Equity

Tech companies are racing to build data centers in space, pitching orbital compute as the next frontier for AI infrastructure, even as the technical and economic realities remain far from clear. Add in OpenAI’s massive $122 billion round and Bluesky’s latest AI backlash, and the message is clear: The future of AI is being shaped as much by ambition and hype as it is by real-world constraints. On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O’Kane unpack these massive capital bets, user backlash, and off-world compute plans along with Whoop’s major valuation and the literal downfall of robot Olaf. Listen to the full episode to hear about: OpenAI’s $122 billion fundraise and what its near-trillion-dollar valuation says about expectations for AI. Whoop’s $575 million raise and the shift toward “wearables 2.0” (and what happens to all that data). Bluesky’s AI-powered feed builder and why it triggered a major user backlash. The rise of data centers in space and whether they are financially or physically feasible. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:20 A humanoid Olaf robot collapses at Disneyland Paris 03:30 OpenAI raises $122B at an $852B valuation 11:30 Whoop lands $575M and bets big on wearable data 18:50 The risks (and value) of personal health data 23:00 Bluesky’s AI feed builder sparks backlash 30:00 Can Bluesky keep growing — and compete with X? 36:30 The race to build data centers in space 44:30 SpaceX, Starlink, and the business of orbital compute 49:30 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

The VC middleman is getting cut out faster than anyone expected. Family offices and private wealth firms are going direct: writing checks, taking board seats, even incubating companies from scratch. And more founders are starting to notice. In February alone, family offices made 41 direct investments, including one Midwest-based firm that led a $230 million Series B into an AI chip startup. On this episode of TechCrunch's Equity podcast, Rebecca Bellan caught up with Mitch Stein and Ari Schottenstein, founder and head of alternatives at ARENA Private Wealth, to find out what this shift means for founders, cap tables, and the future of AI investment. Listen to the full episode to hear: How Arena landed the lead on Positron's $230 million Series B, and why the CEO specifically wanted them on his cap table How Arena does due diligence on technical companies What "tourist capital" actually looks like, and the red flags founders should watch for as family offices flood into AI deals Why some VCs are quietly unhappy about this trend (and why Arena thinks that's their problem) Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 03:13 Why family offices are going direct now 06:03 The gen 2 & gen 3 family office shift 07:22 Is this strategic or just AI FOMO? 10:17 How Arena got into the Positron deal 14:30 Why founders want private wealth on their cap table 18:31 Due diligence on technical companies 21:56 Red flags founders should watch for 25:04 Are VCs threatened by this trend? 27:47 Taking board seats & level of involvement 34:17 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

When an 82-year-old Kentucky woman was offered $26 million from an AI company that wanted to build a data center on her land, she said no. Sure, that same company can try to rezone 2,000 acres nearby anyway, but as AI infrastructure stretches further into the real world, the real world is starting to push back. That tension is everywhere this week, from OpenAI shutting down its Sora app to courts finally starting to hold social platforms accountable. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what it looks like when the AI hype cycle meets reality. Listen to the full episode to hear about: Why rival prediction market CEOs of Kalshi and Polymarket are co-investing in a $35M VC fund How drone startups like Zipline, Lucid Bots, and Brinc are finding real traction where other robotics plays have stalled What Kleiner Perkins' $3.5B raise says about where the biggest VC firms think the next AI wave is going Why two separate court verdicts against Meta in the same week could be the “tobacco moment” for social media Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:30 Would you turn down $26M for your farm? 03:56 Rivals Kalshi & Polymarket CEOs are investing together 10:28 Deals for drones: Zipline, Brinc & Lucid Bots 18:17 Kleiner Perkins goes all-in on AI with $3.5B raise 22:52 OpenAI shuts down Sora 28:04 Meta gets hit with dual verdicts 34:56 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

Over the past few years, a new category of mobile apps has quietly exploded into a multi-billion dollar business. They're called “micro dramas” — short-form, mobile-first scripted shows designed to be watched vertically on your phone. Think soap opera meets TikTok, complete with secret billionaire romances, disapproving werewolf mothers-in-law, and cliffhangers engineered to keep users tapping. The leading app, ReelShort, made $1.2 billion in consumer spending last year alone. On this episode of TechCrunch's Equity podcast, Rebecca Bellan and TechCrunch senior reporter Amanda Silberling sit down with Henry Soong, founder of Watch Club, who thinks the micro drama industry is still "in its MySpace era." He has a vision for what the Facebook moment could look like. Listen to the full episode to hear: Why micro dramas took off in China while Quibi burned through $2 billion and failed in the U.S., and what that gap reveals about content, product, and business model. How Watch Club is targeting a completely different audience than ReelShort and Drama Box. The tension between building an intentional social experience and optimizing for engagement the way TikTok does. Whether AI is coming for the werewolf billionaire romance script. Amanda has thoughts. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 01:11 Why micro dramas, and why now? 04:25 What makes Watch Club different 07:29 The monetization model problem 18:52 Optimizing for intentionality, not engagement 24:23 Why Quibby failed (content, product & business model) 28:22 Defensibility: tech company or studio? 31:36 AI, the WGA, and the future of storytelling 33:44 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

