Discover what a hyperscaler is, which companies dominate the market, and why these cloud giants are investing billions in AI ...

The power demand of AI data centers is only going to grow, so the U.S. energy grid needs to adapt—fast. Reading time 7 minutes Few events in history have tested the U.S. energy grid like the AI ...

AI data centers put particular strain on their power supply when they are training new models — a process that mobilizes all of the graphics processing units in unison. Like the digital equivalent of ...

Tech companies charging ahead with artificial intelligence have a problem: AI’s rapid growth is colliding headlong with a finite amount of available energy and computing power. AI is evolving beyond ...

Microsoft, Meta, Google and Amazon are betting billions on nuclear power to fuel AI data centers—reviving an industry stalled ...

The White House issued a stark warning in July 2025: Without $1.4 trillion in new infrastructure investment, electricity prices could surge as much as 58% by 2030. That’s driven mostly by the ...

Brookfield is quintupling the size of its AI power partnership with Bloom Energy.

The hyperscalers have a math problem. US power generation from data centers is projected to climb from about 5% of the total to roughly 15% over a five-year span, a step change on a grid that has ...

Why megawatts, siting, firm generation, and power-aware design are becoming the real inner loop of the artificial intelligence (AI) race. “We are knocking on the door of these incredible capabilities.

In March, Microsoft, Google, Amazon, Meta, OpenAI, Oracle, and Elon Musk’s xAI joined President Trump at the White House. Together, they signed a document that will reshape how AI’s biggest companies ...