GAEA Talks

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.