Jensen Huang took the stage at Nvidia's GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 trillion in AI chip sales through 2027, declaring that every company needs an “OpenClaw strategy,” and closing with a rambling Olaf robot that had to get its mic cut. The message was hard to miss: Nvidia wants to be foundational to everything, from AI training to autonomous vehicles to Disney parks. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane break down what Nvidia's growing web of AI infrastructure partnerships actually means for startups, and more of the week's headlines. Listen to the full episode to hear about: Travis Kalanick’s return building a "wheelbase for robots" with his new startup Atoms, and the crew has questions about Kalanick’s acquisitions along the way Rivian’s partnership with Uber to build robotaxi versions of its R2 in a deal worth up to $1.25 billion, while pushing back its EBITDA target to do it Frore landing a $1.64 billion valuation for its AI chip cooling systems xAI rebooting, again, with only two of its original eleven co-founders still standing Garry Tan's Claude Code setup went viral at SXSW (Spoiler: the crew is not impressed). Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:20 Garry Tan's Claude Code setup goes viral at SXSW 03:37 Travis Kalanick is back with a new startup 12:51 Uber and Rivian's $1.25B RoboTaxi deal 20:54 Chip cooling startup Frore becomes a unicorn 22:56 Nvidia GTC recap: $1 trillion in sales projections 31:42 Elon Musk is rebooting xAI...again 36:37 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

Artificial intelligence models are multiplying fast, and competition is stiff. With so many players crowding the space, which one will be the best — and who decides that? Arena, formerly LM Arena, has emerged as the de facto public leaderboard for frontier LLMs, influencing funding, launches, and PR cycles. In just seven months, the startup went from a UC Berkeley PhD research project to being valued at $1.7 billion. On this episode of TechCrunch's Equity podcast, Rebecca Bellan catches up with Arena co-founders Anastasios Angelopoulos and Wei-Lin Chiang to determine how a team like theirs can build a neutral benchmark when the companies they’re ranking are also their backers. Listen to the full episode to hear: How Arena actually works, and why its founders say you can't game it the way you mighta static benchmark. What "structural neutrality" actually means, and whether taking money from OpenAI, Google, and Anthropic is a conflict of interest. How Arena is moving beyond chat to benchmark agents, coding, and real-world tasks with a new enterprise product. Why Claude is currently winning the expert leaderboard for legal and medical use cases. Arena's bet on what comes after LLMs, and why agents are next on the leaderboard. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 03:00 How Arena's leaderboard works, and why it's different from static benchmarks 07:00 Reproducibility concerns and how to scale 08:45 Can Arena stay independent while taking money from the labs it ranks? 11:15 Diversity, fraud prevention, and abuse mitigation 18:15 Arena's "data moat" 19:20 Agent benchmarking and expert leaderboards 21:40 Open sourcing data 22:45 How do Arena's rankings shape AI development? 24:15 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

According to Index Ventures Partner Shardul Shah, cybersecurity startup Wiz sits “at the center of three tailwinds: AI, cloud, and security spend.” Those tailwinds powered what just became the largest venture-backed acquisition in history — Google's $32 billion deal, finalized after a declined 2024 offer, antitrust review on both sides of the Atlantic, and an extra $9 billion to sweeten the pot. On this episode of TechCrunch's Equity podcast, Anthony Ha, Rebecca Bellan, and Sean O'Kane sit down with Shah to dig into what made Wiz worth that price tag, and also cover more of the week's headlines. Listen to the full episode to hear about: Why a DOGE employee allegedly walked out of the Social Security Administration with a thumb drive full of personal data, and the questions it raises about access to sensitive systems Taya and Sandbar, the latest startups betting voice is the next big AI interface — but do normal consumers agree? Palmer Luckey raising for a retro gaming startup at a $1 billion valuation Meta’s acquisition of Moltbook, the viral AI agent social network The latest in the Anthropic vs. DoD saga, including tech workers at OpenAI, Google, and Microsoft signing their names on a legal brief in support of Anthropic Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:16 Did a DOGE employee steal your SSN? 02:53 AI note-taking wearables are back: Taya & Sandbar 09:18 Palmer Lucky's retro gaming startup ModRetro 13:39 Meta acquires AI agent social network Moltbot 18:54 Inside Google's $32B Wiz acquisition with Shardul Shah 28:41 Anthropic's lawsuit against the DoD 38:40 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

For years, venture capitalists have been skeptical of beverage startups, citing thin margins and brutal distribution as reasons most brands never break out. But a new wave of “functional soda” companies has been challenging that assumption, including Poppi, the prebiotic soda brand that grew from a kitchen experiment into a $1.95 billion acquisition by PepsiCo. On this episode of TechCrunch’s Equity podcast, Rebecca Bellan is joined by Poppi co-founder Allison Ellsworth to talk about building a beverage startup in a venture world dominated by SaaS and AI. From pitching on Shark Tank while nine months pregnant to scaling a digital-first brand during COVID, and now returning as a Shark herself, Ellsworth shares how social media, fast marketing bets, and customer feedback helped turn a niche drink into a category-defining company. Listen to the full episode to hear about: Ellsworth’s Shark Tank return, and how she evaluates founders on the other side of the pitch. How Ellsworth turned a personal health issue into Poppi and built early traction at farmers' markets. Why TikTok and community-driven marketing helped the brand rack up billions of views and loyal fans. The risky decision to buy a last-minute Super Bowl ad, and how the team executed it in days. What it’s like selling a startup to PepsiCo while trying to preserve the brand’s identity. Why beverage startups almost inevitably need acquisition-level distribution to scale. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

