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