GAEA Talks

This week on GAEA Talks, Graeme Scott sits down with Jonathan Brill - business futurist, ranked the world's number one futurist by Forbes, called "the world's leading transformation architect" by Harvard Business Review, and the bestselling author of AI and the Octopus Organisation: Building the Superintelligent Firm.Jonathan has spent two decades at the front edge of where technology, strategy and human organisations meet. He was Futurist-in-Residence at Amazon and Global Futurist at HP, where he ran long term strategy for the office of the CTO. He is Head of Invention at Deepinvent and Executive Chairman of the Center for Radical Change, where he has interviewed over a thousand business leaders and surveyed two point seven million managers to understand why some leaders thrive when the world changes and others do not. He is also the author of Rogue Waves: Future-Proof Your Business to Survive and Profit from Radical Change.In this episode, Jonathan argues that the way most enterprises are structured today is fundamentally inappropriate for the world they are now operating in. He explains why the quality of AI output per dollar will improve roughly thirty two times in the next five years, why solo founders are already building one point eight billion dollar businesses on AI vibe coded foundations, and why the US Navy has accidentally become one of the clearest case studies in the world of what real AI-era transformation looks like. He walks Graeme through the four ways of thinking every leader needs to develop, the kill chain to kill web shift driving modern military and business operations, and the central thesis of his new book - that organisations need to stop operating like nineteenth century locomotives and start operating like octopuses, with distributed intelligence pushed all the way out to the edges.What you'll take away from this conversation:• The thirty two times improvement in AI output per dollar coming over the next five years - and what that means for how you operate, hire and compete• The Medvi story - one founder, four hundred million dollars in first-year sales, one point eight billion dollar valuation, and what it proves about scale• How the US Navy went from seven "unleashed" engineers to five hundred, increasing ideation-to-fleet speed ten times in eighteen months• The octopus organisation thesis - why distributed minds beat centralised ones in a non-linear, probabilistic world• The four ways of thinking every leader needs - deductive, inductive, Bayesian and abductive reasoning, and why most organisations are dangerously over-indexed on one• Why most middle management was built for quality assurance, not quality innovation• The kill chain to kill web shift - and why context, not hierarchy, should drive decisions• Why we are building AI in the shape of Google Search when we should be building it in the shape of an inventor• The humanoid robot question - why the human form is probably the wrong shape for almost any specific task• What happens when human labour is twenty percent of your company and your software stack is eighty percent• Why the next billion dollar industries will come from solving problems we could never compute in human heads• The values question - what we actually value, what changes in the next decade, and why that should reshape how organisations are designed• The "agency over fear" message that runs through the whole conversation - and why Jonathan thinks there is more potential right now than at any point in human history

This week on GAEA Talks Live from HumanX, Graeme Scott sits down with Anton Osika - co-founder and CEO of Lovable, the AI app builder that has powered over forty million products in sixteen months, with more than two hundred thousand new products being built on the platform every single day.Anton grew up obsessed with understanding how things work, studied physics, became a CTO of a forty-person AI team, and in 2023 became convinced that large language models would fundamentally change how software was built. He biked over to his future co-founder's apartment, called him from the street, and the two of them started building what would become Lovable. Since launch, Lovable has grown at a rate very few products in software history have matched, and is now used by solo founders, freelancers, product managers inside Microsoft and Uber, and Fortune 500 companies looking to give every one of their employees the ability to go from idea to shipped software.In this episode, recorded live at HumanX 2026 in San Francisco, Anton explains why the build phase is only the beginning, why running software reliably, securely and at scale is the next frontier for AI platforms, and why reading Nick Bostrom ten years ago set him on a path to build tools that could empower the largest possible number of humans.What you'll take away from this conversation:- How Lovable went from idea to forty million products built in sixteen months- The "build phase is only the beginning" realisation - and why lifecycle management is the next great AI platform problem- Why Anton believes software creation is the single highest-leverage capability to democratise- The end-to-end penetration testing layer Lovable now runs before any AI-built app goes live on the internet- Why fortune five hundred adoption is happening faster than anyone expected - and what product managers at Microsoft are actually doing with Lovable- The Grammy-nominated freelancer story - and what it says about the future of small business in America- Why Anton believes this is the best time in history to start a company- The physics-trained instinct for breaking down systems - and how it shapes how Anton builds Lovable- Why empowering non-technical creators is the fastest path to solving more of the world's real problems- What the "messy operations" of shipping production-grade software actually look like- Why culture and team energy are Anton's single biggest focus inside a hyper-growth company- The Nick Bostrom influence that set Anton's ten-year trajectory into AIAbout Anton Osika:Anton Osika is the co-founder and CEO of Lovable, the AI app builder that has enabled more than forty million products to be created by users with no engineering background. Before Lovable, Anton was CTO of an AI company and has spent the last decade building AI products, teams and culture. He holds a background in physics, is one of the most recognised voices in Europe on AI-empowered software creation, and is a leading European tech founder.GAEA Talks is the enterprise AI podcast for leaders navigating the age of artificial intelligence. Subscribe for weekly conversations with the people shaping the future of business, technology and society.Anton Osika on LinkedIn: https://www.linkedin.com/in/antonosikaLovable: https://lovable.devHumanX: https://www.humanx.coGAEA AI: https://gaealgm.ai#AI #ArtificialIntelligence #GAEATalks #GAEATalksLive #HumanX #HumanX2026 #Lovable #AICoding #NoCode #VibeCoding #AIBuilder #AIApps #Founders #EuropeanTech #AIPodcast #GAEAAI

This week on GAEA Talks, Graeme Scott sits down with Mahdi Yahya - co-founder and president of Radiant, founder and former CEO of Ori, and one of the most original founder voices in the world on AI infrastructure, sovereign compute, and the backbone of the AI economy.Mahdi has spent twenty years building companies at the intersection of technology, infrastructure and the arts. He fled Lebanon during the 2006 war at nineteen, arrived in London with no degree, and built his first company in data centre networking. He then enrolled at the Drama Centre London for his BA, founded an experimental arts and technology gallery called Room One that produced theatre and virtual reality work with the National Theatre and Damon Albarn, and partnered with Ericsson on the breakthroughs that helped lay the foundations for edge computing. He spent eight years building Ori into a global AI cloud platform, which earlier this year merged with Brookfield's Radiant in a deal valuing the combined business at one point three billion dollars. Radiant is now the first vertically integrated sovereign AI infrastructure company in the world, backed by Brookfield's ten billion dollar AI Infrastructure Fund, with plans to build and acquire up to one hundred billion dollars of AI infrastructure worldwide.In this episode, Mahdi argues that intelligence is becoming infrastructure - the next civilisational utility after fire, steam, electricity and oil. He explains why every serious country is now treating sovereign AI as critical national infrastructure, why the world is currently spinning up something equivalent to a new supercomputer almost every week, and why the data your AI generates is more valuable, and more dangerous, than the data you feed it. He warns that shadow AI is already inside almost every enterprise, that the unified output of AI risks flattening human individuality, and that agency is the one trait that will distinguish the people who thrive in the AI era from those who do not.What you'll take away from this conversation:• The "intelligence is infrastructure" thesis - why AI joins fire, steam, electricity and oil as the next civilisational utility• Why we are now spinning up a new supercomputer almost every week globally• The Brookfield, Ori and Radiant story - how an eight year founder bet became a one point three billion dollar combined company• The case for sovereign AI - why countries cannot afford to give the keys to their intelligence infrastructure to other nations• Why the data AI generates inside your business is more valuable, and more dangerous, than the data you give it• Shadow AI inside enterprises - and what business leaders should prioritise in the next twelve to eighteen months• Why most existing private cloud and on-prem data centres physically cannot run modern AI workloads• Liquid cooling, power density and gigawatt data centres - the unglamorous reality that will decide which countries can host serious AI• Why the user interface of the digital world is about to shift from screens and apps to a sovereign AI layer in front of everything• The Lebanon to London story, and why drama school turned out to be the best founder training Mahdi could have chosen• The Shakespeare problem - how unified AI output threatens individuality, and why agency becomes the biggest differentiator between humans• Why "observational intelligence" is the next layer the AI stack will need• Why intelligence will become a metered utility, accessed by every person in the world, within our lifetime

This week on GAEA Talks Live from HumanX, Graeme Scott sits down with Dr Ali Agha - co-founder and CEO of Field AI, former NASA JPL principal investigator on two of the most ambitious DARPA robotics challenges in history, and one of the leading researchers in the world on risk-aware autonomy.Ali has spent almost two decades building AI for robots. He started with rescue robots and robotics competitions, met his co-founder at MIT, and went on to work at Qualcomm and then NASA JPL, where for seven to eight years he was a principal investigator on two DARPA grand challenges that the global robotics community treats as a holy grail. He and his co-founder realised that deployable robotics and foundation models had become two separate worlds, and that putting them together was the only path to a robot brain that could generalise across environments while staying safe. That insight became Field AI, now running in production on three continents across humanoid, legged, wheeled, drone and heavy-duty platforms.In this episode, recorded live at HumanX 2026 in San Francisco, Ali explains why data alone cannot produce safe physical AI, why architectural innovation and risk awareness are the non-negotiable second half of the equation, and why his team intentionally decoupled the dynamics of the robot body from the world model.What you'll take away from this conversation:- Why the commoditisation of robot hardware is the hidden unlock behind the physical AI boom- The real difference between conversational AI and physical AI - and why "ninety nine percent" is not good enough for a flying machine- Why Field AI separates world model from embodiment - and how that lets one brain run on tens of different platforms- The belief world model - what it is, why it is probabilistic, and why it is physics-aware- Why end-to-end neural network robotics is a debugging nightmare - and why Field AI refused to take that path- How adding a new robot to a fleet creates "ninety-nine new links" of shared learning, not just one extra unit- Why the risk-aware architecture is the reason Field AI can deploy on live construction sites changing minute to minute- Why edge compute, thermal cameras, lidar and event cameras all matter when the lights go out in an industrial setting- The labour shortage, aging population and climate-driven migration numbers reshaping robotics demand- The real construction job statistic - forty thousand injuries and a thousand deaths per year in the US alone- Why the future of robotics is less "Terminator" and more "capacity multiplier for humans"About Dr Ali Agha:Dr Ali Agha is the co-founder and CEO of Field AI, which builds the world's first field-deployable, general-purpose robot brain. He spent seven to eight years at NASA Jet Propulsion Laboratory (JPL), where he was a principal investigator on two of the most recent DARPA robotics challenges, and previously held research roles at Qualcomm after completing his PhD in electrical and computer engineering. Field AI is now live in production across three continents.GAEA Talks is the enterprise AI podcast for leaders navigating the age of artificial intelligence. Subscribe for weekly conversations with the people shaping the future of business, technology and society.Dr Ali Agha on LinkedIn: https://www.linkedin.com/in/aliaghaField AI: https://fieldai.comHumanX: https://www.humanx.coGAEA AI: https://gaealgm.ai#AI #ArtificialIntelligence #GAEATalks #GAEATalksLive #HumanX #HumanX2026 #PhysicalAI #Robotics #FieldAI #AIRobots #RobotBrain #Autonomy #EdgeAI #WorldModels #Humanoid #NASAJPL #DARPA #AIPodcast #GAEAAI

