Podcast
The AI Values Podcast
Hosted by Edosa Odaro & Lindley Gooden · EN
AI is reshaping every boardroom, every organisation, and every life. But who is accountable when it goes wrong?
The AI Values Podcast cuts through the noise to ask the questions leaders are not asking but should be. Hosted by Edosa Odaro, Founder of The AI Values Institute, and Lindley Gooden, Director of Strategic Dialogue, each episode explores the governance gaps, ethical blind spots, and leadership failures shaping today's most critical AI decisions.
This is not a show about technology.
It is a show about choices.
The choices leaders make.
The values organisations protect or abandon. And the human consequences that follow.
Because AI can deliver value without losing what we value most.
Make sure your subscribe to our Weekly AI Dispatch Newsletter!
10episodes
Episodes
Newest firstAll episodes
Ep. 10 | How AI Is Rewriting the Career Playbook | Amy Shi-Nash, PhD | The AI Values Podcast
6d ago00:35:02Tap to summarizeMost AI projects fail not because the technology fails, but because humans never fully integrate it into their way of working.Amy unpacks what successful AI implementation really looks like, not from the tech side, but from the human side. From boardroom tensions to culture change, career disruption to lifelong learning, this is the conversation most AI podcasts aren't having.THIS WEEK: A GUEST EPISODEOur guest is Amy Shi-Nash, Professor of AI Practice at Monash University and Co-founder & CEO of Occupy. Amy brings more than two decades of hands-on implementation experience across global commercial organisations and academia — building AI that actually changes behaviour, not just processes. She is one of a rare group of practitioners who hasseen both sides: what makes AI succeed at scale, and why the human side is the part most leaders get wrong.◼ Connect with her on LinkedIn: https://www.linkedin.com/in/amyshinash/⏰ EPISODE TIMESTAMPS:00:00 — Cold open: "AI changes the shape of work, this is bigger than they say"01:40 — Why 85–95% of AI projects fail to deliver value05:00 — Meet Amy Shi-Nash: 25 years making AI work in large organisations06:10 — What good AI implementation actually looks like (from the human side)08:40 — The junction between humans and AI: why it determines everything11:00 — From faster to different: culture change as the real measure of success13:30 — Real-world examples: users building agents, evolving the system themselves14:25 — Boardroom tensions: innovators, sceptics, literacy gaps, and time horizons17:30 — Are we ready? The readiness question every board avoids19:50 — Consequences: intended, unintended, and unevenly distributed23:00 — The literacy imperative: AI education across every role and level25:55 — Job composition change: what AI does and what humans must do27:45 — Distribution of value: how AI reshapes the organisation's shape29:00 — Flatter structures, specialist roles, fractional work, and the rise of the entrepreneur32:00 — Debrief: culture, career paths, and the age of the specialised side hustleABOUT THE AI VALUES PODCAST:The AI Values Podcast is where leaders come to think clearly about the trade-offs behind AI adoption not just the opportunities. Hosted by Edosa Odaro (author, 'The Values of AI') and Lindley Gooden (author, 'The Future of Truth'), with weekly conversations at the intersection of AI, trust, governance, and the future of work.🎙 SUBSCRIBE to The AI Values Podcast for honest, rigorous conversations at the intersection of AI ethics, AI governance, and business leadership.◼ Find out more: https://www.theaivalues.org ◼ Reach out: podcast@theaivalues.org ◼ Get the Weekly AI Values Dispatch → https://pages.theaivalues.org◼ Edosa Odaro: https://www.linkedin.com/in/edosa/◼ Lindley Gooden: https://www.linkedin.com/in/lindleygooden/
Transcribe →Ep. 9 | The Lost Language of AI Value, Nobody Speaks The Same Language | The AI Values Podcast
6d ago00:20:31Tap to summarizeOnly 15% of organisations can put a hard number on the AI value they've delivered to their board. Not a technology problem a language one. This is where AI value gets lost.In Episode 9 of The AI Values Podcast, Edosa Odaro and Lindley Gooden go head-to-head on one of the most uncomfortable diagnoses in AI leadership today: organisations aren't failing because the technology doesn't work they're failing because strategy, operations, and influence each speak a completely different dialect. And nobody is translating.🎙 THIS WEEK: A HEAD-TO-HEADNo guest. Just two hosts, one research-backed problem, and a genuine divergence of views. Edosa brings the governance and leadership accountability lens. Lindley brings the communications, storytelling, and what-he-hears-from-senior-leaders lens. They find common ground exactly once and even that took 20 minutes.