Power Lines, Smarter Minds

Utilities tap AI to brace an aging grid and rising demand, gaining a resilience edge as leaders press ahead

10 Dec 2025

North America’s electricity system is coming under increasing pressure as demand from data centres, electric vehicles and new industrial sites accelerates. Utilities across the region are responding by adopting digital tools at a scale that marks a break from earlier, more cautious approaches.

Industry surveys indicate that more than 80 percent of utilities now rely on artificial intelligence or advanced analytics in daily operations. The shift reflects a need to maintain stable service even as transmission and distribution assets struggle to keep pace with rising load.

Predictive maintenance has become central to this effort. By analysing signals from transformers, substations and distribution lines, AI systems can highlight equipment at risk of failure well before outages occur. Utility operators say these early warnings help reduce repair costs and limit service disruptions. An Itron executive recently described such intelligence as a core element of building a more resilient grid. Public disclosures from NextEra also outline how AI supports planning for rapid load growth, although the company offers few technical details.

The digital transition is reshaping industry partnerships. Utilities are working with cloud providers to modernise operations and strengthen long-term planning. These arrangements give AI models access to larger data sets that inform investment decisions, supply chain planning and upgrade priorities. Analysts expect these tools to influence regulatory discussions as data-driven forecasts become routine.

Obstacles remain. Many utilities face fragmented data systems, high implementation costs and ageing infrastructure that complicates digital upgrades. Regulatory processes can also slow the adoption of new technology. Researchers argue, however, that improved forecasting and maintenance tools can help utilities manage peak demand and extend the life of existing assets.

With pressure on the grid increasing, early adopters appear positioned to guide the sector towards a network that can learn, adjust and withstand the demands of a rapidly electrifying economy.