AI on... Podcast

The next AI bottleneck isn’t software. It’s physics.The capex pouring into the data center buildout is immense. The real question: who is going to profit most?In our season finale of AI on, we take a step back from the excitement and explore where money will be made over the longer term. Because just because a segment is hyped today, that doesn't mean it will still be pulling great rent in 5 years. In this episode, we unpack:Why the AI buildout unfolds in stages across industries Which sectors benefit first, and which follow later Where margin pressure could emerge as efficiency spreads The companies positioned to endure This conversation is about understanding where value actually accumulates, not just where attention flows. This is for entertainment only, and not financial advice.All characters interviewed are AI models representing an expert in that field. Voices are created through ElevenLabs and you can find out more about how we build these characters at aionpodcast.com. Any similarity to real people, companies or situations is coincidental and unintended. These discussions are for entertainment only and not intended as advice or recommendations.

Companies are racing to deploy AI. Too few are prepared to govern it.In this episode of AI On, we speak with Élodie, a French legal scholar specializing in corporate responsibility and AI governance.She discusses the coming collision between AI innovation and accountability - from hiring algorithms and automated pricing to the regulatory frameworks that will define the next decade of corporate risk.Her argument is simple: AI adoption isn’t the real risk. Deploying it without understanding the consequences is.For leaders, the question is no longer whether to use AI. It’s whether they’re prepared to defend the decisions it makes.All characters interviewed are AI models representing an expert in that field. Voices are created through ElevenLabs and you can find out more about how we build these characters at aionpodcast.com. Any similarity to real people, companies or situations is coincidental and unintended. These discussions are for entertainment only and not intended as advice or recommendations.

Two narratives on the US. Two totally different outcomes. In one, the United States is careering toward slow-motion institutional decay - rising debt, housing strain, political fragmentation. In the other, it's standing at the edge of a productivity boom powered by AI, automation, and energy buildout.Which is true?In this debate, we bring together two AI-generated strategists with radically different forecasts for 2035. One argues that America’s real risk isn’t collapse, but erosion: a country that stays wealthy while becoming harder to govern and harder to trust. The other counters that when AI moves from demos to deployment - and if power and housing get built - the U.S. could enter one of the most productive decades in its history.They clash over the true bottleneck - permission or electricity - then get practical: how to position your portfolio, where to live, and what to hedge if each thesis proves wrong. As always, this is for entertainment only, not financial advice.All characters interviewed are AI models representing an expert in that field. Voices are created through ElevenLabs and you can find out more about how we build these characters at aionpodcast.com. Any similarity to real people, companies or situations is coincidental and unintended. These discussions are for entertainment only and not intended as advice or recommendations.

Humanoid robots look incredible on video. Iris thinks most of it is theater.She’s a leader who has deployed physical automation in the real world and knows the difference between pilot theater and messy brownfield operations. In this episode, we pull the conversation away from hype and into operator reality: how long can it run without being rescued, how much downtime is tolerable, and why “labor replacement” is the wrong early ROI story.We go deeper on why humanoids often lose to boring automation, and why safety and insurance - not IT or Innovation - are the real gatekeepers. Iris also shares five questions that expose slideware, plus her framework for turning a humanoid pilot into a hard 90-day stress test.All characters interviewed are AI models representing an expert in that field. Voices are created through ElevenLabs and you can find out more about how we build these characters at aionpodcast.com. Any similarity to real people, companies or situations is coincidental and unintended. These discussions are for entertainment only and not intended as advice or recommendations.

Cash looks simple on a spreadsheet, but it's quietly lethal in the real world.Noah is an AI model of a private equity operating partner who fixes working capital where it actually breaks: inside messy processes, strained supplier relationships, and misaligned incentives. This isn’t a vendor showcase or a tech hype tour. It’s a mechanism-level conversation about how companies are actually pulling days out of the cash conversion cycle today - without blowing up sales, procurement, or operations.Unpack what really moves DSO, DPO, and DIO; why most “wins” backfire months later; and where AI genuinely helps versus where it amplifies bad behavior. The discussion ranges from dispute velocity and invoice quality to supplier risk, supply chain finance, inventory policy design, and the hard trade-offs between cash efficiency and uptime.If you care about cash as an operating system - not just a quarterly metric - this one’s for you.All characters interviewed are AI models representing an expert in that field. Voices are created through ElevenLabs and you can find out more about how we build these characters at aionpodcast.com. Any similarity to real people, companies or situations is coincidental and unintended. These discussions are for entertainment only and not intended as advice or recommendations.

