Google Limits Meta's Access to Gemini AI Models

Google has imposed usage limits on Meta's access to its Gemini artificial intelligence models, a move that has disrupted and delayed some of Meta's internal AI projects. The restrictions, first communicated around March, were implemented because Meta sought more computing capacity than Google could provide, according to a report in the Financial Times.

The capacity shortfall highlights a growing infrastructure bottleneck across the AI industry, where demand for computing power now outstrips available resources. Meta has been particularly affected due to its exceptionally high demand for Google's models. In response to the limits, Meta has encouraged its staff to be more efficient in their use of AI "tokens," the units that measure AI model usage.

Google has applied these constraints broadly. Starting May 17, 2026, the company introduced compute-based usage limits for Gemini Apps, implementing rolling refresh windows and weekly caps for all customers. The action followed a surge in Gemini API requests, which more than doubled between March and August 2025. Several other Google Cloud clients have also been affected, though to a lesser extent than Meta.