Top Stories
All Sections
Finance
About
10 results for "renewable energy"
AI grid management tools are cutting operating reserve costs by up to 15% and dramatically reducing renewable curtailment — as aging infrastructure buckles under AI data center demand and accelerating electrification.
Solar PV accounted for 83% of all new electricity generation capacity added globally in 2025, and for the first time, renewables surpassed coal in total global electricity generation. The challenge now isn't building clean energy — it's using it efficiently.
China added 430 gigawatts of renewable energy in 2025 alone and is co-locating AI data centers in surplus clean-power zones, creating a structural electricity cost advantage over US AI infrastructure that export controls and chip restrictions cannot address.
AI data centers scale in 12 to 18 months. Renewable energy takes three to five years. Carbon Direct's 2026 outlook shows the mismatch is forcing hyperscalers into natural gas while climate commitments quietly erode.
AI workload scheduling — not new power plants — is the fastest available solution to data center grid stress, as AI forecasting now predicts renewable output at 95%+ accuracy.
A World Economic Forum analysis finds that AI-enabled tools — not government policy — have become the primary driver of renewable energy deployment speed, as global renewables added 793 GW in 2025 and surpassed coal in electricity generation for the first time.
AI data center demand is funding renewable energy projects at record pace — and simultaneously overwhelming the transmission infrastructure needed to deliver that power.
AI data centers are adding grid loads equivalent to mid-sized cities while simultaneously becoming the largest driver of new renewable energy procurement globally — forcing utilities to rethink decades-long planning timelines.
A new U.S. energy outlook projects AI data centers will account for 55% of all electricity demand growth through 2050 — stressing the grid while paradoxically accelerating the renewable energy build-out as hyperscalers buy clean power at scale.
Researchers trained an AI across 13,000 virtual energy systems to produce the most constraint-aware renewable energy projections yet — a new planning tool for energy policymakers and investors.