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Google has reportedly restricted Meta’s access to its Gemini AI models after the social media giant requested more computing capacity than Google could provide. The move highlights the mounting infrastructure challenges even the world’s biggest AI companies are facing as demand for generative AI continues to rise.
According to a Financial Times report, Google informed Meta around March that it could not fulfill the company’s full request for Gemini capacity, disrupting some of Meta’s internal AI projects. Reuters has not independently verified the report.
The report says Meta has been affected more than other Google Cloud customers because of its unusually high demand for Gemini models. The restrictions have reportedly delayed several internal projects that rely on Google’s AI infrastructure.
In response, Meta has encouraged employees to use AI tokens more efficiently. AI tokens measure how much computing power AI applications consume, making them a key factor in managing large-scale AI workloads.
Meta has used Gemini for content moderation, scam detection, customer service, advertising tools, and software development. It is said that Meta began using Gemini because it outperformed some of its own AI models on certain tasks.
Nonetheless, Meta has recently been moving some of its workloads from Gemini to its own Muse Spark model, thereby reducing its dependence on external AI providers while still investing billions of dollars in building its infrastructure.
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The reported restrictions reflect a broader challenge across the AI industry. Companies are investing billions in chips, servers, and data centers, yet demand for AI computing continues to outpace supply.
Google has previously acknowledged that limited computing capacity has constrained growth in its cloud business despite strong customer demand. If the report is accurate, the latest development suggests that access to AI infrastructure is becoming as strategically important as the AI models themselves, with compute power emerging as one of the industry’s most valuable resources. Neither Google nor Meta has publicly commented on the report.
