The Artificial Intelligence Show

Live from Los Angeles! As Mike records from Anaheim prepping for the California of Realtors annual REimagine event, and Paul Roetzer is coming off the heels of a whirlwind trip to Munich for an event he keynoted, they sit down for a quick 56 minutes to regroup on the latest in artificial intelligence, business, and marketing. Paul and Mike discuss: AI and the workforce: professional services plus AI’s impact on our work, and what’s next for AI? And then, a handful of rapid-fire topics for you. This episode is brought to you by AiAdvertising. Learn more at www.aiadvertising.com/aipod. 00:02:48 — Major service firms pivoting to AI 00:21:04 — AI and its impact on our work 00:42:59 — Where AI is going based on real-world experience 00:38:34 — “Getting this right with AI” according to Silicon Valley 00:43:32 — Dreamforce AI updates 00:46:22 — Google Gemini nears release 00:48:27 — Deutsche Bank and generative AI 00:51:08 — Newsom’s executive order on AI 00:52:39 — Stable Audio launches Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home

Inside Elon Musk’s struggle for the future of AI We just got a never-before-seen look at how—and why—Elon Musk decided to go all-in on artificial intelligence. This comes from an article by Walter Isaacson in Time, and is adapted from his upcoming book Elon Musk, which publishes today! Issacson’s name may ring a bell, as he’s also the author of the Steve Jobs biography.) In the article, Issacson gives new details on the actions Elon Musk has taken to get highly involved in the future of AI. It turns out that Musk has become increasingly worried about the development of advanced AI—and considers it probable that we develop superintelligent AI that poses an existential risk to humanity if not properly shepherded into existence. Much of his discontent seems to have come from rocky relationships with Google over its acquisition of DeepMind and displeasure that OpenAI, which he co-founded, pivoted away from being a non-profit lab releasing AI advancements for everyone to use and build upon. As Isaacson details, Musk has spent years developing dedicated AI capabilities across his companies, including Neuralink, Tesla, and SpaceX. He’s also actively considering how to use Twitter’s data to fuel AI systems. Now, he’s founded an overarching AI company called xAI to tie together all these AI efforts—and tapped a former AI expert at DeepMind, Igor Babuschkin, to join the company. His goal? To ensure AI develops in a way that benefits humanity and guarantees that superintelligent AI doesn’t cause existential risks to the species at large. Musk has made some bold public statements before; it will be interesting to see what develops. We tested out Google Duet AI Google recently released Duet AI for Google Workspace, an AI copilot across popular Google apps like Docs, Sheets, Slides, Gmail, and Meet—and Marketing AI Institute took a deep dive into its capabilities. Over the last week, we’ve spent hours kicking the tires of different Duet AI capabilities across the main apps…and we definitely have some thoughts on how marketers and business leaders can take advantage of these new AI capabilities. Microsoft offers legal protection for AI copyright infringement challenges Microsoft just announced Copilot Copyright Commitment, a policy that provides legal protection for customers sued for copyright infringement when using Microsoft's AI systems like GitHub Copilot and Bing Chat. This comes as the explosion of generative AI tools has raised concerns about reproducing copyrighted material without attribution, and Microsoft aims to give customers confidence in deploying AI without worrying about copyright issues by covering any legal damages. The policy covers Microsoft AI products that use built-in guardrails, as the company faces ongoing litigation over Copilot's alleged copyright violations from scraping code. "As customers ask whether they can use Microsoft’s Copilot services and the output they generate without worrying about copyright claims, we are providing a straightforward answer: yes, you can, and if you are challenged on copyright grounds, we will assume responsibility for the potential legal risks involved," writes Microsoft. A big statement. What does that mean for businesses? Enjoy the episode…and stick around for the rapid-fire topics, including announcements at INBOUND, Time’s Top 100 People in AI, and much more.

Introducing ChatGPT Enterprise OpenAI announced they’re launching ChatGPT Enterprise. This is a version of ChatGPT with enterprise-grade security and privacy, unlimited higher-speed GPT-4 access, longer context windows, advanced data analysis capabilities, customization options, and more. The move appears to be a response to enterprise demand for a safe, compliant version of ChatGPT, says OpenAI. “Since ChatGPT's launch just nine months ago, we’ve seen teams adopt it in over 80% of Fortune 500 companies. We've heard from business leaders that they’d like a simple and safe way of deploying it in their organization.” Now, it looks like they’re getting just that. New Google AI Updates at Google Cloud Next 23 Google made some big AI announcements at Google Cloud Next ‘23. The event was headlined by Google’s announcement that Duet AI for Workspace, its generative AI tool in Gmail, Docs, Sheets, Slides, Chat, and Meet, is now generally available and has a no-cost trial. As part of the event, Google also announced new models in Vertex AI, their suite of APIs for foundational models. You can now access Llama 2 and Code Llama from Meta using Vertex AI—and Claude 2 is coming soon. Also mentioned, there is a new digital watermarking functionality for Imagen, Google’s image generation technology. This is powered by Google DeepMind’s SynthID and could give us a preview of how we’ll be accurately identifying AI-generated images and text in the future. OpenAI disputes authors’ claims that every ChatGPT response is a derivative work OpenAI has finally broken its silence after being sued by a number of authors, all of whom allege that ChatGPT was illegally trained on their work without permission. OpenAI is looking to dismiss the lawsuits, saying: "the use of copyrighted materials by innovators in transformative ways does not violate copyright." Unlike plagiarists who seek to directly profit off distributing copyrighted materials, OpenAI argued that its goal was "to teach its models to derive the rules underlying human language" to do things like help people "save time at work," "make daily life easier," or simply entertain themselves by typing prompts into ChatGPT. Citing a notable copyright case involving Google Books, OpenAI also reminded the court that "while an author may register a copyright in her book, the 'statistical information' pertaining to 'word frequencies, syntactic patterns, and thematic markers' in that book are beyond the scope of copyright protection." Enjoy the episode! It was a busy week in the world of AI! Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

Pirated books are powering generative AI The Atlantic just released a major investigative journalism piece that proves popular large language models, like Meta’s LLaMA, have been using pirated books to train their models—a fact that was previously alleged by multiple authors in multiple lawsuits against AI companies. The article states, “Upwards of 170,000 books, the majority published in the past 20 years, are in LLaMA’s training data. . . . These books are part of a dataset called “Books3,” and its use has not been limited to LLaMA. Books3 was also used to train Bloomberg’s BloombergGPT, EleutherAI’s GPT-J—a popular open-source model—and likely other generative-AI programs now embedded in websites across the internet.” According to an interview in the story with the creator of the Books3 dataset of pirated books, it appears Books3 was created with altruistic intentions. Reisner interviewed the independent developer of Books3, Shawn Presser, who said he created the dataset to give independent developers “OpenAI-grade training data,” in fear of large AI companies having a monopoly over generative AI tools. The 2023 State of Marketing AI Report findings Marketing AI Institute, in partnership with Drift, just released our third-annual State of Marketing AI Report. The 2023 State of Marketing AI Report contains responses from 900+ marketers on AI understanding, usage, and adoption. In it, we’ve got tons of insights on how marketers understand, use, and buy AI technology, the top outcomes marketers want from AI, the top barriers they face when adopting AI, how the industry feels about AI's impact on jobs and society, who owns AI within companies, and much more. Paul and Mike talk about some of the most interesting findings from the data. You can now fine-tune GPT-3.5 Turbo OpenAI just announced a big update: You can now fine-tune GPT-3.5 Turbo to your own use cases. This means you can customize the base GPT-3.5 Turbo model to your own needs, so they perform much better on use cases that may be custom to your organization’s specific needs. For instance, you might fine-tune GPT-3.5 Turbo to better understand text that’s highly specific to your industry or business. You might also fine-tune models to sound more like your brand in their outputs or remember specific examples or preferences when producing outputs, so you don’t have to spend resources and bandwidth on highly complex prompts every time you use a model. Notably, OpenAI says: “Early tests have shown a fine-tuned version of GPT-3.5 Turbo can match, or even outperform, base GPT-4-level capabilities on certain narrow tasks.” They also note fine-tuning for GPT-4 will be coming this fall. Plus…the rapid-fire topics this week are interesting, so stick around for the full episode. Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

AI is going to eliminate way more jobs than anyone realizes AI is going to eliminate way more jobs than anyone realizes, according to a new in-depth article from Business Insider. The publication says AI could disrupt over 300 million jobs worldwide but also add trillions in value to the economy. The article dives into a number of data points that support this conclusion from various sources, including the fact that non-generative and generative AI is estimated to add between $17 trillion and $26 trillion to the global economy. While it’s very hard for economists and technologists to predict exactly what happens next, the article does a solid job of curating the current thinking from some of the top minds and institutions—including AI’s impact on employment and career skills. AI’s exciting and uncertain impact on schools Kids are in full swing going back to school here in the U.S., but there are equal parts excitement and uncertainty as schools everywhere try to grapple with the chaos and opportunity provided by AI tools like ChatGPT. We’re seeing more schools release policies or guidance on the use of AI in the classroom, but those policies and guidelines are often different in tone and content. Some schools are cracking down on AI use in the classroom, and restricting how students are able to use it. Others appear to be taking a positive view of the technology, attempting to guide students and educators on how to make the most of AI tools in a sensible way. Given how important the topics are, and how much uncertainty there is around these policies, we wanted to explore them more in-depth given how quickly AI has upended education as usual. New York Times considers legal action against OpenAI as copyright tensions swirl The New York Times is exploring suing OpenAI over using its articles to train AI models like ChatGPT without permission, according to reporting from NPR, setting up a potential major copyright battle over generative AI. The Times is concerned ChatGPT competes with it by answering questions using the paper's original reporting. If AI tools replace visiting news sites, it threatens the Times' business. The Times is also concerned about how OpenAI’s systems get information by scraping the internet, and potentially copyrighted material, to train models. The Times and OpenAI have been discussing a licensing agreement for the Times’ content, but NPR seems to indicate this has gone so poorly the Times is now considering legal action. And, unsurprisingly, there’s a lot more covered. Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

It’s been another interesting week in the world of AI…with a few things we need to keep our eyes on. Paul and Mike break it all down—and then some—on this week’s episode of The Marketing AI Show. Anthropic CEO joins the Dwarkesh podcast to talk about the future of AI. Dario Amodei, CEO and co-founder of Anthropic (maker of the Claude 2 large language model released in July of this year), just gave a wide-ranging interview on the future of AI. The interview took place on a recent episode of the Dwarkesh Podcast (linked in the show notes). It’s a must-listen, primarily because these types of interviews aren’t all that common. Due to considerations around competition and security, the heads of major AI outfits don’t always share in-depth their views on the industry and where it’s going. Not to mention, Amodei himself has a relatively small footprint online, so hearing from him is even less common. We’d encourage you to listen to the entire episode, but on our podcast, Paul and Mike call out some big highlights that have us thinking a little differently about the future of AI. Red-teaming at DEF CON finding flaws and exploits in chatbots If you aren’t familiar with “red-teaming,” it’s a critical aspect of making generative AI models that are as safe and aligned as possible. For example, GPT-4 was red-teamed for 6 months before its release in March 2023. This week, top hackers from around the world have converged at DEF CON in Vegas to find flaws and exploits in the latest chatbots from OpenAI, Google, Anthropic, and Stability. The teams working on red teaming often find these exploits by trying to “break” these systems in novel ways and by imagining creative, though nefarious, ways in which AI tools can be misused. The Washington Post shares examples of red-teaming: “AI red teams are studying a variety of potential exploits, including “prompt attacks” that override a language model’s built-in instructions and “data poisoning” campaigns that manipulate the model’s training data to change its outputs.” The results of the competition will be kept under wraps for a few months, so companies have time to address any issues highlighted by the red teaming efforts. Award-winning author finds AI-generated books written in her name Author Jane Friedman, who has written multiple books and was named a “Publishing Commentator of the Year” for her work in the publishing industry, woke up to a nightmare this week. A reader emailed her about her new book which just hit Amazon. The nightmare wasn’t due to getting a terrible review from a reader, it was due to the fact Friedman hadn’t written a new book at all. Friedman quickly discovered that half a dozen books had been published under her name that she didn’t write—and the books were AI-generated. The fake titles have since been removed from Amazon, but not before Friedman met resistance from the company. Paul and Mike explain the situation…and the implications. There are rapid-fire topics to be discussed, including Zoom backtracking since last week’s episode, and much, much more. Tune in!

