The best AI investment might be in energy tech
Power has become one of the biggest bottlenecks in rolling out new AI data centers. That’s creating an opening for investors.
Power has become one of the biggest bottlenecks in rolling out new AI data centers. That’s creating an opening for investors.
Senators Josh Hawley and Elizabeth Warren want the Energy Information Administration to gather more details about how data centers use power — and how that affects the grid.
Fusion, fission, and even natural gas are appeared tied in the race to deliver new power to the grid in the early 2030s.
Ayr Energy is using a shortage of power conversion equipment to break open a decades-old market.
PJM Interconnection — which oversees the grid for some of the densest data center developments on Earth — wants to overhaul itself. Not everyone thinks it’s up to the task.
The price spike is a reminder of a deeper problem: The U.S. power grid was not designed for the electricity demands of an AI-driven economy, and the gap between what the grid can deliver and what the industry needs is widening.
Lake Tahoe, Silicon Valley’s favorite vacation spot, is about to get hit with higher energy prices as AI drives demand for electricity.
Stealthy startup Arcturus uses lasers to infuse carbon nanomaterials into copper, dramatically improving its ability to conduct electricity.
New data centers built through 2033 could consume as much electricity as India uses today.
A close call in Northern Virginia revealed just how poorly data centers respond to grid disruptions. Here’s how to fix the problem.