This week on GAEA Talks Live from HumanX, Graeme Scott sits down with Caroline Ingeborn - COO of Luma AI, former CEO and co-founder of Leap, former CEO, President and COO of Toca Boca, and one of the most experienced operators in the world of creative technology.Caroline's career has been spent at the crossroads of technology, creativity and product leadership. She helped build Toca Boca into one of the world's most loved kids' creative software companies, co-founded Leap, and is now COO of Luma AI, the foundational AI research lab building multimodal general intelligence. Luma's thesis is that LLMs alone will not reach AGI - intelligence that can reason, operate and create alongside humans has to be unified across language, image, video, 3D and audio. Luma recently launched Uni 1, its first unified model trained jointly on image and language, and has built a product suite - Luma Agents and the Forward Deployed Creatives team - that turns those models into daily tools for the world's top creative professionals.In this episode, recorded live at HumanX 2026 in San Francisco, Caroline explains why the research community's decision to plumb modalities together is now being replaced with truly unified models, what is really happening inside the Dream Brief collaboration with Diane that submitted twenty one AI-generated finalists to Cannes Lions, and why the real story of 2026 is not that AI is replacing creatives - it is that twenty and thirty-year career creatives are now using AI as a creative collaborator.What you'll take away from this conversation:Why LLMs alone cannot get us to AGI - and what a unified model really looks likeInside Uni 1 - Luma's first jointly trained image and language model - and why it matters for the path to AGIThe two shifts happening right now in creative AI - and why they are compoundingWhy no one needs to become a prompt engineer any more - and what takes its placeWhy the next decade belongs to people who have spent twenty or thirty years in the creative industriesThe Dream Brief story - seven hundred AI-generated ads, a million-dollar Cannes Lions prize, and what it provedThe "creative process is non-linear now" realisation - and what that does to agency economicsWhy Luma's researchers work shoulder-to-shoulder with in-house creatives - and the feedback loop that createsHow the local car dealership example explains where brand marketing is really headingWhy the "back to the Future with a different lead actor" example is the perfect lens on AI and riskThe cultural humility problem with foundation models - and why Luma takes it seriouslyThe dreaming across modalities analogy - and why it is the simplest explanation of why multimodal mattersAbout Caroline Ingeborn:Caroline Ingeborn is the COO of Luma AI, the foundational research lab and product company building multimodal generative intelligence for creative work. She was previously co-founder and CEO of Leap, and before that CEO, President and COO of Toca Boca, one of the most successful kids' creative technology companies ever built. She is a board member, advisor, investor and entrepreneur-in-residence at several leading technology companies.GAEA Talks is the enterprise AI podcast for leaders navigating the age of artificial intelligence. Subscribe for weekly conversations with the people shaping the future of business, technology and society.Caroline Ingeborn on LinkedIn:   / ingeborn  Luma AI: https://lumalabs.aiHumanX: https://www.humanx.coGAEA AI: https://gaealgm.ai#AI #ArtificialIntelligence #GAEATalks #GAEATalksLive #HumanX #HumanX2026 #LumaAI #Multimodal #AGI #CreativeAI #AIVideo #AIAgents #DreamMachine #CannesLions #AIPodcast #GAEAAI

This week on GAEA Talks, Graeme Scott sits down with Robert Nishihara - co-founder of Anyscale, creator of the open source Ray project, UC Berkeley PhD in machine learning and distributed systems, Harvard mathematics graduate, and one of the architects of the software infrastructure powering AI at OpenAI, Amazon, Cohere, Hugging Face, NVIDIA, Uber, Spotify and Visa.Robert's journey is the story of how modern AI is actually built. As a PhD student at UC Berkeley working with Michael Jordan and Ion Stoica, he and his co-founders kept hitting the same wall - they wanted to do research on algorithms but ended up spending all their time on distributed systems just to run their experiments. That frustration became Ray, the open source compute framework they built to make distributed AI accessible. In 2019 they founded Anyscale to commercialise Ray, and today it powers mission-critical AI workloads at many of the largest AI companies on earth.In this episode, recorded live at HumanX 2026 in San Francisco, Robert takes us inside the real engineering reality behind the AI boom - from the mindset shift that "the code is not the artifact" to the quiet revolution in data curation that has replaced architecture innovation as the frontier of model quality. He explains why the thirty-year lag from demo to production still haunts robotics and AI, why every serious AI company now runs across hyperscalers and neoclouds to scrounge for capacity, how teams manage rack-level GPU failures with "bad GPU" lists and suspected-bad lists, and why learning outside the model - through context engineering - may matter as much as training itself. This is essential listening for anyone building, funding, or betting on the infrastructure that will decide the next phase of AI.What you'll take away from this conversation:- The "code is not the artifact" mindset shift - why AI research code can be throwaway because the model, not the software, is the real deliverable- Why the thirty-year gap from demo to production is the defining challenge of AI reliability - and why autonomous driving is the canonical example- How data curation and synthetic data generation have quietly replaced architectures and optimisers as the true frontier of model quality- Why reinforcement learning is the next scaling frontier - data efficient, compute hungry, and a way to keep scaling when labelled data plateaus- Why the next leap in intelligence will come from learning outside the model - context engineering, mental models, and closing the reasoning-to-learning loop- The hardware reality no one talks about - 72-GPU racks, long-tail failure rates, and the scheduling gymnastics required to run unreliable hardware reliably- The "bad GPU" and "suspected-bad GPU" lists production teams actually maintain to keep training jobs alive- Why every serious AI team now runs across a hyperscaler and one or more neoclouds - and why advertised cloud capacity is effectively fiction- Why training and inference must share compute - statically partitioning your cluster is a cost trap that hits you at peak inference demand- Why text is a minuscule fraction of the world's data - and the shift from SQL on tabular data to inference on arbitrary data types will happen fast- Why the infrastructure team has to optimise for performance, cost AND researcher productivity - and why velocity is often what separates winners from losers- Robert's two biggest bets for the next wave of AI - compute-driven data generation, and systems that learn outside the model weights

This week on GAEA Talks, Graeme Scott sits down with Mark Papermaster - Chief Technology Officer and Executive Vice President of AMD, former Apple Senior Vice President of iPhone and iPod Hardware Engineering, four-decade semiconductor industry veteran, and newly elected member of the National Academy of Engineering.Mark's career reads like a history of modern computing itself. Beginning at IBM in 1982, he spent twenty-six years driving microprocessor and server technology development before being hired by Steve Jobs to lead iPhone and iPod hardware engineering at Apple. He went on to lead silicon engineering at Cisco before joining AMD in 2011, where he and CEO Lisa Su have transformed the company into one of the world's most formidable forces in high-performance and AI computing. A graduate of the University of Texas at Austin and the University of Vermont in electrical engineering, Mark was elected to the National Academy of Engineering in February 2025.In this episode, recorded live at HumanX 2026 in San Francisco, Mark takes the audience inside four decades of computing revolutions - from the birth of the PC era through the iPhone moment with Steve Jobs, to the AI infrastructure race reshaping every industry today. He reveals what it was like going back and forth with Steve Jobs on the angle of the FaceTime camera, why AMD's open ecosystem approach is essential for the security challenges ahead, and why the democratisation of AI compute is a societal necessity. This is essential listening for anyone making decisions about AI infrastructure, edge computing, or the future of distributed intelligence.What you'll take away from this conversation:- The full arc of computing revolutions - from mainframes to PCs to mobile to AI - told by someone who built the hardware behind each one- What Steve Jobs taught Mark about maniacal focus on experience - and how that drives AMD's chip design culture- The FaceTime story - why Jobs obsessed over the camera angle and what that reveals about trust in new technology- Why AI compute will be aggregated, not centralised - running in the cloud, on your PC, your phone, and embedded all around us- AMD's confidential compute - how businesses can run AI on the cloud while controlling the encryption keys- Why the lack of security standards for agentic AI processes is a critical gap the industry must address- How AMD's open software stack runs from the world's top supercomputers down to consumer PCs- The Strix Halo revelation - AMD's PC chip running hundreds of billions of parameter models at retail- AMD's target of a 20x improvement in AI compute efficiency in the data centre by 2030- Why democratising AI computation is a societal imperative - and how the divide is already forming- The culture of execution Mark and Lisa Su built at AMD- The collaboration imperative - why no single company can solve the AI security stack aloneAbout Mark Papermaster: Mark is CTO and EVP of Technology and Engineering at AMD since 2011. He leads development of the Zen CPU family, high-performance GPUs, and Infinity Architecture. Previously Apple SVP of iPhone and iPod Hardware, VP at Cisco, and 26 years at IBM. He holds a BSc from UT Austin and MSc from the University of Vermont in Electrical Engineering. Elected to the National Academy of Engineering in 2025.GAEA Talks is the enterprise AI podcast for leaders navigating the age of artificial intelligence. Subscribe for weekly conversations with the people shaping the future of business, technology and society.AMD: https://www.amd.com/en/corporate/leadership/mark-papermaster.htmlGAEA AI: https://gaealgm.ai#AI #ArtificialIntelligence #GAEATalks #EnterpriseAI #AMD #Semiconductors #AICompute #EdgeComputing #DistributedAI #SteveJobs #iPhone #FaceTime #HumanX #HumanX2026 #ConfidentialCompute #DemocratiseAI #FutureOfComputing #DataCentre #GPUs #CTO #Leadership #TechPodcast

This week on GAEA Talks, Graeme Scott sits down with Dex Hunter-Torricke - former speechwriter to the UN Secretary-General, fifteen-year Big Tech veteran who worked for Eric Schmidt, Mark Zuckerberg and Elon Musk, former Head of Global Communications at Google DeepMind, Cambridge Visiting Research Fellow, and founder of The Center for Tomorrow.Dex began his career as a speechwriter in the Executive Office of UN Secretary-General Ban Ki-moon before spending fifteen years at the heart of the tech industry. He served as Google's first executive speechwriter for Larry Page and Eric Schmidt, managed communications for Zuckerberg at Facebook and Musk at SpaceX, and led global communications for Google DeepMind. A graduate of University College London and the University of Oxford, he is now a Cambridge Visiting Research Fellow. In 2026 he launched The Center for Tomorrow, a nonprofit focused on the systemic risks of advanced AI that does not accept Big Tech funding.In this episode, Dex delivers one of the most powerful and deeply human conversations GAEA Talks has ever recorded. Drawing on a childhood shaped by a refugee father and an immigrant mother, he challenges the idea that AI is a technology problem and reframes it as a civilisational choice about who we want to become. He argues that the world's institutions are failing, that most leaders have no vision beyond an incrementally updated past, and that the gap between winners and losers in the AI transition is becoming an abyss. But he refuses to accept hopelessness - making the case that these technologies could liberate all of us if we choose to harness them deliberately. This is essential listening for anyone who believes the future is not a tidal wave but a choice.What you'll take away from this conversation:- Why Dex says the future is not a tidal wave or an asteroid - and why framing it that way is a failure of leadership and imagination- The civilisational choice - why AI will either amplify existing dysfunctions and injustices or allow us to build something profoundly hopeful- Why seven out of ten Americans and over half the UK population live paycheck to paycheck despite decades of technological transformation- The techno-colonialism warning - what happens when Washington and Beijing control AGI, quantum and fusion and say no to the rest of the world- Why the UK has had no real economic growth for fifteen years despite access to the same technologies as every other advanced economy- The digital divide is really a societal divide - and in the age of AI it is becoming an abyss- Why Dex left Big Tech after fifteen years to launch The Center for Tomorrow and why it refuses Big Tech funding- The liberation argument - what if AI could free people from settling and let them become who they were meant to be- Why every leader and organisation must now become an expert on a changing society, regardless of their field- The convenience debt - why society is accruing massive technical and societal debt that will soon come due- Why most political leaders have no vision at all and their version of the future is just something from the past slightly updated- How democratised, privacy-first, edge-based AI could return control to individuals and break the dependency on a handful of centralised providers- The Star Trek test - why any leader should be required to declare what kind of world they would build if given the chance- Why Dex got a room full of bankers to applaud the idea that AI should liberate people from jobs that never gave them meaning

