
Grid planners, utilities and developers say AI is forcing new approaches to transmission, interconnection and reliability as demand outruns decades of planning.
AI data centers are forcing electric utilities to fundamentally redesign how they plan and operate the power grid. For decades, utilities expected flat or modest electricity demand growth, but hyperscale data centers can now demand hundreds of megawatts or even gigawatts at single locations, creating urgent pressure across transmission lines, substations, transformers, and interconnection processes. The challenge extends beyond simply building new power plants, as utilities must now manage complex infrastructure upgrades and coordinate with grid reliability organizations to integrate these massive new loads into existing systems. Equipment shortages, long permitting timelines, and competition from other industrial users for limited electrical capacity mean that power availability has become the primary constraint driving where and whether data centers can be built.

Not everyone is buying Elon Musk’s vision for orbital data centers.

Responsible land use is key to sustainable data center growth, balancing environmental care, community value, and digital infrastructure needs, writes atNorth’s Johann Thor Jonsson.

Nvidia has dominated the AI chip market for years, but the era of total dependence might be ending. OpenAI just shared its plans to spice things up with Jalapeño, its custom inference chip built with Broadcom, joining Google, Apple, and SpaceX in a growing list of companies building their way out of single-supplier risk. The goal is less of a […]
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