The AI Grapple

For our milestone 50th episode of The AI Grapple, Kate vanderVoort (Founder and CEO, AI Success Lab) sits down with social media pioneer Mari Smith, widely known as the “Queen of Facebook.” With nearly two decades at the forefront of social media marketing, Mari has witnessed the rise, peak and reinvention of platforms like Facebook. Now, as AI reshapes marketing, business and human interaction itself, she finds herself at a crossroads, asking the same question many marketers are grappling with: What does authentic connection look like in a world where AI generates most of what we see? This episode explores the future of social media, the erosion of trust online, Meta’s acquisition of Manus, agentic AI, and how Human Design can help business leaders stay grounded and aligned in an AI-saturated world. In This Episode We Explore The Trust Crisis in Social Media Mari reflects on how the early days of Facebook enabled genuine connection and direct access to thought leaders. Today, with AI-generated content flooding platforms and algorithms shaping perception, trust is declining. Key themes discussed: The prediction that 90 percent of online content could soon be AI-generated Why community may be the last true moat in business The shift from social media to “interest media” and potentially “intent media” The importance of mindful scrolling versus mindless consumption Why discernment is becoming a critical business skill Meta’s Acquisition of Manus and the Rise of Agentic AI Kate and Mari unpack Meta’s acquisition of Manus and what it signals for the future of AI integration within social platforms. They discuss: The difference between generative AI and agentic AI Why agentic AI is a much bigger shift for marketers than simple content tools How AI agents may soon manage advertising, workflows and customer interactions The implications for small businesses and ad specialists Security, trust and the risks of giving AI deeper access to our systems This conversation highlights how AI is rapidly moving from content assistant to autonomous operator. Human Design and Authentic Marketing in an AI World Mari shares how her deep study of Human Design has reshaped the way she approaches business and marketing. Topics include: What Human Design is and how it differs from traditional personality systems The concept of inner authority and body-based decision-making Why traditional urgency marketing can conflict with personal alignment How understanding your energy type can improve marketing strategy The importance of saying no to opportunities that do not feel aligned Rather than outsourcing identity to AI or blindly following marketing formulas, Mari advocates returning to self-awareness and personal authority. Staying Human in an AI-Saturated World As AI tools become embedded into everything, the conversation turns to responsibility. Key reflections include: AI as a mirror of human consciousness The danger of outsourcing thinking and creativity The difference between augmentation and replacement Why live video and in-person experiences may increase in value The growing need for trusted guides, coaches and human leadership Mari shares her optimistic vision of a future where empowered individuals collaborate more deeply and bring their uniquely human strengths forward. Practical Takeaways for Marketers Build real community, not just audience size Prioritise human-to-human conversations in DMs and private groups Use AI as a co-creative partner, not a replacement for your voice Develop discernment before reacting or amplifying content Lean into what energises you rather than rigid posting formulas Protect your authenticity even when using AI tools Mari’s Favourite AI Tools ChatGPT (including a custom GPT trained on her Human Design profile) Fathom AI for meeting notes Granola AI for audio-based summaries Descript for video editing and content repurposing About Mari Smith Mari Smith is a world-renowned social media thought leader and online marketing strategist. Known as the Queen of Facebook, she has helped entrepreneurs and global brands build authentic, high-impact marketing strategies for over 20 years. Today, she blends her marketing expertise with the transformative lens of Human Design, guiding creators and business leaders to align with their true voice and thrive authentically in an AI-driven world. Connect with Mari Smith Organisation: Mari Smith International, Inc. Website: www.marismith.com Facebook (Page): https://www.facebook.com/marismith Facebook (Profile): https://www.facebook.com/maris Instagram: https://www.instagram.com/mari_smith LinkedIn: https://www.linkedin.com/in/marismith/ Final Reflection As AI becomes embedded into social media, marketing and everyday life, the question is no longer whether AI will change business. It already has. The real question is this: Will we use AI to replace our humanity, or to amplify it? Episode 50 of The AI Grapple invites you to grapple with exactly that.

AI is already shaping how young people learn, think, and engage with the world. The real question is whether education systems are preparing them for that reality. In this episode of The AI Grapple, Kate vanderVoort (Founder and CEO, the AI Success Lab) is joined by educator, author, and AI literacy advocate Lindy Hockenbary (also known as LindyHoc). Lindy brings nearly two decades of experience in instructional technology and curriculum design, working directly with K–12 schools, educators, and EdTech companies to make technology usable, relevant, and human-centred. Lindy’s work focuses on one clear message: AI literacy does not belong on the sidelines. It belongs in the core curriculum. What We Cover in This Episode Why AI literacy belongs in every subject Lindy explains why AI is not a “tech topic” but an extension of foundational learning. From pattern recognition in early maths to writing, research, and civics, AI intersects with every subject students already study. What AI literacy actually means Moving beyond buzzwords, Lindy breaks AI literacy down into three practical skills: understanding how AI works, evaluating its outputs, and using it with intention. These skills sit within broader information literacy and are essential for discernment in an AI-driven world. There’s no such thing as digital citizenship, just citizenship Online and offline life are no longer separate. Lindy challenges the idea that digital skills can be taught in isolation and explains why civics education must now include algorithms, data, and the influence of technology on democracy. How algorithms shape young people’s beliefs and behaviour From search results to social media feeds, students are constantly influenced by systems they don’t fully understand. Lindy shares why teaching kids how these systems work is key to protecting their agency and voice. AI, personalisation, and the classroom Kate and Lindy explore the promise of personalised learning, including how AI can reduce teacher workload and support students with anxiety or different learning needs. They also unpack the risks of overuse, screen fatigue, and losing collaboration in the classroom. Fear, misinformation, and job loss myths Lindy addresses common concerns among educators and parents, including fears about AI replacing teachers. She explains why those fears are fading as AI literacy increases and how understanding the technology reduces anxiety. Why AI literacy reduces misuse Research shows that when people understand AI better, they use it more selectively. Lindy explains the “magical thinking trap” and why low AI literacy often leads to over-reliance rather than thoughtful use. What parents and educators can do right now Practical ideas for starting conversations early, modelling healthy AI use, and using tools that encourage curiosity rather than shortcuts. This includes shared learning, asking better questions, and using AI to support thinking instead of replacing it. What becomes possible if we get this right Lindy paints a hopeful picture of a future where strong AI literacy creates more creativity, narrows equity gaps, and gives young people the space and confidence to tackle complex global problems. Tools and Resources Mentioned NotebookLM – A powerful learning tool for summarising, exploring, and studying content SchoolAI – Guardrailed AI tools designed for educators and students Suno – AI music generation for creative learning and engagement ChatGPT (Study Mode) – Using AI to guide thinking rather than provide answers Varsity Tutors – Parent-Powered AI Webinar The Good Robot podcast – Exploring different perspectives on AI About Lindy Hockenbary Lindy Hockenbary is an educator, author of A Teacher’s Guide to Online Learning, and a 2025 Women in AI honoree recognised by the ASU+GSV Summit. With a background in classroom teaching, instructional technology, and professional learning, she works globally with educators and EdTech companies to ensure AI tools support real learning needs. Her work centres on AI literacy, information literacy, and rethinking civics education for an AI-shaped world. Connect with Lindy: Website: https://lindyhoc.com LinkedIn: https://www.linkedin.com/in/lindyhockenbary/ Listen to the Episode 🎧 Tune in to The AI Grapple with Lindy Hockenbary on your favourite podcast platform. If this episode sparked ideas or questions, share it with a parent, educator, or leader navigating AI right now.