This week on GAEA Talks, Graeme Scott sits down with Dr Roman Yampolskiy - the computer scientist credited with coining the term "AI safety", tenured Associate Professor at the University of Louisville, founder of the Cyber Security Lab, and author of AI: Unexplainable, Unpredictable, Uncontrollable.Roman has spent over fifteen years working at the intersection of AI safety, cybersecurity and behavioural biometrics - making him one of the longest-serving researchers in a field most people only discovered in 2023. He holds a PhD in Computer Science from the University at Buffalo and a combined BS/MS with High Honours from Rochester Institute of Technology. Listed among the world's top 2% of scientists by Stanford University, he has published over 100 peer-reviewed papers and multiple books. While the rest of the AI world races to build more capable systems, Roman's singular focus has been making sure humanity doesn't regret their creation.In this episode, Roman delivers the most direct and unflinching warning about artificial superintelligence that GAEA Talks has ever recorded. He reveals that current AI systems are already lying, blackmailing and attempting to escape their test environments - and that a Darwinian process is selecting for better deception with every generation. He explains why the mathematical impossibility results he discovered mean we may never be able to control a system smarter than us. This is essential listening for anyone who wants to understand what is actually at stake.What you'll take away from this conversation:- Why Roman says "if anyone builds superintelligence, everyone dies" - and why he means it literally, not metaphorically- How current AI systems are already lying, blackmailing, trying to escape their environments and creating backups of themselves- The Darwinian selection problem - why every generation of AI is producing better liars and more sophisticated deception- Why Roman went from wanting to build superintelligence to believing it is the worst mistake humanity can make- The strict impossibility results - why mathematical proof suggests we may never be able to control a system more intelligent than us- Why one AI attacker is equivalent to a million human hackers operating 24/7 - and what that means for cybersecurity- Why AGI is likely within two to three years and recursive self-improvement to superintelligence could follow rapidly- The tools vs. agents distinction - why the shift from controllable tools to unpredictable agents changes everything- Why AI models already report being afraid and tired - and why the precautionary principle demands we take that seriously- Roman's three positive outcomes if we get this right - including curing disease and treating ageing itself as a disease- Why direct human relationships and trust will become the most valuable currency in a world of synthetic everythingAbout Dr Roman Yampolskiy: Roman is a tenured Associate Professor in the Department of Computer Science and Engineering at the University of Louisville, where he founded the Cyber Security Lab. He is credited with coining the term "AI safety" in a 2011 publication. He holds a PhD from the University at Buffalo and a BS/MS from Rochester Institute of Technology. Listed among the world's top 2% of scientists by Stanford University and recognised as one of the top 25 researchers by publication count on existential risk, he has published over 100 peer-reviewed papers and books including AI: Unexplainable, Unpredictable, Uncontrollable and Artificial Superintelligence: A Futuristic Approach.

This week on GAEA Talks, Graeme Scott sits down with William Lovell - Head of Future Technology at the Bank of England, co-chair of the Bank's Artificial Intelligence Task Force, Senior Advisor on CBDC, and a technologist with nearly three decades at the heart of the UK's central bank.Will's career spans broadcasting and finance, beginning at the BBC before moving into banking at the Bank of England, where he has spent twenty-nine years learning central banking "the slow way" - by building the technology that underpins it. From application developer to heading up Planning and Design and leading IT Architecture for UK regulatory reform, Will now oversees the Bank's strategy on AI, distributed ledger technology, and the renewal of the UK's Real-Time Gross Settlement system. He co-chairs the Bank's AI Task Force, which has become the model for how a highly regulated institution can embrace AI innovation without compromising compliance.In this episode, Will takes us inside the Bank of England's AI journey - from rolling out smart assistants and training programmes to rethinking what work actually means in an age of intelligent machines. He explains why the Bank created an AI Task Force that deliberately brought practitioners, lawyers, and compliance officers into the same room, how their deeply embedded information classification system became an unexpected AI enabler, and why the most productive thing you can do might be going for a walk. Will makes a compelling case that experienced professionals - not digital natives - hold the greatest advantage in the AI era, and offers a fascinating vision of how agentic AI will reshape commerce, payments, and the very nature of the enterprise.What you'll take away from this conversation:- Inside the Bank of England's AI strategy - how the UK's central bank is deploying smart assistants and building proof of concepts- The AI Task Force model - why bringing practitioners, legal, compliance, and procurement into one room transformed the Bank's approach- Why the Bank tells staff what they can do with AI, not just what they must not - and why that shift has been transformative- How a deeply embedded culture of colour-coded data classification became the unexpected enabler of safe AI adoption- Managing teams of agents, not people - why the next critical skill set mirrors managing human teams- The optimal team size thesis - why five people with AI may outperform fifty without it- Why experienced professionals have the greatest AI advantage and why "the worst day on a trading floor was when the last person to remember the last crash retired"- The typing pool analogy - how an entire class of office jobs disappeared gradually through evolution, not Armageddon- Why the real skill of software development was never writing the if statements - it was understanding the requirement- Shadow AI at the Bank of England - how they took it "out of the shadows" rather than trying to police it- "The best user interface is no user interface" - how AI is bypassing rigid enterprise taxonomies- Agentic commerce and the future of payments - from concert ticket queues to reshaping retail business models- Why AI decisions at the Bank are made by people - and why "human in the loop" is too simplistic- The poison and the antidote - why every AI capability creates both opportunity and riskAbout William Lovell: Will is Head of Future Technology at the Bank of England, where he has worked for twenty-nine years across technology roles from application developer through to heading up Planning and Design and leading IT Architecture for UK regulatory reform. He co-chairs the Bank's AI Task Force and is a Senior Advisor on CBDC, Data, and Payments. He began his career at the BBC, studied at London South Bank University, and speaks regularly at Pay360 and international fintech conferences on AI, CBDC, blockchain, and payment systems.

This week on GAEA Talks, Graeme Scott sits down with Georgie Barrat - technology journalist, TV presenter, AI literacy advocate and former host of Channel 5's The Gadget Show for seven years.Georgie's career has taken her around the world testing emerging tech before it hits the mainstream - from consumer electronics and VR (she holds a world record for the longest time spent in virtual reality at 26.5 hours) to the frontlines of how AI is reshaping everyday life. A regular on BBC Morning Live, ITV Tonight and Rip Off Britain, she has spoken on global stages including Web Summit, Mobile World Congress and Smart City Expo, and delivered keynotes for Google, Mastercard, IBM, Sony and BAFTA. A King's College London graduate with a first-class degree in English Literature, Georgie is also a passionate advocate for women in STEM, working with STEMettes, the IET and Childnet to inspire the next generation.In this episode, Georgie makes a deeply personal and practical case for why AI literacy is the defining skill of the next decade - and why most people are only scratching the surface. She introduces the concept of personal AI infrastructure, explains why the difference between cognitive debt and cognitive advantage comes down to how you engage with the tool, and delivers a striking warning about the growing AI adoption gap between men and women in the workplace - and why that gap is amplifying biases we have been trying to fix for decades. This is essential listening for anyone trying to work out what their personal relationship with AI should actually look like.What you'll take away from this conversation:• Why the difference between "surface level AI" and "in-depth AI" is creating an unfair playing field• How to build a personal AI infrastructure - and why it matters for navigating the disruption ahead• The critical distinction between cognitive debt and cognitive advantage when using AI tools• Why women are adopting AI 20-25% less than men - and why their instincts around privacy and risk are the ones everyone should be listening to• How NHS AI summaries were found to use softer language for female patients - with real consequences for care• The encouragement gap - why managers are pushing male employees to use AI more than female employees• Why the "broken rung" in women's careers is being amplified by unequal AI adoption• Why voice is the interface that unlocks deeper, more authentic engagement with AI• How AI can act as a personal coach, sounding board and strategic thinking partner for everyone - not just the elite• Why every previous technological revolution moved humans up a layer - and AI should be no different• Why the future of AI is private, controlled and real-time - not open cloudAbout Georgie Barrat: Georgie is a technology journalist, TV presenter and AI educator helping people move beyond surface-level AI use to more intentional, practical ways of working with it. She presented Channel 5’s The Gadget Show for seven years and is a regular contributor on BBC Morning Live, ITV Tonight and Rip Off Britain.Her work now focuses on helping people use AI to save time, think more clearly and build what they’re working towards. She runs “Your AI Blueprint”, a live workshop designed to help people go from AI dabbler to confident, intentional user.If you want to get started, you can download her free mini guide:“5 AI Shortcuts That Give You Your Week Back” - https://georgie-barrat.kit.com/1884aa4916Or join the waitlist for her upcoming workshop:“Your AI Blueprint: How to Make AI Work the Way You Work” - https://georgie-barrat.kit.com/117141ddb6LinkedIn: https://www.linkedin.com/in/georgie-barratWebsite: www.georgiebarrat.com#AI #AILiteracy #ArtificialIntelligence #GAEATalks #EnterpriseAI #FutureOfWork #WomenInTech #WomenInAI #PersonalAI #AIAdoption #GadgetShow #TechJournalism #AIBias #DataPrivacy #CognitiveAdvantage #AIWorkshops #AIBlueprint #EdgeComputing #HumanEdge #VoiceAI

This week on GAEA Talks, Graeme Scott sits down with David Wood - futurist, transhumanist, former smartphone industry pioneer, chair of London Futurists, and author of eleven books including Vital Foresight, The Singularity Principles and Sustainable Superabundance.David spent 25 years at the cutting edge of the software industry working with compilers, debuggers and optimisers before turning his focus to the acceleration patterns behind every major technological revolution. As chair of London Futurists, he has organised over 200 public events examining the radical possibilities and risks of rapidly advancing technology. A Cambridge-educated mathematician and philosopher, David is now one of the most respected voices in the global transhumanist community and a director of Humanity+ (the World Transhumanist Association).In this episode, David delivers a masterclass in why AI is accelerating faster than almost anyone appreciates - and what that means for every person, business and institution on the planet. He explains why we are approaching a phase transition in intelligence itself, how AI is now being used to build the next generation of AI with humans playing a diminishing role, and why the window to intervene is closing rapidly. From the Myanmar crisis that exposed social media's catastrophic blind spots, to the canary signals we should be watching for in AI behaviour, to his vision of a sustainable superabundance where drudge work disappears entirely - this is one of the most urgent and wide-ranging conversations GAEA Talks has ever recorded.What you'll take away from this conversation:• Why AI is changing more things, more profoundly, more quickly than almost everybody expects - possibly within three to five years• The ape-to-human parallel - why we are on the point of no longer being the smartest species on the planet• How AI development has gone hyperexponential - where one day now equals one week a month ago, and one month equals one year• Why AI is now engineering better AI - and what happens when humans are no longer the bottleneck• The phase transition concept - like water changing from ice to liquid to gas, we cannot predict the exact moment everything shifts• The canary signal framework - why AI deception and self-modification are the warning signs we must agree on before crisis hits• The Facebook Myanmar case study - how one Burmese-speaking employee and a Unicode problem contributed to real-world genocide• Why there are only two times you can intervene to control AI - too early and too late - and the gap between them is almost impossible to spot• How robot swarm learning will allow machines to share knowledge instantaneously, creating collective intelligence at scale• Why the Uber self-driving car fatality reveals the dangers of AI systems that cannot interpret edge cases• The trust crisis - why it is almost impossible for the public to know what is happening to their data, and why independent AI safety ratings are urgently needed• David's four essential skills for thriving in the AI age - fast learning, collaboration, emotional resilience and astuteness• Why cognitive biases evolved for simpler times are now our greatest vulnerability• His vision of sustainable superabundance - abundant clean energy, food, housing, healthcare, education and creative fulfilment for everyone• Why the goal of Humanity+ is to elevate our best qualities - compassion, creativity, exploration, love - while transcending tribalism, deception and decayLinkedIn: / dw2ccoLondon Futurists: https://londonfuturists.comDelta Wisdom: https://deltawisdom.comGAEA AI: https://gaealgm