The Pentagon has officially designated Anthropic a supply-chain risk after the two failed to agree on how much control the military should have over its AI models, including its use in autonomous weapons and mass domestic surveillance. As Anthropic’s $200 million contract fell apart, the DoD turned to OpenAI instead, which accepted and then watched ChatGPT uninstalls surge 295%. As the stakes keep rising, the question remains: how much unrestricted access should the military have to an AI model? On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what startups should think about when chasing federal contracts, especially when nobody seems to know what to do with AI in Washington, and more of the week's headlines. Listen to the full episode to hear more about: Paramount’s massive deal with Warner Bros, and the Equity crew’s ideas for what the new HBO Max-Paramount+ hybrid should be called MyFitnessPal's acquisition of Cal AI, the calorie-tracking app built by teenagers Who dropped $1 billion on Pinterest’s AI mission and how the company spent it on share buybacks. (Spoiler: Kirsten has thoughts.) Anduril is raising again at a reported $60 billion valuation Whether companies should brace themselves for the SaaSpocalypse, or if it’s just another chapter of the AI hype cycle Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Does a consumer hardware company need to get on the VC treadmill to succeed? Eleven years and 290 million products sold across 115 countries later, PopSockets has proven that the bootstrapped, low-dilution path more viable than the industry gives it credit for. The global consumer hardware brand was built on less than $500k, no institutional capital, and a philosophy professor's determination. On this episode of TechCrunch's Equity podcast, Dominic-Madori Davis caught up with founder and former CEO of PopSockets David Barnett to talk about how he scaled from a Boulder garage, stood up to Amazon at a $10–20 million cost, and eventually handed off the CEO role to someone who'd grown up inside the company. Listen to the full episode to hear: How a house fire and some insurance money became the unlikely seed funding for a global brand What nearly sinking the company in manufacturing defects actually taught him about building one that lasts How ignoring his investors' advice turned out to be the right call What he looked for in a successor CEO (and why culture was non-negotiable) What he'd do completely differently if he launched PopSockets today Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 01:15 From philosophy professor to phone grip inventor 05:17 How a house fire funded PopSockets 07:33 Manufacturing nightmares nearly killed the business 10:08 The local toy store that proved it could work 13:14 The $20M Amazon standoff 16:09 Growing too fast? 18:20 Beating counterfeits in China through brand building 19:11 Why David never wanted to be CEO 23:07 The worst advice received, and what to do instead 26:35 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

The Pentagon is playing chicken with Anthropic over who gets to control how the military uses AI while communities across the country are blocking data center construction. As the AI debate has been flattened to “doomers versus boomers,” one state legislator is attempting to walk a middle road. On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Alex Bores, New York Assembly member and congressional candidate. Bores sponsored New York's first-of-its-kind AI safety law the RAISE Act — and quickly became the target of a Silicon Valley super PAC with $125 million to spend on attack ads. Listen to the full episode to hear about: The dueling super PACs now fighting over AI's future, and why Anthropic's $20 million bet on the pro-regulation side matters. What the RAISE Act actually requires, why it's being called the blueprint for AI regulation nationwide. Whether AI regulation ends up looking like finance and biotech or goes the way of social media — largely unregulated until the damage is done. What's coming next from Bores’ office: bills on training data disclosure, content provenance, and a 43-point national AI framework. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Crypto is creeping back into the startup conversation, but at ETH Denver last week, the buzz was as much about Washington as it was about tokens. Policy shifts are rippling through the market as Tether and stablecoins face scrutiny, players like Stripe re-enter the chat, and startups either find traction or flame out. The hype cycle is over, or at least taking a break. So what comes next? On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Jacquelyn Melinek, CEO of Token Relations and host of the Talking Tokens and Crypto in America podcasts, to make sense of how the market has changed and what in the world of crypto is built to last. Listen to the full episode to hear about: Why ETHDenver fell flat despite a strong speaker lineup, and what it signals about crypto’s shifting hubs. What White House crypto adviser Patrick Witt and SEC Commissioner Hester Peirce are actually pushing for with The GENIUS Act and Clarity Act. What Stripe is quietly building with Bridge, Privy, and Tempo, and whether it's becoming the Visa of stablecoin settlement. Tether's shrinking equity cushion and what a de-pegging event could mean for the broader crypto market. YC’s surprising move to accept stablecoin investment as Bitcoin prices sit at half their peak. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

TechCrunch's founder-focused podcast, Build Mode, is back. This season we’re breaking down what it really takes to build a world-class founding team starting with your cap table, equity structures, and startup compensation strategy. We kick off with Yuri Sagalov, managing director at General Catalyst and former founder, YC partner, and seed investor at Wayfinder Ventures. Yuri has worked with hundreds of pre-seed and seed-stage startups, and he shares practical advice on how early-stage founders should think about startup equity, cap table design, investor selection, and compensation structures from day one. He breaks down: The 3 types of investors (and which one to avoid) Why your cap table is part of your team The 20–25% seed dilution rule How to split equity with a co-founder How to talk to early employees about risk and compensation No matter where you are in your startup journey, this episode will help you get the incentive structure right from the beginning. Chapters: 00:00 - Why your first hires deserve more equity 00:31 - Meet Yuri Sagalov (YC → General Catalyst) 02:12 - Your cap table is part of your team 02:50 - The 3 types of investors (avoid this one) 05:02 - How to split equity with a co-founder 07:55 - How much equity to give early employees 09:37 - How to talk compensation and risk 12:31 - Red flags in formation docs and vesting 18:27 - Advisors for equity? Usually a mistake 20:05 - The 20–25% seed dilution rule 26:03 - The shift to 10-year stock options 34:11 - Don’t scale before product-market fit 39:23 - Final advice: Just start and choose your co-founder carefully New episodes of Build Mode drop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams. Learn more about your ad choices. Visit megaphone.fm/adchoices