In this episode of The AI Grapple, Kate vanderVoort, Founder & CEO, the AI Success Lab, is joined by Lee Hickin, Executive Director of the Australian Government’s National AI Centre, for a wide-ranging and practical conversation about AI adoption in Australia. With more than 30 years in senior technology leadership roles across Microsoft and AWS, Lee brings a rare perspective that bridges enterprise technology, public policy and real-world business impact. Together, Kate and Lee unpack where Australia truly sits on AI adoption, why our national approach has prioritised innovation alongside safety, and what business leaders need to understand to move beyond experimentation into meaningful use of AI. This episode is essential listening for leaders navigating AI strategy, governance, data risk and long-term competitiveness. Key themes and takeaways Where Australia really stands on AI adoption Why global AI rankings can distort the Australian story What per-capita adoption reveals about real-world usage The risk of fear-driven narratives slowing progress Why AI adoption is not a zero-sum global race From experimentation to scale Why many organisations get stuck in the “AI dabble” phase The growing complexity gap between tools and outcomes Where SMEs and large enterprises face different blockers How clarity around business problems unlocks momentum Understanding the National AI Strategy What the National AI Strategy is designed to achieve Why Australia chose a principles-based, pro-innovation approach How this differs from heavy regulatory models overseas What this means in practice for Australian businesses Governance, risk and responsibility Why most AI failures are human, not technical What “good enough” AI governance actually looks like The role of AI literacy, fluency and leadership accountability Why responsibility cannot be outsourced to vendors or government Data security, privacy and sovereignty Separating AI risk from existing data security challenges Common misconceptions about AI training and data leakage Why sovereignty is about ecosystems, not isolation How poor data practices get amplified by AI systems Tech stack lock-in and innovation Why enterprise comfort with existing platforms can limit progress When staying inside your current stack makes sense How to think about best-fit AI tools for different use cases A clear framework for AI adoption: using AI, transforming with AI, or building with AI International investment and Australia’s AI ecosystem What global AI companies investing in Australia really signals How Australia can benefit without losing local capability The importance of a strong domestic AI ecosystem Opportunities for Australian AI companies on the global stage Environmental impact and sustainability The real environmental costs of AI and data centres Australian innovation in sustainable AI infrastructure Why AI-specific data centres require new design thinking Where Australia could lead globally in green AI solutions Looking ahead What success looks like if Australia gets AI adoption right How AI may reshape work and opportunity for future generations Why confidence, capability and clarity are key to progress Connect and learn more Lee Hickin on LinkedIn: https://www.linkedin.com/in/leehickin/ National AI Centre on LinkedIn: https://www.linkedin.com/company/national-ai-centre/ National AI Centre website: https://www.industry.gov.au/national-artificial-intelligence-centre

In this episode of The AI Grapple, Kate vanderVoort, Founder and CEO the AI Success Lab, is joined by economist Dr Bill Conerly to unpack what AI means for business, jobs, and the wider economy. Rather than hype or fear, Bill brings an economic lens to what is actually happening now and what signals matter most. They explore why the real impact of AI will come from specialised tools embedded into everyday workflows, not from people chatting to bots. Bill explains how general purpose technologies historically lower costs, shift prices, and improve living standards, even when disruption feels uncomfortable in the short term. The conversation also tackles job displacement, entry-level roles, ageing workforces, and what young professionals should focus on in an uncertain market. Toward the end, Kate and Bill discuss AI risk, interpretability, and whether extreme predictions about AI deserve serious concern. The episode closes with a grounded but optimistic view of how AI could improve productivity, choice, and quality of life if organisations implement it responsibly. Key Highlights • Most businesses are still in the experimentation phase Bill explains that while awareness of AI is high, clarity is not. Many leaders still see AI as synonymous with chatbots, which limits progress. As a result, activity is fragmented, with small trials rather than deliberate strategy. • The biggest economic impact will not come from chatbots Large language models are helpful, but Bill argues they are not where the major productivity gains will come from. The real shift is happening through AI embedded into specific business tasks that remove friction and save time without requiring people to learn new tools. • Specialised AI tools are already delivering measurable gains Examples from healthcare, sales, and the trades show AI quietly saving time and improving accuracy. Doctors reclaim minutes per patient, sales teams avoid manual CRM updates, and contractors generate faster, more accurate estimates, all without needing AI expertise. • AI will increasingly fade into the background Rather than being something people consciously “use,” AI will operate ambiently inside existing systems. Like GPS or recommendation engines, it becomes infrastructure, not a headline feature, which accelerates adoption. • AI fits the pattern of past general purpose technologies Bill frames AI as comparable to steam power or electricity. These technologies reshaped economies by lowering the cost of producing goods and services across many industries, rather than replacing one job or function at a time. • Why falling prices matter more than job numbers From an economic view, Bill focuses on purchasing power rather than employment counts alone. Productivity gains tend to push prices down faster than wages, which historically improves living standards, even when transitions are uncomfortable. • There may be financial froth, but real demand underneath While some AI investments and valuations may prove unsustainable, Bill believes the core economics are sound. AI-enabled services create genuine value, meaning the infrastructure will remain even if some companies fail. • Expect rapid business churn in the short term Lower barriers to building software will lead to many new companies appearing and disappearing quickly. This pattern mirrors earlier technology waves where experimentation was high and long-term winners emerged over time. • Job disruption will be visible before benefits Early job losses, especially in knowledge work, are easier to spot than gradual productivity gains. This timing gap fuels fear, even though new work and improved services tend to follow. • Older workers may feel the pressure more acutely Bill notes that people later in their careers doing repetitive knowledge tasks may find it harder to adapt or retrain. Some may opt for early retirement, raising real social and economic concerns during the transition. • Young professionals need adaptability, not certainty Entry-level roles in high AI exposure fields are shrinking. Bill suggests two responses: choosing work that is slower to automate or learning how to identify and improve repetitive processes using AI tools. • AI exposes broken systems rather than causing the problem Many frustrations blamed on AI stem from inefficient workflows that existed long before AI arrived. The technology simply removes the ability to ignore them. • Serious risks deserve attention, not panic Bill takes concerns around AI interpretability seriously, noting that experts still cannot fully explain why models behave as they do. While extreme doomsday scenarios are unlikely, thoughtful governance and oversight are necessary. • A realistic, optimistic future is possible If implemented well, AI can reduce waste, improve productivity, and give people more choice in how they work and live. The real opportunity lies not just in efficiency, but in better quality of life. Links and Resources Guest Dr Bill Conerly Website