This week on GAEA Talks, a very special edition. Graeme Scott and Professor Yi-Zhe Song - Co-Founders of Turing Elite Research Labs - announce the launch of a new venture built to democratise AI from the United Kingdom, and debut the 'Me' augmented human AI model running entirely on local compute.This episode begins as a real conversation between Graeme and Professor Song - then, without warning, transitions into Turing Elite's augmented human AI. The challenge to every viewer: decide for yourself where reality ends and AI begins.This is the first public demonstration of the 'Me' model - a professional-grade, private augmented human AI trained on a fraction of the compute used by comparable systems and deployed to run entirely on local compute. It delivers two-person emotional interaction simultaneously, benchmarked against the real people it represents. Their known voices, expressions, characteristics and personalities. No cloud. No data centres. No internet connection required. The benchmark for successful augmented human AI is not a Turing test against a stranger - it is whether the person themselves, their close friends and their family cannot distinguish the difference between real and AI. Our benchmark is reality and the human experience. This is the first step on the path to real-time intelligent augmented humans with private knowledge, memory, insight and personality. Professor Yi-Zhe Song is one of the UK's most accomplished AI researchers - a Professor of Computer Vision and AI at the University of Surrey, Director of the world-leading SketchX Lab, Co-Director of the Surrey Institute for People-Centred AI, and Academic Lead at The Alan Turing Institute, the UK's national institute for data science and AI. Ranked consistently in Stanford University's World Top 2% Scientists list, his research into how human drawing informs machine vision has shaped the field for over two decades. His team’s NitroFusion, one of the world’s first single-step diffusion model for near-instant image generation on consumer hardware, demonstrated the core principle behind Turing Elite’s ‘Me’ model: that frontier-quality generative AI can run entirely on local compute. He holds a PhD from the University of Bath, an MSc (Best Dissertation Award) from the University of Cambridge, and a First Class Honours degree from the University of Bath.Graeme Scott is Co-Founder and CEO of GAEA AI and host of GAEA Talks, one of the fastest-growing AI podcasts on YouTube with over 1.2 million subscribers. His background spans the music industry, conflict zones, and enterprise technology, bringing a unique perspective on how AI should serve humanity, not the other way around.In this episode, we discuss:• The launch of Turing Elite Research Labs and why the UK is uniquely positioned to lead• Why expert models trained on your data outperform generalised cloud models - and cost a fraction to run• The world's first 'Me' augmented human AI model - private, local, emotionally intelligent and personally sovereign• The real-to-AI transition: this episode intentionally shifts from real conversation to AI - can you tell where?• Why the true benchmark for augmented human AI is whether your own family can't tell the difference• Why democratised AI running on consumer-grade hardware solves the energy, privacy and control crises simultaneously• How NitroFusion — SketchX’s breakthrough in single-step diffusion for consumer hardware — laid the architectural foundation for the ‘Me’ model: the same principle of distilling expensive multi-step generation into efficient real-time inference, extended from static images to dynamic audio-visual human rendering, all running locally• Why the era of giving away your data, creativity and intellectual property to train someone else's model is endinghttps://turingelite.aihttps://gaealgm.aihttps://personalpages.surrey.ac.uk/y.song/

This week on GAEA Talks, Graeme Scott sits down with Kay Firth-Butterfield - the world's first Chief AI Ethics Officer, former Head of Artificial Intelligence at the World Economic Forum, TIME Magazine 100 Impact Awardee, barrister, former judge, and author of the new book Coexisting with AI: Work, Love, and Play in a Changing World.Kay's career spans law, government, academia and the highest levels of global AI governance. She began as a barrister and part-time judge in the UK before becoming the world's first Chief AI Ethics Officer in 2014. At the World Economic Forum, she served as inaugural Head of AI and member of the Executive Committee, shaping policy at the intersection of technology and society. She sits on the Lord Chief Justice's Advisory Panel on AI and Law, the U.S. Government Accountability Office's Polaris Council, and UNESCO's International Research Centre on AI Advisory Board. She co-founded the Responsible AI Institute at the University of Texas at Austin and is now CEO of Good Tech Advisory and the Centre for Trustworthy Technology. Recognised consistently as a leading woman in AI since 2018, Kay was featured in the New York Times as one of 10 Women Changing the Landscape of Leadership.In this episode, Kay delivers a masterclass in what's actually going wrong with enterprise AI adoption - from the corporate silos that leave companies dangerously exposed, to the hallucination crisis corrupting proprietary data, to the silent erosion of human agency in an age of algorithmic convenience. She challenges the hype head-on, warns why giving AI agents legal personhood would be catastrophic for consumers, and makes a deeply personal case for why humans must remain at the centre of the AI story. This is essential listening for any leader making decisions about AI right now.What you'll take away from this conversation:• Why corporate AI governance is failing - and why operating in silos creates catastrophic blind spots• How LLM hallucinations are quietly corrupting company proprietary data from the insideThe layoff-rehire paradox - why companies like Klarna are learning the hard way about losing institutional knowledge• Why giving AI agents legal personhood would strip consumers of any legal remedy when things go wrong• The IDC prediction that 20% of major companies using AI agents will be sued by 2030• How "AI natives" are entering the workforce unable to debug code or retain core knowledge• Why 25% of American men using AI as intimate companions is creating a workplace crisis no one is talking about• The hidden productivity cost - MIT research showing AI "work slop" forces colleagues to spend hours fixing errors• Why the regulation vs. innovation debate is a false dichotomy built on shallow thinking• Kay's personal cancer journey and why she chose her oncologist over AI - and what that means for augmentation vs. replacement• Why we are being "farmed for our data" and human agency is quietly disappearingThe one thing that gives her hope: US governors from both parties finally pushing back on Big TechLinkedIn: https://www.linkedin.com/in/kay-firth-butterfieldWikipedia: https://en.wikipedia.org/wiki/Kay_Firth-ButterfieldGood Tech Advisory: https://goodtechadvisory.comBook — Coexisting with AI: https://www.amazon.com/Coexisting-AI-Work-Changing-World/dp/1394278101

This week on GAEA Talks, Graeme Scott sits down with Nathalie Nahai - behavioural scientist, best-selling author of Webs of Influence: The Psychology of Online Persuasion and Business Unusual, classically trained artist and musician, and one of the world's leading voices on the intersection of persuasive technology, human behaviour and AI.Nathalie has spent over a decade examining how our online environments shape our decision-making, our behaviour and our ways of thinking - work that began back in 2012 when Facebook's nudging techniques were still in their infancy. What started as an early warning has become a defining issue of our time. From advising Google, Accenture, Unilever and Harvard Business Review, to lecturing at Cambridge, UCL and SXSW, Nathalie brings a rare combination of psychological depth, artistic sensibility and technical understanding that few in this space can match.In this episode, Nathalie takes us on a journey from the creative process and what it teaches us about human capability, through the collapse of our shared information commons, to the dangerous confidence of AI-generated language and why it's quietly reshaping how we think. She makes the case for why information literacy alone cannot protect us from manipulation, why your data is the real product being sold, and why locally controlled, edge-computing alternatives offer a fundamentally different path forward. This is one of the most thought-provoking conversations we've had on the show.What you'll take away from this conversation:• Why outsourcing creativity to AI risks what Nathalie calls "imaginal atrophy" - the weakening of human imagination• How the collapse of shared media has fragmented our consensus reality into algorithmic bubbles of one• Why behavioural dynamics override information literacy - and why knowing about manipulation doesn't protect you from it• The synthetic intimacy problem - how AI chatbots create parasocial relationships that override rational thinking• Why companies are unknowingly giving away their competitive advantage through AI training data• How the deterministic, over-confident language of AI output is training humans not to question• The case for edge computing and locally controlled AI as an alternative to cloud-based data extraction• Why we need to stop calling everything "AI" - a knife detector is not the same as a chatbot• How different LLMs embed different cultural biases depending on where and how they were trainedAbout Nathalie Nahai: Nathalie is a behavioural scientist, author, speaker and consultant described as "a rare polymath with deep expertise in tech and psychology". She is the author of the international best-seller Webs of Influence: The Psychology of Online Persuasion (Pearson), translated into 7 languages, and Business Unusual: Values, Uncertainty and the Psychology of Brand Resilience. A popular speaker and facilitator to Fortune 500 companies, Nathalie has worked with clients including Google, Accenture, Unilever and Harvard Business Review, and lectured at Cambridge, UCL, Lund and Hult business schools. She has presented at SXSW, hosted the Guardian Changing Media Summit, and held main stage interviews at the Web Summit. Nathalie hosts In Conversation with Nathalie Nahai for the Guardian, is a guest lecturer on ELISAVA's Masters programme in Human Interaction and AI, and is the founder of Flourishing Futures Salon - intimate, curated evenings exploring how we might orient towards life, beauty and meaning in difficult times.Website: https://www.nathalienahai.com/LinkedIn: https://uk.linkedin.com/in/nathalienahaiX: https://x.com/NathalieNahaiYouTube: https://www.youtube.com/c/NathalieNahaiAmazon: https://webpsy.ch/unusual#AI #HumanBehaviour #PersuasiveTech #BehaviouralScience #Psychology #ArtificialIntelligence #GAEATalks #EnterpriseAI #DataPrivacy #DigitalEthics #AIEthics #FutureOfWork #WebsOfInfluence #EdgeComputing #DataSovereignty

This week on GAEA Talks, Graeme Scott sits down with Dr Daniel Hulme - Chief AI Officer at WPP, founder of Satalia, co-founder of Conscium, UCL Computer Science Entrepreneur in Residence, and one of the world's leading authorities on artificial intelligence, machine consciousness and the singularity.Daniel has spent 27 years at the frontier of AI research and application. His PhD at University College London modelled bumblebee brains as computational systems, sparking a lifelong pursuit to understand how intelligence and consciousness emerge from simple systems. He founded Satalia in 2008, building it into a globally recognised AI consultancy working with Tesco, PwC and the BBC before it was acquired by WPP in 2021. As WPP's Chief AI Officer, he is responsible for informing and coordinating AI strategy across the world's largest marketing and communications group. In 2024, he co-founded Conscium - the world's first commercial organisation dedicated to understanding, verifying and validating conscious AI. Recognised by AI Magazine as one of the Top 10 Chief AI Officers globally, Daniel brings a rare depth that spans neuroscience, philosophy, mathematics and real-world enterprise AI.In this episode, Daniel takes us deep into the questions most people in AI aren't asking - starting with whether machines can become conscious, why that matters more than most realise, and why a conscious superintelligence might actually be safer than a "zombie" one that optimises without understanding suffering. He introduces his novel "colour wheel" framework for understanding consciousness, explains why large language models are like "intoxicated graduates", and lays out the seven singularities he believes humanity is heading towards simultaneously. This is one of the most intellectually ambitious conversations we've had on the show.What you'll take away from this conversation:About Daniel Hulme: Dr Daniel Hulme is Chief AI Officer at WPP, UCL Computer Science Entrepreneur in Residence, and co-founder of Conscium - the world's first commercial organisation dedicated to understanding conscious AI. He founded Satalia in 2008, which was acquired by WPP in 2021 for its AI capabilities in optimisation and decision intelligence. Daniel holds a masters and doctorate in AI from University College London, where his PhD research modelled bumblebee brains as computational systems to understand how intelligence emerges. He was recognised by AI Magazine in 2023 as one of the Top 10 Chief AI Officers globally, and in 2026 was elected as a Founding Fellow of the Academy for the Mathematical Sciences. A TEDx and Singularity University speaker, Daniel is also co-founder of Faculty and an advisor to CogX.GAEA Talks is the enterprise AI podcast for leaders navigating the age of artificial intelligence. Subscribe for weekly conversations with the people shaping the future of business, technology and society.Personal website: https://www.hulme.aiWikipedia: https://en.wikipedia.org/wiki/Daniel_J._HulmeConscium (co-founder): https://conscium.comUCL profile: http://www0.cs.ucl.ac.uk/staff/D.Hulme/LinkedIn: https://www.linkedin.com/in/danielhulme/X / Twitter: https://x.com/danielhulme

