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 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