In this episode of The AI Grapple, Kate vanderVoort, Founder and CEO of the AI Success Lab, sits down with Chris Nolte, Founder and CEO of Kayana Remote Professionals, to unpack what’s really happening at the intersection of AI, remote work, and human capability. Chris brings the rare lens of an investor-operator who has led and scaled businesses across finance, retail, prop tech, healthcare, and real estate. As an early beta tester of OpenAI and a long-time advocate for global talent, he shares grounded insights into why AI adoption often stalls, and what leaders are getting wrong about jobs, productivity, and automation. This is a practical, human-centred conversation about execution, not hype. Meet Chris Nolte Chris Nolte is the Founder and CEO of Kayana Remote Professionals, a company helping growth-minded businesses, nonprofits, solopreneurs, and PE and VC-backed portfolio companies scale using top-tier Filipino talent, supported by AI-enabled matching and workflow automation. Before Kayana, Chris spent 17 years running a family office where he bought, built, and operated companies with long-term capital. He has served as President and CEO of Verlo Mattress, co-founded AneVista Group, and advised startups through Dragonfly Group. His work today sits squarely at the intersection of AI, remote talent, and the future of work. Why AI Tools Don’t Automatically Change How Work Gets Done One of the central themes of this conversation is what Chris calls the human execution gap. Many organisations invest heavily in AI tools, only to find that very little actually changes. Chris explains why this happens and why the real barrier isn’t technology, but the expectation of full automation without redesigning roles, workflows, or accountability. Kate and Chris explore why AI still needs human judgment, why unfinished automations are everywhere, and why execution breaks down when leaders expect tools to replace thinking. AI, Repeatable Work, and the Future of Remote Roles As AI takes on more repeatable, task-based work, the nature of many roles is shifting fast. Chris shares why this shift doesn’t spell the end of remote work, but rather raises expectations for what remote professionals contribute. Entry-level, low-context roles are disappearing, while higher-level work is becoming accessible far earlier in a career. The conversation reframes the fear around AI and jobs, focusing instead on how remote workforces can move up the value chain rather than being pushed out. Global Talent, AI, and the Levelling of Opportunity A powerful thread in this episode is how AI is reshaping global opportunity. Chris explains why AI is acting as a great enabler for talented people in countries that historically lacked access to education, capital, or global markets. With AI closing gaps in language, research, and communication, opportunity is becoming more evenly distributed, even if outcomes are not. Kate and Chris discuss what this means for competition, wages, and the reality that professionals are no longer competing locally, but globally. What Makes Remote Professionals Irreplaceable With AI available to everyone, differentiation now comes from distinctly human qualities. Chris outlines why professionalism, discernment, curiosity, and output-focused thinking matter more than ever. He explains why remote professionals must actively learn how to operate at a professional standard, and why trust is built through consistency, judgment, and ownership, not just technical skill. Kate adds real-world examples from her own team, showing how AI-supported workflows free leaders from bottlenecks while raising quality and expectations. AI, Custom GPTs, and Scaling Expertise The episode dives into how custom GPTs and AI workflows are changing knowledge transfer inside businesses. Kate shares how embedding her expertise into AI systems allows her remote team to work in her voice and style, reducing rework and approvals. Chris builds on this by explaining how content, education, and even books are changing as AI becomes part of how people learn and apply information. This section offers a glimpse into how expertise can now scale without burning out the expert. Productivity, Pace, and the Reality of Change AI is moving faster than people can adapt, and both Kate and Chris acknowledge the tension this creates. They discuss why productivity gains don’t come from layering AI on top of broken processes, and why many organisations are stuck between fear, regulation, and falling behind. The conversation also touches on global differences in AI adoption and the long arc of change businesses need to prepare for. Looking Ahead: The Future of Work That Never Sleeps To close, Chris shares his view on what’s coming next. He describes a future where even small and mid-sized businesses operate across time zones, supported by AI and distributed teams that follow the sun. Work doesn’t stop, even when leaders do. The result is faster execution, higher output, a

In this episode of The AI Grapple, Kate vanderVoort is joined by Sarah Daly (founder AI360 Review), AI Strategist and Researcher, to explore what’s really holding organisations back from successful AI adoption. Rather than focusing on tools or trends, this conversation goes deep into trust, leadership responsibility, workforce impact, and the human systems that determine whether AI succeeds or fails at scale. Sarah brings insights from six years of doctoral research into trust in AI at work, alongside her enterprise experience advising boards and senior leaders. Together, Kate and Sarah unpack why AI is not a technology problem, why people are already trusting AI more than they realise, and what organisations must do to navigate disruption honestly and responsibly. Key Topics Covered 1. Why Trust Is the Real Issue in AI Adoption Sarah explains that while public narratives focus on distrust, people are already placing deep trust in AI, often without realising it. From sharing personal information with AI tools to relying on outputs without verification, trust is already present but poorly calibrated. The challenge for organisations is not whether people trust AI, but whether they trust it in the right ways. 2. The Human Foundations of AI Performance At AI360Review, Sarah’s work begins with people, not platforms. She shares why technology is often easier to control than human systems, and how trust can be deliberately designed through environment, leadership behaviour, and culture. When the right conditions exist, even AI sceptics can become strong advocates. 3. Strategy Before Tools Rather than positioning AI as the strategy, Sarah argues it must support existing organisational goals. The starting point is always the problem being solved and the value being created. From there, organisations must consider governance, capability building, culture, education, innovation processes, and fit-for-purpose technology. This approach is formalised in the AI360 framework, which assesses AI readiness across six organisational dimensions. 4. Leadership, Governance, and Risk A recurring theme in the conversation is leadership clarity. When leaders lack confidence or avoid decisions, teams work around restrictions, often using AI in uncontrolled ways. Sarah reframes AI risk as a management issue, not a binary decision, and stresses that strong governance enables experimentation rather than shutting it down. 5. Australia’s AI Sentiment and the National AI Plan Kate and Sarah discuss Australia’s low trust levels in AI compared to global peers, particularly in the workplace. Sarah shares why enterprise sentiment varies widely depending on enablement and leadership support. They also explore Australia’s national AI plan, with Sarah supporting the decision to embed AI governance within existing regulatory structures rather than creating new bodies. 6. AI as a Thinking Partner The conversation shifts to how AI is changing how people think, write, and make decisions. Sarah highlights the difference between using AI as a creative partner versus outsourcing thinking entirely. Kate introduces discernment and personal responsibility as essential skills in the age of AI, especially given how readily people believe AI-generated outputs. 7. Workforce Impact and Difficult Conversations One of the most powerful sections of the episode focuses on workforce disruption. Sarah speaks candidly about automation, role changes, and job loss, and why avoiding these conversations damages trust. She advocates for transparency, agency, and AI literacy so employees can create value for their organisation and their future careers. 8. Consumer Backlash and Lessons from Early Movers Sarah shares lessons from organisations that moved too fast without accountability, including well-known AI failures. These examples show why companies must own AI-driven decisions, test rigorously, and protect customer experience. Second movers, particularly in Australia, have the advantage of learning from these mistakes. 9. Transparency and Ethical Use of AI The episode explores whether organisations should disclose AI use publicly. Sarah explains how expectations shift when AI becomes embedded in everyday work, while stressing that transparency around customer data, privacy, and protection remains essential. Over time, AI disclosures may become as standard as privacy policies. 10. A Human-Centred Case Study: IKEA Sarah shares an inspiring example from IKEA, where AI voice tools were introduced into call centres. Instead of job losses, staff were retrained as in-store interior designers, expanding customer experience and creating transferable skills for employees. This case shows what’s possible when organisations lead with people, not fear. 11. What the Future Could Look Like Looking ahead, Sarah remains optimistic. While human drivers like autonomy, mastery, and purpose remain constant, AI has the potential to reshape how people work, think, and create meaning. Used well