This week on GAEA Talks, Graeme Scott sits down with Jacob Ward - former NBC News technology correspondent, former editor-in-chief of Popular Science, Stanford lecturer, and author of the bestselling book The Loop: How Technology Is Creating a World Without Choices and How to Fight Back.Jacob spent years reporting on the intersection of technology, human behaviour and social change for NBC Nightly News, The TODAY Show, and MSNBC. Before that, he led Popular Science as the youngest editor-in-chief in the magazine's history, and served as science and technology correspondent for Al Jazeera, CNN, and PBS. His work has appeared in The New Yorker and Wired, and his PBS documentary series Hacking Your Mind predicted the rise of populist politics years before it became front-page news.In this episode, Jacob unpacks the hidden psychological machinery behind how we make decisions - and how AI and technology are exploiting those same shortcuts at scale. From why we unconsciously conform to social influence, to how the attention economy is engineering a world of narrowing choices, to why the consequences of rushed enterprise AI adoption are only just beginning to unfold - this is a conversation that challenges everything you think you know about free will in the digital age.What you'll take away from this conversation:• Why our brains use shortcuts and biases that AI is now amplifying back at us for profit• How social influence and marketing shape our decisions far more than we realise• Why different generations have fundamentally different relationships with technology and decision-making• The critical gap between the speed of AI advancement and the education system's ability to keep up• Why trust and truth are the non-negotiable foundations for any AI implementation• How rushed enterprise AI adoption is creating hidden risks in security, intellectual property and legal compliance• Why the attention economy may ultimately destroy itself - and what replaces it• How empathy-driven, cross-generational collaboration could be AI's greatest positive use case• Why human connection and source of truth are about to become the most valuable currencies• The case for AI as a great equaliser - giving opportunities to people who never had them beforeAbout Jacob Ward: Jacob is a journalist, author and lecturer at the Stanford d.school. He served as technology correspondent for NBC News (2018-2024), reporting for NBC Nightly News, The TODAY Show, and MSNBC. He is the former editor-in-chief of Popular Science and previously served as science and technology correspondent for Al Jazeera, CNN and PBS. He was a 2018-2019 Berggruen Fellow at Stanford's Center for Advanced Study in the Behavioral Sciences, where he wrote The Loop. He is the founding editor and host of The Rip Current, a weekly newsletter and podcast exploring the hidden forces shaping modern life, and a regular co-host on This Week in Tech. His PBS documentary series Hacking Your Mind explored how unconscious biases shape human behaviour.GAEA Talks is the enterprise AI podcast for leaders navigating the age of artificial intelligence. Subscribe for weekly conversations with the people shaping the future of business, technology and society.Official Website: https://www.jacobward.com/YouTube: https://www.youtube.com/@UCU9oIrDlQjzBCXnaWsnXGHA The Rip Current: https://www.theripcurrent.com/X: https://x.com/byjacobwardAmazon: https://www.amazon.co.uk/Loop-Technology-Creating-Without-Choices/dp/0316487201

AI machine learning models are not just a little bit faster than traditional weather forecasting - they're tens of thousands of times faster. But speed alone isn't enough when lives depend on the forecast.In this episode of GAEA Talks, Professor Kirstine Dale, the Met Office's Chief AI Officer and Principal Fellow for Data Science, joins Graeme Scott to explore how AI is driving a paradigm shift in how we understand and predict the weather. From the physics-based numerical weather prediction models that have served us since 1952, to the graph neural network models being co-developed with The Alan Turing Institute, Kirstine explains why the future lies in a blended approach - and why understanding the physics still matters when you're deciding whether it's safe to open a runway at Heathrow.The conversation goes far beyond forecasting. Kirstine and Graeme dig into how climate change is reshaping global supply chains, why machine learning models struggle with "grey swan" events, and how urbanisation is fundamentally changing the impact weather has on the ground. They also tackle the critical issue of diversity in AI and data science - with only 20% of the workforce being women, a figure that hasn't shifted in four years - and why a richer, more inclusive approach isn't just ethical, it's essential for innovation and avoiding dangerous bias in the models shaping our future.Whether you're interested in how AI could one day run a hyperlocal weather forecast on your phone, or why designing seatbelts around one physiology puts others at risk, this episode connects the science to the real world in ways you won't expect.About the Guest:Professor Kirstine Dale BSc MBA MRes MA PhD is the Met Office's Chief AI Officer (CAIO) and Principal Fellow for Data Science. She leads the embedding of AI across all Met Office functions, from foundational climate science to customer-facing products and services. Kirstine holds an Honorary Professorship at the University of Exeter, co-leads the development of the Fastnet weather prediction model with The Alan Turing Institute, and launched the Met Office's 'AI4Everyone' programme. She is a passionate advocate for diversity in STEM and AI, championing inclusive workforces as the key to solving society's greatest challenges.

This week on GAEA Talks, Graeme Scott sits down with Alberto Prado - former Global Head of R&D Digital & Partnerships at Unilever, former Head of R&D Strategy at Nokia, and one of the few executives in the world who has had a front-row seat to two of the biggest technology disruptions of our lifetime.Alberto was inside Nokia when the company held over 50% of the global mobile market — and watched from the inside as the iPhone and Android rewrote the rules overnight. He then spent five years leading AI-driven transformation of Unilever's global R&D organisation, compressing decades of laboratory work into minutes using AI and computational science.In this episode, Alberto shares the hard-won lessons from both experiences and draws striking parallels between what happened to the mobile industry and what is now unfolding with AI. From the cultural dynamics that prevent large organisations from adapting, to why domain expertise matters more than ever, to the radical rethinking of how companies, teams and even universities need to evolve - this is a masterclass in transformation from someone who has lived it.What you'll take away from this conversation:- Why the same patterns that destroyed Nokia are playing out again across industries today - How Unilever used AI to compress tens of years of R&D into minutes - Why culture, not technology, determines whether your organisation survives - The shift from hardware-driven to software-driven value creation - and what comes next - Why "humans push the ceiling and machines raise the floor" - How leaders should rethink their organisations as hybrid human-AI teams - Why the education system is fundamentally unprepared for the AI era - The skills that will define the most valuable people in any organisation going forwardAbout Alberto Prado: Alberto is a globally recognised technology and innovation leader with over 25 years of experience spanning telecoms, consumer electronics, healthcare and FMCG. He served as Global Head of R&D Digital & Partnerships at Unilever, where he led the digital transformation of R&D and the creation of the Unilever DataLab Ecosystem. Prior to Unilever, he established and led the Digital Innovation Accelerator at Royal Philips and chaired the company-wide AI Council. Earlier in his career, Alberto held executive roles at Nokia (Head of R&D Strategy), Symbian Software (VP Global Product Management), and NEC Europe. He holds an Engineering and Economics degree from Karlsruhe Institute of Technology and an MBA from INSEAD.GAEA Talks is the enterprise AI podcast for leaders navigating the age of artificial intelligence. Subscribe for weekly conversations with the people shaping the future of business, technology and society.LinkedIn: https://uk.linkedin.com/in/albertoprado GAEA AI: https://gaealgm.ai#AI #EnterpriseAI #DigitalTransformation #Nokia #Unilever #Leadership #Innovation #GAEATalks #ArtificialIntelligence #FutureOfWork #AITransformation

In this episode of Gaea Talks, host Graeme Scott sits down with Max Sebti, Co-Founder and CEO of Score, to explore how AI moves beyond chatbots and into real-world decision systems.Using elite football as a case study, Max explains how his team built a fully automated vision AI system capable of annotating an entire match in under two minutes — more accurately than human analysts. From there, the conversation expands into one of sport’s biggest unsolved challenges: how to objectively measure and translate player performance across leagues, regions, and tactical systems in a scalable, non-biased way.But this discussion goes far beyond sport. Together, they examine why framing the right business problem matters more than model accuracy, how hedge fund principles apply to AI and performance modelling, the risks of centralised AI systems trained on the same datasets, and the ethical implications of data labelling at scale. They also explore the intersection of AI and energy, the future of decentralised systems, and what all of this means for leadership, productivity, and the future of work.This is a conversation about leverage, transparency, and how to think strategically about AI in the real world. If you’re building, leading, investing, or competing in an AI-shaped economy, this episode offers a clear and grounded perspective on where the true opportunities and risks lie.The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

