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Just two days after one co-founder left, xAI lost another key leader, sparking questions about the AI startup's future amid its high-profile merger with SpaceX and impending IPO.
Elon Musk’s artificial intelligence venture, xAI, has experienced a significant leadership exodus, losing its second co-founder in two days. Influential researcher Jimmy Ba announced his departure on Tuesday, following the exit of fellow co-founder Tony Wu on Monday. These departures come as SpaceX prepares for an initial public offering (IPO) and integrates xAI into its operations through a record-setting merger.
The rapid succession of leadership changes at xAI raises concerns about the stability and direction of the company, particularly as it merges with SpaceX. The all-stock transaction valued SpaceX at $1 trillion and xAI at $250 billion, making it one of the largest mergers in history. Ba's departure is significant given his contributions to the development of Grok version 4 AI models, which are critical to xAI’s technology stack.
Despite these challenges, the merger presents significant opportunities for both SpaceX and xAI:

Jimmy Ba, a University of Toronto professor and influential AI researcher, played a crucial role in the development of xAI’s Grok version 4 models. In his announcement on X, Ba expressed gratitude for the opportunity to co-found the company but did not provide specific reasons for his departure.
Tony Wu, another key figure at xAI, announced his exit on Monday. Wu's contributions to the company have been significant, and his departure adds to the growing list of high-profile exits from xAI. Other notable departures include Igor Babuschkin, Kyle Kosic, and Christian Szegedy. Greg Yang, who has been a key figure in xAI’s research efforts, announced last month that he would be stepping back from his role to focus on his battle with Lyme disease.
The rapid succession of co-founder departures at xAI underscores the challenges faced by Musk’s AI venture as it integrates into SpaceX. While the merger presents significant opportunities for growth and innovation, the leadership changes highlight the need for strong management and strategic direction to capitalize on these opportunities effectively.
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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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11 February 2026
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