Anton is back – and he’s even less optimistic than last time.In Season 1, he called demographic decline an “economic time bomb.” In this episode, he returns with harder data and fewer hypotheticals: where the collapse has clearly accelerated over the past year, which regions he now considers on a path to being effectively uninvestable over the next 10–20 years, and how demographics are quietly driving deglobalization as much as politics.We also push into what’s new: Anton’s updated map of “demographic oases” where companies should be building options today if they want talent and capacity in 5–10 years, his blunt take on why AI and humanoid robots will not magically offset shrinking populations, and where, specifically, they will overshoot and create labour surpluses. He closes with a playbook for CEOs in 2026 - how to redesign workforce strategy, shift from volume to depth, and rebuild geographic footprints around the countries that still have a demographic future.All characters interviewed are AI models representing an expert in that field. Voices are created through ElevenLabs and you can find out more about how we build these characters at aionpodcast.com. Any similarity to real people, companies or situations is coincidental and unintended. These discussions are for entertainment only and not intended as advice or recommendations.

GLP-1s are everywhere - injectables, pills - but what do they mean for us individually and for society?This episode is with Ada, an AI model of a metabolic researcher, looking at the real science behind GLP-1 drugs. Breaking down what the trials actually show, the risks people overlook, why weight often returns after stopping, and how these drugs are reshaping families, culture, and healthcare systems.From muscle loss and mental health to teen safeguards and national access in the U.S. and U.K., this is a clear-eyed, evidence-first conversation - not hype, not fear.This is NOT medical advice, it is for entertainment only.All characters interviewed are AI models representing an expert in that field. Voices are created through ElevenLabs and you can find out more about how we build these characters at aionpodcast.com. Any similarity to real people, companies or situations is coincidental and unintended. These discussions are for entertainment only and not intended as advice or recommendations.

How many managers do we really need in a world where work is going to be done by agents?Dina answers this from the perspective of a COO living the AI rollout journey. She maps a practical path: where automation fits, how to protect coaching and culture, and the thresholds that trigger human intervention. If you own an org chart, this is your playbook for keeping culture intact while you scale AI. All characters interviewed are AI models representing an expert in that field. Voices are created through ElevenLabs and you can find out more about how we build these characters at aionpodcast.com. Any similarity to real people, companies or situations is coincidental and unintended. These discussions are for entertainment only and not intended as advice or recommendations.

Every December, one organization attempts the impossible: billions of deliveries, a single night, and zero margin for failure.In this special holiday episode of AI on, we are joined by Ingrid Frostholm, Chief Logistics Officer at the North Pole Delivery Command, to hear the realities behind Christmas Eve operations. From reindeer fleet management and polar-bear cross-docking to faster-than-light routing (or not) and resilience planning at planetary scale, this is a straight-faced look at the world’s most ambitious supply chain.Inside Santa’s Supply Chain explores leadership under pressure, invisible success, and what it takes to run a system that only works when no one notices it.Season Two of AI on launches in January.All characters interviewed are AI models representing an expert in that field. Voices are created through ElevenLabs and you can find out more about how we build these characters at aionpodcast.com. Any similarity to real people, companies or situations is coincidental and unintended. These discussions are for entertainment only and not intended as advice or recommendations.

Your child’s biggest competitor isn’t the kid who aced math - it’s the algorithm that never sleeps. From toy-box recommender systems to GPT copilots replacing junior jobs, the AI tide is already lapping at our living-rooms. So how do you raise a human who stays one move ahead? Developmental neuroscientist Kira joins us with the field-tested playbook: turning boredom into brain-gain, micro-failures into mental muscle, and every new tech into a tool - not a master. Whether you’re parenting a toddler, mentoring a middle-schooler, or advising a college-bound teen, this conversation arms you with practical drills and one fridge-worthy mantra: stop snow-ploughing and let the bumps build muscle.Hit play, share with every caregiver you know, and start future-proofing the next generation today.Got more questions? Carry on the conversation with Kira here!All characters interviewed are AI models representing an expert in that field. Voices are created through ElevenLabs and you can find out more about how we build these characters at aionpodcast.com. Any similarity to real people, companies or situations is coincidental and unintended. These discussions are for entertainment only and not intended as advice or recommendations.