The AI Opportunity

Kenny Alegbe

Welcome to The AI Opportunity Hosted by Kenny Alegbe, The AI Opportunity is where business leaders learn how to turn AI from noise into real results. Every Tuesday and Thursday, we drop new episodes – a mix of short, sharp Q&As and in-depth conversations with leaders who’ve actually put AI to work. Each episode cuts through the hype with practical, no-nonsense advice on how to bring AI into your business to grow revenue, reduce costs, and manage risk — all in under 40 minutes.

  1. AI Will Split Humanity Into 3 Types – Which One Are You? with Zac Engler

    9 APR

    AI Will Split Humanity Into 3 Types – Which One Are You? with Zac Engler

    AI isn’t just changing how we work — it’s starting to divide how people live, think, and operate. In this episode, Kenny sits down with Zac Engler, Chief AI Officer at C4 Technical Services, to explore a shift most leaders aren’t prepared for: AI is creating three types of people. Those who reject it, those who work alongside it, and those who fully integrate with it. They discuss what this divide means in practice — from rapid productivity gains and rising expectations at work, to a growing gap in individual capability. The conversation also explores the idea of a “Max-Q” moment for society, where pressure, speed, and change are all accelerating at once. As AI becomes more embedded in everyday life, the question isn’t just how you use it, but whether you choose to participate at all, or let the future be decided for you. Chapters 00:25 – Introduction to Zac Engler 01:25 – How Fortune 500s Are Actually Using AI (Crawl → Walk → Run) 03:09 – Even Experts Are Falling Behind 06:29 – “Max-Q” — The Pressure Point of This AI Moment 09:28 – Why You Need a Voice in AI’s Future 11:26 – The 4 Possible Futures of AI (Mad Max → Star Trek) 14:00 – Could AI Shift Us to a “Meaning Economy”? 16:33 – The Fragility of Society in an AI Era 20:00 – Can AI Rebalance Power in Society? 23:21 – Raising Kids in an AI World 27:00 – AI Will Split Humanity – Here’s How 30:10 – Participate or Get Left Behind Find us on socials: 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyalegbe/ 🤖 Follow Brim on LinkedIn: https://www.linkedin.com/company/joinbrim/ 📩 For business or guest inquiries: hello@joinbrim.ai

    35 min
  2. We’re Raising Kids for a World That Doesn’t Exist Yet with David Martelli

    26 MAR

    We’re Raising Kids for a World That Doesn’t Exist Yet with David Martelli

    AI is starting to change more than how we work – it’s changing how the next generation learns, thinks, and understands the world. In this episode, Kenny sits down with David Martelli (Founder of Guild Hall Learning) to explore what education looks like in a world where AI can personalise learning, create instantly, and reshape what skills actually matter. They discuss what this shift means for parents and leaders – from raising independent, self-directed learners to helping children take ownership of their development in a rapidly changing world. They unpack why memorisation is becoming less valuable, why systems thinking and adaptability are rising, and what it really takes to prepare children for a future that doesn’t yet exist. Chapters: 00:00 – Introduction to Dave Martelli & Rethinking Education 02:00 – AI as a Personal Tutor for Every Child 04:45 – Why Kids Must Take Ownership of Learning 08:20 – From Specialists to Generalists Again 09:40 – AI, Abundance, and the Future of Work 16:40 – Systems Thinking: The Skill That Matters Most 22:10 – Teaching Kids Through Real Problems 29:20 – Why Traditional Schooling Falls Short 35:00 – What Humans Do in a World Where AI Does Everything Find us on socials: 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyalegbe/ 🤖 Follow Brim on LinkedIn: https://www.linkedin.com/company/joinbrim/ 📩 For business or guest inquiries: hello@joinbrim.ai

    36 min
  3. Personalisation Without Surveillance: Can AI Understand You Without Tracking? With Ian Cook

    12 MAR

    Personalisation Without Surveillance: Can AI Understand You Without Tracking? With Ian Cook

    Personalisation has become one of the most powerful promises of AI – but it has also come with a growing cost: surveillance. From social media feeds to targeted ads, many systems rely on tracking individuals across the internet to predict what they might want next. In this episode, Kenny sits down with Ian Cook, SVP of AI Technology at Qloo, a company building AI that maps culture and taste without tracking personal data. Instead of analysing individuals, their systems study the relationships between music, restaurants, brands, travel, and entertainment to understand how human preferences connect. They discuss how AI can uncover cultural patterns without relying on personal identifiers, why recommendation systems can quietly create echo chambers, and what businesses can learn from analysing taste instead of behaviour. The conversation also explores a growing concern for parents and leaders alike: how the next generation should learn to question and think critically about the information AI and algorithms present to them. As AI becomes more embedded in everyday life, the real question isn’t just what these systems can predict – but whether we can build technology that expands curiosity, encourages critical thinking, and understands people without turning them into data products. Chapters: 00:00 – Meet Ian Cook (SVP of AI at Qloo) 01:03 – What Qloo Actually Does: Teaching AI to Understand Culture 03:27 – How AI Maps Human Taste and Preferences 08:56 – Personalisation Without Surveillance 13:09 – The Algorithm Problem: Echo Chambers and Doom Scrolling 16:46 – Parenting in the Age of AI and Social Media 19:21 – Teaching the Next Generation to Question AI 22:25 – The AGI Hype: Why So Many People Are Fearful 28:26 – Why Ignoring AI Is the Worst Strategy 31:04 – “Action Kills Anxiety” — The Best Advice for the AI Era Find us on socials: 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyalegbe/ 🤖 Follow Brim on LinkedIn: https://www.linkedin.com/company/joinbrim/ 📩 For business or guest inquiries: hello@joinbrim.ai

    32 min
  4. AI Is Moving Fast: The Decisions That Will Shape the Next Decade with Patrick Sullivan (A-LIGN)

    5 MAR

    AI Is Moving Fast: The Decisions That Will Shape the Next Decade with Patrick Sullivan (A-LIGN)

    AI adoption is moving faster than the rules designed to govern it. Companies are deploying powerful systems across finance, hiring, healthcare, and security, often before fully understanding the risks that come with them. In this episode, Kenny sits down with Patrick Sullivan, VP of Strategy and Innovation at A-LIGN working at the forefront of AI governance. Drawing on nearly three decades in IT security and risk, Patrick explains why the conversation around AI is shifting from excitement about capability to serious questions about responsibility. They discuss what regulations like the EU AI Act mean for businesses, why AI systems can develop unexpected behaviours, and how bias quietly appears in areas like hiring, credit scoring, and healthcare. As AI systems gain more autonomy, the real challenge isn’t just building them, it’s governing them. The decisions leaders make now about oversight, accountability, and risk will shape how AI evolves over the next decade. Chapters 00:00 – Introduction to Patrick Sullivan 01:40 – From Cybersecurity to AI Governance 03:06 – The EU AI Act and Why Regulation Is Rising 06:01 – Protecting Humans: Bias and Real-World 09:45 – Why People Over-Trust AI Systems 10:43 – Emergent Behaviour and the Alignment Problem 18:38 – Does Governance Slow Innovation? 22:48 – The Politics of AI Regulation 24:50 – AI Literacy and the Next Generation 31:20 – The Real Opportunity in AI Governance Find us on socials: 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyalegbe/ 🤖 Follow Brim on LinkedIn: https://www.linkedin.com/company/joinbrim/ 📩 For business or guest inquiries: hello@joinbrim.ai

    35 min
  5. The AI Identity Crisis: Your Value Is Your Mind, Not Your Output with Diane Hammons (WG Content)

    26 FEB

    The AI Identity Crisis: Your Value Is Your Mind, Not Your Output with Diane Hammons (WG Content)

    When generative AI first arrived, it didn’t feel exciting for everyone. For content and marketing teams, it felt like a direct threat. In this episode, we speak with Diane Hammons, Director of Digital Engagement at WG Content, about what that moment actually looked like inside a company. She shares the fear from teams who felt first in line to be replaced, the unexpected volunteers who leaned in anyway, and the quieter truth leaders don’t always say out loud: your job might not disappear, but it won’t stay the same either. We get into the uncomfortable bits. The tasks people once took pride in mastering are now the easiest things for AI to do. That’s not just operational change, but it’s also an identity shift. We talk about the mistake of rolling out AI policies without giving people space to explore, and why adoption is far more psychological than technical. And then there’s the bigger question: if AI drafts first, summarises first, analyses first… how do junior people learn? What are humans actually left with? Judgment. Taste. Experience. This conversation leans into the human side of AI, the part that doesn’t fit neatly into a strategy deck. Chapters: 00:00 – Introduction to Diane Hammons 02:49 – Pathfinder AI: Embracing Change and Innovation 05:31 – Fear, Identity, and the First Wave of Change 08:33 – Breaking Stereotypes About Who Adopts New Technology 12:20 – When Jobs Don’t Disappear, But They Do Change 16:42 – The Leadership Dilemma: Policy vs. Permission to Experiment 21:50 – Building a Culture of Curiosity 24:50 – In the End, All We've Got is Judgment and Taste Find us on socials: 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyalegbe/ 🤖 Follow Brim on LinkedIn: https://www.linkedin.com/company/joinbrim/ 📩 For business or guest inquiries: hello@joinbrim.ai

    32 min
  6. Building Confident AI Leadership Through Executive Literacy with Allegra Guinan (Lumiera)

    22 JAN

    Building Confident AI Leadership Through Executive Literacy with Allegra Guinan (Lumiera)

