Google Cuts Meta Off from Gemini AI as Cloud Capacity Shortage Spreads Across Tech Sector

Google has cut off Meta's access to its Gemini AI models and cloud computing resources, citing a severe shortage of capacity that has spread across the technology sector as demand for artificial intelligence infrastructure continues to outpace supply.

The move, reported by TechStartups on June 29, reflects the scale of the AI infrastructure crunch that has been building throughout 2026. To compensate for its own capacity shortfall, Google signed a deal to rent cloud computing resources from SpaceX, an unusual arrangement that underscores how tight the market has become.

The shortage is not limited to Google. Industry analysts estimate that 30 to 50 percent of planned U.S. data center projects are facing delays due to constraints on power grid capacity, cooling infrastructure, and specialized AI chips. Companies that had announced aggressive expansion plans are now pushing back timelines by months or years.

The bottleneck has driven up the cost of AI compute for businesses that rely on cloud providers. Several startups have reported that their cloud bills have increased significantly over the past six months, even as they have tried to reduce usage.

South Korea announced an $880 billion, decade-long plan to address the global chip shortage, with Samsung and SK Hynix at the center of the effort. The initiative focuses on AI chips, high-bandwidth memory, and robotics, positioning South Korea as a key supplier in the global AI supply chain.

China added to the competitive pressure by announcing that its "LineShine" supercomputer has surpassed the U.S. "El Capitan" system to become the world's fastest, using domestically produced processors that circumvent Western export controls.

The capacity crunch is expected to persist through at least the end of 2026, with relief coming only as new data centers come online and chip production ramps up.