According to DeepLearning.AI, companies including Meta and OpenAI are developing privately owned, gas-powered generation plants directly tied to data centers to secure reliable electricity for AI workloads, bypassing grid interconnection delays and constraints (as reported by DeepLearning.AI referencing The Batch). According to The Batch via DeepLearning.AI, these on-site plants could supply a significant share of future data center energy demand, enabling rapid AI capacity scaling and predictable power pricing. However, according to DeepLearning.AI, the approach raises concerns over higher capital and fuel costs, lock-in to natural gas, and increased greenhouse gas emissions compared with grid-sourced renewables. For vendors and operators, the business opportunity centers on power purchase structuring, microgrid controls, fast-ramping turbines for GPU clusters, and carbon-accounting solutions, according to The Batch via DeepLearning.AI.