Grid operators warn that the power infrastructure cannot simultaneously handle rapid AI datacenter growth and increasing wildfire-driven outages.

Federal regulators handed utilities a deadline this summer that has nothing to do with a storm or a heat wave. On July 16, the Federal Energy Regulatory Commission ordered the North American Electric Reliability Corporation to write mandatory reliability standards for a new class of grid customer: the AI data center. NERC has until December 31 to figure out how to fold gigawatt-scale computing campuses into a system built to move electricity, not manage it.

The scope of the challenge is substantial. Gartner expects power shortages to operationally constrain 40 percent of existing AI data centers by 2027. Bloom Energy's latest power report puts U.S. data center IT load at roughly 80 gigawatts today, climbing toward 150 gigawatts by 2028—more than double what forecasters were projecting two years earlier. FERC's order is a direct response to those numbers.

Tom Eyford, Oracle's global industry specialist for utility operations solutions, compares the impact to something grid operators already plan around: losing a large power plant. "We spent more than a century thinking about what happens when we lose a large generator," he said. "A data center represents that size of impact to the grid as well."

What worries Eyford more than the size of these loads is how fast they can disappear. A data center campus can pull hundreds of megawatts one moment and vanish from the grid the next, forcing operators to match generation to that load in real time or risk destabilizing the system. "If it all of a sudden drops off, that's a problem for the grid," he said. "We have to match generation and load."

Arun Nimmala, Oracle's global head of grid operational technology products and services, argues utilities need to fundamentally rethink how they treat data centers. "Most of the utilities or most of the grid operators look at data centers as a different load," he said. "They should be looked at as grid participants, not just as a passive unit." FERC's order essentially forces that reclassification onto a federal timeline, whether utilities are ready or not.

Wildfires complicate the picture in a different way, and no amount of AI forecasting fixes the core issue: liability. An Oregon appeals court tossed a $1 billion wildfire verdict against PacifiCorp in April, ruling that a flawed jury instruction meant causation had to be decided fire by fire instead of all at once. South Dakota went the opposite direction in March, passing a law that bars strict liability claims against utilities in wildfire suits outright. California is trying a third approach: Governor Gavin Newsom pushed a "fast pay" proposal this summer that would speed payouts to wildfire victims in exchange for limiting what they can sue for later, after years of watching the state's utilities absorb billions in judgments.

Liability is what actually separates wildfires from every other extreme weather event a utility plans for, Eyford said. "This is pretty much the one major event that they potentially could be responsible for, so this changes everything in terms of how they prepare, how they operate, and how they interact with the public," he said. Utilities run thousands of miles of energized equipment through forests and neighborhoods, and, in his words, "we can't practically engineer that risk to zero." What changed isn't the risk itself but how much of it the public still tolerates. "We've now seen billion-dollar lawsuits to the point where this is potentially even an existential risk to the utility," Eyford said. "We've seen even bankruptcies as a result of this."

AI is where utilities are trying to buy back some of that lost tolerance. Nimmala said combining weather forecasts, vegetation LiDAR data, asset age, and historical outage patterns lets utilities generate a risk score for individual pieces of equipment instead of entire regions. "We have seen where the deep learning frameworks have shown up to 35 percent reduction in load shedding during extreme weather events," he said. Most of the building blocks are already deployed, according to Nimmala: advanced distribution management systems, fault location and restoration tools, and the metering and virtual power plant programs utilities are rolling out now. "The building blocks are there," he said.

Whether utilities assemble them fast enough is a separate question. The data centers and the wildfires aren't waiting around for an answer.