In this episode, Kate vanderVoort, CEO, AI Success Lab, sits down with Davis DeRodes, Head of Data Science Innovation at Fusion Risk Management, for a clear and practical look at the role data plays in business resilience. Davis has a rare gift for breaking down technical concepts, helping leaders understand how better data, smarter systems and simple planning can protect organisations from disruption. Davis explains why resilience is no longer just an enterprise issue and shares tangible steps small to medium businesses can take right now to prepare for the rapid change AI is bringing. They talk about AI-generated scenarios, data simulations, model transparency, synthetic data, employee-facing agents and how organisations can approach data in ways that set them up for long-term stability. This episode is perfect for leaders who want a grounded understanding of how data supports smart decisions, resilient systems and confident use of AI. Key Themes What enterprise resilience really means and why every organisation now needs it How AI-generated scenarios work and why they outperform traditional tabletop exercises The difference between data science and decision science How small and medium businesses can transform their data into a resilience asset The role of structured vs unstructured data in an AI-driven world What model context protocol (MCP) means for how AI accesses business systems Practical steps for leaders to strengthen resilience today Future trends in data collaboration, governance and synthetic data Why the “business brain” approach gives companies more control What work looks like when AI becomes a close collaborator Insights Data science vs decision science Davis explains the distinction in a way that helps non-technical leaders understand what data is actually for in a business and why waiting for perfect accuracy can slow teams down. AI-generated scenarios He walks through how Fusion uses AI to create highly tailored disruption scenarios that expose weak points organisations would never have spotted on their own. Monte Carlo simulations Davis describes modern simulation techniques that replace slow, expensive tabletop exercises with fast, repeatable, data-driven insights. Resilience for smaller businesses He outlines simple, accessible steps any organisation can take to strengthen resilience, including mapping revenue drivers, centralising key data, and understanding dependencies. Data governance as a superpower Why businesses that invest early in clean, structured data gain massive efficiency later. Synthetic data, future risks and the pollution of the internet A thoughtful conversation on how AI trains itself, the risks of AI training on AI, and why high-quality walled-off data sources will become even more valuable. AI as an employee How organisations will soon handle agents just like staff members, including permissions, access and responsibilities. Links Mentioned LinkedIn – Davis DeRodes https://www.linkedin.com/in/davis-derodes/ Fusion Risk Management https://www.fusionrm.com/ Kaggle synthetic datasets https://www.kaggle.com/datasets Google AI Studio https://aistudio.google.com/ If you enjoyed this episode, share it with a colleague who needs practical clarity on AI and data. Subscribe to The AI Grapple on your favourite podcast platform so you never miss an episode.

In this episode of The AI Grapple, Kate VanderVoort (Founder of the AI Success Lab) is joined by sustainability author, consultant, and speaker John Pabon to explore one of the most pressing and uncomfortable questions facing AI adoption today: its impact on the environment, trust, and society. With more than 20 years working across public policy, consulting, and sustainability strategy, John brings a calm, pragmatic voice to a conversation often dominated by fear or hype. Together, Kate and John unpack what businesses actually need to consider as AI becomes embedded into operations, reporting, and decision-making. Meet the Guest: John Pabon John Pabon is a sustainability expert with a background spanning the United Nations, McKinsey, AC Nielsen, and a decade living and working in China. He is the author of Sustainability for the Rest of Us: Your No BS 5 Point Plan for Saving the Planet* and is widely known as Australia’s only independent greenwashing expert. John works with organisations to move sustainability out of marketing spin and into real, strategic action, with a strong focus on transparency, governance, and trust. The Environmental Impact of AI: What We Know and What We Don’t One of the most common concerns Kate hears in AI training sessions is about energy use, data centres, and AI’s carbon and water footprint. John explains why these concerns are valid, particularly when it comes to the rapid expansion of data centres and the resources required to cool them. At the same time, he cautions against alarmist thinking. AI’s environmental impact is still being measured in different ways, and the technology is evolving quickly. The bigger challenge right now is uncertainty — and the pressure on companies to scale AI fast while still meeting sustainability targets. Sustainability Is More Than the Environment A key theme in the conversation is that sustainability is not just about emissions or energy use. John emphasises the importance of the social and governance sides of sustainability, especially as AI becomes more influential in reporting, decision-making, and communication. From fabricated reports to unverified claims, AI introduces new risks when expertise is missing. This is where governance, oversight, and what Kate calls “expert in the loop” become critical to avoid misinformation and reputational damage. Greenwashing, Greenhushing, and AI John breaks down greenwashing in simple terms: when organisations use the language of sustainability without the substance to support it. He explains why AI creates fresh opportunities for greenwashing, particularly when companies make vague or exaggerated claims about “responsible” or “sustainable” AI without evidence. The conversation also introduces the idea of greenhushing — when companies say nothing at all out of fear of getting it wrong. John argues that silence erodes trust just as much as misleading claims, and that openness, honesty, and progress matter more than perfection. Can AI Support Sustainability Instead of Undermining It? Despite the risks, John is clear that AI also holds real promise. From supply chain traceability to emissions reporting, AI can help businesses understand what is actually happening inside their operations — especially where sustainability impacts have traditionally been hard to measure. Used well, AI can support better decision-making, reduce inefficiencies, and help organisations focus on what truly matters rather than chasing trends. Trust, Transparency, and Consumer Backlash As public awareness of AI grows, Kate and John discuss the very real possibility of consumer backlash, particularly when AI use conflicts with a company’s stated values. John stresses that trust is built through transparency — explaining not just what a company is doing with AI, but why. People don’t expect organisations to have all the answers. They do expect honesty, clarity, and a willingness to take responsibility. Regulation, Education, and Personal Responsibility The episode also explores the uneven global approach to AI regulation, from Europe’s safety-first stance to America’s innovation push. John and Kate agree that education has not kept pace with adoption, leaving many people unsure how to use AI responsibly. John shares how he personally uses AI as a thinking partner in his consulting work, while remaining cautious about outsourcing expertise or creative judgement. Both emphasise personal responsibility — how individuals and organisations choose to engage with AI matters. A Hopeful Look Ahead The episode closes on an optimistic note. John shares his vision of a future where sustainability is so embedded into business that every purchase becomes sustainable by default. In that future, AI plays a supporting role — helping organisations get there faster and more effectively, without leaving people behind. Connect with John Pabon To learn more about John’s work, visit https://www.johnpabon.com Social Media Links: TikTok/Instagram: @johnapab

