People Managing People From Tools to Agents: Preparing for the Next Phase of AI at Work
Jan 27, 2026
Christopher DiCarlo, a researcher on AI risk, ethics, and governance, challenges leaders to rethink AI as a paradigm shift. He discusses the AGI race, winner-take-all incentives, and corporate moral dilemmas. Conversations cover agentic AI, governance gaps, data and privacy risks, and practical steps for executives to learn, tinker, and plan for a future that reshapes work and power.
AI Snips
Chapters
Transcript
Episode notes
The Winner‑Take AGI Race
- Massive investment in compute aims to win AGI because early winners gain disproportionate economic and strategic power.
- This winner‑take‑all race accelerates development and reduces society's time to adapt or regulate.
From Ping‑Pong To Sleeping In Offices
- A Bay Area CEO described a culture shift from ping‑pong and flex time to sleeping in offices as competition for AGI intensified.
- Christopher DiCarlo used this to illustrate how the race changed workplace norms and urgency.
AI Agents Versus Human Workers
- Replacing human roles with AI agents is economically tempting because agents are cheaper, faster, and don't demand benefits.
- That shift forces CEOs into a moral dilemma between duties to shareholders and obligations to employees.