Elon Musk's xAI is a “failure” and may struggle to compete with leading artificial intelligence developers OpenAI and Anthropic, according to Yann LeCun, founder of AMI Labs and former Meta chief AI scientist.
LeCun, often referred to as a “godfather of AI” for his early contributions to the field, during an interview with CNBC pointed to turnover among xAI’s founding team as a key weakness, arguing that the company’s leadership instability makes it difficult to attract top-tier talent.
“xAI is kind of a failure, frankly, because the founding team has departed,” LeCun said in the interview. He added that Musk may face challenges in recruiting leading AI researchers, citing what he described as strained relationships with former staff.
Over the past year, several co-founders have left xAI. In February, Musk merged SpaceX with xAI in a deal valuing the combined entity at $1.25 trillion. SpaceX’s AI-related segment, which includes xAI, reportedly posted a $2.5 billion operating loss in the three months ended March 31.
LeCun also said xAI’s large-scale infrastructure investments have become a financial necessity rather than a competitive advantage. He noted that the company has been renting out computing capacity from its data centers in Memphis, Tennessee, to other firms, including Google and Anthropic, as a way to help offset costs.
“I’m not very positive about the prospect of xAI,” he said, adding that he does not expect the company to match the performance of established competitors in the frontier AI market.
Beyond xAI, LeCun warned that the broader artificial intelligence industry could be heading toward financial strain as costs remain high despite falling prices for AI services. He said companies may need to raise prices or reduce expenses to avoid what he described as a potential “big bubble explosion.”
“The prices are going up of those AI services, but the cost of running them is going down, but not nearly fast enough,” LeCun said. “And so all of those companies are losing money. That can’t go on for a very long time.”
The comments come as enterprise spending on AI has drawn increased scrutiny, with industry leaders acknowledging pressure from the high cost of training and running large-scale models.
LeCun, who recently raised $1 billion for AMI Labs to develop “world models,” has previously been critical of large language models, arguing they are limited compared with alternative approaches to artificial intelligence development.