Huge updates for ChatGPT are announced OpenAI just announced huge updates for ChatGPT that hold the potential to transform how we use this popular AI tool. The updates include a number of things including: Prompt examples: At the beginning of a new chat, you’ll now see examples to help you get started; Suggested replies: ChatGPT now suggests relevant ways to continue your conversation; GPT-4 by default: When starting a new chat as a Plus user, ChatGPT will remember your previously selected model — no more defaulting back to GPT-3.5; Upload multiple files: You can now ask ChatGPT to analyze data and generate insights across multiple files. This is available with the Code Interpreter beta for all Plus users; Stay logged in: You’ll no longer be logged out every 2 weeks; Keyboard shortcuts: Work faster with shortcuts, like ⌘ (Ctrl) + Shift + ; to copy last code block. Try ⌘ (Ctrl) + / to see the complete list. Also, missing from the update announcement but spotted by entrepreneur Neal Khosla on Twitter (and confirmed by Marketing AI Institute) it looks like the cap on messages in GPT-4 (within ChatGPT Plus) has gone away. A new, autonomous AI agent debuts from OthersideAI Matt Shumer, the CEO of OthersideAI, maker of the popular AI writing tool Hyperwrite, just debuted an AI system called “Agent-1,” a breakthrough model that can operate software like a human. Agent-1 will power the company’s Personal Assistant product, which lets you give AI commands that it can then execute autonomously using your web browser. In a demo video posted to Twitter, Shumer showed Agent-1 controlling a Google Cloud dashboard on its own. Other demo videos of Personal Assistant have shown the tool autonomously planning travel for a user and drafting and sending an email to team members on its own based on a simple command given by the user. A vertical-specific LLM launches - and is a good example of what’s possible Writer, a leading AI software tool and friend of Marketing AI Institute, has released a large language model designed specifically for use in healthcare. The model is called Palmyra-Med, and Writer says it has outperformed both GPT-4 and medically trained human test-takers on PubMedQA, the leading benchmark for biomedical question answering. Unlike a generic model like GPT-4, which knows a little bit about a lot of things and, as such, can be used for a wide variety of tasks, Palmyra-Med is specifically trained on publicly available sets of medical data. Writer clearly hopes to make generative AI much more accessible to healthcare organizations. Historically, adoption in healthcare of LLMs has been limited, given healthcare organizations’ needs for specific medical accuracy from AI tools and robust security and compliance features that many AI systems lack. How will this change AI in an industry like healthcare? There are many more topics to be discussed, including McKinsey’s annual report, and a peek inside what’s happening over at Zoom.

That’s a wrap on MAICON 2023, and Paul and Mike break down some common themes, key takeaways, thoughts on what’s next, and much, much more. And while our annual Marketing AI Conference was top of mind the most, a story on Sam Altman and more news on generative AI’s impact on jobs were two topics that needed to be covered. A recap of MAICON 2023 In case you’ve missed it, it’s been a huge week here at Marketing AI Institute as we just wrapped up our 2023 Marketing AI Conference (MAICON) last Friday. This event was our biggest yet by far, with 700+ amazing marketers and business leaders coming together in Cleveland (our home base) to share, collaborate, learn, and grow together. We had a spectacular lineup of speakers, 2+ days of incredible content, and world-class conversations and connections between some of the top professionals in AI, marketing, and business. Paul and Mike talked through some of the highlights. Whether you attended or weren’t able to make it, we hope this portion of the podcast creates some value for you and helps you learn more about this unique event in our industry. The Atlantic posts an interesting story on Sam Altman The Atlantic just published one of the most comprehensive deep dives into OpenAI—its history, where it stands today, and where it’s going. And this article was informed by several in-depth interviews with CEO and co-founder Sam Altman. Titled “Does Sam Altman Know What He’s Creating?”, the article looks at how OpenAI went from near-failure trying to develop rudimentary AI models to GPT-4, which Altman described to the reporter as an “alien intelligence.” This article is long but well worth reading in full. The link is below. There’s too much to summarize in this short paragraph, so be sure to tune in. You won’t regret it! Generative AI and another look at the future of work Will AI take your job? According to some new research from McKinsey, it’s complicated. McKinsey just released a report called “Generative AI and the future of work in America.” In this report, they attempt to forecast AI’s impact on employment in the U.S. Overall, McKinsey said that employment changes caused by AI that they’ve been tracking in earlier research “are happening even faster and on an even bigger scale than expected.” Some of the research’s key findings include: By 2030, activities that account for up to 30 percent of hours currently worked across the US economy could be automated—a trend accelerated by generative AI. Generative AI could enhance the way STEM, creative, and business and legal professionals work rather than eliminating a significant number of jobs outright. Automation’s biggest effects are likely to hit other job categories, which include office support, customer service, and food service employment. An additional 12 million occupational transitions may be needed by 2030. As people leave shrinking occupations, the economy could reweight toward higher-wage jobs. Workers in lower-wage jobs are up to 14 times more likely to need to change occupations than those in highest-wage positions, and most will need additional skills to do so successfully. Women are 1.5 times more likely to need to move into new occupations than men. The United States will need workforce development on a far larger scale as well as more expansive hiring approaches from employers. Employers will need to hire for skills and competencies rather than credentials, recruit from overlooked populations (such as rural workers and people with disabilities), and deliver training that keeps pace with their evolving needs. There’s plenty more data in this research that is worth checking out, and this is a segment in the podcast worth listening to.

With MAICON 2023 just around the corner, Paul Roetzer and Mike Kaput break down very different directions of AI this week. From incredible to dumb, from thorough to questionable, there’s lots to break down. Meta’s incredible new (free!) ChatGPT competitor is here Meta’s latest announcement has big implications for the world of AI. The company announced that its new, powerful large language model, LLaMA 2, will be available free of charge for research and commercial use. The model is “open source,” which means anyone can copy it, build on top of it, remix it, and use it however they see fit. This puts an extremely powerful large language model into anyone’s hands—and gives them the appropriate permissions to build products with it. But that’s not all. It signals a major strategic direction that Meta is taking to compete with other AI companies—one that could have an effect on AI safety. Some major AI players place serious restrictions on the use and release of their models, often due to concerns about how models might be misused if they’re put in the wrong hands without guardrails. Meta is taking the opposite approach, believing that getting the technology into anyone and everyone’s hands will make the technology better much faster—and more quickly help Meta reveal and address issues that contribute to safety, like the use of the model to produce misinformation or toxic content. Will this new approach be successful? Elon Musk changes Twitter to X Musk is in this news again. As of the morning of the podcast recording (July 24, 2023), he has formally rebranded Twitter as X. The platform formerly known as Twitter hasn’t changed much aside from its logo, but it seems like Musk and leadership are viewing it as just one piece of a much larger entity. In a somewhat cryptic set of tweets, CEO Linda Yaccarino said: “X is the future state of unlimited interactivity – centered in audio, video, messaging, payments/banking – creating a global marketplace for ideas, goods, services, and opportunities. Powered by AI, X will connect us all in ways we’re just beginning to imagine.” In the past couple weeks, Musk has also announced xAI, his new company dedicated to building “good” artificial general intelligence and competing with OpenAI, among others. Time will tell what this means for the future of the brand. Meta, Google, and OpenAI Make AI Responsibility Promises to the White House Seven major AI companies—Amazon, Anthropic, Google, Inflection, Meta, Microsoft, and OpenAI—have all agreed to safety commitments proposed by the White House. The commitments include promises to engage in “security testing” carried out by independent experts, using digital watermarking to identify AI-generated vs. human-generated content, testing for bias and discrimination in AI systems, and several other safety-related actions. It should be noted these are simply voluntary commitments publicly announced by the companies and the White House, not any type of formal regulation or legislation. We discuss this on this week’s episode and will keep our eyes on this for you. Tune into the last pre-MAICON 2023 episode! We’ll be back next week with more news, more insights, and lots of MAICON takeaways to share with you all.

AI-Powered Content Strategy In exciting news, this podcast, The Marketing AI Show, recently surpassed 100,000 downloads. That’s exciting and a huge milestone for us, but the story is the content strategy…and AI’s role in it. Prior to October 2022, the podcast format was interview-style, where Paul was vetting experts, scheduling interviews, and more, causing inconsistency. This led to the podcast being an afterthought in the marketing strategy. Then in October, we put the weekly podcast at the center of our content strategy. Today, each episode averages more than 4,500 downloads. To put that in perspective, we had 4,800 downloads the entire year of 2022! Plus, we’ve heard from listeners all over the world about how the podcast has impacted them, and how they’ve come to rely on it for their weekly AI news. In this podcast episode, we’re going to talk a bit about how the podcast became key to our content strategy and how AI makes it possible to efficiently produce high-quality episodes that perform. Claude 2 from Anthropic Major AI company Anthropic just announced the release of Claude 2, its new foundational AI model. Similar to ChatGPT, you can engage with Claude 1 and now Claude 2 through natural language prompts to perform a range of functions, like generating text, answering questions, and producing code. Claude 2 has improved reasoning from Claude 1, and even scores above the 90th percentile on the GRE reading and writing exam. Some of the changes are impressive, including most notably, the number of tokens you can input into Claude 2 is massive. You can input up to 100,000 tokens into a single prompt, which, says Anthropic, “means that Claude can work over hundreds of pages of technical documentation or even a book.” Is 100,000 a lot? Yes…The Great Gatsby would be about 72,000 tokens! There are also so many other great benefits and enhancements. Paul and Mike break them down in the 2nd story of the podcast. Major Google Bard updates Google just announced a ton of new features for Bard, its ChatGPT-like conversational agent. Bard is now available in 40 languages and many more countries than before, including the European Union. Some of the other major updates include changing the tone and style of Bard's responses to five different options, you can drop images into it and have Bard perform a range of tasks related to the image, you can share Bard’s responses with others via shareable links, and more. Tune in to the podcast to hear more of the updates both from a functionality as well as a UX standpoint. We cover a lot of ground this week, and per usual, it was another big week in AI news stories, so be sure to tune in!

As generative AI continues to improve, iterate, and integrate, there are news stories to discuss and advancements to break down. That’s why we’re happy Paul Roetzer and Mike Kaput are back for episode 54 of The Marketing AI Show. ChatGPT Code Interpreter available for all OpenAI announced on July 6 that ChatGPT’s Code Interpreter feature will be made available to all ChatGPT Plus users. Previously, only select users received access after signing up for a waitlist. Code Interpreter gives ChatGPT the ability to run code, use files you upload to produce outputs, analyze data, create charts, and perform sophisticated math. This gives ChatGPT the ability to do all sorts of data analysis and code-dependent tasks it couldn’t do well before. People are already using Code Interpreter in interesting ways including customer segmentation, data visualization, and data analysis. The misuse of AI in content and media A handful of stories in the past several weeks are shedding light on the dangers and misuse of AI in content and media. A report from misinformation tracking site NewsGuard shows that content farms using AI to generate hundreds of low-quality articles a day are raking in programmatic ad dollars—and hundreds of brands are unwittingly supporting them. And otherwise legitimate media sites are following their lead. Tech site Gizmodo recently started publishing AI-generated content and the results were problematic. One article on Star Wars movies was riddled with inaccuracies and prompted an outcry from Gizmodo staff, who said these types of stories were “actively hurting our reputations and credibility” and showed “zero respect” for journalists. Last, but certainly not least, news came out of a leaked email from German tabloid Bild detailing how the publication plans to replace over a hundred jobs with AI. Investors are betting on generative AI. Why and how? Research recently published by McKinsey estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion of annual value to the global economy. The firm estimates that about 75% of this value will accrue through four use cases: customer operations, marketing and sales, software engineering, and R&D.The impact will be felt across all industries and sectors, but McKinsey specifically points out that banking, high-tech, and life sciences could see the largest impact. The full research report is well worth a read. But the larger point here is that the possible market impact of generative AI is massive. And investors are clearly responding to that, having just written some huge checks to leading generative AI companies. One big example: Inflection AI announced it raised $1.3 billion in a fresh fundraising round led by Microsoft, LinkedIn founder Reid Hoffman, Bill Gates, and NVIDIA.Inflection AI has been around just over a year and, in that time, the company has built one of the world’s most sophisticated large language models, which powers Pi, its personal AI assistant product. The company is also the “largest AI cluster in the world comprising 22,000 NVIDIA H100 Tensor Core GPUs.” It’s also important to note that Inflection AI’s CEO and co-founder Mustafa Suleyman also co-founded DeepMind, which was acquired by Google and forms the backbone of their AI work. Another example: At the same time, Runway, which builds generative AI tools for creators, announced a $141 million extension to its Series C funding round from companies like Google, NVIDIA, and Salesforce Ventures.

