Lila Ibrahim discusses how Google DeepMind is embedding learning science into AI through LearnLM and Gemini, enabling more pedagogically grounded tools that save teachers time and support neurodiverse learners. She emphasizes that responsible AI adoption requires global collaboration, localization, and proactive ethics—especially amid rising concerns about cheating, equity, and eroding critical thinking. As AI reshapes labor markets, traditional degrees are losing relevance, apprenticeships are gaining traction, and mid-career professionals face steeper adaptation challenges than students. Ibrahim highlights DeepMind’s interdisciplinary approach—uniting psychology, neuroscience, ethics, and economics—to guide development from day one, contrasting it with industry peers who often retrofit safety. Ultimately, she argues that teaching AI literacy early, building diverse teams, and centering human strengths aren’t optional extras—they’re foundational to harnessing AI’s potential without compromising our values or institutions.