power demand

Biogas doesn’t just offer a backup plan for tech companies seeking more power; it provides a blueprint for sustainability. By transforming landfill, agricultural, and wastewater emissions into usable power, biogas solves two problems at once: it reduces fugitive methane emissions, a potent greenhouse gas (GHG), and generates renewable electricity. This is energy that’s good for […]

The explosive growth of hyperscale data centers is reshaping the power sector at unprecedented speed. In just a few short years, load requests from data center operators have gone from occasional filings to a full-on wave of gigawatt-scale development across North America. While much attention has been paid to the trend of co-locating data centers […]

The U.S. is bracing for a reality where artificial intelligence and data centers overwhelm the power grid, and rightfully so, as America seeks to lead the global AI race. But this push is coming at the same time that the federal government is reshuffling fiscal priorities and prioritizing energy independence. While that dynamic may seem like a challenging juxtaposition, one thing is clear: regardless of political affiliation or preferred priority, if the U.S. wants to lead the world in AI, it must power it first.

As artificial intelligence (AI) usage and sophistication grows, questions about the sustainability of the traditional model of utilizing huge, centralized data centers are frequently raised. Hyperscale data centers handle most AI workloads today, but they come with high energy demands and environmental costs.

U.S. power infrastructure—the intricate physical fabric that laces together generation, transmission, and distribution—is under intensifying strain. Outdated and overextended, it must now absorb relentless growth from electrification and data centers or risk escalating reliability threats, surging costs, and a weakened global competitive edge. POWER examines the dysfunction and what it will actually take to future-proof […]

A startup company led by former executives with major technology and energy groups is betting on the use of natural gas and battery energy storage to provide data centers with on-site power, freeing those sites from reliance on the traditional power grid.

While many utilities are hardening power grid infrastructure by upgrading poles and wires—a necessary step—brute force solutions alone won’t be enough. To truly future-proof the grid, resilience must be rooted in intelligence via systems that anticipate, adapt, and respond dynamically.

The U.S. power sector stands at a juncture, facing a confluence of factors that are poised to trigger an era of unprecedented growth and necessitate a large influx of capital. Driven by the increasing demand from data centers, the reshoring of manufacturing, and electrification across transportation, heating, and industry, the demand for electricity is rising at a pace unseen in recent decades.

Today’s data centers, the workhorses of our digital economy, face a paradox. While they are asked to fuel the rapid advancement of generative AI, they must do so under increasingly tight energy budgets, with sustainability mandates and power constraints threatening to slow innovation. The question isn’t whether AI will transform industries—it already is—but whether our infrastructure can keep up without buckling under the weight of AI’s energy appetite.

Seven major U.S. grid operators have raised a unified alarm about an impending capacity crunch, warning that the pace and scale of explosive demand—including from data centers, manufacturing, and electrification—pose a precarious misalignment with accelerating generator retirements and transmission constraints. At a March 25 hearing before the House Energy and Commerce Subcommittee on Energy, the […]