The band is back together! After Episode 51’s Year (so far) in Review and Episode 52’s Top AI Questions episodes, Paul Roetzer and Mike Kaput are back to the podcast format you’re used to. Well, sort of. Because there’s a bit of news to catch up on, many topics that took place over the past few weeks were covered in this episode. We hope you enjoy it! Salesforce Unveils AI Cloud Offering Salesforce just launched “AI Cloud,” which gives enterprises the ability to safely use enterprise-ready AI. AI Cloud is a platform that hosts the company's AI-powered products, such as Einstein, Slack, and Tableau, as well as large-language models from other providers like Amazon Web Services. The firm aims to cater to enterprises by ensuring data privacy and preventing AI models from retaining sensitive customer information. According to Reuters, Salesforce says the AI Cloud “starter pack” will be available for $360,000 annually, the company said. The U.S. Senate Gets Up to Speed on AI Senate Majority Leader Chuck Schumer announced a series of educational sessions on artificial intelligence for senators as Congress explores potential regulations for the technology. The first session, led by MIT professor and machine learning expert Antonio Torralba, aims to provide a general overview of AI and its current capabilities. The initiative underscores the importance of lawmakers understanding AI, its implications, and its challenges in order to create legislation that both fosters its potential for human prosperity and mitigates its risks. This seems like a positive step forward, but is it surprising that the Senate is only just now starting to educate its members on AI’s basics? In addition, President Biden and his advisors have been leveraging AI technology, such as OpenAI's ChatGPT, and have moved AI from a peripheral concern to a central priority in policy development, recognizing its potential for both tremendous benefits and risks. The White House is acting with urgency to establish a regulatory framework for AI through executive orders and new policies, aiming to maximize positive impact and mitigate unintended consequences, with a focus on areas such as cybersecurity, consumer protection, and economic transformation. Hyperwrite’s Matt Shumer announces GPT Author What if we told you AI can now write entire novels in minutes based on an initial text prompt? Matt Shumer, co-founder and CEO of OthersideAI, which makes the AI writing tool, HyperWrite, recently announced an open-source project called GPT Author. The project strings together a chain of AI systems to write an entire book for you in minutes, complete with cover art and easy export to the Kindle store—all based on a description of the high-level details you want to see in your novel. Tune in for his experience and Paul’s reaction. This summary only scratches the surface of the topics covered, so be sure to tune in! The Marketing AI Show can be found on your favorite podcast player and be sure to explore the links on our website: www.marketingaiinstitute.com.

After 26 Intro to AI classes since November 2021, we’ve seen quite the gamut of questions from our attendees. So far in 2023, we’ve hosted seven classes, with a collective 147 questions asked. We wanted to take this week’s podcast episode and run through the most commonly asked questions–and answers. We hope you enjoy this episode, and join us for our next Intro to AI for Marketers class on June 28! 00:07:03 — How do you define "generative" in the context of AI, and how might it be applied in various marketing disciplines, such as marketing, design, or podcasting? 00:08:07 — How can marketers balance the integration of AI in their strategies while maintaining the human touch and creativity in their campaigns? How will the role of human creativity evolve within this AI-driven landscape? 00:11:14 — As AI continues to improve, how can writers maintain their value in a world where AI is getting better at creating flowing and creative content? 00:13:13 — Given the rapid pace of change in marketing technology, what advice would you offer to businesses trying to navigate the influx of AI tools in the market, and how can they build a coherent tech stack? 00:16:01 — As more and more AI-based companies emerge, how can marketers discern which ones to invest in for their company's specific needs? 00:19:09 — How can the marketing department work collaboratively with IT/AI/technology teams to leverage AI capabilities? 00:20:48 — Do marketers need to be concerned with plagiarism when using AI writing tools? Do AI writing detection tools work? 00:25:43 — How can someone verify the content generated by AI? 00:28:33 — Can AI replace or supplement roles like graphic designers? And how accessible are these AI tools for non-designers to create their own visuals? 00:30:08 — What are the potential impacts and opportunities for agencies as AI technology advances? How can they adapt today to ensure they aren't left behind? 00:32:56 — In terms of language capabilities, how far have AI tools come, and what can expect moving forward? 00:36:01 — Given the rise of privacy concerns with AI tools, what guidelines should companies follow while using AI models like ChatGPT? 00:38:06 — How can companies ensure they comply with copyright regulations when generating images with AI? How do you envision the evolution of copyright legislation in the context of large language model AI? How should companies handle their proprietary data? 00:44:13 —I want to get started TODAY. What are some steps I should take immediately to learn or to identify ways I should get started? 00:47:03 — As we move toward an increasingly AI-driven world, what are your thoughts on the future role of humans? What advice would you give to those who might feel threatened by the rise of AI? Learn more about us at www.marketingaiinstitute.com. You'll find webinars, reports, blueprints, research, and more.

This week’s episode features Paul Roetzer giving a quick year-in-review. It’s been a busy six months, and Paul references some of the top stories and developments of 2023. Hear more, and visit our website for links, YouTube videos, and more. (www.marketingaiinstitute.com) 00:05:08 Jan. 16: ChatGPT Disrupts Education 00:05:53 Jan. 17: Getty Images Announces That It Has Commenced Legal Proceedings Against Stability AI; 00:08:05 Jan. 28: Marketing AI Institute’s Responsible AI Manifesto 00:11:51 Feb. 1: UBS Announces That ChatGPT Hit 100M Users in January 00:12:33 Feb. 6: Google Bard Is Announced 00:14:13 Feb. 7: Microsoft Announces AI-Powered Bing and Edge 00:14:53 Feb. 24: Meta Publicly Releases LLaMA Under a Noncommercial License Focused on Research Use Cases 00:17:44 Mar. 2: Marketing AI Institute’s Law of Uneven AI Distribution 00:20:24 Mar. 6: HubSpot Releases ChatSpot in Public Alpha (and Content Assistant in Private Beta) 00:22:19 Mar. 7: Salesforce Announces Einstein GPT in Closed Pilot 00:23:36 Mar. 14: GPT-4 Is Announced 00:25:02 Mar. 14: Google Announces PaLM and Expanded AI Features in Google Workspaces 00:27:04 Mar. 14: Anthropic Announces Claude 00:29:03 Mar. 16: U.S. Copyright Office Releases Generative AI Guidance 00:30:48 Mar. 16: Microsoft Introduces Microsoft 365 Copilot 00:32:55 Mar. 20: Runway Announces Gen-2 00:34:34 Mar. 21: Adobe Announces Firefly Generative AI Capabilities 00:36:25 Mar. 22: AI Experts Release Open Letter to Pause AI Development 00:38:46 Mar. 23: OpenAI Announces ChatGPT Plugins 00:40:05 Mar. 30: Release of AutoGPT 00:42:24 Mar 31: Italy Bans ChatGPT 00:43:28 Apr. 13: Amazon Announces Generative AI in AWS 00:44:55 Apr. 19: Marketing AI Institute Statement on Knowledge Work 00:47:02 May 1: Geoff Hinton Announces He Has Quit Job at Google Over Safety Concerns 00:49:35 May 10: Google Announces Generative Search Experience 00:50:35 May 16: Sam Altman Testifies Before Congress 00:52:40 May 30: AI Poses “Risk of Extinction” According to AI Leaders 00:54:06 June 5: Apple announces Vision Pro 00:55:51 Jun 7: DeepMind Announces AlphaDev Breakthrough in Sorting Algorithms 00:59:02 June 8: Cohere announces $270M Series C

Thanks for joining us for episode 50! While AI breakthroughs slowed down this week, insights, best practices, and conversations continued. Paul Roetzer and Mike Kaput catch up on the artificial intelligence news impacting marketing and business leaders. OpenAI dropped chat prompt suggestions Logan Kilpatrick from OpenAI gave us helpful tips on crafting prompts. Quite simply (or so it seems), Kilpatrick offers six strategies for getting better results: write clear instructions, provide reference text, split complex tasks into simpler subtasks, give GPTs time to "think", use external tools, and test changes systematically. Is it that easy? What has OpenAI learned, and how can marketers follow these strategies while still differentiating themselves? Could generative AI transform healthcare? Could generative AI transform healthcare for the better? One expert thinks so. Dr. Robert M. Wachter, professor, and chair of the Department of Medicine at the University of California, San Francisco, outlines why in a new essay commissioned by Microsoft. In it, Dr. Wachter says he’s optimistic that generative AI systems like GPT-4 have the potential to reshape how healthcare works. This article caught Paul’s attention, and Paul and Mike break it down on the podcast, discussing not only marketing but also better patient outcomes and a reduction in healthcare costs. High costs and AI adoption According to a new report from The Information: “More than 600 of Microsoft’s largest customers, including Bank of America, Walmart, Ford, and Accenture, have been testing the AI features in its Microsoft Office 365 productivity apps, and at least 100 of the customers are paying a flat fee of $100,000 for up to 1,000 users for one year, according to a person with direct knowledge of the pilot program.” The proposed pricing models for AI features will impact business leaders' decision-making regarding AI adoption, especially small businesses. This helpful episode of The Marketing AI Show can be found on your favorite podcast player and be sure to explore the links below.

Google Introduces AI-Powered Ads Google just announced new AI features within Google Ads, from landing page summarizations to generative AI helping with relevant and effective keywords, headlines, descriptions, images, and other assets for your campaign. Microsoft Rolls Out AI Copilots and AI Plugins Two years ago, Microsoft rolled out its first AI “copilot,” and this year, Microsoft introduced other copilots across core products and services, including AI-powered chat in Bing, Microsoft 365 Copilot, and others across products like Microsoft Dynamics and Microsoft Security. Cities and Schools Embrace Generative AI We see some very encouraging action from schools and cities regarding generative AI. According to Wired, New York City Schools have announced they will reverse their ban on ChatGPT and generative AI. Additionally, the City of Boston's chief information officer sent guidelines to every city official encouraging them to start using generative AI to understand its potential. AI Resources from Andreessen Horowitz Andreessen Horowitz recently shared a curated list of resources, their “AI Canon,” they’ve relied on to get smarter about modern AI. It includes papers, blog posts, courses, and guides that have had an outsized impact on the field over the past several years. DeepMind’s AI Risk Early Warning System In DeepMind’s latest paper, they introduce a framework for evaluating novel threats–misleading statements, biased decisions, or repeating copyrighted content–co-authored with colleagues from a number of universities and organizations. OpenAI’s Thoughts on the Governance of Superintelligence Sam Altman, Greg Brockman, and Ilya Sutskever recently published their thoughts on the governance of superintelligence. They say that proactivity and mitigating risk are critical, alongside special treatment and coordination of superintelligence. White House Takes New Steps to Advance Responsible AI Last week, the Biden-Harris Administration announced new efforts that “will advance the research, development, and deployment of responsible artificial intelligence (AI) that protects individuals’ rights and safety and delivers results for the American people.” This includes an updated roadmap and a new report on the risks and opportunities related to AI in education. Fake Image of Pentagon Explosion Causes Dip in the Stock Market A fake image purporting to show an explosion near the Pentagon was shared by multiple verified Twitter accounts on Monday, causing confusion and leading to a brief dip in the stock market. Based on the actions and reactions of the day, are we unprepared for this technology? Meta’s Massively Multilingual Speech Project Meta announces their Massively Multilingual Speech (MMS) project, combining self-supervised learning, a new dataset that provides labeled data for over 1,100 languages and unlabeled data for nearly 4,000 languages, as well as publicly sharing models and code so that others in the research community can build upon Meta’s work. More Funding Rounds Anthropic raised $450 million in Series C funding. Figure Raises $70M Series A to accelerate robot development, fund manufacturing, design an end-to-end AI data engine, and drive commercial progress. OpenAI CEO Sam Altman has raised $115 million in a Series C funding round for Worldcoin which aims to distribute a crypto token to people "just for being a unique individual." NVIDIA Stock Soars on historic earnings report Nvidia’s stock blew past already-high expectations last Wednesday in its earnings report. Dependency on Nvidia is so widespread that Big Tech companies have been working on developing their own competing chips, much like Apple spent years developing its own chips so it could avoid having to rely on — and pay — other companies to outfit its devices.

