Google Limits Gemini Access for Meta Amid Computing Capacity Crunch

Google has reportedly imposed restrictions on Meta Platforms Inc.’s use of its Gemini artificial intelligence model. The move comes as the search giant, operating under parent company Alphabet Inc., was unable to provide the computing capacity requested by Mark Zuckerberg’s social media company.

According to a Financial Times report on Sunday (28 June), this restriction is the latest signal of global AI infrastructure tensions. Google was forced to apply limits on several large clients, with Meta being one of the most significantly affected.

Google’s policy has had a domino effect on Meta’s internal projects. According to internal sources, Meta instructed its staff to use AI tokens more efficiently to conserve limited resources.

Initially, Meta relied heavily on Gemini to automate security processes, such as removing harmful content and scams. Google’s model was considered superior to Meta’s own open-source Llama model for these specific tasks.

However, in response to these limitations, Meta has begun increasing the use of its latest internal model, Muse Spark. This step aims to reduce dependence on external models and strengthen the company’s technological independence.

Unlike Google, Meta does not sell cloud computing services, but the company has made AI investment a top priority. CEO Mark Zuckerberg has designated this technology as key to Meta’s future corporate vision. To support these ambitions amid ballooning expenditure, Meta is undertaking various strategic measures.

As of the time this report was filed, both Google and Meta declined to provide official comment regarding the reported Gemini access restrictions.