The creator economy is evolving fast, and ad revenue alone isn't cutting it anymore. YouTubers are launching product lines, acquiring startups, and building actual business empires. Even MrBeast's company bought fintech startup Step, and his chocolate business is outearning his media arm. This isn't just one creator's strategy. It's the new playbook. On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Rebecca Bellan unpack how creators are diversifying beyond ads, what happens when influence becomes infrastructure, and whether this model can scale beyond the top 1%. Listen to the full episode to hear about: How Date Drop raised “a few million” on the idea that one curated match per week can fix college dating burnout Ex-Tesla VP Drew Baglino's $140M raise for solid-state transformers powering AI data centers The handshake that didn't happen: Sam Altman and Dario Amodei's moment at India's AI summit India's $200B AI infrastructure push and why its first AI IPO flopped ByteDance's Seadance 2.0 and whether AI video tools democratize creativity or just create an endless flood of content Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Startup founders are being pushed to move faster than ever, using AI while facing tighter funding, rising infrastructure costs, and more pressure to show real traction early. Cloud credits, access to GPUs, and foundation models have made it easier to get started, but those early infrastructure choices can have unforeseen consequences once startups move beyond free credits and into real cloud bills. On this episode of TechCrunch's Equity podcast, Rebecca Bellan caught up with Darren Mowry, Google Cloud’s vice president of global startups who is right at the center of those tradeoffs. Together, they discuss what Mowry’s seeing across the startup ecosystem, how Google Cloud is competing for AI startups, and what founders should be thinking about as they scale. Listen to the full episode to hear about: How Google positions against AWS and Microsoft in the AI startup race. TPUs vs GPUs: How much does hardware choice matter for early-stage companies? Which AI verticals are seeing real growth, and what’s standing out in biotech, climate tech, developer tools, and world models. What red flags will signal that a startup isn’t going to make it. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI companies have been hemorrhaging talent the past few weeks. Half of xAI’s founding team has left the company — some on their own, others through “restructuring” — while OpenAI is facing its own shakeups, from the disbanding of its mission alignment team to the firing of a policy exec who opposed its “adult mode” feature. On this episode of TechCrunch’s Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into the week's biggest deals and departures, from billion-dollar bets on fusion and robotics to the tech exodus reshaping AI companies. Listen to the full episode to hear about: Why humanoid robot startups are raising nearly $1 billion and partnering with Google DeepMind Whether fusion power startup Inertia Enterprises can actually deliver on its 2030 timeline, and why investors keep betting millions What the Epstein files reveal about Silicon Valley dealmaking, particularly during the EV boom Why AI Super Bowl ads might not be landing outside Silicon Valley Chapters 00:00 Intro 02:46 AI Super Bowl ads ⁠aren’t quite landing⁠ outside of Silicon Valley 04:31 Apptronik raises $935M for humanoid robotics 09:05 Will automakers partner with humanoid robotics startups? 13:05 Inertia Enterprises raises $450M for fusion energy 18:44 What the Epstein files reveal about ⁠Silicon Valley dealmaking⁠ 30:56 The exodus at xAI and OpenAI, and what it means for the AI race 37:22 Outro Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Enterprise AI is shifting fast from chatbots that answer questions to systems that actually do the work across an organization. But who will own the AI layer that powers all of it? Glean, which started as an enterprise search product, has evolved into what it calls an “AI work assistant,” aiming to sit underneath other AI experiences, connecting to internal systems, managing permissions, and delivering intelligence wherever employees work. On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Glean’s CEO and founder Arvind Jain at Web Summit Qatar to break down how enterprises are thinking about AI architecture, what's driving consolidation, and what's real versus hype in the agent space. Listen to the full episode to hear about: The fight between bundled AI from tech titans like Microsoft, Google and platform layers like Glean and its competitors. How AI adoption is reshaping leadership and organizational design. Why permissions and governance are harder problems than most companies realize. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI lab Flapping Airplanes just landed $180 million in seed funding from the likes of Google Ventures, Sequoia, and Index to do something most labs have quietly given up on: making models learn like humans instead of vacuuming up the internet. The founding team, made up of brothers Ben and Asher Spector and co-founder Aidan Smith, is betting that radically more data-efficient training could open the door to entirely new AI capabilities. Today on Equity, TechCrunch AI editor Russell Brandon sits down with all three founders to discuss why investors wrote such a large check for a lab with no product, what becomes possible with more efficient AI, and why they're prioritizing creativity over credentials. Listen to the full episode to hear about: Why the Flapping Airplanes team is focused on research first, commercialization later What the "neolabs" generation means for AI development How they plan to make AI models 1,000x more data efficient. A hint? The team thinks the brain is "the floor, not the ceiling" for AI capabilities Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Elon Musk has merged SpaceX and xAI, creating what might be the blueprint for a new Silicon Valley power structure. With his $800 billion net worth already rivaling historic conglomerate GE's peak market cap, and Musk being vocal about his view that "tech victory is decided by velocity of innovation," the question isn't whether a personal conglomerate can be built, but rather how far Musk himself is going to take it. Today on Equity, we're unpacking this new era of the "everything" business, whether we'll see others like Sam Altman follow suit, and more of the week's headlines. Listen to the full episode to hear about: Waymo's new $16B funding and why Alphabet staying as majority owner matters for an eventual IPO Why everyone from Intel to Tesla is trying to break Nvidia's AI chip dominance ElevenLabs’ $11B valuation, and why some investors are doubling — and quadrupling — down as it moves beyond voice AI Positron's $230M bet on power-efficient chips as the next frontier Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Andreessen Horowitz just raised a whopping new $15 billion in funding. And a $1.7 billion chunk of that is going to its infrastructure team, the one responsible for some of its biggest, most prominent AI investments including Black Forrest Labs, Cursor, OpenAI, ElevenLabs, Ideogram, Fal and dozens of others. A16z general partner with the infra team Jennifer Li (who oversees such investments as ElevenLabs – just valued at $11 billion); Ideagram and Fal, has a clear thesis on where the team is looking to spend it’s latest chunk of cash. Today on TechCrunch's Equity podcast, Venture and Startups editor Julie Bort talked with Li about where a16z sees this AI super cycle going next, including the talent crunch hitting AI-native startups, why search infrastructure matters more than people think, and what kinds of companies are actually getting funded right now. Listen to the full episode to hear about: Where Li thinks the gaps still are when it comes to startups building an AI stack What makes the most successful AI portfolio companies different How tools like voice AI are rising in importance (yet still a bit uncomfortable to witness) The AI startups she's still searching for and is ready to fund Chapters: 00:00 Intro 01:01 Andreessen Horowitz's $1.7B infrastructure fund 05:00 Crossing the uncanny valley in AI-generated content 07:14 Agents finally becoming real in 2026 09:30 Building your first productivity agent 11:56 Why email agents aren't quite there yet 15:00 Which jobs will agents replace first? 18:05 The most unhinged opinion: Creativity belongs to humans 20:21 The limits of LLMs and the rise of world models 22:13 AI-designed chips are coming 24:00 The truth behind those viral ARR numbers 26:10 Hiring at AI speed: The talent shortage problem 28:47 The pricing mistake that became a big deal 29:21 The future of search for AI agents 30:45 Outro Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Self-driving truck startup Waabi's billion-dollar fundraise isn't just about trucks. The deal, for $750 million up front plus another $250 million from Uber tied to deployment milestones, marks a major expansion into robotaxis for the company founded by former Uber AI chief Raquel Urtasun. It also feels like another chip from Uber on the autonomous vehicle roulette table. With more than 20 AV partners worldwide, the question isn't just whether Waabi can deliver on its plans to deploy over 25,000 robotaxis, but whether Uber's bet-on-everything strategy actually works. Today on TechCrunch's Equity podcast, hosts Kirsten Korosec, Sean O'Kane and Anthony Ha discussed Uber's AV partnership strategy, why Waabi's "simulation-first" approach might be different, and more of the week's headlines. Listen to the full episode to hear about: Anduril's drone race recruitment stunt and whether it's the future of hiring or just good PR Phia’s $35M raise for an AI shopping assistant as brick-and-mortar stores close their doors Northwood Space's $100M Series B and the booming space infrastructure market Who’s really winning in TikTok's messy US ownership deal, and the competitors trying to capitalize The IPO window cracking open, and how SpaceX plans to go through it Chapters: 00:00 Intro 02:13 Palmer Luckey's bold recruiting strategy 04:04 Phia raises $35M for sustainable shopping 06:27 Browser extensions & the privacy problem 09:59 Northwood Space's $100M Series B & Space Force contract 12:17 The rise of dual-use space companies 14:01 Waabi's $1B valuation & beyond trucking 16:36 Uber's strategy: Betting on every AV partner 19:12 TikTok's US deal & immediate outage 21:46 TikTok competitors gain ground 24:03 IPO window opening: Ethos, Serve, and SpaceX 27:57 Will Elon actually take SpaceX public this time? 29:11 Outro Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