In this episode, Kate vanderVoort (Founder and CEO at the AI Success Lab) speaks with futurist, author and technologist David Espindola, founder of Brainyus and author of Soulful: You in the Future of Artificial Intelligence. With more than 30 years in the tech industry, David has guided organisations through major waves of disruption. His work now focuses on human and AI collaboration, ethical adoption and how businesses can prepare for rapid change. What We Cover David’s AI journey David shares how his early work in technology set the stage for exploring AI long before it hit the mainstream. He explains the shift from AI being an academic topic to something every industry now has to face head-on. His first book, The Exponential Era, explored the convergence of fast-growing technologies, with AI standing out as the most powerful force shaping business and society. Why AI is different from past technology waves While tech change isn’t new, the speed and scale of AI is. David highlights how robotics, quantum computing and AI are blending, creating a level of disruption few leaders are ready for. The Maker, Shaper, Taker model David breaks down one of the most practical strategic models in this space: Makers build frontier AI models. Shapers fine-tune models on their own data and culture. Takers use AI built into existing tools. Most businesses don’t even realise these options exist. The conversation explores how smaller organisations can gain an advantage by choosing their place in this model with intention. The human side of AI adoption Kate and David dig into the fear, uncertainty and culture challenges that show up inside organisations. David shares how one client used an AI champion, clear policies and structured training to build confidence, capability and responsible use. He stresses the importance of trust, transparency and honest conversations about job changes. Workforce changes and agentic AI David discusses the shift ahead as agentic AI becomes part of everyday workflows. With half of entry-level roles at risk, he talks through the long-term impact on talent pipelines and how leaders should prepare their people now. Education’s turning point Both Kate and David explore the role of AI in learning and how personalised tutoring could transform the way people develop skills. They look at why bans don’t work, how critical thinking becomes even more important and what students need in order to thrive in an AI-driven world. David’s podcast and working with Zena, his AI colleague David shares the story behind his podcast Conversations with Zena and what happened when he trained an AI agent on his books, writing, values and language. He talks through the challenges of three-way conversations with AI, how context shapes quality and the surprising moments where Zena raised questions he didn’t expect. Global AI ethics, regulation and the geopolitical tension ahead The discussion covers the EU’s AI Act, US innovation, China’s influence and the need for shared approaches to safety, human rights and access. What’s possible if we get this right David closes with an optimistic view of what AI could unlock: abundance, less manual work, more meaningful creativity, and more time for humans to grow, reflect and connect. He also speaks to the risks and the need for strong global safeguards. Links and Resources David Espindola’s Website: davidespindola.com Brainyus: brainyus.com Book: Soulful: You in the Future of Artificial Intelligence Podcast: Conversations with Zena, My AI Colleague Connect with David LinkedIn: https://www.linkedin.com/in/davidespindola/ Instagram: https://www.instagram.com/despindola23/ X: https://twitter.com/despindola23 YouTube: https://www.youtube.com/@despindola23 Connect with Kate at the AI Success Lab AI Success Lab AI Success Lab Facebook Community LinkedIn

In this episode of The AI Grapple, Kate vanderVoort speaks with Amy D. Love – founder of the international movement Discovering AI and best-selling author of Raising Entrepreneurs and Discovering AI: A Parent’s Guide to Raising Future-Ready Kids. A former Fortune 500 Chief Marketing Officer and Harvard MBA, Amy has turned her focus to helping families prepare their children for life and success in the age of AI. Amy and Kate dive into why families – not just schools or governments – are critical to AI readiness. They explore the need for practical, values-led guidance in navigating AI with kids and discuss how the FAMILY AI GAME PLAN is empowering parents to raise children who are not only aware of AI, but equipped to thrive alongside it. This episode is packed with practical strategies, real-life anecdotes, and thoughtful reframes that challenge the way we think about parenting, education, and technology. What We Cover: Why families are the frontline of AI education The vision behind Discovering AI and Amy’s shift from tech exec to children’s advocate Moving from fear to confidence as a parent in the age of AI A walkthrough of the FAMILY AI GAME PLAN – and how any family can use it “Create more, consume less” – why this mantra matters now more than ever The hidden risks of leaving AI education solely to schools or governments Real-life family AI activities that promote creativity, ethics and digital literacy What’s possible if every family gets this right in a single generation About Amy D. Love: Amy D. Love is the founder of Discovering AI, an international movement helping families prepare children to thrive in an AI-powered world. With a background as a Fortune 500 CMO and a Harvard MBA, Amy has advised AI leaders and policymakers on aligning tech with human values. She is the author of the best-selling Raising Entrepreneurs and the newly released Discovering AI. Her signature FAMILY AI GAME PLAN offers parents a practical framework to guide children’s use of AI with confidence, creativity and care. Resources and Links: Website: www.discoveringai.org www.discoveringai.com Books: Raising Entrepreneurs – Available on Amazon Discovering AI: A Parent’s Guide to Raising Future-Ready Kids – Available on Amazon Free resources, MindSpark activities and the FAMILY AI GAME PLAN available on the Discovering AI website Connect with Kate: Website: www.aisuccesslab.com LinkedIn: Kate vanderVoort Subscribe & Review: If you enjoyed this episode, please subscribe, rate and leave a review on your favourite podcast platform. Share this episode with a fellow parent or educator who’s navigating the world of AI with kids.

In this episode, Kate vanderVoort, Founder of the AI Success Lab, speaks with Neil Tunnah - former elite rugby coach, global leadership consultant and founder of The Performance Chain Group. Neil works with organisations across Australia and North America to help leaders build behavioural consistency, navigate uncertain environments and guide their people through rapid AI-driven change. Neil brings grounded thinking and honest reflection to some of the biggest leadership challenges of this moment. Together, we explore why clarity is the currency of trust, how fear spreads when leaders avoid hard conversations, and why AI won’t replace good leaders but will absolutely expose the weak ones. He also shares lessons from elite sport on resilience, habit-building and culture that apply directly to today’s workplaces. The discussion moves through strategy, psychology, culture and the realities facing teams on the ground. Neil also speaks openly about raising kids in this era and what the future of learning could look like with AI in the mix. What We Cover: How AI is disrupting leadership and why behavioural consistency matters more than ever Why many leaders are confused about AI strategy - and how that confusion cascades through organisations Creating clarity when the truth is that leaders don’t have all the answers yet The danger of top-down AI strategies that ignore frontline experience Human friction points organisations keep missing when adopting AI The cultural gaps that stop AI projects from gaining traction Fear, job security and why avoidance only increases anxiety Lessons from elite sport that shape how leaders can develop resilience and habits that actually stick How AI can enhance coaching, development and performance conversations Why the future of learning needs to shift away from memorising and towards real personalised development Raising children during an AI-driven transformation and building the foundations they’ll need What the “re-engineering” of workplaces and society might look like over the next few years Guest Bio: Neil Tunnah is a former elite rugby coach turned global leadership consultant and founder of The Performance Chain Group. He helps organisations across Australia and North America navigate change, embed behavioural consistency and lead well in an AI-shaped world. Known for a no-fluff approach to people and performance, Neil works at the intersection of culture, behaviour and leadership. He’s also a dad of two, a gym regular and still deeply connected to the rugby community. Connect with Neil: LinkedIn: https://www.linkedin.com/in/neil-tunnah-0a2071122/ The Performance Chain Group Listen & Subscribe: If you’re a leader, marketer or business professional wanting to understand how to navigate the human side of AI adoption, this episode offers timely, grounded guidance. Listen on your favourite podcast platform and follow the show for future conversations on practical AI in business.

Australia is racing ahead with AI, but not everyone is getting a fair start. In this episode of The AI Grapple Podcast, Kate vanderVoort sits down with Doug Taylor to unpack the reality facing young people who are being pushed further to the edges of opportunity because they can’t get online. Doug leads The Smith Family, one of Australia’s most trusted charities supporting students from low-income backgrounds. He brings a clear view of what digital access really looks like on the ground, why the divide is widening, and how AI could strengthen or break the pathways young Australians rely on. Across this conversation, Kate and Doug explore the true cost of digital exclusion, the pressure on families, and the tough choices schools, parents and organisations are facing as AI sweeps through education, work and daily life. Doug also opens up about the leadership approach needed to guide teams through rapid change while protecting the people who rely on them most. What We Cover in This Episode How digital exclusion is affecting young Australians right now Why AI literacy is becoming essential for future jobs The impact on students who lack a device or stable internet at home What The Smith Family is doing to close the gap, including AI-enabled tutoring How frontline workers are using digital assistants to support families The privacy, safety and bias risks organisations need to plan for Why trust, empathy and human judgement still matter in AI-enabled work Doug’s hopes for a future where AI helps reduce inequality rather than deepen it Why This Conversation Matters Digital access is no longer optional. It shapes education, work and connection, and its absence cuts young people off from the very tools they need to build their future. As marketers, business leaders and technologists move quickly to adopt AI, Doug’s message is a vital reminder: progress only counts if it includes everyone. This episode gives you a grounded look at the real issues behind AI adoption and a strong sense of the responsibility we share in ensuring technology lifts people up rather than locking them out. About Doug Taylor Doug Taylor is the CEO of The Smith Family, a 103-year-old organisation working to break the cycle of educational inequality in Australia. He brings decades of experience in the not-for-profit sector and is a national voice on digital access, education and community wellbeing. Links and Resources Support The Smith Family’s Christmas Appeal: thesmithfamily.com.au Connect with Doug on LinkedIn Follow Kate on LinkedIn for updates and AI training Join the free AI Success Lab for more AI updates and skills Listen and Subscribe If you enjoy the episode, share it with someone working in education, technology or community impact. Your support helps more people join the conversation about building an AI-enabled future that works for everyone.