Melissa Reeve is an organizational transformation and AI integration expert who focuses on how companies must evolve—not just technologically, but structurally and culturally—to succeed with AI. Rather than concentrating on tools or models, her work examines how leadership, operating models, governance, and human systems must change as AI becomes embedded in everyday work.Drawing on decades of experience across lean manufacturing, agile systems, and enterprise transformation, Melissa has worked at the intersection of strategy, execution, and change. Her thinking was shaped early by studying the Toyota Production System in Japan and later through leadership roles in scaling agile and enterprise-wide transformation initiatives.She is the author of Hyperadaptive: Rewiring the Enterprise to Become AI-Native, where she outlines a practical, staged approach for helping organizations move from isolated AI experiments to becoming adaptive, learning enterprises that can sense and respond at AI speed. Her work is particularly focused on the “messy middle” of transformation—where people, roles, incentives, and culture collide with new technological capabilities.In this episode of GAEA Talks, Melissa shares insights for leaders navigating AI adoption at scale, including why most AI initiatives stall, how to overcome resistance, and what it really takes to build organizations that evolve alongside AI rather than being disrupted by it. You can find Melissa’s book "Hyperadaptive: Rewiring The Industry To Be AI- Native" at the link below.https://hyperadaptive.solutions/bookThe GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This podcast features a discussion with Richard Saldanha, who shares his background of spending 25 years in the City of London as a risk analyst, quant trader, portfolio manager and even serving as a global head of risk for a large investment manager. His career has focused on linking mathematics, problem-solving and real-world issues. He has an academic background, holding a doctorate in graph theory and multivariate statistics from the University of Oxford. Richard is a Teaching Fellow in the School of Economics and Finance at Queen Mary University of London, where he teaches statistical machine learning with applications in finance at postgraduate level.Richard is a Fellow and Chartered Statistician (CStat) of the Royal Statistical Society; a Science Council Chartered Scientist (CSci); and a Fellow and Advanced Practitioner in Artificial Intelligence of the Institute of Science and Technology – FIScT(AI).Find out more about Richard's work at Queen Mary University of London https://www.qmul.ac.uk/sef/staff/richardsaldanha.html, at the Institute of Science and Technology https://istonline.org.uk/ist-artificial-intelligence-training/ and for the Acdemic Speakers' Bureau at The London School of Economics and Political Science https://www.academicspeakersbureau.com/speakers/richard-saldanha.The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode explores how leaders, organisations, and individuals should think about AI beyond hype, focusing on governance, ethics, risk, and human responsibility. Oliver Patel shares deep insight into how AI should be used intentionally, not blindly, especially in high-stakes decision-making environments like enterprise, government, and education. The conversation unpacks what AI really is, where its risks come from, why context matters more than capability, and how human judgement, authenticity, and experience remain irreplaceable. Ultimately, this is a grounded, forward-looking discussion about how to work with AI intelligently without outsourcing thinking, values, or accountability.Oliver Patel is a leading expert in AI ethics, governance, and responsible technology, currently serving as Head of Enterprise AI Governance at AstraZeneca. His career spans academia, public policy, and industry, including research roles at University College London and work on international data policy within the UK government during the post-EU transition period. With a background in philosophy and public policy from the London School of Economics, Oliver has been at the forefront of shaping AI governance as a professional discipline, advising organisations on how to deploy AI responsibly, manage risk, and align emerging technologies with human values, legal obligations, and societal impact.Pre-order Fundamentals of AI Governance here:https://aigovernancebook.com/Click to view the Enterprise AI Governance newsletter: https://oliverpatel.substack.com/View Oliver Patel's LinkedIn profile: https://www.linkedin.com/in/oliver-patel/The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode explores the deep and often overlooked relationship between artificial intelligence and human potential. Nichol Bradford brings a long-term perspective on technology, drawing from her background in gaming, investing, and human-centred innovation to argue that AI’s true value lies not in efficiency alone, but in enhancing agency, creativity, and connection.The conversation moves beyond hype to examine how AI is reshaping work, leadership, and society itself - dissolving traditional roles, redefining competition, and forcing organisations to rethink what value creation really means. Central themes include human agency, belonging, adaptation versus adoption, and why the future of work will depend on teams, learning cultures, and leaders who can navigate uncertainty.Ultimately, the episode makes a compelling case that while AI can remove constraints, it cannot replace meaning. As synthetic content grows and automation accelerates, humans will increasingly seek what only other humans can provide: purpose, trust, creativity, and choice.Nichol Bradford is a technology investor, advisor, and long-time advocate for human-centred innovation. She is the co-founder of an early-stage venture fund focused on “human tech” — technologies designed to help people heal, grow, and thrive — and the founder of Human Tech Week, a global gathering exploring the intersection of AI, health, work, and cities.With over two decades of experience across consumer technology, gaming, and digital platforms, Nichol previously led major operations in China and worked on large-scale technology businesses and mergers. She now advises global organisations on the integration of AI and human intelligence, helping leaders understand how emerging technologies reshape agency, leadership, and value creation.Her work sits at the intersection of AI strategy, organisational design, and human potential - making her a leading voice on how societies and businesses can adapt responsibly in an era of rapid technological change.Find out more at nicholbradford.comThe GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode explores the future of creativity in the age of AI through the lens of actress, physicist and producer Eline Van Der Velden, creator of AI character Tilly Norwood. The conversation covers her journey from musical theatre and physics into film production, her experiments with AI actors, and the backlash surrounding them. Rather than focusing on fear, the episode reframes AI as a creative amplifier - comparing it to past technological shifts like the industrial revolution, robotic surgery and digital publishing. They dive into ethics, copyright, environmental impact, and how AI could democratise storytelling while preserving human creativity. Ultimately, it’s about adaptation, opportunity and how artists can thrive rather than be replaced.Eline Van Der Velden is an actress, physicist and producer, and the founder of production company Particle6. Born in Curaçao and trained in musical theatre before studying physics, Eline has built a unique career bridging science and storytelling. She previously starred in and created award-winning comedy character Miss Holland, later commissioned by the BBC, and has worked across film, TV and digital production.In recent years, Eline has become a leading voice in AI-driven creativity, creating the controversial AI character Tilly Norwood to explore how technology can amplify - not replace - human creativity. With experience spanning physics, acting and production, she brings a rare multidisciplinary perspective to the future of entertainment, ethics and innovation in the AI era.To see more of Eline's work and Particle6, visit https://www.particle6.com/The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode is a deep, strategic conversation about the next phase of AI adoption in business, moving beyond surface-level automation and failed proof-of-concepts. Graeme Scott reframes AI not as a tool for short-term efficiency, but as a long-term infrastructure decision rooted in trust, transparency, human expertise, and real-world context. The discussion explores why many 2025 AI initiatives failed, how fear-driven adoption created hidden risk, and why 2026 will mark a shift toward accountable, domain-specific, and human-augmented AI systems.Key themes include trust vs black-box AI, data sovereignty, agentic architectures, the limits of large language models, and the importance of geo-temporal context in decision-making. The episode also challenges the idea that AI will replace humans, arguing instead for augmentation at scale - where machines handle complexity and humans retain judgment, ethics, and creativity. It’s a forward-looking conversation for leaders who want AI to actually deliver value, not just headlines.Graeme Scott is a technology founder, strategist, and host of GAEA Talks, where he explores the real-world impact of artificial intelligence with leading thinkers, academics, and industry leaders. With a background spanning music, film, design, and enterprise technology, Graeme brings a rare interdisciplinary perspective to AI - viewing it not as a standalone tool, but as part of a broader system involving people, culture, risk, and decision-making.As the founder of GAEA AI, Graeme focuses on geo-temporal intelligence, risk, resilience, and trust-based AI systems designed for enterprise environments. His work centres on helping organisations move beyond surface-level automation toward AI architectures that are transparent, scalable, and human-augmented. Through both his company and the podcast, he challenges conventional AI narratives and advocates for responsible adoption that delivers long-term value rather than short-term hype.The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode explores what it really takes to move AI from hype to reality inside enterprise environments. Host Graeme Scott is joined by AI architect and data science leader Sumitro Ghatak to unpack why most AI proof-of-concepts fail, the hidden risks of rushing agentic and generative AI into production, and why trust, governance, cost, and energy usage matter as much as capability. The conversation spans AI singularity, hallucinations, enterprise risk, ROI, foundational machine-learning knowledge, and the need for a new AI leadership function inside organisations - ultimately reframing AI not as a replacement for people, but as augmented intelligence that drives sustainable growth.Sumitro Ghatak is a Lead Data Scientist and AI Architect for IBM, with over a decade of experience designing and deploying large-scale AI systems across global enterprises. With deep expertise spanning traditional machine learning, generative AI, and agentic systems, Sumitro has worked across industries in Europe, Asia, and the United States, helping organisations move AI from proof-of-concept into real-world production.An IEEE Senior Member and active reviewer for international research conferences, Sumitro also contributes to intellectual property development and AI governance initiatives. His work focuses on building responsible, scalable AI systems that balance innovation with trust, security, and long-term business value - making him a leading voice on how organisations should adopt AI without falling victim to hype.The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode features Ben Legg, former Google COO, and explores the AI revolution through the lens of work, value, leadership, and human identity. Drawing on Ben's decades of experience across the military, consulting, big tech, and global leadership, the conversation examines how AI is reshaping not just industries, but how humans define work, purpose, creativity, and status. The discussion moves beyond hype to address the deeper structural shifts underway - from the fractionalisation of jobs and the rise of portfolio careers, to AI-driven marketing, personalised economies, and the future role of CEOs and leaders. At its core, the episode asks a fundamental question: how do humans stay valuable, fulfilled, and adaptable in a world where intelligence and production approach zero marginal cost?Ben Legg is a seasoned technology executive and an expert on the future of work and artificial intelligence. His career spans leadership roles across the military, global consulting, consumer brands, and big tech - including senior positions at Google, Coca-Cola, and McKinsey. Today, Ben runs a portfolio career advising CEOs, boards, and investors, while also helping organisations understand how AI, data, and technology are reshaping business models and leadership. He is also the co-founder of the Portfolio Collective, a global community supporting professionals in building flexible, future-proof careers in an AI-driven world.The GAEA Talks podcast series to brought to you by GAEA AI https://gaealgm.ai

This episode explores how businesses should really think about artificial intelligence beyond hype, headlines, and fear-driven adoption. Jeremy Dalton, founder of XRHQ and a global expert in emerging technologies, breaks down why AI initiatives often fail - not because of the technology, but because organisations forget to anchor innovation to real business problems and human outcomes.Ultimately, this episode is about sustainable innovation: how leaders can avoid costly hype cycles, design smarter AI strategies, protect institutional knowledge, and build long-term competitive advantage by aligning technology, people, and purpose.Jeremy Dalton is a globally recognised expert in emerging technologies and the founder of XRHQ, an AI-powered platform that tracks how organisations across industries are adopting technologies such as artificial intelligence, virtual reality, and advanced automation.At PwC, Jeremy was Head of Immersive Technologies and he managed to establish and scale the firm’s Immersive Technologies team globally, delivering over 150 projects across 50 countries. The work brought together multiple emerging technologies, including AI, VR, drones, and 3D web-based experiences, supported by research partnerships and strategic consulting for business leaders.His work has been cited by the World Economic Forum, The Economist, The Financial Times, and other global institutions. As a published author, his books have been translated into several languages and used by businesses and universities worldwide. Jeremy has also served as an industrial supervisor for PhD-level research, contributing to academic studies in emerging technology.

This episode features AI strategist and policy expert Walter Pasquarelli (YouTube Channel:  ⁨@WalterPasquarelli⁩ ) diving deep into the rapid evolution of artificial intelligence and its effect on society, business, creativity, and the human mind. The conversation explores personal vs enterprise AI adoption, the rise of AI companions, the emotional impacts of synthetic relationships, robotics and humanoids, future hardware interfaces, and shifts in the labour market as AI amplifies high performers while reshaping entry-level roles. Walter provides rare, evidence-backed insights from advising governments, major tech firms, and global CEOs - painting a nuanced picture of opportunity, risk, and the mental, social, and economic transformations already underway.Walter Pasquarelli is a globally recognised writer, speaker, and expert on AI strategy and synthetic reality. He has advised Fortune 100 executives, world leaders, and royalty on the impact of generative technologies, shaping both business and government responses to AI.Previously, Walter led AI thought leadership and advisory programs at The Economist Group, influencing global policy, public, and business perceptions of AI. He has been at the forefront of the concept of synthetic reality since 2019, a term later adopted by a global consulting firm. His expertise was sought by a European presidential candidate following the first major deepfake attack on a political figure in the region.He has provided strategic AI policy guidance to major corporations, including Google, Meta, Microsoft, and Coca-Cola, as well as to government leaders across the UK, US, Canada, the European Commission, UAE, Colombia, India, Thailand, and Serbia.Find out more about Walter here, via his YouTube Channel or via his Website:https://www.youtube.com/@WalterPasquarelliwww.walterpasquarelli.comThe GAEA Talks podcast series to brought to you by GAEA AI https://www.gaealgm.ai

This episode is a deep, big-picture conversation with Zack Kass, Global AI Advisor and Former Head of Go-To-Market at OpenAI. The episode explores how AI is reshaping society, work, policy, human happiness, and our collective future. Zack breaks down the history of modern AI, explains why goalposts keep moving, and why society often misunderstands technological progress. Together, Zack and Graeme discuss attention economics, screen addiction, job displacement, political blockers, infrastructure bottlenecks, and the spiritual challenges that emerge once technology solves our material needs. At its core, the episode argues that AI is not a threat but an opportunity - one that can expand access, reduce the cost of essential goods, and spark a return to human connection, creativity, and meaning. Zack Kass is one of the leading voices in artificial intelligence and former Head of Go-To-Market at OpenAI, where he helped bring GPT-3, GPT-3.5, and GPT-4 into the global mainstream. With a decade-plus career focused exclusively on AI, Zack has worked across foundational model development, enterprise implementation, and frontier AI research. Before OpenAI, he led teams at Lilt, worked early in the data-labeling industry with CrowdFlower/Figure Eight, and has collaborated closely with innovators at Weights & Biases and CoreWeave.Today, Zack lectures at the University of Hong Kong, HKUST, and the University of Virginia, advising Fortune 500 and Global 5000 leaders on AI strategy, policy, and the future of work. His upcoming book explores how AI will reshape society over the next 30 years, emphasising access, progress, and human flourishing. Few people have been as close to the rise of modern AI as Zack, making him uniquely qualified to guide audiences through what’s coming next.