AI came to Washington in a big way. OpenAI CEO Sam Altman appeared before Congress for his first-ever testimony, speaking at a hearing called by Senators Richard Blumenthal and Josh Hawley. The topic? How to oversee and establish safeguards for artificial intelligence. The hearing lasted nearly three hours and focused largely on Altman, though Christina Montgomery, an IBM executive, and Gary Marcus, a leading AI expert, academic, and entrepreneur, also testified. During the hearing, Altman covered a wide range of topics, including a discussion of different risks posed by generative AI, what should be done to address those risks, and how companies should develop AI technology. Altman even suggested that AI companies be regulated, possibly through the creation of one or more federal agencies and/or some type of licensing requirement. The hearing was divisive. Some experts applauded what they saw as much-needed urgency from the federal government to tackle important AI safety issues. Others criticized the hearing for being far too friendly, citing worries that companies like OpenAI are angling to have undue influence over the regulatory and legislative process. An important note: This hearing appeared to be informational in nature. It was not called because OpenAI is in trouble. And it appears to be the first of many such hearings and committee meetings on AI that will happen moving forward. In this episode, Paul and Mike tackled the hearing from three different angles as our three main topics today, as well as talked about a series of lower-profile government meetings that occurred. First, they do a deep dive into what happened, what was discussed, and what it means for marketers and business leaders. Then they took a closer look at the biggest issues in AI safety that were discussed during the hearing and that the hearing is designed to address. At one point during the hearing, Altman said "My worst fear is we cause significant harm to the world.” Lawmakers and the AI experts at the hearing cited several AI safety risks they’re losing sleep over. Overarching concerns included election misinformation, job disruption, copyright and licensing, generally harmful or dangerous content, and the pace of change. Finally, Paul and Mike talked through the regulatory measures proposed during the hearing and what dangers there are, if any, of OpenAI or other AI companies tilting the regulatory process in their favor. Some tough questions were raised in the process. Senate Judiciary Chair Senator Dick Durbin suggested the need for a new agency to oversee the development of AI, and possibly an international agency. Gary Marcus said there should be a safety review, similar to what is used with the FDA for drugs, to vet AI systems before they are deployed widely, advocating for what he called a “nimble monitoring agency.” On the subject of agencies, Senator Blumenthal cautioned that the agency or agencies must be well-resourced, with both money and the appropriate experts. Without those, he said, AI companies would “run circles around us.” As expected, this discussion wasn’t without controversy. Tune in to this critically important episode of The Marketing AI Show. Find it on your favorite podcast player and be sure to explore the links below. Listen to the full episode of the podcast Want to receive our videos faster? SUBSCRIBE to YouTube! Visit our website Receive our weekly newsletter Register for a free webinar Come to our next Marketing AI Conference Enroll in AI Academy for Marketers Join our community on Slack, LinkedIn, Twitter, Instagram, and Facebook.

Another week of big news from Google Google just announced major AI updates, including an AI makeover of search. The updates were announced at Google’s I/O developers conference and some of the more important updates were discussed on the podcast. A new next-generation large language model called PaLM 2, “excels at advanced reasoning tasks, including code and math, classification and question answering, translation and multilingual proficiency better than our previous state-of-the-art LLMs.” Next, an AI makeover of search through Google’s “Search Generative Experience” will deliver conversational results to search queries. This will become available to users who sign up for Google’s Search Labs sandbox. Additional improvements include new AI writing tools for Gmail, the removal of the waitlist for Bard, and the ability to create full documents, generate slides, and fill in spreadsheets across tools like Docs, Slides, and Sheets. What’s next for Claude Anthropic, a major AI player and creator of the AI assistant “Claude,” just published research that could have a big impact on AI safety. In the research, the company outlines an approach they’re using “Constitutional AI,” or the act of giving a large language model “explicit values determined by a constitution, rather than values determined implicitly via large-scale human feedback.” This concept is designed to address the limitations of large-scale human feedback, which traditionally determines the values and principles of AI behavior. It aims to enhance the transparency, safety, and usefulness of AI models while reducing the need for human intervention. The constitution of an AI model consists of a set of principles that guide its outputs, and in Claude’s case, encourages the model to avoid toxic or discriminatory outputs, refrain from assisting in illegal or unethical activities, and aim to be helpful, honest, and harmless. Anthropic emphasizes that this living document is subject to revisions and improvements based on further research and feedback. More on the economy and knowledge workers In a recent Brookings Institution article titled, Machines of Mind: The Case for an AI-powered Productivity, the authors explore the potential impact of AI, specifically large language models (LLMs), on the economy and knowledge workers. The authors predict LLMs will have a massive impact on knowledge work in the near future. They say: “We expect millions of knowledge workers, ranging from doctors and lawyers to managers and salespeople to experience similar ground-breaking shifts in their productivity within a few years, if not sooner.” The productivity gains from AI will be realized directly through output created per hour worked (i.e. increased efficiency), and indirectly through accelerated innovation that drives future productivity growth. The authors say they broadly agree with a recent Goldman Sachs estimate that AI could raise global GDP by a whopping 7%. But there’s more to it, so be sure to tune in. Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

Hinton departs Google Geoffrey Hinton, a pioneer of deep learning and a VP and engineering fellow at Google, has left the company after 10 years due to new fears he has about the technology he helped develop. Hinton says he wants to speak openly about his concerns, and that part of him now regrets his life’s work. He told MIT Technology Review: “I have suddenly switched my views on whether these things are going to be more intelligent than us. I think they’re very close to it now and they will be much more intelligent than us in the future. How do we survive that?” He worries that extremely powerful AI will be misused by bad actors, especially in elections and war scenarios, to cause harm to humans. He’s also concerned that once AI is able to string together different tasks and actions (like we’re seeing with AutoGPT), intelligent machines could take harmful actions on their own. This isn’t necessarily an attack on Google specifically. Hinton said that he has plenty of good things to say about the company. But he wants “to talk about AI safety issues without having to worry about how it interacts with Google’s business.” “No Moats” “We have no moat, and neither does OpenAI,” claims a leaked Google memo revealing that the company is concerned about losing the AI competition to open-source technology. The memo, led by a senior software engineer, states that while Google and OpenAI have been focused on each other, open-source projects have been solving major AI problems faster and more efficiently. The memo’s author says that Google's large AI models are no longer seen as an advantage, with open-source models being faster, more customizable, and more private. What do these new developments and rapid shifts mean? The exciting future of AI We talk about a lot of heavy AI topics on this podcast—and it’s easy to get concerned about the future or overwhelmed. But Paul recently published a LinkedIn post that’s getting much attention because it talks about what he’s most excited about AI. Paul wrote, “Someone recently asked me what excited me most about AI. I struggled to find an answer. I realized I spend so much time thinking about AI risks and fears (and answering questions about risks and fears), that I forget to appreciate all the potential for AI to do good. So, I wanted to highlight some things that give me hope for the future…” We won’t spoil it in this blog post, so tune in to the podcast to hear Paul’s thoughts. Listen to this week’s episode on your favorite podcast player and be sure to explore the links below for more thoughts and perspectives on these important topics. Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

Big changes are coming to ChatGPT OpenAI just announced two big updates to ChatGPT. The first is a soon-to-be-released subscription tier called ChatGPT Business. Designed for enterprises, the plan will follow OpenAI’s API data usage policies. That means user data won’t, by default, be used to train ChatGPT. The second is a feature that now allows ChatGPT users to turn off their chat history, which will prevent conversations from being used to train ChatGPT. We got a startling preview of how AI is going to impact politics In the U.S., the 2024 presidential election season kicked off with an attack ad generated 100% by artificial intelligence. The ad imagines a future dystopia where President Joe Biden remains in office after next year’s results. The images, voices, and video clips are stunningly real and were created with widely available AI tools. And they foreshadow an election season where AI can be used by all parties and actors to generate hyper-realistic synthetic content at scale. At the same time, lawmakers in the U.S. and Europe signaled this week that they’re taking more aggressive action to regulate AI. In the U.S., four major federal agencies, including the Federal Trade Commission and the Department of Justice, released a joint statement on their stance toward AI companies. The agencies clarified that they would not treat AI companies differently from other firms when enforcing rules and regulations. In Europe, the European Parliament has reached a deal to move forward on the world’s first “AI rulebook,” the Artificial Intelligence Act. This is a broad suite of regulations that will govern the use of AI within the European Union. These include safeguards against the misuse of these systems and rules that protect citizens from AI risks. AI’s major impact on big tech companies A recent round of tech earnings calls saw major companies like Microsoft, Google, and Meta displaying strong or better-than-expected results—and some of that growth was driven by AI. In Microsoft’s case, Azure revenue was up 27% year-on-year and Microsoft said it was already generating new sales from its AI products. Google was less specific about its AI plans but committed to incorporating generative AI into its products moving forward. Reports have surfaced that Meta is playing catch-up to retool its infrastructure for AI but still saw an unexpected increase in sales in the past quarter. At the same time, these companies face enormous pressure from shareholders to get leaner. Some have conducted layoffs already, with more expected to come. And they’re all relying on AI to capture efficiencies. We saw a stark example of this in practice with a recent announcement from Dropbox that they’re cutting staff by 16%, or 500 people. How should knowledge workers think about this? What steps should we be taking? Today’s rapid-fire topics include Runway Gen-a for mobile, PwC invests $1 billion in generative AI, and AI and human empathy in healthcare, Replit’s funding round, and Hinton’s Google exit. Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

New announcements, fast training with repercussions, and more are discussed in this week’s Marketing AI Show with Paul Roetzer and Mike Kaput. Read more, then tune in! Stunning results from ChatGPT plugins The way we all work is about to change in major ways thanks to ChatGPT—and few are ready for how fast this is about to happen. In a new TED Talk, OpenAI co-founder and president Greg Brockman shows off the power and potential of the all-new ChatGPT plugins…and the results are stunning. Thanks to ChatGPT plugins, ChatGPT can now browse the internet and interact with third-party services and applications, resulting in AI agents that can take actions in the real world to help us with our work. In the talk, Brockman shows off how knowledge workers will soon work hand-in-hand with machines—and how this is going to start changing things months (or even weeks) from now, not years. Paul and Mike talk about capabilities that caught their eye, and what this means for the future of work. Google just announced some huge AI updates However, some within the company say Google is making ethical lapses in their rush to compete with OpenAI and others. There were three significant updates: Google announced that its AI research team, Brain, would merge with DeepMind, creating Google DeepMind. It was also revealed that Google is working on a project titled “Magi.” It involves Google reinventing its core search engine from the ground up to be an AI-first product, as well as adding more AI features to search in the short term. Details are light at the moment, but the New York Times has confirmed some AI features will roll out in the US this year and that ads will remain a part of AI-powered search results. Finally, Google announced Bard had been updated with new features to help you code. Bard can now generate code and help you debug code. As these updates rolled out, reporting from Bloomberg revealed that some Google employees think the company is making ethical lapses by rushing the development of AI tools, particularly around Bard and the accuracy of its responses. What problems arise during training AI tools? AI companies like OpenAI are coming under fire for how AI tools are trained, and social media channels are pushing back. Reddit, which is often scraped to train language models, just announced it would charge for API access, in order to stop AI companies from training models on Reddit data without compensation. Additionally, Twitter recently made a similar move. And Elon Musk publicly threatened to sue Microsoft for, he says, “illegally using Twitter data” to train models. Other companies are sure to follow suit. An investigative report by the Washington Post recently found that large language models from Google and Meta trained on data from major websites like Wikipedia, The New York Times, and Kickstarter. The report raises concerns that models may be using data from certain sites improperly. In one example, the Post found models had trained on an ebook piracy site and likely did not have permission to use the data it trained on. Not to mention, the copyright symbol appeared more than 200 million times in the data set the Post studied. And if that wasn’t enough, StableLM and AI Drake were discussed!

