Amazon Web Services announced a new program on September 17, 2026 that gives utilities AI agents built to speed up the grid interconnection study. Agentic Grid Planning on AWS plugs into the physics-based simulation software utilities already run, automating workflows engineers use to decide whether a new data center, generator, or industrial load can safely connect to the grid. The announcement lands as queue backlogs have become the defining constraint on the AI buildout, with ERCOT alone now tracking more than 438 gigawatts of large-load interconnection requests, nearly all of it Texas data centers waiting in line. AWS described Agentic Grid Planning as a program that gives utilities access to AWS-managed AI agents that execute interconnection study workflows. The agents are not replacing utility engineers or the tools they already trust; according to the AWS press release, they run using “the same physics-based simulation software, grid models, scripts, and engineering standards” that utility teams currently rely on. The pitch is automation of repetitive analysis steps, not a rip-and-replace of established systems. AWS’s move to sell AI agents into utility back offices is a bet that software can compress a process that has historically taken years, even as the physical constraints of transformers, transmission lines, and substations remain unchanged.