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Altman's initiative signals OpenAI's commitment to tackling AI risks head-on, from cyber threats to mental health impacts, as the company faces mounting pressure to ensure its technology does not cause harm.
Sam Altman, the CEO of OpenAI, is taking a proactive step to address the growing concerns surrounding the dangers of artificial intelligence by personally leading the hiring of a "Head of Preparedness." This senior role will focus on monitoring and mitigating risks associated with advanced AI models, including cyber misuse, mental health issues, and biological threats. The move underscores the increasing urgency within OpenAI to manage the rapid progression of AI systems and the potential harms they could pose.
The appointment of a Head of Preparedness at OpenAI is significant for several reasons:
The rapid advancement of AI technology brings with it several significant risks that the Head of Preparedness will need to address:

While the risks are substantial, the creation of this role also presents significant opportunities:
The job posting for the Head of Preparedness was published on December 27, 2025. Key responsibilities include:
The role is designed to be a critical part of OpenAI's broader strategy to manage the ethical implications of AI development. Candidates will need a strong background in cybersecurity, risk management, and AI ethics.
Sam Altman's initiative to hire a Head of Preparedness at OpenAI reflects a growing recognition within the tech industry that the rapid advancement of AI must be accompanied by robust safety measures. By addressing potential risks proactively, OpenAI aims to set a standard for responsible AI development that can benefit both the company and the broader community.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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