US artificial intelligence expansion confronts major electricity supply constraints as power demand from data centers strains grid capacity

Maine IBEW business manager argues recent policy changes benefit both electrical workers and electricity ratepayers across the state

Portsmouth Naval Shipyard IBEW Local 2071 members each received $1,000 from Second District locals during six-week government shutdown, rewarding those who rejoined after executive order ended dues deductions

IBEW Local 1439 honored Stephen Lindewirth for five years of service and Treasurer Ray Rose for 35 years during recent ceremony with President Chad Fletcher

Nearly half of Americans expect data centers to become a campaign issue within five years, with top concerns centered on electricity bill increases and blackout risks, new Politico poll finds

Data center landlords securing top credit ratings for asset-backed securities to unlock billions in financing, with Compass Datacenters achieving first-ever Aaa rating from Moody's

IBEW Local 648 says data centers could bring 800-1,200 construction jobs, but researchers warn facilities are capital-intensive while creating few permanent positions despite massive tax breaks

2028 Democratic contenders who backed data centers with tax breaks are suddenly retreating amid growing voter revolt over electricity costs and community impacts

Ten years after the Paris Agreement took effect, newly released climate data shows 2025 ranking among the three hottest years on record, with ocean heat and sea levels reaching new highs. Efforts to phase out fossil fuels remain insufficient, and with the U.S. having withdrawn from the accord, the world is on course to significantly overshoot its climate targets.

A new independent report analyzing 154 statements from major tech companies and the IEA found no verified examples of generative AI tools, including Google's Gemini and Microsoft's Copilot, delivering measurable reductions in greenhouse gas emissions. Researchers say companies are deliberately conflating energy-efficient traditional machine learning with the far more power-hungry generative AI to mislead the public about the technology's climate impact.