U.S. Jobs Suffer Broad, Surprise Drop-Off by Justin Lahart
The U.S. lost 92,000 jobs in February, a widespread and unexpected downturn for a job market that continues to struggle across a broad range of sectors. The employment numbers, reported Friday by the Labor Department, fell far short of January’s gain of 126,000 jobs. They were also much worse than the gain of 50,000 jobs that economists polled by The Wall Street Journal had expected to see. The unemployment rate ticked slightly higher to 4.4%. While that is still low, the Friday report exposes troubling weaknesses in a labor market that has shown very little employment growth in recent months. rdHkKlPag6piGjbFnd01-WSJNewsPaper-3-7-2026.pdf

The rapid advancement of artificial intelligence (AI)—particularly the training of large-scale “frontier models”—is driving renewed growth in electricity demand. This report analyzes the technical drivers of AI power consumption, projects future demand trajectories for individual training sites and broader AI needs, and highlights energy sector implications. Their analysis found not only that the power demands of AI have increased steadily, but also that they will keep increasing. While training large, advanced AI models currently requires between 100 and 150 megawatts each, they are projected to require more than four gigawatts apiece by 2030.This Product is publicly available at Electric Power Research Institute (EPRI): 