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AI Burnout Is Real: Ted Yang on Cognitive Overload, Judgment, and Staying Mentally Sharp in the Age of AI

Published 2 days, 1 hour ago
Description

We were told AI would give us more time. For a lot of people, it has done the opposite. More tools to learn. More decisions to make about which tools. More anxiety about whether we are using them right, or falling behind if we are not. There is a new kind of fatigue showing up quietly in people's lives, and almost nobody is naming it yet. It is not burnout from AI taking your job. It is burnout from using AI.

Sana sits down with Ted Yang, MIT engineer, former finance executive at Bridgewater and Citadel, founder of more than 12 companies, and author of Ageless Peak Performance, to flip the conversation. AI, used the right way, should not add to your cognitive burden. It should quietly lift some of it off you. They cover the four principles for healthy AI use, why your judgment becomes more valuable with age, and why protecting your humanity is the work.

 About the Guest:

Ted Yang is an MIT engineer, entrepreneur, and former finance executive at Bridgewater and Citadel who has founded more than 12 companies. A worldwide speaker at TEDx, South Summit, Startup Grind, and university commencements, he serves on Connecticut's Board of Regents for Higher Education and is raising a family of two special needs children. His book Ageless Peak Performance: The Playbook for AI-Powered Excellence releases May 18, with endorsements from Governor Ned Lamont and former US Secretary of Education Miguel Cardona.

 Key Takeaways:
  • AI burnout is real, and it is not about the technology itself. It is about using AI to do more of everything instead of using it to rebalance what you carry.
  • Cognitive overload happens when you have too much to keep track of at a good quality level. Even with AI doing the work, your brain still has to manage it.
  • Pattern recognition and judgment improve with age. AI does not replace experienced professionals — used well, it amplifies the very capabilities they have spent decades building.
  • Treat AI like an intern, not an oracle. It is fast and capable, but it makes confident mistakes and does not admit them.
  • Aim first, then accelerate. Make AI flow. Keep your judgment at the center. The four principles for a healthier relationship with AI.
  • AI is not yet ready to replace trained therapists. The path from theory to safe practice took psychoanalysis decades. AI is in a similar early stage and should not be used in place of mental health professionals.
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