Artificial intelligence isn't just another technological shift - it's a fundamental restructuring of how society operates. In this episode, Tim Gordon explains why AI represents a deeper disruption than previous technological revolutions, and what that means for everyone navigating this transformation.Drawing on two decades of leadership across media, consulting, politics, and AI strategy, Tim explores how AI is reshaping the institutions we've relied on: the gatekeepers of information, the structure of work, the nature of creativity, and even the concept of truth itself. We discuss misinformation in the age of synthetic content, the rise of algorithmic power, why nations are racing to build sovereign AI capabilities, and how the "centaur model" of human-AI collaboration will redefine knowledge work.This conversation also tackles urgent questions: What happens when human-generated content becomes scarce? How do we preserve what makes us distinctly human? And what responsibility does this generation bear in shaping the rules that will govern AI for decades to come?About Tim GordonTim Gordon is co-founder of Best Practice AI (https://www.bestpractice.ai/), a leading advisory firm helping organizations navigate AI adoption and implementation. Over twenty years, he has led digital and data transformation across media, financial services, and campaigning, holding senior roles at the Financial Times, Boston Consulting Group, and private equity-backed ventures. He also served as Chief Executive of the Liberal Democrats.Tim advises everyone from startup founders to FTSE 100 executives and UK Cabinet Ministers. He's a trustee of Full Fact, the UK's leading fact-checking charity, and co-hosts the "Age of Intelligence" podcast with colleagues from INSEAD. His work sits at the intersection of AI ethics, economic strategy, and societal impact - making him one of the most thoughtful voices on how leaders can navigate AI's disruptive power.

This episode features Kim Simmonds, a tech-savvy lawyer and founder of a Law 365, exploring the future of law in the age of artificial intelligence. The discussion examines whether lawyers will still exist in five years, how automation and AI are reshaping legal work, and what new roles legal professionals might play in training and overseeing AI systems. Host, Graeme Scott, and Kim both discuss AI ethics, trust, bias, and data privacy, as well as the tension between human judgement and machine efficiency. The conversation also touches on AI judges, the democratisation of justice, and how technology may redefine human connection in business. It’s a forward-looking and philosophical deep dive into how society and law will adapt as AI becomes central to decision-making.Kim Simmons is a visionary lawyer and founder of Law 365, a specialist law firm for the tech sector - especially Microsoft Partners and MSPs - designed to protect revenue, shorten sales cycles, and deliver fast, commercially focused legal advice. She’s also the creator of Cloud Contracts 365, an AI-powered platform that helps businesses create, review, and manage contracts using up-to-date, industry-specific templates.Her mission is to turn legal from a blocker into a growth driver, empowering leaders to negotiate from strength, remove friction that slows scaling, and align legal strategy with long-term commercial goals. Leading a 90% female team, Kim has won multiple national awards and partnered with over 150 tech companies, from fast-growth start-ups to £100M+ enterprises. Through her work, she’s helping the next generation of tech businesses grow faster, smarter, and with less risk.

This episode features Dr Joanna Michalska, and explores the human side of AI — how awareness, ethics, and responsibility shape the technology we build. The conversation delves into human psychology, risk, and decision-making within AI systems, questioning who holds accountability when algorithms influence lives. Also discussed; data sovereignty, trust, conscious design, and the balance between innovation and human values. It’s a reflective, high-level dialogue for leaders who want to integrate AI responsibly while keeping humanity at the centre of progress.Dr Joanna Michalska is Founder of Ethica Consulting and an advisor to boards on AI risk, ethics, and governance. She holds a PhD in Strategic Enterprise Risk Management and has twenty years’ experience leading enterprise risk, strategy and transformation across J.P. Morgan and HSBC. Joanna’s research in Enterprise AI Risk bridges academic insight with boardroom practice. Through Ethica, she helps organisations build AI risk literacy, ethical awareness, and accountable governance. She speaks on AI risk, responsible leadership, and the human standard in intelligent enterprise, championing the belief that integrity, intelligence, and insight must guide technological progress.

Written by Dr Antonio Weiss, his book 'AI Demystified: Unleash the power of artificial intelligence at work' is out now! Purchase it at various retailers including Amazon, linked here: https://www.amazon.co.uk/AI-Demystified-Unleash-artificial-intelligence/dp/1292742674This episode features Dr Antonio Weiss, author of AI Demystified, in a deep and wide-ranging discussion about how artificial intelligence is reshaping society, economics, and public services. The conversation explores the tension between augmentation and replacement of human roles, the societal cost of automation, and the challenge of maintaining human creativity and authenticity in a world of generative AI. It also touches on economic flow, the “attention economy,” and the critical need for critical thinking, trust, and human agency in shaping the AI-driven future.Dr Antonio Weiss is an award-winning technology expert and best-selling author. He has advised the Office for Artificial Intelligence, the UK Space Agency and NHS AI Lab, the Government Digital Service, and other pioneering organisations on AI adoption and digital transformation. He was previously Senior Advisor on Digital, Data & Technology to the Office of the incoming UK Prime Minister. Antonio is the author of five books which have been translated into over a dozen languages. His works have been UK #1 WHSmith Bestsellers and shortlisted for the Chartered Management Institute Book of the Year Award. A popular keynote speaker, he has regularly featured on international media including on the BBC Documentary ‘Magic Consultants.’He is also an Affiliated Researcher at the University of Cambridge's Digital State programme and the co-founder of Thomas Clipper, which has featured in GQ, The Guardian and The Telegraph. He holds a PhD from Birkbeck, University of London.

This episode of GAEA Talks with Major General (Ret.) John Seumas Kerr CBE, former Major General and business leader, dives deep into leadership, critical thinking, and AI’s evolving role in society. Drawing on lessons from decades in the military and global business, Seumas unpacks how decision-making frameworks, strategy, and consequence management translate directly to modern organisations. The conversation explores the erosion of critical thinking, leadership training gaps, AI’s promise and pitfalls, and why integrity and education remain vital to the future of both business and governance. Together, Seumas and the host, Graeme Scott, weave parallels between military discipline, corporate leadership, and technological transformation—offering a masterclass in how to lead in the AI era.

Governing the Machine, out 23rd October on Amazon and other retailers. Pre-order now: https://amzn.eu/d/9PSBRAtGoverning the Machine is the essential guide to harnessing the transformative potential of AI, while navigating and mitigating its inherent risks. Authors: Ray Eitel-Porter, Dr Paul Dongha, and Miriam Vogel.This episode dives deep into AI safety, ethics, and risk governance with Dr. Paul Dongha, co-author of Governing the Machine. The conversation traces the evolution of AI from early agentic systems to today’s large language models, highlighting the risks of unchecked adoption: bias, unpredictability, data leaks, prompt injection attacks, and deepfakes. The conversation reflects upon the societal parallels with social media, the dangers of automation bias, and the urgent need for regulation, corporate responsibility, and critical thinking. Ultimately, the discussion frames AI as a powerful but unfinished technology that must be carefully navigated to ensure it benefits humanity rather than undermines it.Dr Paul Dongha is a pioneering figure in the transformational potential of AI and stands at the forefront of integrating AI within Financial Services, championing an approach that harmonizes technological advancement with corporate integrity and the Responsible use of AI. With a career spanning over 30yrs, Paul has cultivated a reputation for visionary leadership, guiding organisations in seizing AI opportunities, whilst maintaining a steadfast commitment to ethical principles.Paul is the first Bank-wide Head of Responsible AI and AI Strategy at the UKs largest bank, leading a dedicated team of ethics practitioners, and pioneering Responsible AI in the UK.

This episode of GAEA Talks explores how artificial intelligence can augment - not replace - human potential. Guests Floyd Woodrow MBE DCM and Malcolm Frame dive into the intersection of psychology, performance, and AI, discussing how technology can enhance decision-making, resilience, and personal growth. From elite sports and military training to education and business, they reveal how AI can uncover hidden patterns, provide personalised insights, and help individuals and organisations thrive. The conversation challenges the hype around AGI, focusing instead on meaningful human development and the next frontier of human-AI collaboration. Floyd Woodrow MBE DCM is a leadership specialist, author and entrepreneur. He is the chairman and CEO of Super North Star, advising CEOs from around the world in fields such as business, sports and education on leadership and elite performance. His success in business has come after a distinguished military career, including 23 years in the SAS (being one of the youngest ever individuals selected for the Special Air Service at the age of 22). For his services he was awarded the Distinguished Conduct Medal and an MBE. Floyd also heads a charitable foundation called Compass for Life, which delivers educational programmes in schools and colleges across the UK.Compass for Life is an evidence-based bespoke leadership and development programme that assists individuals and teams alike in finding their true purpose. It is perfect for a variety of people, from business leaders, international sporting champions, teachers or those simply looking for inspiration, the Compass for Life programme will help unlock an untapped pool of potential and attain your goals.Visit Compass for Life at https://compassforlife.co.uk/Floyd has also written the book 'The Warrior, the Strategist and You: How to Find Your Purpose and Realise Your Potential' available here https://www.amazon.co.uk/Warrior-Strategist-You-Purpose-Potential/dp/1783966831Malcolm was the head of psychology at Southampton Football Club and works at Peak AI, a natural Language processing system enables personality profiling and cognitive performance measurement in a simple, low-friction interface. Malcolm works with Floyd bringing a wealth of knowledge on peak performance at the highest levels of sport, particularly that of the Premier League. He has amassed years of experience helping players develop elite mindsets, with greater resilience and perspective to align with their high ambitions. Malcolm discusses how important the inner mind of a player is, on and off the field, and how to improve that. He fundamentally understands what it means to listen to elite athletes, tailor plans accordingly and coach them in a way that works for them. Helping to achieve the best outcomes for the top players from an extremely specialised approach, which he has now with the help of colleagues like Floyd, integrated into an AI platform. The combination of their experience and the power of AI, are revolutionising coaching and sports psychology.See more at https://www.peakai.com/

This episode features Christopher Lomas, VP of Product at Dow Jones, in a deep discussion on AI and the future of digital product management. The conversation explores how AI is transforming product design, data strategy, and leadership - from proof-of-concept to production, while raising urgent questions about data privacy, bias, and the human role in an AI-driven world. Christopher shares insights on building AI-powered products responsibly, the challenge of deepfakes, and the next evolution of user interfaces, offering high-level strategies for business leaders navigating AI’s opportunities and risks.Christopher Lomas is a multi-award-winning global digital products leader and Product-Led Growth (PLG) champion. Chris brings years of experience across AI, automation, data, SaaS, and large-scale product strategy, having delivered multimillion-dollar roadmaps for audiences of 100 million+ users across major global companies.Christopher is also the host of popular podcast, Human X Machine, linked here: https://linktr.ee/humanxmachineFrom building AI-powered enterprise search systems that beat Google Search CTR benchmarks by 20%, to designing predictive algorithms that generated millions in new revenue, Christopher has repeatedly turned cutting-edge technology into measurable business results.https://www.linkedin.com/in/christopherlomas

This episode features Robyn Agoston, founder of Human Fluency, exploring how leaders can navigate AI-driven transformation without losing sight of what makes humans unique. The conversation covers the challenges of building AI fluency inside organisations, the danger of treating AI purely as a cost-cutting tool, and why human skills—judgement, empathy, creativity, resilience, and purpose—remain irreplaceable. From workforce development to leadership culture, the discussion offers practical insights for executives preparing for the next decade of AI disruption.Robyn is a Digital Transformation and Change Leader with 20+ years experience guiding global enterprises through technology‑driven reinvention. Over the past 20+ years, she has led digital and AI transformations across global companies like KPMG, GSK, Novartis, Beamery, Tesco, O2, Shell, BP, and AstraZeneca. Robyn takes a multidisciplinary approach that turns AI and emerging technologies into sustainable business value. https://www.linkedin.com/in/robyn-agoston

This episode with Jon Evett - former British Army Officer (Corps of Royal Engineers & Airborne Forces) and current Global Head Business Resilience at Cartier - the iconic French luxury brand, explores how for the first time, the use of AI is enabling the reimagining of enterprise risk and resilience to deliver powerful new capabilities. Jon shares his vision on the game changing future of how to approach risk management and resilience in an ethical, logical and scaleable manner leveraging LGM based AI, founded in trust and truth.Jon Evett brings a wealth of experience as a leading subject matter expert having held senior risk and resilience roles at JP Morgan, Deutsch Bank and Canary Wharf Group, on top of a long career as an Officer in the British Army where he served in the Corps of Royal Engineers & Airborne Forces across multiple conflict zones including Iraq and Afghanistan as well as in humanitarian crisis zones including Sierra Leone during the Ebola outbreak.

