From oil rigs to Amazon's machine learning division and now Cambridge's DeepMind chair, Professor Neil Lawrence brings a refreshingly grounded perspective to AI. Lawrence introduces his "atomic human" concept; arguing it's not our capabilities but our vulnerabilities and limitations that make us irreplaceable. Drawing on experiences watching his coding assistant try to claim authorship and building systems at Amazon, he illuminates why accountability requires skin in the game and why machines can never truly stand behind decisions the way humans must. His mechanical engineering background shines through in vivid analogies that make complex ideas tangible and even delightful. The conversation builds to a genuinely uplifting conclusion about the next generation. Lawrence dismisses the disempowering AGI narrative sold by tech incumbents protecting their turf, arguing instead that today's young people see the world as it is and are excited to shape it. His insistence that "people aren't stupid"—from public dialogues to business customers consistently asking for improvements in healthcare and education—makes the case for staying connected to customers and trusting the next generation to steer technology toward what we care about most. It's a perfect note to end the year on: pragmatic, human-centred, and genuinely hopeful.