Meta Platforms has contracted with data center developer Crusoe for roughly 1.6 gigawatts of AI computing capacity across two sites in Childress, Texas, and Warrenton, Missouri. FERC's upcoming guidance could require hyperscalers like Meta to fund grid upgrades and accept curtailment obligations, potentially increasing its infrastructure costs.
Meta Platforms has signed contracts to acquire approximately 1.6 gigawatts of AI computing power from Crusoe across two data centers in Childress, Texas, and Warrenton, Missouri. A single gigawatt can power around 750,000 U.S. homes, underscoring the scale of capacity Meta is securing to support its machine learning models. It remains unclear how much Meta will spend or when the power will be delivered.
The Federal Energy Regulatory Commission is set to issue guidance on faster data-center grid connections and may require large power users to cover upgrade costs and accept curtailment obligations. Hyperscalers like Meta Platforms could face new responsibilities to fund infrastructure enhancements or deploy on-site generation, which could raise operational expenses and influence site selection for future campuses.
Meta has pledged $600 billion in U.S. infrastructure and job commitments over the next three years, channeling billions into data centers and computing power to advance its AI agent technologies. The company's aggressive investment plan aims to alleviate the current supply shortage of AI infrastructure and maintain competitive parity with other major technology firms.