AI-driven automation is quickly becoming a fundamental part of businesses’ tech stacks, but there are also potential dangers associated with this technology. Paul pointed out that AI-driven automation is quickly becoming a fundamental part of businesses’ tech stacks. "I feel like the large language model is going to be as fundamental to the tech stack as a CRM has been for the last ten to 15 years," he said. Mike added that businesses should look for models that allow them to customize the model with their own data and integrate it into their own applications. "You want to tune these models on that data, whether it’s for internal external use cases, and you want to be highly confident in the privacy and security of that data and how these models work within your organization," he said. AI technology is rapidly advancing and is capable of performing complex tasks autonomously with minimal human intervention. Paul discussed AI technology and the need for safety and alignment when building these applications. "We're not going back, we're not going to just stop trying to build these action transformers," he said. "But I really hope that the people that are building these things understand the potential ramifications of what they're building and do everything in their power internally and with their peers who are working on similar technology, to do everything possible, to do it in a responsible way, and to do it with safety, first and foremost." Mike then discussed the impact of AI on labor, noting that AI tech has accelerated the ability of AI to perform knowledge work, including strategic and creative work. AI is advancing quickly and is likely to significantly reduce the time it takes to complete knowledge tasks such as writing, design, coding, and planning. Paul noted that AI-driven disruption of knowledge work is a very real possibility and that organizations and leaders should plan for significant job loss. He also pointed to a survey of almost 800 people, which showed that lack of education and training was the top obstacle to adoption. "It’s coming; it’s going to intelligently automate large portions of your work," Roetzer said. "Based on my own experiences in research as well as the context of dozens of conversations, it is reasonable to assume the time to complete most knowledge tasks such as writing, design, coding, planning, et cetera, can be reduced on average 20% to 30% at minimum with current generative AI technology. And the tech is getting faster and smarter at a compounding rate, so these percentages are only going to rise what it's capable of doing." AI technology has the potential to create a wide range of new jobs and career paths. Paul and Mike discussed the potential impacts of AI technology on the job market and the economy. Mike noted that "this is not just wild speculation," and Paul agreed, saying "I do believe it's going to create lots of new jobs and career paths we can't imagine." He went on to explain that "the flaws and limitations of generative AI are greater than are being discussed in the media and will prevent mass disruption in the near term." Paul also highlighted the importance of humans in the AI process, noting that "the dependence of the machine on the human to make sure it's accurate and safe and aligned with human values" is essential. He suggested creating "generative AI policies that explicitly say how you're using language tools, image generation tools, video generation tools, etc." This episode is brought to you by BrandOps, built to optimize your marketing strategy, delivering the most complete view of marketing performance, allowing you to compare results to competitors and benchmarks.

One step forward, two steps back…or at least made with caution. Meta announces their Segment Anything Model, and in that same breath, we’re talking about ChatGPT and safety, as well as the limitations of being able to detect the usage of ChatGPT. Paul and Mike break it down: Meta AI announces their Segment Anything Model An article from Meta introduces their Segment Anything project, aiming to democratize image segmentation in computer vision. This project includes the Segment Anything Model (SAM) and the Segment Anything 1-Billion mask dataset (SA-1B), the largest segmentation dataset ever. This has wide-ranging applications across different industries. Meta cites that it could do things like be incorporated into augmented reality glasses to instantly identify objects you’re looking at and prompt you with reminders and instructions related to an object. In marketing and business specifically, Gizmodo calls the demo of SAM a Photoshop Magic Wand tool on steroids, and one of its reporters used it to do sophisticated image editing on the fly with ease by simply pointing and clicking to remove and adjust images. Right now, the model is available only for non-commercial testing, but given the use cases, it could find its way into Meta’s platforms as a creative aid. Paul and Mike discuss the opportunities for marketers and the business world at large. Does ChatGPT have a safety problem? Is OpenAI's April 5 statement on their website is a response to calls for increased AI safety, like the open letter signed by Elon Musk and others, and Italy’s full ban on ChatGPT? A new article from WIRED breaks down why and how Italy’s ban could spur wider regulatory action across the European Union—and call into question the overall legality of AI tools. When banning ChatGPT, Italy’s data regulator cited several major problems with the tool. But, fundamentally, their reasoning for the ban hinged on GDPR, the European Union’s wide-ranging General Data Protection Regulation privacy law. Experts cited by WIRED said there are just two ways that OpenAI could have gotten that data legally under EU law. The first would be if they had gotten consent from each user affected, which they did not. The second would be arguing they have “legitimate interests” to use each user’s data in training their models. The experts cited say that the second one will be extremely difficult for OpenAI to prove to EU regulators. Italy’s data regulator has already been quoted by WIRED as saying this defense is “inadequate.” This matters outside Italy because all EU countries are bound by GDPR. And data regulators in France, Germany, and Ireland have already contacted Italy’s regulator to get more info on their findings and actions. This also isn’t just an OpenAI problem. Plenty of other major AI companies likely have trained their models in a way that violates GDPR. This is an interesting conversation and topic to keep our eyes on. With other countries follow suit? Can we really detect the use of ChatGPT? OpenAI, the maker of ChatGPT, just published what it’s calling “Our approach to AI safety,” an article outlining specific steps the company takes to make its AI systems safer, more aligned, and developed responsibly. Some of the steps listed include delaying the general release of systems like GPT-4 to make sure they’re as safe and aligned as possible before being accessible to the public, protecting children by requiring people to be 18 or older, or 13 or older with parental approval, to use AI tools. They are also looking into options to verify users. They cite that GPT-4 is 82% less likely to respond to requests for disallowed content. Listen for more. Why now? Are we confident they’re developing AI responsibly?

AI leaders say slow down, Italy blocks AI, the United Nations implements global framework. But, other leaders keep finding ways to integrate ChatGPT, and new companies are launched. This dichotomy makes for an interesting episode. Paul and Mike break it all down. “The Letter’ heard round the world made waves - but what does it really mean? In an open letter published by the nonprofit Future of Life Institute, a number of well-known AI researchers and tech figures, including Elon Musk and Steve Wozniak, have called on all AI labs to pause the development of large-scale AI systems for at least 6 months due to fears over the profound risks to society and humanity that they pose. The letter notes that AI labs are currently locked in an “out-of-control race” to develop and deploy machine learning systems that no one can understand, predict, or reliably control. The signatories call for a public and verifiable pause and for the development of shared safety protocols for advanced AI design and development. What does it mean, will other countries follow suit, is it a PR play, and at this point, does it even matter? Are we thinking about misinformation and job loss the right way? At the same time, moves are being made internationally: UNESCO (United Nations Educational, Scientific and Cultural Organization) is calling for the immediate implementation of its Recommendation on the Ethics of Artificial Intelligence, a global framework for the ethical use of AI. And, in a bold move, Italy has become the first Western country to block OpenAI's chatbot ChatGPT, citing privacy concerns. The Italian data protection authority said it would ban and investigate OpenAI with immediate effect, following a data breach involving user conversations and payment information. Will other countries follow suit? Prompt engineering - a job, a function, or a skill? Paul recently wrote about one possible future he’s seeing for prompt engineering on LinkedIn, saying: “How soon until we have a Prompt Copilot that helps users write far more effective and optimized generative AI prompts? Think of it as a prompting assistant that improves and expands your prompts as you type them.” He also talked about how the quality of human user prompts is crucial for the effectiveness and value of generative AI software—and that companies are motivated to reduce the friction in their products and speed up time to value for all users. The development of a prompting assistant that helps users write more effective and optimized prompts using AI seems like an obvious and achievable innovation to solve this problem and could render prompting as a career path or human skill less important beyond 2023. Will it become a must-know in any career path? BloombergGPT is announced Bloomberg has announced the development of a new large-scale generative AI model specifically trained on a wide range of financial data to support natural language processing tasks within the financial industry. The model, called BloombergGPT, represents the first step in the development of a domain-specific model to tackle the complexity and unique terminology of the financial domain. The new model will enable Bloomberg to improve existing financial NLP tasks such as sentiment analysis, named entity recognition, news classification, and question answering while bringing the full potential of AI to the financial domain. On top of this, Seth Godin and David Sacks are using ChatGPT. What’s next? Rapid-fire topics include the All-In podcast, a Redditor loses his love of his career because of AI, Replit teams up with Google Cloud, Sam Altman chats with Lex Fridman, Sam Altman launches Worldcoin, and more. Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

GPT-4 is changing the game. Access is easier, outputs are better, and technologies connecting to it are increasing exponentially with the help of a new plugin system. What will the rest of this week bring us? OpenAI launches a plugin system for ChatGPT OpenAI just announced a plugin system for ChatGPT, enabling it to interact with the wider world through the internet. The plugins, developed by companies like Expedia, Instacart, and Slack, will allow users to perform a variety of tasks using these sites from right within ChatGPT. It’s not just companies wanting to embed AI into their sites. OpenAI itself is hosting three of the plugins: one that gives ChatGPT access to up-to-date information on the internet, a Python code interpreter, and a retrieval plugin that allows users to ask questions of documents, files, notes, emails, and public documentation. Of particular note, one of the plugins available integrates with Zapier, which itself integrates with thousands of other tools. Right now, there’s a waitlist to access the plugins for developers and ChatGPT Plus users. Did we just open a whole new world of AI use cases? Artificial General Intelligence…one step closer "OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity.” We read this in episode 36 of The Marketing AI Show, just over a month ago. Now, OpenAI is saying, "Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity." A team of Microsoft AI scientists claims that GPT-4, the latest iteration of OpenAI's Large Language Model, exhibits "sparks" of human-level intelligence, or artificial general intelligence (AGI). The researchers argue that GPT-4's impressive performance in a wide range of tasks, such as mathematics, coding, and even legal exams, indicates its potential as an early version of an AGI system. While some argue that AGI is a pipe dream, others believe that it could usher in a new era for humanity, and this research indicates GPT-4 might just be leading the way. Are these thoughts and findings legit? How seriously should we take it? It only took 30 minutes to market a product launch Imagine leveraging the power of AI to complete a massive business project in just 30 minutes, accomplishing tasks that would take humans hours or even days. In a remarkable experiment from Wharton professor Ethan Mollick, a combination of AI tools was used to market the launch of an educational game, conduct market research, create an email campaign, design a website, and craft a social media campaign, among other tasks—in just 30 minutes. The results demonstrated the unprecedented potential of AI as a multiplier of human effort, with vast implications for the future of work, productivity, and creativity. Over the course of half an hour, Mollick used no more than 20 inputs, actions, or prompts to generate 9,200 words of content, a working HTML/CSS file, 12 images, a voice file, and a movie file across a marketing positioning document, email campaign, website, logo, script and video, and social campaigns. As he put it “AI would do all the work, I would just offer directions.” Is this the new normal for marketers? Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

