Financial Times reports that around March 2026, Google told Meta it could not offer all the Gemini capacity Meta wanted...

Financial Times reports that around March 2026, Google told Meta it could not offer all the Gemini capacity Meta wanted to buy, disrupting and delaying some of Meta's internal AI projects source 3. The story was corroborated by Bloomberg source 6. This shows that Google's AI cloud services are in such high demand that even a hyperscale customer like Meta faces allocation limits. For Google, this validates strong product-market fit for Gemini and suggests pricing power or capacity expansion plans ahead. For Meta, it signals dependency on external AI compute and a bottleneck for their own AI roadmap. The constraint also implies tight supply of AI accelerators, which may benefit NVIDIA and other chip suppliers. The timing (March) and public reporting (June) indicate a sustained demand-supply imbalance in AI infrastructure.