SpaceX is reportedly lining up four major Wall Street banks for a 2026 IPO that could provide the reset the market needs. The company just completed a tender offer at an $800 billion valuation, and secondary market demand is through the roof. If SpaceX goes public anywhere near its rumored $1.5 trillion valuation, it could trigger an IPO cascade for other late-stage unicorns like OpenAI, Stripe, and Databricks. Today on TechCrunch’s Equity podcast, Rebecca Bellan spoke with Greg Martin, Managing Director at Rainmaker Securities, to discuss why this IPO feels different, how tech employees are cashing out through secondary markets before companies go public, and what investors are actually looking for in pre-IPO shares. Listen to the full episode to hear: Which other late-stage unicorns are seeing the most secondary trading action right now. Why SpaceX is ready to go public, despite previously saying it “wouldn't IPO until rockets were flying to Mars regularly” (and why Martin doesn’t think SpaceX will continue on its debut path if the market tanks) The "Elon halo effect" and how much of SpaceX's valuation is based on Musk himself What happens when SpaceX employees want to sell shares before the IPO Chapters: 00:00 Introduction 01:39 The Booming Secondary Market for Pre-IPO Shares 04:06 SpaceX as an IPO Bellwether 06:31 Why Elon Musk Changed His Mind on Going Public 10:04 The Race to a Trillion-Dollar Valuation 12:27 The Elon Halo Effect on Valuations 15:17 What Signals an Upcoming IPO? 17:50 How Secondaries Drive Better Price Discovery 20:47 How SpaceX Secondaries Actually Work 24:03 What Investors Want from Pre-IPO Companies 25:11 The Have and Have-Not World of Secondaries 26:42 Outro Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