In what may have been the biggest week in marketing AI (to date), we have a lot to review in this week’s podcast, so let’s jump right in. GPT-4 is released to the public The week started with the much-anticipated release of GPT-4, the latest, most powerful version of OpenAI’s large language model. And it’s now is being integrated into existing products via API, as well as ChatGPT. According to OpenAI, “GPT-4 can solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem-solving abilities.” OpenAI says that GPT-4 surpasses ChatGPT in its reasoning capabilities. In fact, the new model was tested on the Uniform Bar Exam, where it scored in the 90th percentile compared to ChatGPT’s 10th percentile score. GPT-4 will be able to accept images as input;. OpenAI demoed one jaw-dropping example of the model being able to generate code for a webpage based on a hand-drawn sketch of what the webpage should look like. Has OpenAI veered too far away from its non-profit roots? Is a company with “open” in the name being as forthcoming as they should be? Paul and Mike discuss. Microsoft and Google embed AI in their core products Google just announced that developers will now have access to its PaLM API, which gives them the ability to build on top of Google’s language models in Google Cloud. The company also announced generative AI features coming to Google Workspace, the firm’s productivity suite. That means you’ll soon see generative AI features in Gmail and Docs that draft copy on any given topic for you. At the same time, Microsoft announced Microsoft 365 Copilot, an AI tool that is “your copilot for work.” According to the company, Copilot combines the power of large language models with your data in the Microsoft Graph and Microsoft 365 apps to increase productivity. That happens in two ways, says Microsoft. First, Copilot works alongside you in popular apps like PowerPoint, Word, and Outlook to increase productivity. For instance, in Word, it can now generate drafts for you. In PowerPoint, you can use natural language prompts to create presentations. Copilot also enables a new feature called “Business Chat” that surfaces insights from data across your company and makes performing tasks easier. Our team watched the launch demo, and some instant applications came to mind. The U.S. Copyright Office is getting involved…so make sure you’re not breaking any laws. Warning: If you’re using generative AI tools to create content—articles, blog posts, books, images, software, songs, videos, etc—you do not own that content, according to the U.S. Copyright Office. That means anyone can reproduce it without your permission, create derivative works from it, display it, perform it, and sell it. On Mar 16, 2023, the Copyright Office launched an initiative to examine the copyright law and policy issues raised by AI, including the scope of copyright in works generated using AI tools and the use of copyrighted materials in AI training. “This initiative is in direct response to the recent striking advances in generative AI technologies and their rapidly growing use by individuals and businesses. The Copyright Office has received requests from Congress and members of the public, including creators and AI users, to examine the issues raised for copyright, and it is already receiving applications for registration of works including AI-generated content.” The Office also issued updated registration guidance that has an immediate effect on your ability to protect your original works. Paul and Mike discuss ways to use AI-powered technologies that are legal, and what tech companies need to address with their tools. Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

The Marketing AI Show is back! The smart CRM market is evolving…and so are marketers and businesses with the help of AI. First comes ChatSpot, then comes Salesforce Einstein GPT Coming on the heels of HubSpot’s ChatSpot announcement, Salesforce just announced Einstein GPT, a generative AI tool for its market-leading CRM. The tool, which is currently in closed pilot, creates content across marketing, sales, and service use cases. Salesforce’s communications say, “Einstein GPT will infuse Salesforce’s proprietary AI models with generative AI technology from an ecosystem of partners and real-time data from the Salesforce Data Cloud, which ingests, harmonizes, and unifies all of a company’s customer data.” They say Einstein GPT can generate personalized emails, generate specific responses for customer service teams, generate targeted content, and auto-generate code for developers. In the same breath, the company also announced a $250 million Generative AI fund through its venture arm. The value (or lack thereof) gained by AI is dependent on three factors. Paul recently published a post on an AI topic framing his idea of “the law of uneven AI distribution.” In it, he wrote: “The Law: The value you gain from AI, and how quickly and consistently that value is realized, is directly proportional to your understanding of, access to, and acceptance of the technology.” This uneven distribution will create dramatic differences in people’s experiences with and perceptions of AI. And it’s all dependent on three factors: how well you understand AI, the level of access you have to AI, and how much you accept the radical changes that AI will bring about in business and society. Do we need to fill the time saved by AI with more…work? When we talk about AI, we often hear that the wondrous productivity gains produced by AI technology will give us back more time, in turn making our lives less busy and more fulfilling. And these productivity gains are valuable. Venture fund ARK Invest predicts that we could boost the productivity of the average knowledge worker by 140% with AI, which would create $56 trillion in value globally. But a new article from the Centre for International Governance Innovation challenges the idea that AI will liberate our time and goes so far as to call the AI productivity narrative “a lie.” However, history has shown that efficiencies often heighten expectations and standards. How can we as marketers, business leaders, and humans, ensure we aren’t exacerbating Parkinson’s law by adding to the idea that “work expands so as to fill the time available for its completion?” How can we invest that time in things we want to do? This is a topic we all need to listen to!

This week’s episode of The Marketing AI Show touches on generative AI, and you guessed it, ChatGPT. But it’s not more of the same. APIs and HubSpot take ChatGPT to the next level. Tune in! ChatSpot…the latest in ChatGPT The week is starting off with a big development. Just yesterday, Monday, March 6, HubSpot co-founder and CTO Dharmesh Shah released ChatSpot, an AI tool that combines the power of ChatGPT, image generation AI, and HubSpot’s CRM. The tool lets you ask questions of your HubSpot portal and provide instructions in natural language through a chat interface. For example, you can use ChatSpot to give you a summary of data in your portal, create a report of companies added last quarter summarized by country, or generate an image of an orange rocket ship. Mike and Paul break down this latest development and what it means for HubSpot customers and agencies. The biggest winners generative AI tech stack…so far Legendary venture capital firm Andreessen Horowitz published a deep dive into the generative AI market: “Who Owns the Generative AI Platform?” To create this, the firm met with dozens of startup founders and operators who deal directly with generative AI to better understand where the value in this market will accrue. Andreessen breaks down the generative AI tech stack into three main categories: Infrastructure - the cloud platforms and chips used to train models Models - the foundational models like GPT-3 that power generative AI tools Apps - the actual products like Jasper that customers use Andreessen observed that infrastructure vendors are likely the biggest winners in this market so far, capturing the majority of dollars flowing through the stack. Application companies are growing topline revenues very quickly but often struggle with retention, product differentiation, and gross margins. And most model providers, though responsible for the very existence of this market, haven’t yet achieved a large commercial scale. Bottom line: the companies creating the most value — i.e. training generative AI models and applying them in new apps — haven’t captured most of it. APIs are available for ChatGPT and Whisper We knew it would happen soon: developers can now integrate ChatGPT and Whisper, OpenAI’s human-level speech recognition system, into apps and products through the company’s API. Since December, OpenAI says it has reduced the cost of ChatGPT by 90%—savings that API users will now receive when they use it, making it much easier and cheaper for companies to incorporate the capabilities of ChatGPT and Whisper into their businesses. However, this doesn’t just mean every business can have its own instance of ChatGPT. It means they can use these capabilities to build innovative new products. And tech and e-commerce companies are here for it. Already, Snap, the creator of Snapchat, introduced My AI, a customizable on-platform chatbot that is built on the ChatGPT API. Instacart is using the ChatGPT API to pair ChatGPT with its own data so that customers can ask open-ended natural language questions. And Speak is an AI language learning app and the fastest-growing English app in South Korea. They’re using the Whisper API to power an AI-speaking companion product. It’s impressive to see the API in action. These advancements and developments—happening at lightning speed—have an immediate impact on the marketing world. Paul and Mike help us uncover new opportunities and possibilities. Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

This week’s episode of The Marketing AI Show brings out some strong opinions from Paul and Mike. The common thread in the three stories covered? Humans. OpenAI drops a big announcement planning for AGI. OpenAI, the creator of ChatGPT, just published a bombshell article titled “Planning for AGI and Beyond,” AI systems that are smarter than humans at many different tasks. OpenAI says that AGI “has the potential to give everyone incredible new capabilities; we can imagine a world where all of us have access to help with almost any cognitive task, providing a great force multiplier for human ingenuity and creativity.” But it also notes the serious risks of misusing such a hyper-intelligent system. Because of this, OpenAI outlines short- and long-term principles to “carefully steward AGI into existence.” AI-generated content will lead to more human content. Paul recently posted on LinkedIn about the “rise of more human content,” and it’s gotten some attention. In the post, he outlines one possible future for content in the age of AI-generated content, saying “As AI-generated content floods the web, I believe we will see authentic human content take on far greater meaning and value for individuals and brands.” Readers had some things to say, including Alvaro Melendez, who said, “I totally agree I think we will see a rise in relevance and appreciation of artisan content. Human-crafted stories will gain in value.” Paul and Mike discuss their thoughts and observations. See the show notes below for a link to Paul’s post. Get-rich-quick schemes are on the rise as ChatGPT takes center stage. Internet scammers are now selling get-rich-quick advice on how to use ChatGPT to churn out content that makes money. In one noted example, the editors of Clarkesworld, a popular science fiction and fantasy magazine that accepts short story submissions, recently estimated that 500 out of 1,200 submissions received in February were AI-generated by tools like ChatGPT. The problem got so bad, the magazine had to suspend submissions. And Clarkesworld is not alone. This trend is impacting far more than fiction. Similar advice on how to make a quick buck generating content across book publishing, e-commerce, and YouTube is prevalent. In fact, there are already 200+ books on Amazon that now list ChatGPT as an author or co-author. Paul and Mike have a lot to say on this topic! Plus, stick around for the rapid-fire questions at the end, covering Bain x OpenAI, and Meta AI’s LLaMA release.

Paul and Mike are back together for a new episode of The Marketing AI Show. As technologies fast-track some rollouts, it’s clear that it might be time to slow down, and this includes ChatGPT better explaining its value. Then the guys discuss “World of Bits” and what this means for marketers and the business world. Microsoft’s Bing chatbot is not ready for primetime. A recent interaction between New York Times technology reporter, Kevin Roose, and a chatbot developed by MIcrosoft for its Bing search engine went a bit awry. Suffice it to say, it turned into bizarre and unsettling human/machine interaction. During a two-hour conversation, the chatbot told Roose unsettling things like that it could hack into computer systems and also suggested Roose leave his wife. Roose concluded that the AI wasn’t ready for primetime, and Microsoft is now doing damage control. ChatGPT vows to better educate the public. For marketers who have taken time to understand ChatGPT, you have seen some degree of value in the tool. For your average consumer, many are confused or generally scared by the idea of what AI could do. Because of this and a myriad reasons, OpenAI recently published a blog post that addresses some of the known issues with ChatGPT’s behavior. It also provides some education on how ChatGPT is pre-trained, and how it is continuously fine-tuned by humans. Open AI is working hard to improve ChatGPT’s default behavior by better addressing biases in the tool’s responses, defining the AI’s values within broad bounds, and making an effort to incorporate more public input on how the system’s rules work. “World of Bits” has transformative implications on marketing and business. Paul wrote a blog post over the weekend about a powerful concept called “World of Bits,” saying that it could transform marketing and business. In the post, Paul said, “Based on a collection of public AI research papers related to a concept called World of Bits (WoB), and in light of recent events and milestones in the AI industry, including legendary AI researcher Andrej Karpathy announcing his return to OpenAI, it appears that the capabilities for AI systems to use a keyboard and mouse are being developed in major AI research labs right now.” The outcomes? If AI develops these abilities at scale, the UX of every SaaS company will have to be re-imagined, and it will have profound impacts on productivity, the economy, and human labor. It’s a great and thought-provoking way to end this week’s podcast. Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

This week on The Marketing AI Show, Paul takes the show on the road—to San Francisco for Jasper’s GenAI Conference—while Mike is here in Cleveland. The big news is Bard, Bing, and a $6 Billion valuation. Suddenly, it’s ChatGPT against the world. Google responds to ChatGPT with its conversational AI tool, Bard. Google just announced an experimental conversational AI tool named Bard. Bard uses Google’s LaMDA language model to provide natural language answers to search queries. Think of it like ChatGPT, but backed by all the knowledge and information that Google’s search engine has cataloged over the last couple of decades. The announcement of Bard—a response to OpenAI and ChatGPT—prompted some critics to say the rollout was rushed, while others said they moved too slowly after ChatGPT took center stage in December and January. If you missed it, the demo didn’t quite go as planned. OpenAI gives Bing a new lease on life. Microsoft’s Bing is getting more attention now than its previous 14 years combined. The latest version of the search engine is powered by OpenAI, complete with ChatGPT-like conversational capabilities. Bing can now respond to searches and queries in natural language, like ChatGPT, and use up-to-date information, like Google’s Bard release. Kevin Roose, technology writer at the New York Times, took the new capabilities for a test drive and was impressed. Will Bing and OpenAI make Edge, Microsoft’s browser, interesting for customers? Cohere answers the call for ChatGPT for the enterprise. Major AI startup, Cohere, is in talks to raise money at a $6 billion valuation and bring ChatGPT-like capabilities to businesses. Established in 2019 by former researchers at Alphabet/Google, Cohere is a big player in the world of AI. The foundational language AI technology allows businesses to incorporate large language models into their work. The group is now in talks to raise hundreds of millions at a $6 billion valuation, reports Reuters, as the AI arms race heats up. Cohere is no stranger to the VC world, having already raised $170 million from venture capital funds and AI leaders like Geoff Hinton and Fei-Fei Li. The appeal is the company’s focus on building for the enterprise, with an emphasis on real-world applications for their technology. Listen to this week’s episode on your favorite podcast player, and be sure to explore the links below for more thoughts and perspectives on these important topics.