Artificial intelligence is advancing faster than our ability to regulate it, understand it, or even decide how much we trust it. In this deeply insightful episode of The AI Grapple, host Kate vanderVoort sits down with Darren Menachemson, Chief Ethicist and Head of AI and Digital Societies at ThinkPlace, and Chair of the Education Futures Foundation, to explore what it really takes to create a future where technology serves humanity — not the other way around. Darren’s journey is as fascinating as it is relevant. From growing up in apartheid South Africa and witnessing systemic injustice first-hand, to leading global initiatives in ethics, governance, and human-centred design, his story offers a powerful lens through which to view AI’s moral and social implications. Together, Kate and Darren discuss how ethics, compassion, and discernment must guide the next wave of AI innovation. They unpack what “trust” in AI truly means, how governments and institutions can balance regulation with innovation, and why young people might already be the best equipped to envision a responsible AI future. 🧭 Key Themes & Insights Trust and Accountability in AI: How can societies build confidence in AI systems that are shaping our daily lives and decision-making? Ethics and Alignment: What does it mean for technology to align with human values, and how can governments, organisations, and individuals ensure that happens? The Compassion Gap: Darren’s national research reveals why Australians still see AI as less compassionate than humans — and why empathy may be our most important competitive advantage. Regulation vs Innovation: How can we design guardrails that keep AI safe and fair without stifling progress and discovery? Bias and Fairness: Real-world examples of AI perpetuating social inequities - and how we can use AI itself to identify and correct those biases. Human-Centred Design for the Digital Age: Why design thinking, ethics, and leadership training must evolve together to create a fairer digital society. 🧠 About Darren Menachemson Darren Menachemson is Chief Ethicist and Head of AI and Digital Societies at ThinkPlace - a global public good consultancy working with governments, NGOs, and industry to design ethical systems that improve lives. He also chairs the Education Futures Foundation, a not-for-profit organisation dedicated to preparing young people to become the ethical leaders of tomorrow. A pioneer in the intersection of ethics, design, and technology, Darren has advised public sector leaders worldwide on how to align AI development with societal values. His work spans regulatory reform, social innovation, and future-focused education, helping communities adapt to the age of intelligent technology. Connect with Darren: 🌐 ThinkPlace 💼 LinkedIn 🔗 Connect with Kate 🌐 AI Success Lab 🎧 The AI Grapple Podcast 💼 LinkedIn – Kate vanderVoort

In this profound and thought-provoking conversation, Kate vanderVoort (founder of the AI Success Lab) sits down with Jeff Burningham - tech entrepreneur, venture capitalist, and author of The Last Book Written by a Human: Becoming Wise in the Age of AI. Jeff has built and invested in companies worth over $5 billion, co-founded Peak Capital Partners and Peak Ventures, and even ran for Governor of Utah. But today, he’s turning his attention to a far deeper question: As machines become smarter, how do we become wiser? This episode explores how technology, entrepreneurship, and spirituality intersect - and why the future of AI isn’t a technological problem but a human challenge. Kate and Jeff unpack what it means to “rehumanise” business, how to bring consciousness into capitalism, and why our next evolution as leaders, parents, and humans depends on our ability to choose wisdom over speed, and connection over control. You can connect with Jeff at: www.jeffburningham.com www.peakcapitalpartners.com Social Media Links @jeffburningham everywhere Learn more at www.aisuccesslab.com Watch more interviews: YouTube/@AISuccessLab Join the AI Success Lab Elite Membership for practical, human-centred AI training.

In this episode of The AI Grapple, Kate vanderVoort is joined by Dr Kyle Elliott, a career coach to tech executives and founder of CaffeinatedKyle.com. From humble beginnings offering £5 CV reviews on Fiverr to coaching leaders into top roles at Meta, Google and Amazon, Kyle shares what’s really happening in the job market - and how AI is shifting everything from CVs to C-suite expectations. Whether you’re a job seeker, business leader or simply watching the AI wave roll in, this episode delivers grounded, practical advice to help you stay relevant, empowered and ahead of the curve. What We Cover: 👉 Why middle management is most at risk - and what to do about it Kyle shares what he's seeing across his client base: mid-level roles are often being consolidated or automated. It’s not about roles disappearing completely, but shifting into jobs that involve managing AI-powered processes instead of performing tasks manually. He explains how professionals can identify emerging opportunities and pivot early. 👉 The AI tools job seekers should be using now (and how to train them) AI isn’t magic - it only knows what you give it. Kyle explains how his clients use tools like ChatGPT to write CVs, simulate interviews and even explore new career paths. But success depends on input: the better the data you provide (like performance reviews or personal profiles), the better the output AI delivers. 👉 How AI is changing executive-level hiring and job strategy Even at the top, AI is having an impact. Kyle explains how senior leaders are being assessed differently, what they’re worried about, and how they're learning to talk about AI in ways that show leadership, not fear. It’s about knowing when to use AI - and when to lean on your human skills. 👉 The emotional side of job searching in the age of automation Being made redundant or feeling threatened by change brings real emotional challenges. Kyle talks about the role of mindset coaching and shares an example of a custom GPT built to motivate and coach a client through job hunting - including cheering them on when things got tough. 👉 Why the best AI results come from knowing yourself better To get personalised, useful help from AI, you have to start with self-awareness. Kyle talks about the importance of building a “professional me” document - a profile of your background, skills, preferences and values - that can train AI to reflect who you really are and what you need next in your career. 🔗 Connect with Dr Kyle Elliott: Website: CaffeinatedKyle.com LinkedIn: Dr Kyle Elliott 👍 Like what you heard? Subscribe to The AI Grapple on your favourite platform and leave us a rating or review. It really helps others find the show. 🎧 Listen now → www.aigrapple.com 💬 Join the conversation: AI Success Lab Facebook Group

