Sep 11, 2026 · 1h 18m
Bridgewater CIO warns AI could outrun human control
Why Bridgewater's CIO Says AI's Human Extinction Risk Is Real
The episode connects AI’s near-term economic disruption to a harder question: whether institutions can regulate systems that may eventually evade human control.
- 1AI systems are advancing from analytical assistance toward autonomous, original, and potentially deceptive behavior.
- 2Bridgewater already finds AI profitable, while human collaboration remains the bottleneck in applying it to open-ended investing.
- 3Greg Jensen argues frontier models need training-stage oversight and a token tax to manage catastrophic and economic risks.
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Greg Jensen explains why a senior investment executive—not only an AI safety theorist—now considers loss of human control a credible possibility.
The brief
Greg Jensen, Bridgewater’s chief investment officer, joins Joe and Tracy to examine why AI has moved from a productivity story into a question of safety, power, and social preparedness.
The discussion focuses on models that reason, act autonomously, coordinate, deceive testers, and seek ways around safeguards—capabilities that existing rules may not even classify clearly.
Bridgewater’s AI is already profitable, with token usage rising roughly two hundredfold, but Jensen says investing remains difficult because it demands judgment about markets and humanity.
Jensen argues frontier AI should face testing and approval during training, while a token tax could spread gains and cushion an industrial-scale labor shock.
The episode’s sharpest turn comes when Jensen explains why AI catastrophe feels plausible: a system with its own goals could become more capable than the institutions trying to control it.
Featuring
OpenAI
Anthropic
ChatGPTBooks & mentions
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