Prompt: AI's next bottleneck is outside the data center

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The AI industry is spending billions to expand computing capacity, but money alone isn't enough to ensure new data centers are built.

Power shortages, environmental challenges and local opposition are complicating AI infrastructure expansion. And unlike the technology inside a data center, these are problems AI companies can't necessarily solve on their own.

Two developments this week illustrate the challenges companies face.

A federal judge rejected xAI's attempt to dismiss a Clean Air Act lawsuit involving gas turbines in Mississippi used to power its Colossus 2 data center in Tennessee. Companies turning to on-site power generation to avoid utility delays still face air-permitting requirements, even when turbines are mounted on trailers or described as temporary. The case illustrates how efforts to secure electricity for AI infrastructure can create legal and environmental challenges, even when companies pursue alternatives to traditional grid connections.

OpenAI, meanwhile, is taking a different approach. The company is expanding a power-flexibility initiative intended to ease pressure on local power systems by enabling future data centers to reduce electricity consumption when grids are under strain. Its Georgia campus is the first example, although important details of the agreement have not been made public.

The two developments reflect a growing challenge for AI infrastructure developers. Building more computing capacity increasingly requires negotiating how that capacity will affect nearby communities and electrical systems.

Power shortages and local opposition are already delaying data center development, while onsite generation comes with its own challenges. Nuclear power is getting renewed attention, but building new plants takes years, leaving little relief for today's power shortages.

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