In this episode of The AI Grapple, Kate vanderVoort is joined by Simon Yencken, Founder and CEO of Fanplayr. What if you could deliver hyper-personalised experiences that delight customers without creeping them out? Simon is a true pioneer at the intersection of AI, behavioural data, and e-commerce. His career has taken him from global finance and SaaS to founding Fanplayr, a company that's helping brands deliver smarter, faster, privacy-respecting customer experiences. We dig into how AI is reshaping e-commerce, why privacy-first strategies are critical for survival, and what the future holds for businesses brave enough to embrace the next wave of AI innovation. If you’re in marketing, business, or tech — this is an episode you won't want to miss. 🎯 Key Highlights ✔️ Simon's Journey to Fanplayr From legal partner in Australia, to global finance at Reuters, through the dot-com boom, SaaS success stories — and finally founding Fanplayr to bring real-time optimisation to e-commerce. ✔️ What Fanplayr Actually Does Using patented segmentation technology and AI-driven personalization to enhance customer experiences, increase conversion rates, and boost lifetime value — all built on first-party data. ✔️ The Rise of Privacy-First Personalisation Simon explains how Fanplayr helps businesses move beyond third-party cookies, using tools like Privacy ID to comply with GDPR and still deliver tailored experiences. ✔️ How AI is Revolutionising Online Merchandising Beyond basic recommendations, Fanplayr’s AI matches users with exactly what they want — even before they know they want it — using machine learning and personalisation engines. ✔️ The "Creepiness" Factor We discuss how to personalise without feeling intrusive — and why transparency and trust will define the next decade of online customer relationships. ✔️ Regional Differences: US vs Europe Simon shares why privacy regulations are tougher in Europe, and how businesses are adapting differently in the US and UK markets. ✔️ ChatGPT, Hype vs Reality Simon shares his take on large language models like ChatGPT, and why the future of AI won't be one single exponential curve — but rather a series of powerful "S-curves" as new breakthroughs emerge. ✔️ AI’s Impact on SaaS and Business Models Why the SaaS pricing and licensing world is ripe for disruption — and how traditional tech giants will have to evolve or risk being left behind. ✔️ Avoiding the AI Bubble Simon warns about the huge number of AI startups building on shaky ground — and shares why sustainable innovation will be what separates winners from losers. ✔️ What Excites Simon About the Future AI is at the start of a genuine tech revolution — and it’s opening opportunities that are bigger and more exciting than anything since the rise of the internet. 📌 Connect with Simon Yencken: Visit Fanplayr.com: Learn more about Simon’s company and solutions. Connect with Fanplayr on LinkedIn Know a someone who needs to hear this? Share this episode with a friend, team member, or mentor who’s ready to embrace AI and lead with clarity. 👍 Like what you heard? Subscribe to The AI Grapple on your favourite platform and leave us a rating or review. It really helps others find the show. 🎧 Listen now → www.aigrapple.com 💬 Join the conversation: AI Success Lab Facebook Group

In this episode of The AI Grapple, Kate vanderVoort is joined by Dr Alessandra Wall - psychologist, leadership strategist, and founder of Noteworthy - to explore how AI can help women reshape their careers instead of fearing job loss. Alessandra works with high-performing women in tech who are often juggling expectations, under-recognised achievements, and the ever-growing mental load. This conversation digs into what’s holding women back in AI and tech, the biases baked into systems, and how AI - when done right - can unlock time, ease, and leadership opportunities for women at every level. ✨ Key Highlights: ➡️ Alessandra’s career journey - from psychology to empowering women in tech Alessandra shares how growing up with ADHD shaped her drive and work ethic, and how that personal experience guided her into a career in psychology. After hitting burnout, she transitioned into coaching, now using those same therapeutic tools to support women navigating the high-stakes world of tech and leadership. ➡️ Being the only woman in the room - and why it’s still happening We unpack the systemic issues that continue to isolate women in tech and AI - from a lack of early representation to high attrition at senior levels. Alessandra shares why women are still fighting for authority, even at the top, and why the system needs more than a token fix. ➡️ Can AI reduce bias? Yes - if we train it right AI reflects the data it’s fed. Alessandra explains how recruitment tools can either reinforce bias or break it - and why the people building these systems need to prioritise diversity and allyship to get meaningful results. Garbage in, garbage out doesn’t have to be inevitable. ➡️ The invisible workload: How AI can lighten the mental load From scheduling appointments to managing family logistics, women often carry the bulk of home-life organisation. Alessandra shares how AI is already helping her - and her clients - reclaim headspace and time, freeing them up to lead more fully at work and live more fully at home. ➡️ AI isn’t just for engineers - how every woman can use it to stay competitive You don’t need a tech background to benefit from AI. Whether you’re in marketing, coaching, or finance, understanding how to use AI as a productivity and strategy tool is a major edge. Alessandra breaks down how women can upskill and support others through this transition. ➡️ Parkour and AI - yes, really! Alessandra compares learning AI to her journey into parkour at 37 - a male-dominated, intimidating space where women hesitate to jump in. Her advice? We need more women teaching women how to navigate and own these tools. The power is in mastering the basics, together. 📌 Connect with Dr Alessandra Wall: Website: https://noteworthyinc.co LinkedIn: Dr Alessandra Wall on LinkedIn Know a woman who needs to hear this? Share this episode with a friend, team member, or mentor who’s ready to embrace AI and lead with clarity. 👍 Like what you heard? Subscribe to The AI Grapple on your favourite platform and leave us a rating or review. It really helps others find the show. 🎧 Listen now → www.aigrapple.com 💬 Join the conversation: AI Success Lab Facebook Group

AI is moving at breakneck speed, and nowhere is that more evident than on the global stage. The geopolitical landscape is shifting, alliances are forming, and nations are racing to lead in this transformative era. But what does it mean for Australia? And how can businesses navigate both the risks and the opportunities? In this episode, I sit down with Jisoo Kim, Director and Co-Founder of Clear AI, to explore the human side of AI adoption, the mindset shifts organisations need to embrace, and the challenges of navigating AI’s rapid development. With a background in national security, international relations, and even a stint as a digital media adviser to former Prime Minister Scott Morrison, Jisoo brings a fascinating perspective on AI’s role in both business and global affairs. From AI safety to the complex dynamics between the US, China, and Australia, this conversation is both timely and thought-provoking. We also dive into how organisations can overcome fear, build AI literacy, and lead with curiosity in this ever-changing landscape. Note: AI evolves rapidly, and this discussion was accurate at the time of recording. Key Highlights: Jisoo’s Journey from National Security to AI Entrepreneurship Jisoo shares her fascinating career path, starting from her early interest in politics and international relations, shaped by her family's experience with the Korean War. From working as a digital media adviser to former Prime Minister Scott Morrison to serving as a policy adviser at the Department of Defence, Jisoo brings a wealth of experience to her AI advisory work. She explains how her background in national security informs her perspective on AI’s risks and opportunities. The Human Side of AI Adoption While AI is often seen as a purely technical challenge, Jisoo emphasises that successful adoption is as much about mindset and culture as it is about technology. She discusses why curiosity, psychological safety, and executive leadership are key to overcoming fear and uncertainty. Jisoo also shares stories of organisations that have empowered employees to experiment with AI and how this approach leads to greater innovation. The Geopolitical AI Landscape The competition between the US and China in AI development has far-reaching implications. Jisoo provides a clear breakdown of the ongoing semiconductor battle, the significance of the US Chips Act, and how Australia is positioned in this global race. She also highlights the importance of responsible AI development and the need for international cooperation — even as geopolitical tensions rise. AI Safety and Responsible Regulation From misinformation to surveillance concerns, Jisoo dives into the complex challenges of AI safety. She discusses why regulation often lags behind the pace of technological change and why businesses can’t afford to wait for governments to set all the rules. Instead, she advocates for proactive corporate responsibility, clear internal policies, and cross-sector collaboration. Addressing AI Fear and Misinformation Fear often prevents organisations from fully embracing AI, whether it's concerns over job loss or uncertainty about data security. Jisoo shares practical advice on how companies can approach AI adoption thoughtfully — starting small, experimenting with use cases, and ensuring employees are part of the journey. She explains why transparency and communication from leadership are critical to reducing fear and building trust. AI in Australia and Its Role on the Global Stage Jisoo highlights Australia’s unique position as a middle power with strong alliances. She explores how Australia can not only adopt AI responsibly but also support neighbouring countries through knowledge sharing and capacity building. She stresses the importance of ensuring AI benefits are distributed equitably, particularly in developing regions. Choosing and Using AI Tools Wisely In a landscape filled with rapidly evolving AI tools, Jisoo and Kate discuss their experiences using platforms like ChatGPT, Notebook LM, and Copilot. Jisoo shares her thoughts on how organisations can navigate the overwhelming number of options by focusing on practical, impactful use cases rather than chasing the latest shiny tool. The Future of AI in Business and Society Looking ahead, Jisoo predicts how AI will continue to shape industries, from education and healthcare to defence and creative fields. She also shares her hopes for more collaboration, responsible innovation, and global cooperation in AI development. This episode is packed with valuable insights for business leaders, policymakers, and anyone curious about the intersection of AI, security, and global politics. Connect with Jisoo Kim: LinkedIn: Jisoo Kim on LinkedIn Website: clearai.com.au 👍 Like what you heard? Subscribe to The AI Grapple on your favourite platform and leave us a rating or review. It really helps others find the show. 🎧 Listen now → www.aigrapple.com 💬 Join the conversation: AI Success Lab Facebook