📌 WHAT IS COVERED:► Why only 15% of organisations can put a hard number on the AI value delivered to their board and what the other 85% are doing instead (McKinsey)► The three languages of AI that fragment organisations: strategy, operations, and influence and why no one in the room is genuinely multilingual► What Edosa Odaro calls "the value fog": the organisational blind spot in which AI value exists but is completely invisible to the people who need to see it most► Why bad news about AI stops moving upward and why that silence is more dangerous than any technical failure: "Everyone stops talking. That is the issue."► The case for an AI translator role inside organisations — the bridge function most businesses have not hired, named, or even defined yet► Why Edosa believes CEOs should not need a PhD in AI to lead effectively and what the actual solution is, if it isn't technical education► The policy-versus-practicality disjoint: what senior leaders tell Lindley behind closed doors that AI has become disconnected from the rest of the business► Whether agentic AI systems can solve the AI communication problem — or whether the lost language of AI value is fundamentally a human failure► "Value has got to be the thing that brings everyone together and that language needs to be clear" where both hosts ultimately land, despite the disagreement► What responsible AI governance actually requires from boards: not technical depth, but translatable clarity — and the cost of getting this wrong in 2026⏰ EPISODE TIMESTAMPS:00:00 — Cold open: "The lost language of value"00:38 — Edosa and Lindley introduce the episode01:31 — The three languages of AI: strategy, operations, and influence02:17 — Why aren't organisations multilingual?03:07 — The research gap: 85% can't read the data; only 15% can report value to boards07:35 — Should organisations build an AI translator role?08:49 — Edosa introduces "the value fog" — AI value that exists but cannot be seen11:43 — The CEO PhD debate: do leaders need to become more technical?13:32 — Policy vs practicality: the AI disjoint Lindley hears from senior leaders18:22 — Value as the unifying language — where the disagreement resolves
Transcribe →Ep. 8 | Make AI Work: Stop Selling AI, Start Selling The Outcome | The AI Values Podcast
6d ago00:32:17Tap to summarizeWhat if 40% of your workforce is quietly correcting AI hallucination every single month and the productivity gain you booked never actually arrived?Edosa Odaro and Lindley Gooden sit down on Episode 8 of The AI Values Podcast with David Edam a data and AI transformation leader who has spent two decades inside some of the most operationally complex organisations on the planet — for an uncomfortable conversation about AI governance, AI risk management and the hidden work of generative AI in the enterprise. This is not the demo-day story. It is what happens after the hype dies down, the boardroom goes quiet, and someone has to make AI actually deliver value in regulated industries where mistakes have real-world consequences.THIS WEEK: A GUEST EPISODEOur guest is David Edem, a data, cloud and AI transformation leader who has worked across global oil & gas, energy infrastructure and global SaaS building production AI inside multi-billion-pound asset environments where decommissioning, safety, and engineering integrity are not theoretical. David brings the practitioner's view of what changes when AI meets operational complexity, and why "the last 10%" is the part most leaders quietly misjudge.◼ Guest LinkedIn: https://www.linkedin.com/in/david-edem/WHAT IS COVERED: ► Why AI doesn't replace work it relocates it, and the hidden work of generative AI is now showing up in every team's calendar ► The Microsoft + Workday "workslop" stat: 40% of workers correcting AI-generated errors every month, and what it really means for AI productivity in 2026 ► Inside oil & gas: how decades of engineering drawings, seismic data and well trajectories became a one-year AI project instead of a several-year, multi-million-pound rebuild ► Innovators, sceptics and the delayers nobody talks about: the third group in every boardroom that quietly kills AI decisions ► Why you should never walk into a boardroom selling AI — you walk in selling the outcome (boardroom storytelling for AI adoption) ► "AI wants you to be happy. It gives you good results and it makes stuff up." — David on AI hallucination, confidence, and why the last 10% of AI requires humans ► Efficiency vs trust: the tension every C-suite is missing, and why human in the loop is not a soft option but the only credible posture ► How the barriers to entry collapsed: the customer success manager with no technical background who became a global AI product leader in 18 months ► Why AI doesn't only replace work it creates work that wouldn't have existed (David's own counter-example to the displacement narrative) ► A practical framing for responsible AI in regulated industries: data quality, human