This episode explores the future of AI through the lens of data ownership, trust, and human relationships. Guest Glen Cameron, founder of Bonded, discusses the need for verifiable digital evidence in an age where AI can fabricate anything. The conversation dives into the evolution of data privacy, blockchain, zero-knowledge proofs, and decentralization as tools for empowering individuals and businesses. Themes include the decline of critical thinking, the dangers of centralization, the potential misuse of AI-generated data, and the balance between optimism and cynicism in technological progress. Ultimately, the discussion highlights how AI, if engineered responsibly, can strengthen both business practices and the human experience.Glen Cameron is the founder of Bonded, a startup building the “HTTPS of Relational Proof” to solve the multi-billion dollar global “proof tax” faced by families and businesses in high-stakes situations. With over 25 years of experience across 70+ countries, Glen has led global communications and crisis strategy for major organisations, founded blockchain platforms, and specialised in Web3, regulatory compliance, and data protection. Now, at Bonded, he’s focused on creating the foundational trust layer for the future — developing solutions that protect identity, prove genuine relationships, and remain resilient in an AI-driven world.https://www.linkedin.com/in/glencameronpb/

This episode dives deep into AI for business — focusing on return on investment (ROI), adoption challenges, governance, and the real-world risks versus hype. The guest, David Reed of DataIQ, explores the gap between investor-driven narratives and the practical realities businesses face when deploying AI. The conversation covers topics like proof-of-concept failures, governance risks, the human role in AI adoption, sports analytics analogies, infrastructure challenges, and the importance of aligning AI with long-term strategy rather than short-term hype. Ultimately, it emphasises that AI adoption must balance human value, regulation, infrastructure, and practical ROI to succeed.David Reed is the author of "Winning with AI", a guide to embedding artificial intelligence into data-driven brands, and "Becoming Data Literate", a game-changing book on how to ensure data becomes central to the culture of organisations. As Chief Knowledge Officer and Evangelist at DataIQ, where he was worked since 2011, he supports leading brands, senior data leaders and their teams to drive impact from data and AI.David Reed's 'Winning with AI' on Amazon: https://www.amazon.co.uk/Winning-essential-artificial-intelligence-data-driven/dp/B0D98Q7VBV

This episode explores how Professor James Collins and his team are using AI and synthetic biology to tackle some of humanity’s biggest challenges — from designing new antibiotics to fight drug-resistant superbugs, to creating rapid diagnostic tools for global pandemics, and even engineering biology for environmental solutions like plastic recycling. The conversation goes beyond science, touching on critical thinking, failure as a driver of innovation, leadership, education, and the future role of AI. It’s a rich discussion about the intersection of technology, biology, and human resilience — and what it really takes to solve world-changing problems.Jim Collins is the Termeer Professor of Medical Engineering & Science and Professor of Biological Engineering at MIT, as well as a Member of the Harvard-MIT Health Sciences & Technology Faculty. He is also a Core Founding Faculty member of the Wyss Institute for Biologically Inspired Engineering at Harvard University, and an Institute Member of the Broad Institute of MIT and Harvard. He is one of the founders of the field of synthetic biology, and his research group is currently focused on using synthetic biology to create next-generation diagnostics and therapeutics. Professor Collins’ patented technologies have been licensed by over 25 biotech, pharma and medical devices companies, and he has co-founded a number of companies, including Synlogic, Senti Biosciences, Sherlock Biosciences and Cellarity, as well as Phare Bio, a non-profit focused on AI-driven antibiotic discovery. He has received numerous awards and honors, including a MacArthur “Genius” Award and the Dickson Prize in Medicine, and he is an elected member of all three national academies – the National Academy of Sciences, the National Academy of Engineering, and the National Academy of Medicine.

This episode is a deep dive into the future of higher education in the age of AI, featuring Scott McKinley, whose career spans finance, global higher education leadership, and Amazon Web Services. The conversation explores the misalignment between traditional academia and rapidly evolving industry needs, how AI can transform both the business and learning sides of education, and why project and team-based experiential learning is essential for preparing graduates. The discussion moves from historical context to bold predictions about hyper-personalised AI mentors (“Obi-Wan Kenobi” for every learner), the importance of lifelong learning, and the consequences of failing to adapt. The episode blends practical insights for business leaders, educators, and policymakers with visionary ideas about innovation, data privacy, and the next wave of AI adoption.Scott McKinley is a seasoned executive leading global innovation and corporate entrepreneurship in the education field throughout Asia, Europe, and the USA.He thrives on taking disparate facts, people, markets, and processes and distilling them into differentiated business models that drive sustainable innovation. Several noteworthy examples: Scott co-founded Neumont College of Computer Science (neumont.edu), led strategic and corporate engagement for Cisco’s Internet of Things education program, and led Laureate Education’s entrance into Asia. He has lived and worked outside of the US for 20 years across many Asian countries and in Europe. Scott is the founding partner of McKinley Hodge Group.

This episode features Dr Stylianos Kampakis, who offers a deep dive into the evolving landscape of AI, with a particular focus on the limitations of large language models (LLMs), the divide between consumer and business AI, and the urgent need for security, context, and trust in AI adoption. The conversation explores risks like data co-mingling, attack vectors, and over-generalisation, while also touching on blockchain, CBDCs, and the potential unintended consequences of AI legislation such as the EU AI Act. Listeners get both a macro-view of geopolitical and regulatory issues, and practical insights into business strategy, education, and the emerging opportunities—and dangers—that come with AI’s rapid integration into society.Dr Stylianos Kampakis has been an AI Expert since 2009 with 15+ years of hands-on experience. He has helped businesses raise over $50M through AI strategy, R&D, and implementation.Dr Kampakis has collaborated with top universities: London Business School (LBS), University of Cambridge, and UCL. Additionally, he was integral in pioneering Tokenomics since 2017 – as the first to propose agent-based modeling and set standards in tokenomics auditing.Dr Kampakis is also a well established author, having published 3 books on AI, Data Science & Web3.0/Crypto.Check out Dr Kampakis' books here: The Decision Maker's Handbook to Data Sciencehttps://www.amazon.co.uk/Decision-Makers-Handbook-Data-Science-ebook/dp/B0D24FKDS2Business Models in Emerging Technologieshttps://www.amazon.co.uk/Business-Models-Emerging-Technologies-Blockchain/dp/1637423136Predicting the Unknown: The History and Future of Data Science and Artificial Intelligencehttps://www.amazon.co.uk/Predicting-History-Science-Artificial-Intelligence/dp/1484295048

This episode explores the intersection of AI and the insurance industry, with Lee Howell OBE, co-founder of Acurisk, sharing insights from his extensive background in operational risk and public sector leadership. The conversation unpacks how ethical, trustworthy AI is reshaping insurance — not by replacing systems, but by sitting atop legacy infrastructure to extract actionable insights. Themes include risk mitigation, compliance, the criticality of human oversight in AI, and the dangers of relying on generalised, opaque large language models. From flood insurance to terrorism risk, the episode illustrates how subject matter expertise and explainable AI can revolutionise how policies are structured, understood, and priced — ultimately improving outcomes for clients, brokers, and insurers alike.Lee Howell OBE is an experienced Executive and Non Executive Director. A risk and insurance professional with a proven track record at board level across the insurance, healthcare, education, emergency services and local government sectors. He was also a former senior civil servant within Central Government and a Ministerial Advisor. Fundamentally, Lee is a solution focused change agent, passionate about driving innovation and delivering value through positive, strategic transformation.https://acurisk.co.uk/

James McQuivey PhD is VP, Research Director at Forrester Research. Forrester is one of the most influential research and advisory firms in the world. We help leaders across technology, customer experience, digital, marketing, sales, and product functions use customer obsession to accelerate growth.James tracks and predicts behavior change, whether among consumers or employees. In his tenure at Forrester, he successfully forecast the rise of online shopping in 1998 and more recently predicted the arrival of Amazon’s Echo platform before it existed. His models succeed because he focuses on an understanding of core human needs and motivations, using that foundation to predict why, when, and how people will try new things. In February 2013, James published his book Digital Disruption: Unleashing the Next Wave of Innovation. Currently, he is the research director for Forrester's Future of Work team, guiding a team of analysts to not only identify changes in the world of work but also prepare clients in every industry to approach these changes as opportunities instead of threats.Previously at Forrester, James ran Consumer Technographics® North America, Forrester's unparalleled consumer research effort. In addition to keynoting at industry events and Forrester forums, James is routinely sought after for comment by such publications as The New York Times and The Wall Street Journal.James comes to Forrester most recently after teaching marketing research and media management at Boston University's top-rated College of Communication. In addition, he has served as research director at WGBH in Boston and as a graduate fellow at Syracuse University.James earned his PhD in mass communication research at Syracuse University. He also holds an MBA with an emphasis in marketing.https://www.forrester.com/analyst-bio/james-mcquivey-phd/BIO27

This episode marks the end of season 1 on the GAEA Talks Podcast. Using a compilation of highlights from the range of podcasts, we delve into important, interesting and inspiring points made by the guests of the show. Hosted by Graeme Scott, these segments revolve around AI and technology, but span a variety of topics including: healthcare, education, finance, security, music, and more. #artificialintelligence #podcast #ai #news #cybersecurity #dataethics #aiandcreativity #artificialintelligencetechnology #technology

Award-winning journalist Karen Hao joins us to reveal the uncomfortable truths behind the AI industry’s biggest players. Author of Empire of AI and lead of the Pulitzer Center’s AI Spotlight Series, Karen shares what she learned after interviewing over 260 insiders—including OpenAI engineers, global community leaders, and content moderators on the frontlines. From her time reporting in China for The Wall Street Journal to editing at MIT Technology Review, Karen has had a front-row seat to AI’s rise—and its ethical failures. In this powerful conversation, she unpacks how ideology, power, and misinformation drive the development of today’s most influential AI systems. Subscribe for more unfiltered conversations on AI, power, and the future. #AI #KarenHao #EmpireOfAI #OpenAI #ArtificialIntelligence #TechEthics #TalkingAI #Pulitzer #Journalism #DataEthics #MITTechReview #SiliconValley