2 Sources
[1]
AI data centers trigger massive 'irreversible' 76% electricity price spike in largest US region -- federal watchdog demands tech giants pay for their own power infrastructure
Data centers are skewing the power supply market, resulting in higher prices for everyone. Monitoring Analytics, the federally mandated independent watchdog that keeps an eye on the critical PJM Interconnection that distributes power around the U.S., said in a new report [PDF] that a massive 75.5% increase in power costs in the largest region of the U.S. has been directly caused by data centers, and it also blamed the regional market operator for failing to keep up with the rising demand. The price increases have been steep; wholesale electricity prices went up from $77.78 per MWh in the first quarter of 2025 to $136.53 per MWh in the same period of this year. "The price impacts on customers have been very large and are not reversible," the watchdog said in the report. "The price impacts will be even larger in the near term unless the issues associated with data center load are addressed in a timely manner, prior to the next BRA (base residual auction), scheduled for June 2026." Monitoring Analytics says that PJM Interconnection is trying to rewrite the rules for the capacity market and bake in data center demands into its forecasts. The watchdog is critical of this proposal as it will raise the prices for all electricity consumers, putting an unnecessary burden on households and small businesses. There is a possible solution to this problem: make data centers and other major consumers negotiate directly with power producers instead of mixing that demand with the BRA. This auction is where capacity is sold some three years ahead of when it's needed, and including data center demand in the BRA will push prices up for everyone. In fact, the report says that without the AI infrastructure built out, the PJM Capacity Market would not have seen the high prices we're experiencing now. So, by making data centers negotiate directly with power producers, this will ensure that the expanded capacity is solely shouldered by these large consumers and help keep utility bills stable for everyone else. However, this is not within the interests of PJM Interconnection. After all, by keeping massive data center loads baked into the general capacity forecast, the power auction would result in higher prices as demand moves up, but supply stays at relatively the same level. This higher cost, in turn, would then be passed on to transmission operators and local utilities, eventually making its way into the bill of the individual consumer. The increasing backlash against data center development, particularly its impact on electricity prices, has caught the attention of the federal government. In March of this year, President Donald Trump gathered some of the country's biggest AI hyperscalers in the White House and made them promise that they would "pay their own way" when it comes to AI infrastructure costs. This is, in principle, what Monitoring Analytics is pushing for: have tech companies pay for their own power -- both the electricity they consume, and the infrastructure needed for it. Unfortunately, the "ratepayer protection pledge" is nothing but a promise, and it cannot force institutions like PJM Interconnection to not pass on the burden of cost to the average American unless Congress passes a federal law that forces the Federal Energy Regulatory Commission (FERC) to prevent cost-shifting. Follow Tom's Hardware on Google News, or add us as a preferred source, to get our latest news, analysis, & reviews in your feeds.
[2]
Power Prices in Eastern U.S. Spike 76% Thanks to AI Data Centers
America's largest power grid is under enormous strain from AI data centers. And a new report details how wholesale electricity prices have jumped nearly 76% in an area where tens of millions of Americans live. PJM Interconnection operates a wholesale electric power market in the mid-Atlantic, Midwest, and South that covers 67 million people in 13 states (Delaware, Illinois, Indiana, Kentucky, Maryland, Michigan, New Jersey, North Carolina, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia). That's nearly 20% of the U.S. population, and it's also an area with a lot of data centers. Power prices there averaged $136.53 per megawatt-hour in the first three months of 2026, according to a massive new report from Monitoring Analytics. That's up from $77.78 per megawatt-hour in the first three months of 2026. The report isn't shy about where we should put the blame: "Data center load growth is the primary reason for recent and expected capacity market conditions, including total forecast load growth, the tight supply and demand balance, and high prices." The report, first spotted by Bloomberg, warns that there simply isn't enough capacity to meet the demand from data centers that have been built to power the AI revolution. "The current supply of capacity in PJM is not adequate to meet the demand from large data center loads and will not be adequate in the foreseeable future. This is a simple factual issue," the report explains. There's no easy way to reverse this trend, according to Monitoring Analytics. It's just going to be the reality for the next couple of years: "Large data center load additions have already had a significant and irreversible impact on PJM customers that will be paid through May 31, 2028, and will have additional significant impacts on other customers as a result of higher transmission costs, higher energy market prices and higher capacity market prices." The power mix has shifted slightly, with less dependence on coal and wind, but more on oil and solar, according to the report: "In the first three months of 2026, generation from coal units decreased 1.7 