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Tech CEOs (including Sam Altman at OpenAI and Dario Amodei at Anthropic) privately acknowledge extinction risk but rationalize continued scaling as necessary, creating misaligned incentives between safety and deployment speed

Leopold Aschenbrenner· Forethought· AI· 2026-07-20· about OpenAI, Anthropic
people sort of believe what they need to believe in order to think that they're good people and that they need to keep doing what they're doing. This is what rationalization is. And so I think that the tech CEOs have like genuinely convinced themselves that like probably things are going to be fine and that the way to make things fine is for them to keep doing what they're doing.

Why it matters

This reveals a systematic governance failure: even when CEOs acknowledge catastrophic risk, institutional incentives (first-mover advantage, investor expectations, geopolitical competition) drive continued acceleration. This suggests regulatory or structural intervention is necessary.

Investment implication

Investors should view AI lab governance as unstable and assume continued scaling regardless of internal safety signals. This increases tail risk for all stakeholders. Companies positioned to benefit from regulatory intervention (e.g., compute export controls, licensing) may see tailwinds. Conversely, pure AI labs face regulatory overhang.

Source

70% Chance AI Ends Humanity By 2027 | Leopold Aschenbrenner x Steven Bartlett (YouTube)
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