This week on The Marketing AI Show, the guys discuss responsible AI, do a deeper dive into Meta’s CICERO (after a short discussion in Ep. 25 of the podcast), and the job posting Mike came across for an AI Marketing Specialist. Is this the first? A manifesto for responsible AI—for companies to use for themselves Last week on the Marketing AI Institute blog, you may have seen our Responsible AI Manifesto for Marketing and Business. In it, Paul lays out the 12 principles that we’re using to guide us in the responsible use of AI within our organization. From this blog post and Paul’s subsequent LinkedIn post, we received feedback, comments, and some praise on taking this step. Much of the feedback asked if we had considered a certain principle, or questioned one of the bullet points in the article. On the podcast, Paul and Mike walk through each principle and break down their thoughts and how businesses and marketing leaders can use this document to create a manifesto of their own. What is CICERO…and what are the implications? In November 2022, Meta AI introduced CICERO, the first AI to play at a human level in Diplomacy, a strategy game that requires building trust, negotiating, and cooperating with multiple players…essentially trying to make it fundamentally honest and collaborative. Is there a place for CICERO in business and life? Will AI assistants be able to help us negotiate and navigate through life? Many of these questions touch on conversations Paul has had, and posts he’s shared: there’s a much bigger story to these AI developments, and the implications for business and society are huge. The first (that we’ve seen) AI marketing job listing Tomorrow.io’s CMO Dan Slagen shared his company’s most recent job posting for an AI Marketing Specialist. The good news is that this is a junior role, and years of experience aren’t needed. It’s interesting and exciting that one function of this role will be to stay up to date on the latest AI developments and learn to pilot and scale AI programs as they learn. What a great way for businesses to stay ahead of the AI curve and bring on interested, enthusiastic talent. This podcast episode ends with rapid-fire questions talking about Big Tech’s Q1 earnings calls, updates on Microsoft and Bing, ChatGPT breaking records, and Runway Gen-1’s big announcement. Listen to this week’s episode on your favorite podcast player and be sure to explore the links below for more thoughts and perspective on these important topics.

This week on The Marketing AI Show, all three topics focus on AI and writing. This mega-episode brings to the surface many of the questions we’re hearing from our community. AI writing tools are rapidly transforming the art and science of storytelling, and in the process, they're disrupting writing as we know it. Everyone at every size company now has access to powerful and affordable AI technologies that are redefining writing and forcing companies to reimagine content teams and strategies to remain competitive. We can already 10X our content output, like ads, articles, blog posts, emails, and more, with today’s AI—and it’s growing more powerful by the day. This has created massive uncertainty for writers, brands, agencies, and media companies. And it’s made it essential that writers, editors, and content leaders take action to understand and apply AI. Today’s podcast episode is a mega-episode on AI writing and the impact it will have on writers and writing as we know it. Funding is flooding the space, and we’re already seeing media businesses incorporate AI writing into their business models—with mixed results. But these businesses are moving forward anyway. It’s important for marketing and business leaders to remember that a tool like ChatGPT is just the tip of the AI iceberg for marketers and business leaders. It's the shiny object that's captured everyone's attention, and rightly so. So what is the future of AI and writing? The second topic on AI and writing touches on AI writing tools. These tools can enable all sorts of highly valuable use cases across writing functions. Used intelligently, these tools can dramatically improve your productivity and performance as a writer. On the other hand, they also have plenty of limitations that any writer using these tools must be able to identify if they want to succeed at AI-powered writing. How should these tools be used by individuals and brands? We believe that understanding the very real issues raised by this technology is key to adopting it in a responsible way. And finally, how will AI change writing careers? AI is going to have a major impact on the careers and skills of writers and content professionals. These more intelligent tools are already opening up new frontiers of creativity, productivity, and writing at scale for savvy professionals. But they’re also changing the nature of writing work and business models, and writers and companies will need to adapt accordingly. Mike and Paul invest these 45 minutes in helping listeners understand what these new developments mean, providing context on what marketers and business leaders can do, need to consider, and how to adapt. Listen to this week’s episode on your favorite podcast player and be sure to explore the links below for more thoughts and perspective on these important topics.

This week in AI news, we talk about education, an AI arms race, and a very dark side of AI training. First up, A 22-year-old has created an app that claims to detect text generated by ChatGPT. The tool is called GPTZero, and it was created by Edward Tian, a senior at Princeton University, to combat the misuse of AI technology. Tian believes AI is at an inflection point and has the potential to be "incredible" but also "terrifying." The app works by looking at two variables in a text: “perplexity” and “burstiness,” and it assigns each variable a score. First, the app measures its familiarity with the text presented, given what it has seen during training. The less familiar it is, then, the higher the text's perplexity is, meaning it's more likely to be human-written, according to Tian. It then measures burstiness by scanning the text to see how variable it is; if it varies a lot, it's likely to be human-written. Tian's app aims to incentivize originality in human writing and prevent the "Hallmarkization of everything" where all written communication becomes formulaic and wit. Paul and Mike discuss what this means, ethical issues, and opportunities and challenges for this tool. Next up, this week, Google staked its position in the AI arms race by announcing its commitment to dozens of new advancements in 2023. The New York Times reported that Google’s founders, Larry Page and Sergey Brin, were called in to refine the company’s AI strategy in response to threats like ChatGPT and major players like Microsoft, who just formally announced its multi-billion-dollar partnership with OpenAI. According to the Times, Google now intends to launch more than 20 new AI-powered products and demonstrate a version of its search engine with chatbot features this year. And finally, a new investigative report reveals the dark side of training AI models. A recent investigation by Time found that OpenAI used outsourced Kenyan laborers earning less than $2 per hour to make ChatGPT less toxic. That included having workers review and label large amounts of disturbing text, including violent, sexist, and racist remarks, to teach the platform what constituted unsafe outputs. Some workers reported serious mental trauma resulting from the work, which was eventually suspended by OpenAI and Sama, the outsourcing company involved, due to the damage to workers and the negative press. As Paul put it in a recent LinkedIn post, this raises larger questions about how AI is trained: “There are people, often in faraway places, whose livelihoods depend on them exploring the darkest sides of humanity every day. Their jobs are to read, review and watch content no one should have to see.”

Generative AI has so many benefits for marketers. But with the rapid pace of adoption—often with little to no oversight–-issues are quickly arising. From educational concerns to legal ramifications, Paul and Mike discuss this on this week’s Marketing AI Show podcast episode. Also, stick around for an update on the developments between OpenAI and Microsoft. First up, higher education has been rocked by ChatGPT. Professors and educators need to rethink assignments when it comes to essay writing, take-home tests might become a thing of the past, oral exams will be on the rise, and identifying plagiarism has a new twist. Schools are banning the use of ChatGPT in assignments, but how can they truly know how the assignment was completed? And should educators teach students how AI can augment their learning? One student has created a tool to identify content generated by ChatGPT, but is that really the solution? Next, generative AI is having some legal troubles. Stability AI has received formal notification of impending litigation. Intellectual property, derivative works, and copyright violations are all discussion points as these technologies advance and learn. As the line isn’t clear, and precedent has not been established, the court cases will continue to mount. GitHub and Midjourney are in the thick of this as well. Once fast to market, Reuters reported that Sam Altman says OpenAI’s GPT-4 will launch only when they can do it safely & responsibly. “In general we are going to release technology much more slowly than people would like. We’re going to sit on it for much longer…” That’s a good thing, but is it too late? Finally, last week in episode 29, we discussed Microsoft and OpenAI. On Microsoft Azure’s website, they announce, “Today, we are excited to announce the general availability of Azure OpenAI Service as part of Microsoft’s continued commitment to democratizing AI, and ongoing partnership with OpenAI.” As part of this, DALL-E 2 and ChatGPT can be integrated into their clients’ cloud apps. Developers are currently required to apply for access, and have to describe their intended use cases and applications before they can get access. Catch up on the latest news and think about these developments and what it means to you and your business.. Listen to the podcast below or in your favorite podcast player.

It’s been another exciting week in the world of artificial intelligence. What does it mean for marketers? The guys break it down on The Marketing AI Show. First up, Paul and Mike have hypothesized about this, and now the speculation has come true. According to a scoop from The Information, Microsoft plans to incorporate OpenAI’s ChatGPT into its Bing search engine. Today, Google handles more than 80% of search traffic. In comparison, Bing processed about 9% of worldwide searches in 2022. Rumor has it Microsoft is making a major play into using ChatGPT-like AI answers in search. Not to mention, this could open the door to using ChatGPT in Word and other Office products. Just days after the scoop, Semafor reported that Microsoft has been in talks to invest up to $10 billion in OpenAI. The funding would eventually give Microsoft a 49% stake in the company, valuing it at $29 billion total. Next, Microsoft just announced a major milestone development in voice AI. The company revealed an AI model called VALL-E that can synthesize anyone’s voice using just 3 seconds of audio. Microsoft shared some audio samples, and simply put, Mike Kaput said they are “pretty stunning.” Based on just a few seconds of a person saying a random sentence, VALL-E can create completely new speech from scratch in their exact voice. The implications of hyper-realistic voice AI technology are widespread and mind-blowing. Finally, Paul’s recent LinkedIn post on AI disrupting marketing agencies got a lot of attention. In it, Paul said, “Artificial intelligence is going to disrupt a lot of marketing agencies in 2023. Some will seize the opportunity and create enormous value for themselves and their clients, while many will be obsoleted. These laggards won’t all die off overnight, but their relevance and value will quickly fade, and their clients (and people) will move on.” Hear Paul’s motivation for writing the post and the conversation that ensues. As advancements become more prevalent, conversations have become more important for marketers and business leaders. Tune in to see how you can act on these developments. Listen to the podcast below or in your favorite podcast player.

At Marketing AI Institute, we are seeing strong quantitative and qualitative evidence that indicates we are at an AI inflection point, where the technology begins to go fully mainstream in 2023—with profound effects on…well…everything. For years, we have hypothesized that AI has the power to change just about everything in marketing, business, the economy, and society at large. In 2022, we saw that hypothesis confirmed thanks to an explosion of AI capabilities and technologies driven by the stunning power of generative AI tools like ChatGPT. In a matter of months, even the brightest minds in AI have been surprised by how quickly and effectively AI tools have reshaped what we thought possible in marketing and business. We’re going to devote today’s episode to outlining why we think we’re about to enter a golden age of AI progress that will reshape the work of every professional in every industry.

