PJM Interconnection, a regional transmission operator in the US, has announced a multi-year collaboration with Google and Tapestry—a Google-backed initiative described as a “moonshot for the electrical grid”—to deploy artificial intelligence (AI) tools meant to reduce the time it takes to process new generation interconnection requests, aiming to streamline grid planning and boost efficiency.
The initiative is part of PJM’s broader effort to streamline the complex planning processes required to connect new generation resources to the nation’s largest power grid, with a growing backlog of projects and rising electricity demand across its 13-state footprint.
At the centre of the partnership is Tapestry, which will work closely with PJM to develop AI-driven tools and models—powered by Google Cloud and DeepMind—to improve how PJM evaluates, prioritises, and advances interconnection applications.
Tapestry’s AI solutions aim to increase decision-making speed and accuracy in PJM’s planning department—making it easier to assess project feasibility, manage transmission constraints, and anticipate impacts on grid stability. According to Tapestry’s senior management, AI can play a pivotal role in improving and expanding the electricity system while maintaining reliability and security.
This collaboration builds on PJM’s reforms to its interconnection process, which began in July 2023. Of the roughly 200 GW of proposed new generation capacity under review, PJM plans to complete processing of the remaining 67 GW during 2025-26. A new interconnection cycle process is expected to begin in early 2026, alongside PJM’s recently announced Reliability Resource Initiative, which offers an expedited path for selected projects.