Infrastructure

A new interconnection rule and a statewide permitting freeze are converging on the same outcome: developers absorb more of the grid's risk, on a slower clock.

At Bloomberg's New Economy Forum in New Delhi, NTT Data and Brookfield executives said electricity access and a shortage of skilled trades — with U.S. electricians now earning roughly $200,000 a year — are setting the pace of AI data center construction more than GPU supply.

Federal regulators sent PJM's "curtail-first" proposal for large flexible loads back for revisions, leaving the grid operator without a settled rulebook for how AI data centers get treated during shortages.

A chaotic vote to pause new AI data centers in Elon Musk's adopted hometown shows how local politics, not grid capacity, is becoming a binding constraint on where AI infrastructure gets built.

A reported threat to curtail Amazon's Mississippi data centers during peak demand suggests even the most AI-friendly utility contracts keep hyperscale compute on a leash — and the fine print matters more than the headlines.

Denmark's parliament voted October 1 to scrap first-come-first-served grid access and rank most data centers in the lowest of four priority tiers, formalizing Europe's sharpest legislative pushback yet against AI-driven electricity demand.

A $300 million commitment to absorb rising Point Beach reactor costs shows a hyperscaler monetizing rate-case risk rather than adding generation to a constrained grid.

Google has agreed to buy nearly 3.6 gigawatts of power from Constellation Energy, funding nuclear plant uprates across three states as hyperscalers race to secure electricity ahead of chips.

A $1 billion investment-grade loan for Lambda and an $8 billion chip shuffle at Amazon, closed a day apart, expose a widening gap in how lenders price AI infrastructure — and it has real consequences for who gets funded next.