Mike and Paul are back for another episode of The Marketing AI Show. Paul ran a head-to-head test of AI writing tools and posted about it on Twitter and LinkedIn. On both platforms, the posts gained traction and good feedback from our community and from technology companies. In the experiment, Paul ran the same three prompts/use cases through a handful of different tools. The tools were OpenAI’s ChatGPT and their Playground functionality; Cohere; Jasper; Writer; and HyperWrite. It’s an interesting case study showing AI in action. Next up, we’ve all seen plenty of examples online, many impressive, of what ChatGPT can do. In addition to writing text, ChatGPT is generating outlines, doing research, answering complex questions, and surfacing information. This has led to some serious online conversations asking the following question: Will ChatGPT replace Google search? Today, plenty of ChatGPT’s responses are inaccurate and don’t contain citations, but some people are already imagining a future where we no longer use a Google search to find information. The third topic of this week’s podcast is MyHeritage. MyHeritage is a discovery platform that helps you find people related to you. The company just released a free tool called AI Time Machine. You upload photos of yourself, then the AI creates hyper-realistic avatars of you in different historical time periods, from prehistoric times to Ancient Egypt to modern times. It’s a timely twist on hyper-popular photo apps like Lensa that are getting a lot of buzz.

Paul and Mike discuss three hot topics in the world of marketing and artificial intelligence: An app called Lensa AI is taking the world by storm—and creating a lot of controversy as it does. Lensa allows you to upload photos of yourself, about 10-20 selfies, then it uses AI to generate dozens of avatar photos of you in many different styles, from serious and realistic to fantastical. The app has been generating $1 million or more in revenue per day as everyone and anyone can now create images of themselves using AI. But controversy ensues. For five years now, McKinsey has been conducting its Global Survey on AI by surveying thousands of business leaders on how they use artificial intelligence. This year’s findings are now out in McKinsey’s State of AI in 2022. There’s a ton to unpack, so check out the show notes for the link. But three big points jumped out at me. The third topic stems from Paul Roetzer's LinkedIn post and a Twitter thread that are getting a lot of attention. In both of them, Paul outlined why anyone who runs or invests in a software company needs to have a concrete plan for considering how AI will enhance and disrupt the business. Specifically, Paul mentions that “If I was running a software company right now, I would be aggressively exploring how recent advancements in AI (and the ones that are coming in 2023) could disrupt the business.” Tune in!

Paul and Mike are back on The Marketing AI Show covering this week's top stories in AI, marketing, and business. This week, ChatGPT takes center stage, but there are also some other developments worth mentioning. On November 30, OpenAI launched ChatGPT, a chatbot that anyone can converse with by typing in text prompts. All you have to do is type in a question or a command, and ChatGPT produces a response. Now, this sounds simple, but everyone in the AI world is positively stunned by the result. That’s because, as Kevin Roose at the New York Times puts it, “ChatGPT is, quite simply, the best artificial intelligence chatbot ever released to the general public.” Our team tested it out, and we share our results. ChatGPT isn’t just a big deal for marketing. Some commentators have started to connect the dots about what ChatGPT means for business as a whole, the economy, and society. We also discuss Meta's CICERO, the Lensa app, Runway's funding, DeepNash, Character.ai, and more.

While our Institute focuses on AI in the marketing world, some of the biggest companies in the world are finding AI applications for the business world and our personal lives. Artificial intelligence will be, and already is, embedded in our world. What are the big players working on? Mike and Paul discuss this on this week’s podcast. This episode kicks off discussing consulting firm Deloitte, who recently published a rundown of how AI for work relationships could be the next big thing in your office. Deloitte says that AI can “analyze human interactions during and after an event to generate personalized, confidential recommendations at an individual and organizational level to help improve human interactions at work.” They give a hypothetical example to illustrate the point: Imagine a near-future workplace where AI recommends how you should write a diplomatic email to two leaders pulling you into a nasty turf war. In this scenario, AI could recommend appropriate language and courses of action to resolve the dispute. It’s an interesting discussion on the opportunities and challenges, including the five areas Deloitte feels AI will have a big impact on work relationships. Next, OpenAI, the creators of GPT-3 and DALL-E 2, just launched a program to fund and support founders creating transformative AI companies. The program is called Converge. According to the company, it is a “highly-selective, five-week program for exceptional engineers, designers, researchers, and product builders using AI to reimagine products and industries.” Participants receive a $1 million equity investment from OpenAI’s Startup Fund. They also get early access to OpenAI models and programming tailored to AI companies. In addition, they get workshops, office hours, and events with AI practitioners. OpenAI says it’s motivated by “the belief that powerful AI systems will spark a Cambrian explosion of new products, services, and applications.” Mike and Paul discuss why hungry entrepreneurs are critical to the success and adoption of AI. Lastly, this past week, Google revealed a handful of incredible AI projects that it’s been working on, and they provide a glimpse of the near future of AI. These reveals break down into two broad categories: AI for social good and generative AI. On the social good front, Google revealed ideas such as AI for wildlife tracking, AI for flood forecasting, an AI-powered maternal health app, and an AI model that speaks the world’s 1,000 most-spoken languages. On the generative AI side, Google revealed self-coding robots, where robots can autonomously generate new code. Mike goes through a cool example, and they discuss the implications of these new projects. Listen to this great conversation with our team, and stick around for the end of the podcast for the rapid-fire discussion at the end!

This week Paul and Mike talk about three news stories and happenings in the world of artificial intelligence, and they break down their importance to marketers. In a word (or two): buckle up. Well-known marketer Neil Patel recently revealed the results of Google’s latest algorithm updates on sites he owns that have AI-generated copy—and the results weren’t pretty. Patel disclosed that he has “100 experimental sites that use AI-written content.” He claims the sites are simply to figure out how Google perceives AI-written content, not to “game” the algorithm. Regardless of the motivation, he sure found out. Next, Boston Consulting Group, BCG, recently released its guidelines for how companies should approach AI based on its Responsible AI Leader Blueprint. BCG defines responsible AI as “developing and operating artificial intelligence systems that align with organizational values and widely accepted standards of right and wrong while achieving transformative business impact. And finally, earlier this year, the Partnership on AI did work on better understanding how AI will change the local news landscape by talking to 9 different experts in the space, including prominent media outlets and technologists. The Partnership on AI is a major nonprofit that was founded by Amazon, Facebook, Google, DeepMind, Microsoft, and IBM to research and share best practices around the development and deployment of artificial intelligence. Listen to the conversation.

Paul and Mike return, discussing three more hot topics in the world of artificial intelligence. Adobe, along with many other innovators, has been experimenting with Generative AI. It is a transformational technology, one that will accelerate the ways artists brainstorm and explore creative avenues — and make creativity accessible to millions more people. At the same time, like many new technologies, Generative AI has raised valid concerns. Among the questions: How is the work of creative people being used to train AI models? And how will we know whether something we see was created by a human or a computer? Next, New York City-based CALA, a startup that bills itself as the “world’s first operating system for fashion,” offers a digital platform (including a mobile app launched in March) that allows creators to design and produce clothing lines, unifying the process from product ideation through order fulfillment. With the addition of DALL-E-powered text-to-image generating tools, users can generate new visual design ideas from natural text descriptions or uploaded reference images – which the company says are first-of-its-kind capabilities for the fashion industry. And finally, Sequoia Capital just signaled that they’re all-in on generative AI. Sequoia is one of the best-known venture capital firms on the planet, with decades of experience investing in some of tech’s biggest names like Apple, Google, Instagram, LinkedIn, and PayPal. Recently, Sequoia published a post called “Generative AI: A Creative New World,” where they laid out their position on generative AI tools like Jasper, DALL-E 2, Stable Diffusion, and others taking the world by storm. Listen to the conversation.

It was a busy week in the world of artificial intelligence! Mike and Paul are back on The Marketing AI Show to discuss three AI hot topics in the news. They’ll add their take on these developments and what it means for marketers and business leaders—and perhaps with an idea or two on how the Marketing AI Institute could support you. Gartner came out with a report identifying seven technology disruptions that will transform sales over the next five years. Gartner says sales leaders need to recognize, prioritize and respond to these disruptions: generative artificial intelligence (AI), digital twin of the customer, augmented reality/virtual reality (AR/VR), machine customers, digital humans, emotion AI, and multimodality. Next, It was a good week for generative AI funding. Stability AI, the world's first community-driven, open-source artificial intelligence (AI) company, raised $101 million in funding. Additionally, Jasper secured a $125 million series A funding round at a $1.5 billion valuation.

This week Paul and Mike talk about three AI stories in the news and add their take on these developments and what it means for marketers and business leaders. On October 4, the White House released what it calls an “AI Bill of Rights,” a document that offers a blueprint of “five principles that should guide the design, use, and deployment of automated systems.” It is not binding in any way, legally or otherwise. But they are an important initial effort by the US government to draw attention to the impact of artificial intelligence on our daily lives. In an exclusive interview with McKinsey released in late September, Dr. Kai-Fu Lee, a world-leading AI expert, investor, and author spoke with McKinsey about how business leaders can use AI in their operations and what it means to be a truly AI-driven company. Meta, the company formerly known as Facebook, just released Make-A-Video, an AI system that turns text prompts into machine-generated video clips. This means you can type in a prompt, like “a horse drinking water,” and Make-A-Video will understand the prompt and create a video clip of it in a specific style. This type of generative AI does for video what a tool like DALL-E 2 does for images: it creates unique visuals from a simple text prompt in seconds. The tool isn’t yet publicly available like DALL-E 2 but has major implications for businesses and creators.

This is a special, book-launch edition for Marketing Artificial Intelligence: AI, Marketing and the Future of Business, which is available starting June 28, 2022, in audio, digital, and print. Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage...and discuss it on this week's podcast. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity.

In a survey by IBM, 3,000 CEOs said technological factors were the number one concern for their enterprises over the next two to three years. As a result, 60% say they’re accelerating digital transformation efforts. This should be good news for CMOs. According to research from The CMO Council, the majority of the C-suite says the essential role of a CMO is to be a digital transformation leader. As companies go all-in on digital transformation driven from the top, CMOs should stand to benefit. But are CMOs prepared? In this week’s episode, Paul and Mike break down some key findings from our AI for CMOs report, discuss opportunities for CMOs and marketing leaders, and more.

AI has many use cases for the marketing world, and this week Paul Roetzer and Mike Kaput are talking about AI for advertising. From allocating ad budgets to optimization, ad versioning, targeting, copywriting, and more, AI can help advertisers and agencies more than many realize. This episode is the first in a series of AI use cases by marketing discipline, based on chapters of their new book, Marketing Artificial Intelligence: AI, Marketing, and the Future of Business. Paul and Mike talk about case studies including HOLT CAT, Vanguard, and more.

With each day that passes, and each advancement in artificial intelligence language and vision technology, it is becoming more apparent that there will be three types of businesses in every industry: AI Native, AI Emergent, and Obsolete. Paul Roetzer kept running through examples in his mind—retailers, ecommerce shops, marketing agencies, event businesses, media companies, law firms, medical practices, artists, writers, graphic designers, financial advisors, banks, insurance brokers and carriers, software makers, game and app developers, real estate brokers, consumer products makers, hotels, restaurants, manufacturers, distributors, educational institutions—and he couldn’t come up with an industry or business model where this won’t be true. That's the basis for this week's Marketing AI Show podcast. In this episode, Paul is in the hot seat, and our Chief Content Officer, Mike Kaput, interviews Paul about this topic and a recent article he posted about it.

In this week's episode, Paul and Mike sit down to talk about AI and how we use it at the Marketing AI Institute. With our annual Marketing AI Conference (MAICON) coming up in August, we're currently marketing the event and pushing registrations. But with so many folks in our database, how can we laser focus our efforts? We're using AI and technology to help us predict high priority contacts based on their probability to purchase (more intelligent)...so we can reach out to them with customized, personalized communications (more human). We get transparent about our internal processes and hope you can learn something from this as well.