oversight, and the AI value extraction question every board should ask⏰ EPISODE TIMESTAMPS: 00:00 — Cold open: "AI wants you to be happy" — and it makes stuff up 01:30 — Microsoft's 40%: workers are fixing AI every month (the workslop problem) 04:50 — Meet David Edem: AI inside operationally complex industries 07:10 — Oil & gas, decommissioning, and AI as a shortcut to value 11:40 — Innovators, sceptics — and the delayers nobody talks about 14:00 — Don't sell the AI, sell the outcome — the storytelling gap 16:20 — Hallucination and confidence: why the last 10% needs humans 21:10 — Barriers collapse: from no-code customer success to AI product leader 26:00 — AI doesn't replace work — it creates work that didn't exist 28:20 — Debrief: storytelling, delayers, and what's really at stake
Transcribe →Ep. 7 | Agentic AI Rewrites Your Whole Business | The AI Values Podcast
4w ago00:13:02Tap to summarizeWhat if 40% of agentic AI projects are already heading for failure and the first warning sign isn't an error. Instead, it is tension?Edosa Odaro and Lindley Gooden go head-to-head on Episode 7 of The AI Values Podcast for the most uncomfortable conversation we've had yet on agentic AI in the enterprise the over-optimisation trap, the human capacity gap, and the one analogy every C-suite needs before bringing AI agents into the business.WHAT IS COVERED: ► Why agentic AI is like bringing George Clooney into a movie the new-actor analogy that explains why AI agents change the whole system, not just a workflow ► Why the first thing agentic AI delivers isn't value it is tension, friction, and the human cost of misaligned speed ► Agentic AI over-optimisation: the 2:30am warehouse moment when the AI didn't fail it worked too well ► Misalignment vs malfunction: the governance distinction every C-suite is missing about agentic AI risks ► Why agentic AI doesn't work in isolation it works inside an ecosystem of humans, processes, and pace ► The trade-off problem: what your AI is optimising against, and the value quietly leaving the building ► AI value vs values: the one question every board should ask before signing the next agentic AI budget line ► Why "trust forward, verify always" is the only credible posture for AI agents in business ► AI agents and workforce transformation what the "we'll just retrain them into data scientists" story really hides ► A practical C-suite guide to preparing your business for agentic AI before the friction shows up⏰ EPISODE TIMESTAMPS: 0:00 — Cold Open: Agentic AI Is the New Actor in Your Movie0:35 — Bringing AI Agents Into Your Business: Why a Tool Mindset Breaks2:09 — If It's Transformative, How? Why Tension Shows Up Before Value 4:35 — The 2:30am Warehouse: When the Agent Runs Faster Than Its Humans 6:40 — Trust, Verify, Communicate: The Honest Conversation Agentic AI Demands 9:04 — Tension and Trade-Offs: The Two Things Every Agentic System Brings 11:10 — Value vs Values: The Real Question Every Board Should Be Asking 12:20 — Stay in the Conversation: How to Get Involved
Transcribe →
Ep. 6 | Why AI Projects Really Fail | Graeme McDermott | The AI Values Podcast
May 700:34:16Tap to summarizeWhat if 95% of AI projects aren't really failing and the actual problem is that no one defined what success looked like in the first place?Graeme McDermott, Chief Data Officer at Tempcover, with two decades leading data and analytics functions across the AA, Addison Lee and Tempcover joins Edosa Odaro and Lindley Gooden on Episode 6 of The AI Values Podcast for one of our most pragmatic boardroom-level conversations to date. On AI accountability, the rise of "AI told me" decision-making, and what really happens to graduate jobs when companies cut their next generation of leaders to fund the LLM bill.Graeme unpacks why every C-suite is quoting the same 85–95% AI failure stat and why most of that "failure" is actually a definition-of-success and data-foundations problem, not a technology problem. Bad questions have no context. Lazy AI use, trains lazy thinking. And cutting the entry-level rung doesn't save money it deletes your future bench.WHAT WE COVER:► Why 95% of AI projects "fail" and the leadership reframe (you didn't define success)► "This is correct because ChatGPT said so" when AI becomes the decision► Bad questions have no context the prompting skill C-suites are skipping►AI accountability in the boardroom: who is for it, who is resisting, who is responsible►Cognitive offloading the MIT research on why AI users disengage their brains►Entry-level collapse: the 25% drop in UK graduate jobs and the bench-strength crisis►Apprenticeships, electricians, and rebuilding the skills ladder for the AI era►What every board should take away, one thing the C-suite must own⏰ EPISODE TIMESTAMPS: 00:00 — Cold open & welcome06:40 — Excited or concerned? An insider's view of AI today (Graeme McDermott)10:49 — "AI told me" when ChatGPT becomes the cited authority13:54 — Trust, prompts, and the AI-lazy five-word problem17:00 — Why 85–95% of AI projects "fail" and what success actually means22:40 — The boardroom: who's for AI, who's resisting, who's accountable27:45 — One thing every board should take away learn a trade30:15 — Debrief & sign-offABOUT THE AI VALUES PODCAST:The AI Values Podcast is where leaders come to think clearly about the trade-offs behind AI adoption not just the opportunities. Hosted by Edosa Odaro (author, 'The Values of AI') and Lindley Gooden (author, 'The Future of Truth'), with weekly conversations at the intersection of AI, trust, governance, and the future of work.