The World Economic Forum's annual meeting in Davos felt different this year, and not just because Meta and Salesforce took over storefronts on the main promenade. AI dominated the conversation in a way that overshadowed traditional topics like climate change and global poverty, and the CEOs weren't holding back. There was public criticism of trade policy, warnings about AI bubbles popping, and a lot of talk about what comes next for the industry. Meanwhile, back in Silicon Valley, AI startup Humans& raised a $480 million seed round with no product on the market, just a vision for "social intelligence" AI and a team of ex-Anthropic, Google, and xAI employees. Today on TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane discuss why raising hundreds of millions before building a product is apparently the new norm, which conversations took over Davos this week, and more. Listen to the full episode to hear more from the week, including: Whether Meta's 10% layoffs at Reality Labs means the end for the metaverse, and who’s defending Meta's VR investments Serve Robotics' acquisition of Diligent, a startup bringing delivery bots into hospitals OpenAI’s rumored earbuds and what we expect to see from the AI company’s first hardware product. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Today on Equity, we're teaming up with our newest podcast, Build Mode. In this interview, Build Mode host Isabelle Johannessen sits down with Ross Fubini of XYZ Ventures and Leslie Feinzaig of Graham & Walker Ventures to pull back the curtain on how VCs build their own go-to-market strategies. They dig into what it’s really like raising a first fund, why founder-market fit applies to investors too, and how the best investor relationships start years before you ever need the money. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI companies are clustering around healthcare and fast. In just the past week, OpenAI bought health startup Torch, Anthropic launched Claude for Health, and Sam Altman-backed MergeLabs closed a $250 million seed round at an $850 million valuation. The money and products are pouring into health and voice AI, but so are concerns about hallucination risks, inaccurate medical information, and massive security vulnerabilities in systems handling sensitive patient data. Today on TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into why the AI world is suddenly obsessed with health care, what other products can expect an AI-makeover, and more. Listen to the full episode to hear: How Anthropic's co-work tool could threaten Salesforce and other enterprise software giants Bandcamp’s move against AI, banning AI-generated music from its platform Why fusion energy is heating up, with startups like Type One Energy suddenly raising hundreds of millions The latest on Luminar's bankruptcy and a potential bidding war overits LIDAR assets Chapters: 00:00 - Introduction 00:29 - Waymo testing in New York City? 02:13 - Bandcamp bans AI-generated music 04:57 - Luminar's bankruptcy and LIDAR fire sale 10:28 - Type One Energy's fusion funding frenzy 16:10 - AI's healthcare land grab 23:28 - Voice AI deals heat up 25:26 - Anthropic's co-work tool threatens enterprise software Subscribe to Equity on ⁠YouTube⁠,⁠ Apple Podcasts⁠,⁠ Overcast⁠,⁠ Spotify⁠ and all the casts. You also can follow Equity on⁠ X⁠ and⁠ Threads⁠, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI agents are supposed to make work easier. Instead, they're creating a whole new category of security nightmares. As companies deploy AI-powered chatbots, agents, and copilots across their operations, they're facing a new risk: how do you let employees and AI agents use powerful AI tools without accidentally leaking sensitive data, violating compliance rules, or opening the door to prompt-based injections? Witness AI just raised $58 million to find a solution, building what they call "the confidence layer for enterprise AI." Today on TechCrunch’s Equity podcast, Rebecca Bellan was joined by Barmak Meftah, co-founder and partner at Ballistic Ventures, and Rick Caccia, CEO of Witness AI, to discuss what enterprises are actually worried about, why AI security become an $800 billion to $1.2 trillion market by 2031, and what happens when AI agents start talking to other AI agents without human oversight. Listen to the full episode to hear: How enterprises accidentally leak sensitive data through "shadow AI" usage. What CISOs are actually worried about right now, how the problem has evolved rapidly over 18 months, and what it will look like over the next year. Why traditional cybersecurity approaches don't work for AI agents. Real examples of AI agents going rogue, including one that threatened to blackmail an employee. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

After years of chatbots and image generators, AI is finally leaving the screen. At CES 2026, that shift became impossible to ignore. The annual tech showcase in Las Vegas was dominated by "physical AI" and robotics, from Boston Dynamic's newly redesigned Atlas humanoid robot to AI-powered ice makers (yes, really). The companies in attendance clearly want consumers to know: AI isn't just capable of answering questions anymore. It's ready to movecar parts in factories, catchcatching drones with net guns, and dance in automaker booths. Today on TechCrunch’s Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O’Kane break down everything we saw at CES 2026 and more deals from the week that caught our eye. Listen to the full episode to hear about: Discord’s rumored IPO, years after shutting down a Microsoft acquisition xAI's massive $20 billion raise and the dark side of Grok's content moderation failures How Mobileye is getting into the humanoid robotics game with its acquisition of Mentee Robotics OpenAI's potential shift toward audio-first, screenless AI experiences Chapters: 00:00 - Intro 00:38 - Discord's surprise IPO filing 03:24 - xAI's $20B raise amid CSAM controversy 11:06 - Mobileye's pivot to humanoid robotics 14:41 - Physical AI takes over CES 18:31 - Why humanoid robots still don't make sense 24:26 - OpenAI's war on screens and ambient computing 29:56 - Wrap-up Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Vanessa Larco, partner at Premise and former partner at NEA, thinks 2026 will finally be the year of consumer AI. Larco, who's been investing in consumer and prosumer for years, thinks we're about to see a shift in how consumers spend time online, with AI powering “concierge-like” services. The question is, will legacy consumer products like WebMD and TripAdvisor continue to exist as standalone apps, or will they just get absorbed into ChatGPT or Meta AI? And where can startups carve out an AI-powered niche for themselves? Today on TechCrunch's Equity podcast, Rebecca Bellan sat down with Larco to talk about why consumer is back, what OpenAI won't kill, and where the real opportunities are hiding. Listen to the full episode to hear about: Why Larco thinks OpenAI won't build marketplace businesses that require managing real humans. Larco’s take on "disposable software" and why AI apps “should be treated like Word docs.” How Meta Ray-Ban smart glasses turned Larco into a believer in voice interfaces (and why she thinks screens are optional for most tasks). More predictions for 2026, including another huge year for M&A. What new business models stablecoins could unlock. 00:00 - Introduction 00:53 - Why founders are excited about consumer again 04:40 - The moat against OpenAI: Managing real humans 09:22 - Apps as disposable as Word docs 12:48 - Social media in the AI era 18:48 - Meta Ray-Bans and why wearables are actually good 23:35 - Stablecoins and consumer fintech opportunities 26:54 - M&A predictions for 2026 Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

