The Leadership Crisis at OpenAI: Lessons for Investors

By Patricia Miller

Jun 06, 2026

2 min read

Mira Murati reveals OpenAI's November 2023 crisis, emphasizing leadership tensions and implications for AI investors.

Mira Murati, previously the Chief Technology Officer at OpenAI, detailed the tumultuous period during the company's leadership crisis in November 2023. She emphasized that OpenAI could have faced dire consequences had Sam Altman not returned as CEO.

What triggered the crisis at OpenAI? On November 17, 2023, OpenAI's board removed Altman due to management style issues, and Murati stepped in as interim CEO. Recognizing the potential for disaster, Murati quickly advocated for Altman's reinstatement, gathering support from employees and investors who agreed that his leadership was critical to OpenAI's future.

Five days later, the company saw a significant shift as Murati was replaced by Emmett Shear, the former CEO of Twitch, in the interim role while Altman returned to power on November 22. This rapid turnover highlighted the fragility of the company’s governance during a tense time.

Why was this reinstatement significant? Altman's return signaled a major governance restructure at OpenAI. The board members responsible for his firing were replaced, and Microsoft, which holds a substantial investment in OpenAI, assumed a more active role as a board observer.

Murati's insights also resonate within the context of a lawsuit filed by Elon Musk against OpenAI, where her testimony surfaced concerns regarding leadership dynamics and the company's ability to handle its rapid growth.

What has been the outcome for Murati and the industry? After leaving OpenAI in September 2024, she founded Thinking Machines Lab in early 2025, which attracted a notable $2 billion seed round, leading to a valuation of $12 billion.

The November crisis underscored the tension between OpenAI's nonprofit mission and its commercial ambitions. Ultimately, Altman prevailed, yet the ongoing struggle between mission-based governance and profit-driven management remains a critical discussion point in the broader AI sector. Investors should remain vigilant as these dynamics could influence AI market strategies and outcomes.

Important Notice And Disclaimer

This article does not provide any financial advice and is not a recommendation to deal in any securities or product. Investments may fall in value and an investor may lose some or all of their investment. Past performance is not an indicator of future performance.