🎙 SUBSCRIBE to The AI Values Podcast for honest, rigorous conversations at the intersection of AI ethics, AI governance, and business leadership.◼ Find out more: https://www.theaivalues.org ◼ Reach out: podcast@theaivalues.org ◼ Get the Weekly AI Values Dispatch → https://pages.theaivalues.org◼ Edosa Odaro: https://www.linkedin.com/in/edosa/◼ Lindley Gooden: https://www.linkedin.com/in/lindleygooden/◼ Guest: Graeme McDermott: https://www.linkedin.com/in/chiefdataanalyticsofficerlondon/
Transcribe →
Ep. 5 | Value Erosion. The AI Failure Boards Never See | The AI Values Podcast
Apr 2700:21:35Tap to summarizeWhat if 68% of AI projects have already failed and the boardroom is the last to know?Edosa Odaro and Lindley Gooden go head-to-head on Episode 5 of The AI Values Podcast for the most uncomfortable conversation we've had on AI investment yet, especially on value erosion, the capability paradox, and the one question every board should be asking before signing the next AI budget line.🎯 Three questions to bring into your next board meeting drawn straight from this conversation.────────────────────────────────────── THIS WEEK: A HEAD-TO-HEADNo guest. Just Edosa and Lindley working a single problem from two angles — Edosa with the practitioner's frame, Lindley with the boardroom question that won't go away. The recent RAND statistic on the table; the argument working out in real time. ──────────────────────────────────────WHAT WE COVER: ► Why 68% of AI projects quietly stop delivering value within six months and look like success while they do ► Value erosion: the term Edosa coins for what the boardroom never sees ► The capability paradox: why your organisation can't absorb the AI capability you've invested in ► How 90% predictive accuracy can deliver zero value the metrics trap that catches CFOs every time ► When bad data becomes wrongful detention the real cost of unaccountable AI ► Why "stop AI" isn't a credible governance strategy and what meaningful friction looks like instead ► The one question every AI investment should answer: who benefits, who loses?⏰ EPISODE TIMESTAMPS: 0:00 — Introducing Episode 5: The 68% Stat That Should Worry Every Board 2:21 — The Capability Paradox: Why Organisations Can't Absorb AI 4:09 — 90% Accuracy, Zero Value: The Metrics Trap 5:57 — The One Question AI Should Answer: Are Decisions Improving? 7:16 — When Bad Data Becomes Wrongful Detention 9:42 — Why "Break Down All the Silos" Is the Wrong Answer 11:10 — Should We Stop AI? Edosa Pushes Back 14:16 — Guardrails That Actually Work — Not Brakes 15:09 — Who Benefits, Who Loses: The Question Every Board Should Be Asking 19:04 — Communication Is the Unlock#AIgovernance #CapabilityParadox #ResponsibleAI #ValueErosion #BoardroomAI #AIROI #AIaccountability #EthicalLeadership #AIRiskManagement #AIstrategy
Transcribe →
Ep. 4 | More People Will Switch Off From AI | The AI Values Podcast ft. Dr Naeema Pasha
Apr 2200:37:21Tap to summarizeWhat if the biggest AI risk isn't bias or hallucination but the quiet moment where people simply switch off?Dr Naeema Pasha joins Edosa Odaro and Lindley Gooden on Episode 4 of The AI Values Podcast for one of our most human conversations yet on trust, fairness, AI literacy, and the leadership shift that will decide who wins the next decade.🎯 Three test-yourself moments in this episode, see how well you read the research before Dr Pasha reveals the answers.──────────────────────────────────────GUEST: Dr Naeema Pasha Dr Pasha is a Henley Business School academic, author, and one of the UK's leading voices on Industry 5.0 and human-centred AI. She unpacks why we still trust humans over AI, why confident people use AI better, and why the Henley 'Equity Effect' research found a 58% revenue premium for organisations that actively pursue fairness.WHAT WE COVER:► Why this AI moment matters and the 'They Not Like Us' problem Fairness as the driver word for AI governance► Why trust in AI is already eroding and what leaders miss AI coaching, therapy bots, and the 60% of UK adults already using them► The Henley Equity Effect: a 58% revenue premium for fairness-led organisations► Industry 5.0, the cult of the CEO, and empathy-based leadership► AI literacy, critical thinking, and why confidence beats mastery► The quiet AI backlash 'no AI used here' signs, and what they mean for brand trustABOUT THE AI VALUES PODCAST:The AI Values Podcast is where leaders come to think clearly about the trade-offs behind AI adoption not just the opportunities. Hosted by Edosa Odaro (author, 'The Values of AI') and Lindley Gooden (author, 'The Future of Truth'), with weekly conversations at the intersection of AI, trust, governance, and the future of work.