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Fizz is betting that Gen Z is tired of performing their lives on Instagram and TikTok. What started as a pandemic-era group chat frustration has turned into the dominant social platform on college campuses across the US, focused on the 99% of life that doesn't make it into a highlight reel. Capturing the attention of a demographic typically glued to Instagram and TikTok, the app's hybrid anonymous model and hyperlocal focus has made it what Solomon calls "the biggest college social app since Facebook.” Today we're bringing you a conversation that Dominic Madori Davis had with Fizz’s co-founder and CEO Teddy Solomon from this year's Disrupt, digging into why he thinks social media stopped being social. Listen to the full episode to hear: Why Solomon thinks Instagram and TikTok became pure entertainment platforms, and why that created an opening How Fizz uses 7,000 volunteer student moderators plus AI to keep the platform safe The company's expansion strategy beyond college and what "Global Fizz" actually means Solomon’s case for why New York is a better place to build a consumer company than San Francisco Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 - Introduction 01:34 - What broke in social media 04:03 - Building for the 99% of life 07:29 - Content moderation at scale 11:16 - The risks of anonymous social 13:22 - Pandemic origins and IRL community 16:49 - Why the company moved to New York 19:45 - Scaling with "arguably the most retentive social product in history" 21:32 - Almost getting arrested at Pepperdine…for donuts 26:09 - The future of social media Learn more about your ad choices. Visit megaphone.fm/adchoices

TechCrunch's Equity crew is bringing 2025 to a close and getting ahead on the year to come with our annual predictions episode! Hosts Kirsten Korosec, Anthony Ha, and Rebecca Bellan were joined by Build Mode host Isabelle Johansson to dissect the year's biggest tech developments, from mega AI funding rounds that defied expectations to the rise of "physical AI," and make their calls for 2026. The group tackles everything from why AI agents didn't live up to the hype in 2025 (but probably will in 2026), to how Hollywood will push back against AI-generated content, to why VCs are facing a serious liquidity crisis. Listen to the full episode to hear: Why world models are the next big thing in AI and how they're different from large language models The death of "stealth mode" for AI startups and the rise of alternative funding sources Predictions on regulatory chaos around AI policy and what Trump's recent executive order means for startups Hot takes on IPOs: Will OpenAI and Anthropic actually go public in 2026? Rapid-fire predictions including Johnny Ive and Sam Altman's inevitable public breakup, the return of dumb phones, and why everyone will be calling themselves "AI native" What's coming in Build Mode season 2: A deep dive into team building, hiring, and finding co-founders Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 - Introduction 01:43 - Rating our 2025 predictions 04:19 - Funding in the bubble era 06:35 - World models and the future of AI 09:05 - The year of AI agents (for real this time) 11:58 - Physical AI everywhere 15:19 - AI meets Hollywood 16:25 - Regulatory chaos and federal preemption 18:34 - The liquidity crisis and LP direct investing 22:19 - IPO predictions for 2026 23:57 - Startup trends for 2026 27:06 - Buzzwords we're sick of hearing 28:15 - Rapid fire predictions 32:50 - What's next for Build Mode Learn more about your ad choices. Visit megaphone.fm/adchoices

There's plenty of hype around AI and robots in healthcare, but the problem that's actually costing hospitals money right now is operating room coordination. Two to four hours of OR time is lost every single day, not because of the surgeries themselves, but because of everything in between from manual scheduling and coordination chaos to guesswork about room turnover. Today on TechCrunch’s Equity podcast, we're bringing you a conversation that TechCrunch AI Editor Russell Brandom had with Conor McGinn, co-founder and CEO of Akara, the startup that recently landed a spot on Time's Best Inventions of 2025 and is building what’s essentially air traffic control for hospitals using thermal sensors and AI. Listen to the full episode to hear: Why Akara pivoted from cleaning robots to ambient sensing, and how thermal sensors document surgeries without privacy concerns How NHS vetting became McGinn's backdoor into US hospitals The real bottleneck holding back medical robotics. (Spoiler: it's not the robots, it's the infrastructure) Why 40% of the nursing workforce could leave in the next five years, and what that means for automation Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 - Introduction 00:54 - Air traffic control for ORs 02:35 - Where hospitals lose hours daily 03:54 - Selling into risk-averse hospitals 06:21 - Thermal sensors and edge AI 09:11 - NHS as proof of concept 13:16 - The AI under the hood 18:12 - Privacy benefits of thermal 21:22 - Infrastructure before robots Learn more about your ad choices. Visit megaphone.fm/adchoices

The hardware world had a brutal week, with iRobot, Luminar, and Rad Power Bikes all filing for bankruptcy. Each company faces its own mix of tariff pressures, supply chain issues, and shifting markets, but together they tell a larger story about the challenges of building physical products in an era of global trade tensions and cheap overseas competition. From the Roomba maker that almost got acquired by Amazon to the e-bike company that couldn't escape its Chinese supply chain, this week's bankruptcies are a warning sign for hardware startups everywhere. Today on TechCrunch's Equity podcast, hosts Anthony Ha, Rebecca Bellan, and Sean O'Kane discuss what went wrong for three once-promising hardware companies, plus Amazon's massive OpenAI bet and Trump's new approach to AI regulation. Listen to the full episode to hear more news from the week, including: How "slop" became Merriam-Webster's word of the year — and why it's become bigger than just AI-generated content Why Databricks raised $10 billion at a $134 billion valuation (in a Series L!) instead of just going public already The Coursera-Udemy merger and whether online course platforms can survive the AI era Chapters: 00:00 - Introduction 00:24 - AI slop is Merriam-Webster's word of the year 06:07 - Amazon's $10 billion OpenAI investment 10:43 - Databricks raises $10 billion in a Series L 14:14 - Coursera acquires Udemy 19:17 - Hardware bankruptcies: iRobot, Luminar, and Rad Power Bikes 26:21 - Trump's AI executive order targets state regulation Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Jiten Behl, partner at Eclipse Ventures and former chief growth officer at Rivian, thinks we're entering an era of major re-industrialization in the US — one where factories run on AI-powered robots, not cheap overseas labor. Behl, who helped scale Rivian from a conference room idea in 2015 to a publicly traded EV maker, is now investing in the next wave of industrial and mobility startups, including two Rivian spinouts: Also and Mind Robotics. It's part of Eclipse's larger bet that the physical world is finally ready for the kind of disruption software saw a decade ago. Today on TechCrunch's Equity podcast, Kirsten Korosec sat down with Behl to talk about why Rivian keeps spinning out companies, what founders in the "physical world" need that software founders don't, and why automation is becoming necessary if the US wants to compete without Chinese supply chains. Listen to the full episode to hear about: Why Behl looks for founders who are both "hyper-optimistic" and grounded in reality, and why that combination is surprisingly rare, even in Silicon Valley. How vertical integration worked for Rivian but won't work for most startups today. Behl's prediction that autonomy will become "real and something we can touch and feel" in the next five years. Subscribe to Equity on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

