The controversy erupted at a critical juncture in the AI computing investment frenzy. According to insiders who spoke on condition of anonymity, xAI was reportedly raising capital to purchase GPU clusters needed to train its large language model Grok—a need directly tied to the hardware race at the core of AI infrastructure. Notably, Musk’s brief public denial stands in stark contrast to OpenAI’s recent $6.6 billion funding round at a $500 billion valuation, with the two companies representing the capital darlings of different technical paths in the large model arena.

The “chip hunger” is reshaping the AI industry landscape. As trillion-parameter models become the baseline, the battle for high-end chips like Nvidia’s H100 has escalated from a technology contest to a capital game. Reuters reported last month that OpenAI is considering an IPO at a $1 trillion valuation, further underscoring how computing resources are replacing data as the core asset threshold for AI companies.
Against this backdrop, the funding mystery surrounding xAI reflects a deeper industry anxiety. Although Grok has carved out a differentiated traffic channel by integrating with X platform, challenging ChatGPT’s dominance would require billions of dollars in annual computing and operational costs—a survival baseline that cannot be ignored. Industry analysts point out that even if the current rumors are denied, xAI must prove within 12 to 18 months that its capital reserves can sustain the continuous expansion of a massive GPU cluster.