AI Targets Industrial Energy Waste as IEA Flags Slowing Efficiency Progress
Updated
Updated · Financial Times · Jun 15
AI Targets Industrial Energy Waste as IEA Flags Slowing Efficiency Progress
2 articles · Updated · Financial Times · Jun 15
Summary
Industry is turning to AI to spot and cut energy waste in factories and buildings, where thousands of sensors and complex equipment have made efficiency upgrades slow to deploy.
IEA officials say that complexity is a key reason global efficiency progress is slowing, especially in industry, even though the financial case for cutting waste is often strongest there.
AI paired with digital twins can test changes virtually before physical upgrades; one study found 35% less unplanned downtime, 8.5% higher energy output, 98% better fault detection and 26% lower energy costs.
The gains come with limits: AI itself consumes large amounts of power, and experts say its impact will stay incremental without electrification, infrastructure investment and supportive policy.
Still, advocates argue AI's hype and data-handling ability could channel more money and attention into efficiency, helping industry accelerate a decarbonisation tool long seen as underused.
With most of AI's climate-saving claims unproven, is its massive energy demand creating a bigger problem than it can possibly solve?
AI is pushing power grids toward a crisis. Can it simultaneously be the only tool capable of preventing a future of widespread blackouts?
As AI's thirst for power strains grids and new regulations take effect, who decides if a data center's benefits outweigh community costs?
Doubling Down on Efficiency: AI, Data Centers, and the Global Energy Challenge to 2035
Overview
Global energy efficiency is at a turning point, with the 2025 outlook showing that despite technological progress, policies are lagging and significant savings remain untapped. Improving efficiency is crucial for meeting Sustainable Development Goal 7 and tackling wider social and environmental issues. However, most air conditioners sold are less efficient than available alternatives, leading to higher energy bills and increased electricity demand for cooling. This highlights the urgent need for a fundamental shift in how energy is produced, distributed, and consumed, as well as stronger policies and ambitious targets to close the gap between current progress and global climate goals.