percent, generation from natural gas units increased 4.2 percent, generation from oil units increased 43.2 percent, generation from wind units decreased 4.7 percent, and generation from solar units increased 15.0 percent compared to the first three months of 2025." AI data centers are incredibly unpopular in the U.S., with 71% of Americans saying they oppose the construction of data centers in their area, according to a new poll from Gallup this week. Of that 71%, 23% say they're just somewhat opposed, while 48% say they are strongly opposed. Incredibly, more Americans say they'd rather live next to a nuclear power plant than a data center. A relatively small 53% of Americans oppose the development of nuclear power plants in their area. Among those polled, 50% cite the heavy strain on local resources, including many who are concerned about the way that data centers use electricity and drive up prices.
Share
Copy Link
Wholesale electricity prices in the largest US power grid have surged 76% due to AI data centers, affecting 67 million people across 13 states. A federal watchdog now demands that tech companies negotiate directly with power producers and cover their own infrastructure costs to prevent further burden on households and small businesses.
AI data centers have triggered a staggering 75.5% surge in electricity prices across the largest power grid region in the United States, according to a new report from Monitoring Analytics, the federally mandated independent watchdog overseeing the critical PJM Interconnection
1
. Wholesale electricity prices jumped from $77.78 per megawatt-hour in the first quarter of 2025 to $136.53 per megawatt-hour in the same period of 20262
. This price shock affects approximately 67 million people living across 13 states, including Delaware, Illinois, Indiana, Kentucky, Maryland, Michigan, New Jersey, North Carolina, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia—nearly 20% of the entire U.S. population.
Source: Tom's Hardware
The federal watchdog placed the blame squarely on data center load growth, stating that "data center load growth is the primary reason for recent and expected capacity market conditions, including total forecast load growth, the tight supply and demand balance, and high prices"
2
. The report warns that these price impacts on customers "have been very large and are not reversible," with the situation expected to worsen unless issues associated with data center demand are addressed before the next base residual auction scheduled for June 20261
.The current power grid strain exposes a critical infrastructure gap. Monitoring Analytics stated bluntly that "the current supply of capacity in PJM is not adequate to meet the demand from large data center loads and will not be adequate in the foreseeable future"
2
. The report characterizes this as "a simple factual issue" that has already created significant and irreversible impacts on PJM Interconnection customers, with payments locked in through May 31, 2028. Beyond the immediate capacity market prices, customers face additional burdens from higher transmission costs and elevated energy market prices.The insufficient power supply problem stems from PJM Interconnection's approach to the capacity market, where the regional operator is attempting to rewrite rules and incorporate data center demands into general forecasts. This strategy benefits the power auction system by driving up prices as demand increases while supply remains relatively stagnant, but it shifts power infrastructure costs directly onto transmission operators, local utilities, and ultimately individual consumers
1
.To address the escalating crisis and prevent further cost-shifting to consumers, Monitoring Analytics proposes a direct solution: require AI data centers and other major consumers to negotiate directly with power producers instead of mixing their demand into the base residual auction. This auction sells capacity approximately three years ahead of when it's needed, and including data center demand in this process inflates prices for all participants
1
. By separating these negotiations, the expanded capacity would be shouldered solely by large tech consumers, helping stabilize utility bills for households and small businesses.The report makes clear that without the AI infrastructure buildout, the PJM capacity market would not be experiencing current price levels. This finding aligns with recent political attention to the issue. In March 2026, President Donald Trump convened major AI hyperscalers at the White House and secured promises that they would "pay their own way" regarding AI infrastructure costs
1
. However, this "ratepayer protection pledge" remains voluntary and cannot compel institutions like PJM Interconnection to change their practices without federal legislation forcing the Federal Energy Regulatory Commission to prevent cost-shifting.Related Stories
Public opposition to AI data centers has intensified as awareness of resource strain grows. A recent Gallup poll revealed that 71% of Americans oppose data center construction in their area, with 48% strongly opposed
2
. Remarkably, more Americans would prefer living next to a nuclear power plant—only 53% oppose nuclear facilities in their vicinity. Among those opposing data centers, 50% cite heavy strain on local resources, particularly concerns about electricity consumption and rising prices. This sentiment reflects the tangible impact these facilities have on communities, as power producers struggle to balance competing demands while maintaining affordable rates for residential and commercial customers.
Source: Gizmodo
Summarized by
Navi
30 Sept 2025•Business and Economy

11 Feb 2026•Business and Economy

15 Nov 2025•Business and Economy

1
Technology

2
Technology

3
Policy and Regulation
