Google capped Meta’s use of Gemini AI models around March 2026 after Meta sought more computing capacity than Google could provide. The restriction disrupted Meta’s internal AI projects and forced employees to ration AI tokens. It came weeks before Meta AI chief Alexandr Wang announced a Muse Spark update aimed at cutting the company’s dependence on rival models for coding and agentic tasks. Google capped Meta’s use of Gemini AI models around March 2026 after Meta sought more computing capacity than Google could provide. The restriction disrupted Meta’s internal AI projects and forced employees to ration AI tokens. It came weeks before Meta AI chief Alexandr Wang announced a Muse Spark update aimed at cutting the company’s dependence on rival models for coding and agentic tasks.
