EPISODE · May 27, 2026 · 19 MIN
DeepMind's CEO on AGI by 2030, Jensen Pushes Back on AI-Proof Careers, AI Hiring Is Biased
from Today’s AI News · host NineX Productions
Today we're going deep with one of the most important voices in AI right now. Google DeepMind CEO Demis Hassabis says AGI is on track for 2030 — give or take a year — but a few things remain unsolved: world physics, memory, consistency, and continual learning. He maps out which diseases AI will crack first — oncology and immunology leading the way — and shares what he personally plans to do after AGI arrives, turning to the nature of reality itself and what it means to be human. Jensen Huang pushes back on the growing panic around what to study, arguing that taste, original thinking, and emotional connection will be more valuable than ever — not less — and calling the narrative linking AI to job cuts "lazy." Plus, a Stanford study analyzing 4 million job applications found AI hiring tools are creating clear racial disparities, with Black and Asian applicants disproportionately screened out — sometimes rejected across every company using the same shared model — and today's community workflow comes from Todd in Chicago and his best friend in Minnesota, who share a single ChatGPT conversation to plan every trip, research every restaurant, and build every itinerary together across state lines.
What this episode covers
Today we're going deep with one of the most important voices in AI right now. Google DeepMind CEO Demis Hassabis says AGI is on track for 2030 — give or take a year — but a few things remain unsolved: world physics, memory, consistency, and continual learning. He maps out which diseases AI will crack first — oncology and immunology leading the way — and shares what he personally plans to do after AGI arrives, turning to the nature of reality itself and what it means to be human. Jensen Huang pushes back on the growing panic around what to study, arguing that taste, original thinking, and emotional connection will be more valuable than ever — not less — and calling the narrative linking AI to job cuts "lazy." Plus, a Stanford study analyzing 4 million job applications found AI hiring tools are creating clear racial disparities, with Black and Asian applicants disproportionately screened out — sometimes rejected across every company using the same shared model — and today's community workflow comes from Todd in Chicago and his best friend in Minnesota, who share a single ChatGPT conversation to plan every trip, research every restaurant, and build every itinerary together across state lines.
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DeepMind's CEO on AGI by 2030, Jensen Pushes Back on AI-Proof Careers, AI Hiring Is Biased
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