A baby was born in a Waymo this week, and it wasn't even the first one. What started as a novelty story quickly became a reminder of how autonomous vehicles have quietly become part of everyday life, complete with all the messiness that entails. The real coming-of-age story this week, however, wasn't happening in San Francisco's robotaxis. It was playing out in Hollywood, where Netflix made an $82 billion bid to acquire Warner Bros. Discovery's streaming and studio business. Today on TechCrunch's Equity podcast, hosts Kirsten Korosec and Anthony Ha discuss what happens when the startup that used to mail you DVDs grows up and tries to buy a legacy entertainment empire as well as the other headlines that caught their eye. Listen to the full episode to hear about: How Boom Supersonic is selling jet engines to data centers to fund its supersonic flight dreams Why Hinge's CEO is leaving to start an AI dating app, and whether AI can actually fix dating The rise of AI circular deals and what CoreWeave's CEO says about companies investing in their own customers A fertility startup using AI-designed antibodies to expand beyond ovulation tracking Subscribe to Equity on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

ElevenLabs has made a name for itself building realistic AI voices. What started as two Polish engineers annoyed by terrible movie dubbing has grown into a profitable company now valued at $6.6 billion, doubling its valuation from just nine months ago. The company recently announced a $100 million tender offer led by Sequoia and ICONIQ, with participation from a16z and others, as its tech powers everything from Fortnite characters to customer service bots and goes toe-to-toe with OpenAI to become the default voice of AI. Today on TechCrunch's Equity podcast, we’re bringing you a conversation with CEO Mati Staniszewski from this year's Disrupt, where he made a surprising admission: he thinks voice models will be commoditized in just a couple of years. So what's ElevenLabs' plan when everyone else catches up? Listen to the full episode to hear about: Why ElevenLabs is pivoting from just voice models to building a conversational AI agent platform How the company is tackling deepfakes with watermarking, AI detection, and device authentication Why Staniszewski believes there will soon be more AI-generated content than human content ElevenLabs' push into music generation and partnerships to fuse audio with video models Subscribe to Equity on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

AWS announced a wave of new AI agent tools at re:Invent 2025, but can Amazon actually catch up to the AI leaders? While the cloud giant is betting big on enterprise AI with its third-gen chip and database discounts that got developers cheering, it's still fighting to prove it can compete beyond infrastructure. This week on Equity, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into the ROI on AI agents, plus the collision course between Hollywood and generative AI, and why everyone wants their own version of Spotify Wrapped. Listen to the full episode to hear about: Why Hollywood filmmakers are drawing hard lines between performance capture and AI, and another spiked attempt at AI regulation Nothing's $5 million community funding round and whether letting consumers invest is genuine community-building or just IPO hype Autolane's $7.4 million raise to build "air traffic control for robotaxis" Wrapped battles from Spotify, YouTube, and others chasing their viral moment Subscribe to Equity on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Tech is racing ahead while society struggles to keep up. Masha Bucher, founder and GP of Day One Ventures, built her firm around closing that gap by combining venture capital with hands-on PR to help portfolio companies not just raise money, but actually break through the noise. Day One's been an early backer of companies like World, Superhuman, and Remote.com, with 12 of its portfolio companies hitting multibillion-dollar valuations. Today on TechCrunch's Equity podcast, Rebecca Bellan sat down with Bucher to talk about why traditional PR is broken, how she picks founders, and why every startup founder now needs to be chronically online. Listen to the full episode to hear about: Why Bucher thinks being a VC first makes her better at PR, and why the traditional PR model is "misaligned" for startups. How she vets building teams and finds the “most exceptional founders.” Why founders can't just pick one platform anymore, along with Bucher’s simple – and potentially contentious -- advice for getting started on social media. Subscribe to Equity on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

Vibe coding has taken the tech industry by storm, and it's not just the Lovables and Replits of the world that are winning. The startups building the infrastructure behind them are cashing in too. Supabase, the open-source database platform that's become the backend of choice for the vibe-coding world, raised $100 million at a $5 billion valuation just months after closing $200 million at $2 billion. But co-founder and CEO Paul Copplestone has a surprising strategy: he keeps turning down million-dollar enterprise contracts, betting instead that vibe coding will birth the next generation of companies. Today on TechCrunch's Equity podcast, Julie Bort sat down with Copplestone to explore Supabase's rise and what it means for the database race. Listen to the full episode to hear about: Why Copplestone believes "the death of Oracle won't take a generation" The technical moonshots Supabase is funding to make Postgres even more scalable How he decides which enterprise deals to turn down, and why it still "feels very painful" Subscribe to Equity on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices