The AI Opportunity

Kenny Alegbe
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Welcome to The AI Opportunity The AI Opportunity is a podcast about how AI is changing the way leaders work, the way teams operate, and the way people live. Every episode is a real conversation with someone who has put AI to work inside a real organisation, or who has thought carefully about what AI is doing to the world outside it. Hosted by Kenny Alegbe.

  1. Prison Is Built to Fail People. AI Could Fix That. with Dr. Kim Nugent

    7月2日

    Prison Is Built to Fail People. AI Could Fix That. with Dr. Kim Nugent

    AI is reshaping the world faster than most of us can keep up with – now imagine stepping into that world after 20 years inside, with $25 in your pocket. In this episode, Kenny sits down with Dr. Kim Nugent, who has spent 30 years helping people change their lives – from university president to running rehabilitation programs in maximum security prisons – to explore one of the most hopeful and overlooked uses of AI. Kim explains why the first 72 hours after release are the hardest, and why someone incarcerated for decades can find a self-checkout or a chatbot as alien as landing on another planet. They discuss how prisons could use AI not for surveillance, but for genuinely personalised rehabilitation – matching individuals to the right programs, preparing them for the jobs waiting in their community, and supporting overstretched behavioral therapists at little to no cost. They also get into the research behind peer-led mentorship that can cut reoffending by up to 40%, the trauma almost everyone carries inside, and a simple truth Kim keeps returning to: there's a place for everyone to help. If you've only heard the doom side of AI, this conversation is the other half of the story. Chapters 00:00 – Introduction to Dr. Kim Nugent & a Life of Servant Leadership 01:22 – From Hospitality to University President to Maximum Security Prisons 03:12 – Why the First 72 Hours After Prison Are the Hardest 05:23 – Released Into an AI World You Never Saw Arrive 06:49 – Using AI Inside Prisons for Personalised Rehabilitation 09:15 – Peer-Led Mentorship and the 40% Drop in Reoffending 10:36 – AI, Behavioral Therapy, and Healing Trauma at Low Cost 15:01 – Teaching AI Skills Before Release — Even on Paper 17:20 – What Policymakers Miss, and How Anyone Can Help 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

    21 分鐘
  2. Writing Is Thinking – and AI Is Quietly Taking It Away with Dr. Linda Silbert

    6月18日

    Writing Is Thinking – and AI Is Quietly Taking It Away with Dr. Linda Silbert

    AI is starting to change more than how we work – it's changing how children learn, think, and make sense of the world. In this episode, Kenny sits down with Dr. Linda Silbert, an educational psychologist with over 30 years of experience and author of Why Good Kids Get Bad Grades, to explore what learning looks like in a world where any answer is one prompt away. Linda's view cuts against the panic. The kids using AI to cut corners, she argues, were always going to find a shortcut – the real risk is that they skip the part where thinking actually happens. They discuss why writing is thinking, why a developing brain can't yet tell the difference between using AI and cheating, and why the foundational skills of reading and writing matter more than ever. The conversation turns to how the education system and parents must respond – setting boundaries without banning the tool, keeping kids genuinely engaged rather than passively fed answers, and protecting the confidence and self-esteem that lets a child make good decisions when no one is watching. If you're a parent or a leader trying to understand what the next generation actually needs to keep developing, this one will stay with you. Chapters 00:00 – Introduction to Dr. Linda Silbert & Why Grades Mislead Parents 02:00 – 30 Years in Education and "Why Good Kids Get Bad Grades" 04:05 – The AI Cheating Panic — and Why Kids Always Find a Shortcut 07:35 – Why a 13-Year-Old's Brain Can't Tell AI From Cheating 11:38 – From Calculators to AI: What's Happening to Writing 14:05 – Writing Is Thinking: The Cursive Study Parents Should Know 16:37 – Anxiety, Engagement, and How Kids Actually Learn 21:14 – Self-Esteem and Being Your Child's Ally, Not Their Adversary 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

    26 分鐘
  3. Capitalism Might Be the Real AI Problem with Ben Byford

    5月21日

    Capitalism Might Be the Real AI Problem with Ben Byford

    AI ethics didn't exist ten years ago. Now it might be the most important conversation a business leader can have. Ben Byford has been thinking about how technology reshapes society since 2015, back when Siri and Alexa were the unsettling new thing in your living room and "machine learning" hadn't yet become "AI." A decade on, the questions he started asking haven't aged — they've sharpened. The one he keeps returning to: are we building a system AI can actually live inside, or one it's about to break? Ben is an AI ethicist, founder of the long-running Machine Ethics podcast, and a games designer who has spent years inside the structural questions most operators don't have time for. He argues the technology isn't the problem. The economic operating system around it is. Capitalism rewards centralisation, AI accelerates centralisation, and the maths of that compounding ends in one of two places. Kenny and Ben get into both of them. The Elysium future — a small group with everything, the rest of society quietly hollowed out. And the Star Trek future — a post-scarcity society organised around flourishing rather than work. They unpack why a 10% unemployment shock would break most modern democracies, why "techno sovereignty" matters more than people realise, why local communities are the missing layer between grassroots agency and the global coordination problems AI is about to surface, and why the lack of a galvanising AI moonshot is itself a strategic failure. If you're a CEO, founder, or board leader trying to think past the next quarter's AI pilots and into what the world your business operates inside actually looks like in five years, this is the conversation worth your full attention. See Ben’s Machine Ethics podcast here: https://www.machine-ethics.net/ Chapters: 00:00 — AI ethics didn't exist ten years ago. Ben built it anyway. 06:38 — Why every major tech shift has triggered a philosophical reckoning 10:12 — The structural bet: is capitalism the wrong OS for the AI era? 12:39 — The employment number that quietly breaks modern society 16:11 — "Flourishing" — what humans actually do when work disappears 21:40 — Open source AI as the only real check on centralised power 25:05 — Elysium or Star Trek: the two futures we're choosing between 27:35 — Why AI needs a moonshot — and no one is giving us one 33:28 — Techno sovereignty: when "global coordination" becomes centralisation by another name 42:18 — Community prosperity, the Machine Ethics podcast, and why Ben stays hopeful 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

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

    4月9日

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

    3月26日

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

    3月12日

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

    3月5日

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

    2月26日

    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 分鐘
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簡介

Welcome to The AI Opportunity The AI Opportunity is a podcast about how AI is changing the way leaders work, the way teams operate, and the way people live. Every episode is a real conversation with someone who has put AI to work inside a real organisation, or who has thought carefully about what AI is doing to the world outside it. Hosted by Kenny Alegbe.

資訊

  • 創作者
    Kenny Alegbe
  • 活躍年代
    2025年 - 2026年
  • 集數
    24
  • 年齡分級
    兒少適宜
  • 版權
    © Kenny Alegbe
  • 節目網站
    The AI Opportunity