🎙 SUBSCRIBE to The AI Values Podcast for honest, rigorous conversations at the intersection of AI ethics, AI governance, and business leadership.◼ Find out more: https://www.theaivalues.org ◼ Reach out: podcast@theaivalues.org ◼ Get the Weekly AI Values Dispatch → https://pages.theaivalues.org◼ Edosa Odaro: / edosa ◼ Lindley Gooden: / lindleygooden
Transcribe →
Ep. 2 | Why Most AI Projects Fail Before They Start | The AI Values Podcast ft. Jon Cooke
Apr 800:37:17Tap to summarizeMost AI projects fail. And it's rarely the technology that's at fault.In this episode of the AI Values Podcast, Edosa Odaro and Lindley Gooden sit down with Jon Cooke who has spent over 20 years building, selling, and rescuing large-scale AI and data initiatives across banks, scale-ups, and enterprise organisations.Jon breaks down exactly why AI fails to deliver value, and more importantly, what it takes to change that.You'll hear about:• Why 'sprinkling AI onto problems' is the number one mistake organisations make• How FOMO-driven adoption wastes budgets and burns stakeholder trust• What the AI skills gap really means AI-skilled workers earn up to 56% more, yet only 1 in 4 are trained• Why organisational culture, not technology, is what makes or breaks AI• What genuinely AI-native organisations do differentlyThis is a practical, honest conversation for anyone trying to make sense of why AI keeps disappointing and what to actually do about it.About The AI Values Podcast:Where senior leaders come to think clearly about AI not just what it can do, but what it should do, and for whom.Because AI can deliver value without losing what we value most.More at theaivalues.org
Transcribe →
Ep. 3 | Are We Trusting AI Too Much? | The AI Values Podcast
Apr 800:15:24Tap to summarizeConfident doesn't mean correct. And the space between those two things can have real, serious consequences.In this episode of the AI Values Podcast, Edosa Odaro and Lindley Gooden ask one of the most important questions of the AI age: are we trusting AI too much?Through two real and gripping stories a family member who ended up in hospital after an AI gave dangerous food safety advice for a child with a nut allergy, and a journalist who nearly published a fabricated quote generated by an AI chatbot this conversation challenges the assumptions most of us carry every single day.You'll hear about:• Why AI sounds authoritative even when it's completely wrong• How AI hallucinations continue to pose serious, real-world risks• Why executives and business leaders are especially vulnerable to over-trusting AI• How to build genuine critical thinking skills in an AI-first world• What we risk losing cognitively and professionally when we stop questioning AIWhether you use AI at work or at home, this episode will make you think before you trust.About The AI Values Podcast:Where senior leaders come to think clearly about AI not just what it can do, but what it should do, and for whom.Because AI can deliver value without losing what we value most.More at theaivalues.org
Transcribe →
Ep. 1 | AI Gives. But AI Also Takes Away | The AI Values Podcast
Apr 800:24:06Tap to summarizeWelcome to The AI Values Podcast a series dedicated to the relationship between artificial intelligence and the values that shape our world.In this first episode, hosts Edosa Odaro and Lindley Gooden introduce the conversation that sits at the heart of this series: AI is extraordinary, but what does it take from us when we're not paying attention?From business efficiency to healthcare breakthroughs, AI's gifts are real. But so are the trade-offs: accountability gaps, human skills being quietly replaced, and value that isn't equally shared.You'll hear about:• Why "value" in AI means something different to every person and organisation• What AI oversight and accountability really look like — and who's responsible• The growing skills gap and its implications for the future of work• AI's wider impact on business, healthcare, culture, and communitiesThis isn't a show that hypes AI or fears it. It's a show that tells the truth about it.Perfect for: business leaders, policy thinkers, and anyone curious about AI's real role in society.About The AI Values Podcast:Where senior leaders come to think clearly about AI not just what it can do, but what it should do, and for whom.Because AI can deliver value without losing what we value most.More at theaivalues.org
Transcribe →