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Industry · Jun 28, 2026

Google restricts Meta’s access to Gemini AI models amid compute constraints

Alphabet’s Google has limited Meta’s use of its Gemini AI models due to unmet demand for compute capacity, disrupting some of Meta’s internal AI projects, according to the Financial Times.

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TL;DR
  • Google has imposed limits on Meta’s access to its Gemini AI models after Meta sought more compute capacity than Google could provide.
  • The restrictions have disrupted and delayed some of Meta’s internal AI projects, the Financial Times reported.
  • Several other Google clients have also been affected, though to a lesser extent.
  • Meta has encouraged staff to use AI tokens more efficiently as a result of the constraints.

Google, a unit of Alphabet, told Meta around March 2026 that it could not meet the full Gemini AI model capacity Meta had sought to purchase, according to the Financial Times. The shortfall disrupted and delayed some of Meta’s internal AI projects, the report said.

Meta’s unusually high demand for Google’s AI models made it particularly vulnerable to the imposed limits, the FT added. Several other Google clients were also affected, though to a lesser degree.

As a result of the restrictions, Meta has directed its staff to use AI tokens—units that measure AI usage—more efficiently, the report noted.

The development comes amid broader industry-wide struggles to secure sufficient compute power to support growing demand for AI services, even as companies invest billions in chips and data centers.

Google Cloud reported $20 billion in revenue for the first quarter ended March 2026, but CEO Sundar Pichai cited compute power constraints as a factor limiting even higher growth and contributing to a backlog that nearly doubled quarter over quarter.

Sources
  1. 01CNBC — Google limits Meta’s use of its Gemini AI models, FT reports
  2. 02Financial Times — Google limits Meta’s use of its Gemini AI models
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