Report Reviews

By 2030, renewables will supply 43% of global power—over 4,600 GW, twice 2022’s total. Yet nearly one point of today’s demand growth stems from “AI + AC.” Data centers, once grid burdens, now accelerate renewables—adding 110 TWh, or ~54 GW, of clean capacity by 2030.

The America’s AI Action Plan recognizes AI’s massive energy demands and offers tools for permitting, workforce, and diplomacy. Yet it remains a political document, sidestepping climate goals and privileging fossil reliability over renewables—leaving decarbonization unfinished.

The white paper is notable, not because it solves the AI challenge but because it acknowledges it. Its insistence on human engagement, explainability, and cybersecurity is both timely and necessary.

In a year marked by historic energy stress and exponential data growth, a new report from the U.S. Department of Energy (DOE) offers a consequential claim: the United States may be unable to power its own artificial intelligence (AI) future. The document, titled Report on Evaluating U.S. Grid Reliability and Security (Washington, DC: Department of Energy, July 2025), asserts that the fate of American AI leadership is increasingly tied to the adequacy of its electric grid.¹ The conclusions are f

Artificial intelligence, in its rise from computational experiment to cultural force, has become more than an abstract function of algorithms and hardware. It is an industrial force, with demands that echo the steel mills and textile factories of the nineteenth century.

AI is reshaping global energy, driving surging electricity demand while unlocking breakthroughs in innovation, resilience, and sustainability. The future of energy and AI is intertwined—and the choices we make now will define both.