Elon Musk’s Last-Ditch Effort to Control OpenAI: Recruit Sam Altman to Tesla
Elon Musk made a last attempt to steer the future of artificial intelligence by trying to recruit Sam Altman, the former OpenAI CEO, to lead an AI lab within Tesla. Messages from 2017 reveal internal discussions involving Shivon Zilis, a Tesla executive, about launching a rival AI research center that could be headed by Altman or Demis Hassabis, the founder of DeepMind. This move was aimed at building a strong in-house AI team to compete with emerging players in the field.
This matters because it sheds light on how Musk has sought to keep control over AI development outside OpenAI, especially given Musk’s concerns about AI risks and governance. Altman’s involvement would have given Tesla a significant boost in AI research, possibly speeding up innovations in self-driving technology and AI safety. For developers and businesses, this indicates the growing importance of competition for top AI talent and a struggle among tech leaders to define AI’s future.
The push to start a rival AI lab arose amid concerns about OpenAI’s direction and Musk’s vision for AI safety. Musk was an early backer of OpenAI but later distanced himself as the company shifted towards a more commercial approach. Tesla had already been aggressively building AI tools for autonomous driving, but the company saw a potential need to deepen its expertise by bringing in world-class AI researchers. The recruitment attempt shows the tension between different visions of AI within Silicon Valley, between openness and control, and between commercial growth and caution.
This episode signals ongoing competition and strategic maneuvering among tech giants trying to dominate AI’s future. Musk’s efforts reveal how critical AI leadership and talent are to companies that want to redefine industries and influence AI governance. The fact that Altman did not join Tesla likely shaped OpenAI’s trajectory becoming the AI powerhouse it is today. Going forward, watch how major players balance collaboration, competition, and the ethical questions surrounding AI, especially as new labs and startups emerge to challenge established actors.
— AI Quick Briefs Editorial Desk