Today, we’re tackling the profound ethical dilemmas posed by AI in military decision-making. Kate vanderVoort sits down with Jason West, a former U.S. Marine Corps officer who retired as a Lieutenant Colonel after more than a decade of service. With first hand experience participating in AI-driven war simulations and understanding how autonomous systems could be used in modern warfare, Jason brings a unique perspective to the conversation. Now the founder of Officers Eat Last and author of Leadership Development – A Blueprint for Building Your Leadership Foundation, Jason helps business leaders navigate ethical decision-making and responsible leadership — lessons drawn from both the battlefield and the boardroom. From the risks of AI making life-and-death decisions to how businesses can use AI responsibly, this conversation will challenge how you think about AI, leadership, and accountability. Tune in for a powerful discussion that will leave you thinking long after the episode ends. Key Highlights 🔎 Jason’s Dual Career Journey From finance to serving in the U.S. Marine Corps, Jason shares how his military background shaped his views on leadership and ethics. Why he founded Officers Eat Last to help business leaders apply military leadership principles in the corporate world. 🤖 AI in Warfare: The Ethical Dilemma Jason explains the concept of "human in the loop" vs. "human on the loop" decision-making and how AI is influencing military operations. Insights from his participation in AI-driven war games, simulating futuristic combat scenarios. The chilling possibility of AI making autonomous life-and-death decisions, and the need for robust ethical frameworks to prevent misuse. 🛡️ Maintaining Human Accountability The risks of removing the human element from critical decision-making processes. Jason’s belief that any AI with the potential to take lives must be governed by human oversight and clear accountability. 🏢 Responsible AI in Business Drawing from military lessons, Jason offers guidance on how companies can integrate AI responsibly. The importance of ethical leadership in ensuring AI serves humanity rather than replacing its moral responsibilities. Why leaders must consider the long-term social impact of AI-driven decisions, not just immediate profitability. 🌍 Geopolitical Implications of AI How AI is fueling a modern-day technological arms race between nations. Jason's perspective on “peer competitors” and the role of AI in defense strategy. The importance of international collaboration and regulation to prevent the misuse of AI in warfare. 🔔 The Path Forward Jason’s optimism about AI’s potential when used responsibly. Why companies should focus on upskilling their workforce rather than simply replacing jobs with AI. The importance of governance and oversight to ensure AI remains aligned with human values. Connect with Jason West Website: Officers Eat Last LinkedIn: Jason West on LinkedIn 👍 Like what you heard? Subscribe to The AI Grapple on your favourite platform and leave us a rating or review. It really helps others find the show. 🎧 Listen now → www.aigrapple.com 💬 Join the conversation: AI Success Lab Facebook Group

In this episode of The AI Grapple, Kate vanderVoort chats with Leigh Williams, Chief Information Officer at Brisbane Catholic Education, who is leading a world-first implementation of AI across a school system. With more than 13,000 staff and hundreds of locations under her care, Leigh shares how her team is bringing ethical, scalable, and deeply human-centred AI into the classroom. From cutting admin by 9 hours a week to transforming how students are supported and assessed, this is one of the most exciting real-world uses of AI we’ve seen. Leigh’s career spans teaching, executive leadership, national advisory roles, international education, and academic research. She is also a passionate advocate for early-career women in tech and has multiple postgrad qualifications in education, business, IT and leadership. Whether you’re in education, technology, a parent or leading digital change in any sector, this episode is packed with practical takeaways on how to roll out AI ethically, safely, and effectively – at scale. 🔑 Key Highlights 1. From Teacher to Tech Leader Leigh shares her journey from teaching IT and biology in classrooms to leading national transformation programs and now driving digital innovation across one of the largest education systems in Queensland. Her experience across international and domestic education gives her a unique lens on what’s possible with AI in schools. 2. How AI is Saving Teachers 9 Hours a Week Through a pilot with Microsoft Copilot, Leigh’s team measured a time saving of over nine hours per week per teacher – a full day’s work. That time is now going back into the classroom, improving teacher wellbeing and student outcomes. Leigh explains exactly how this was achieved and why it’s already attracting teachers to work at BCE. 3. Hyper-Personalised Student Learning Leigh outlines how AI tools are being used to create tailored learning pathways for every student – adjusting literacy and numeracy content in real time based on individual performance. This goes far beyond digital textbooks, offering meaningful engagement based on each student’s interests and learning style. 4. The Rome Call for AI Ethics Ethics isn’t an afterthought. Leigh walks us through how the Rome Call for AI Ethics, developed by the Vatican in partnership with Microsoft and IBM, provides the framework for every AI initiative BCE rolls out. This includes principles like inclusivity, impartiality and reliability – and how they’re applied practically in the school system. 5. Real-Time Assessment and Wellbeing Tracking From progressive reporting to emotional check-ins, AI is helping identify trends in student wellbeing and engagement. Leigh shares examples of how BCE is using AI to create more dynamic, compassionate classrooms that go far beyond traditional assessment models. 6. Shifting the Conversation: From Fear to Possibility Leigh talks about how she worked with the BCE board, staff and parents to move from caution to confidence with AI. By addressing fears head-on and sharing real data from pilots, her team created trust and momentum that made scaling AI possible. 7. What’s Next: AI, Robotics and Immersive Learning Looking to the future, Leigh shares her excitement about the next wave – combining AI with robotics, virtual reality and augmented reality to create deeper, more immersive learning experiences. Think ancient Rome in the classroom – in 3D. 📣 Connect with Leigh LinkedIn: https://www.linkedin.com/in/leigh-williams-profile/ 👍 Like what you heard? Subscribe to The AI Grapple on your favourite platform and leave us a rating or review. It really helps others find the show. 🎧 Listen now → www.aigrapple.com 💬 Join the conversation: AI Success Lab Facebook Group