Altman Presents Three AI Safety Scenarios Internally
OpenAI CEO Sam Altman has presented three scenarios for safely managing AI in an internal presentation. The proposals include establishing an international oversight body, integrating major AI companies, and one company having the power to forcibly halt other companies' computing resources. Altman himself has characterized the last scenario as 'terrible.'

OpenAI CEO Sam Altman has revealed that he presented three scenarios for safely managing AI during an internal presentation. All three scenarios stem from a strong concern about the current uncontrolled competitive development of AI, and their content merits attention when considering the trajectory of the industry.
As AI continues to develop rapidly, the situation in which major research institutions and companies independently compete in development poses significant risks from a safety management perspective. Like nuclear and biological weapons, the question of which organization will manage and monitor advanced AI capabilities and how they will do so has become a serious topic of discussion in international forums. In this context, Altman's presentation of specific scenarios to his own organization demonstrates that awareness of these issues is growing from within the industry.
The first scenario presented by Altman involves establishing an international oversight body modeled after the International Atomic Energy Agency (IAEA). The IAEA is an organization that internationally manages and monitors nuclear technology, and the idea is to create an AI equivalent. The second proposal is to integrate major AI research institutions and companies into a single organization, consolidating fragmented development entities to centralize management.
The third scenario involves one company having such overwhelming power that it could disable the computing resources (hardware used for AI processing, such as GPUs) held by other companies and institutions. Altman himself has characterized this scenario as 'terrible,' and does not advocate it as a realistic option. Rather, it appears to have been presented as one possible extreme outcome that could occur in the future.
The significance of these three scenarios can be understood as a mirror reflecting the current state of AI safety discussions. While technological progress continues, the development of international frameworks lags significantly behind, and there remains no global consensus on which entities will develop and operate AI, under what rules, and under whose oversight. Altman's scenarios can be positioned as a thought experiment exploring how to fill this void.
The key point to watch going forward is whether these ideas remain confined to internal corporate discussions or whether they influence policy and international dialogue. The construction of an international AI governance framework is still being explored by national governments and international organizations. How the industry's top leaders envision the future internally can serve as an important indicator for understanding the direction of these discussions.
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