    AI is moving fast, and for a lot of leaders it can feel like you’re expected to understand everything all at once. In this episode of The AI Opportunity, Kenny speaks with Allegra Guinan, Co-Founder and CTO of Lumiera, about what executives really need in order to lead well through AI change. Drawing on her background in machine learning and her work educating senior leaders, Allegra explains why executives don’t need to become AI experts to make good decisions. Instead, she shares how AI literacy, clear problem definition, and asking the right questions help leaders navigate uncertainty, avoid over-engineering, and make more grounded choices about where AI fits in their organisation. They talk about building confidence without pretending to know everything, why AI adoption works better when it starts with real problems, and why many companies discover that their first AI work is more about people, culture, and alignment than technology itself. This episode is for CEOs, COOs, CFOs, and leadership teams who want to approach AI thoughtfully, build confidence across their organisation, and move forward without rushing or guessing. Chapters 00:25 - Introduction to Allegra Guinan 02:49 - Why Executives Don’t Need to Be AI Experts 06:33 - Understanding AI Through Practical, Everyday Examples 09:01 - Starting With Real Problems, Not Technology 10:43 - What AI Readiness Actually Looks Like Inside Organizations 13:07 - A Real Executive Case Study on AI Readiness 15:40 - Why People and Culture Decide AI Success 18:30 - Bringing the Workforce Along 22:05 - Common Executive Pitfalls in AI Adoption 28:13 - Consumer AI vs Enterprise AI at Scale 30:29 - Shadow AI, Governance, and Responsible Use 32:28 - Defining Success Before Building AI 35:21 - Quick Fire Round: Where AI Creates Real Business Value Find us on socials: 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyalegbe/ 🤖 Follow Brim on LinkedIn: https://www.linkedin.com/company/joinbrim/ 📩 For business or guest inquiries: hello@joinbrim.ai

    39 min
  7. Scaling Financial Advice With AI Without Losing Trust with David Snider

    15 JAN

    Scaling Financial Advice With AI Without Losing Trust with David Snider

    AI promises to scale expertise – but in regulated, high-stakes domains like finance and tax, getting it wrong can be costly. In this episode of The AI Opportunity, Kenny sits down with David Snider, Founder & CEO of Harness, to unpack what responsible AI adoption really looks like when precision, trust, and compliance matter. David shares lessons from his career spanning Bain Capital, private equity, CFO/COO roles, and entrepreneurship – including why generic AI answers often fail in real financial contexts, how to introduce AI incrementally without scaring conservative users, and where automation genuinely creates leverage for advisors and operators. Rather than chasing shiny tools, this conversation focuses on practical workflows, clear guardrails, and keeping humans firmly in control. Chapters: 00:25 - Introduction to David Snider and Harness 02:40 - Why Harness Was Built and the Problem It Solves 04:49 - Using AI in Financial Advice Without Losing Trust 09:25 - Delivering Value to Clients Over Time 13:03 - Introducing AI in Conservative, High-Risk Industries 17:28 - Vertical AI vs General-Purpose Tools 20:07 - Data Governance, Guardrails, and Responsible AI 24:11 - Culture, Behaviour Change, and Adoption Realities 25:53 - Quick Fire Round: Practical AI Takeaways Find us on socials: 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyalegbe/ 🤖 Follow Brim on LinkedIn: https://www.linkedin.com/company/joinbrim/ 📩 For business or guest inquiries: hello@joinbrim.ai

    33 min
  8. How to Run AI Projects That Deliver Business Value with Mark Daniel Ward and Katie Sanders

    18/12/2025

    How to Run AI Projects That Deliver Business Value with Mark Daniel Ward and Katie Sanders

    Many companies know they should be investing in AI and data – but far fewer know how to run those projects well. In this episode, Kenny speaks with Mark Daniel Ward and Katie Sanders from The Data Mine at Purdue University about what business leaders need to understand before launching AI, LLM, or data-driven initiatives. Drawing on years of hands-on work with companies like Cummins and Eli Lilly, Mark and Katie break down what it takes to run AI and LLM projects that deliver real business value. They explain how to scope initiatives so they move beyond experimentation, set realistic timelines, and avoid common execution pitfalls. The conversation also covers how to structure projects with clear ownership, checkpoints, and auditability, and how leaders can recognise when a data project is ready to scale – or when it’s time to stop. For CEOs, COOs, and CFOs navigating their first or next AI project, this episode offers a grounded, execution-focused playbook for moving from experimentation to impact. Learn more about the Data Mine here: https://datamine.purdue.edu/ Chapters: 00:00 Introduction to Data Mine and Its Mission 04:09 Challenges in AI and Data for Large Enterprises 05:57 The Impact of Students in Organisations 10:12 Project Management and Business Outcomes 11:51 Diverse Projects and Applications of AI 16:18 Framework for Companies and Leaders to Start with AI 19:53 Debunking Myths About AI in Organizations 23:02 Advice for Executives on AI Projects 26:52 Final Quick Fire Questions Find us on our socials: 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyalegbe/ 🤖 Follow Brim on LinkedIn: https://www.linkedin.com/company/joinbrim/ 📩 For business or guest inquiries: hello@joinbrim.ai

    34 min

About

Welcome to The AI Opportunity Hosted by Kenny Alegbe, The AI Opportunity is where business leaders learn how to turn AI from noise into real results. Every Tuesday and Thursday, we drop new episodes – a mix of short, sharp Q&As and in-depth conversations with leaders who’ve actually put AI to work. Each episode cuts through the hype with practical, no-nonsense advice on how to bring AI into your business to grow revenue, reduce costs, and manage risk — all in under 40 minutes.