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Why regional transmission organizations as we know them might not survive the data center boom.

As the United States faces its first significant increase in electricity demand in decades, the grid itself is not only aging, but also straining against the financial, logistical, and legal barriers to adding new supply. It’s enough to make you wonder: What’s the point of an electricity market, anyway?
That’s the question some stakeholders in the PJM Interconnection, America’s largest electricity market, started asking loudly and in public in response to the grid operator’s proposal that new large energy users could become “non-capacity backed load,” i.e. be forced to turn off if ever and whenever PJM deems it necessary.
PJM, which covers 13 states from the Mid-Atlantic to the Midwest, has been America’s poster child for the struggle to get new generation online as data center development surges. PJM has warned that it will have “just enough generation to meet its reliability requirement” in 2026 and 2027, and its independent market monitor has said that the costs associated with serving that new and forecast demand have already reached the billions, translating to higher retail electricity rates in several PJM states.
As Heatmap has covered, however, basically no one in the PJM system — transmission owners, power producers, and data center developers — was happy with the details of PJM’s plan to deal with the situation. In public comments on the proposed rule, many brought up a central conflict between utilities’ historic duty to serve and the realities of the modern power market. More specifically, electricity markets like PJM are supposed to deal with wholesale electricity sales, not the kind of core questions of who gets served and when, which are left to the states.
On the power producer side, major East Coast supplier Talen Energy wrote, “The NCBL proposal exceeds PJM’s authority by establishing a regime where PJM holds the power to withhold electric service unlawfully from certain categories of large load.” The utility Exelon added that owners of transmission “have a responsibility to serve all customers—large, small, and in between. We are obligated to provide both retail and wholesale electric service safely and reliably.” And last but far from least, Microsoft, which has made itself into a leader in artificial intelligence, argued, “A PJM rule curtailing non-capacity-backed load would not only unlawfully intrude on state authority, but it would also fundamentally undercut the very purpose of PJM’s capacity market.”
This is just one small piece of a debate that’s been heating up for years, however, as more market participants, activists, and scholars question whether the markets that govern much of the U.S. electric grid are delivering power as cheaply and abundantly as they were promised to. Some have even suggested letting PJM utilities build their own power plants again, effectively reversing the market structure of the past few decades.
But questioning whether all load must be served would be an even bigger change.
The “obligation to serve all load has been a core tenet of electricity policy,” Rob Gramlich, the president of Grid Strategies LLC, told me. “I don’t recall ever seeing that be questioned or challenged in any fundamental way” — an illustration of how dire things have become.
The U.S. electricity system was designed for abundance. Utilities would serve any user, and the per-user costs of developing the fixed infrastructure necessary to serve them would drop as more users signed up.
But the planned rush of data center investments threatens to stick all ratepayers with the cost of new transmission and generation that is overwhelmingly from one class of customer. There is already a brewing local backlash to new data centers, and electricity prices have been rising faster than inflation. New data center load could also have climate consequences if utilities decide to leave aging coal online and build out new natural gas-fired power plants over and above their pre-data center boom (and pre-Trump) plans.
“AI has dramatically raised the stakes, along with enhancing worries that heightened demand will mean more burning of fossil fuels,” law professors Alexandra Klass of the University of Michigan and Dave Owen at the University of California write in a preprint paper to be published next year.
In an interview, Klass told me, “There are huge economic and climate implications if we build a whole lot of gas and keep coal on, and then demand is lower because the chips are better,” referring to the possibility that data centers and large language models could become dramatically more energy efficient, rendering the additional fossil fuel-powered supply unnecessary. Even if the projects are not fully built out or utilized, the country could face a situation where “ratepayers have already paid for [grid infrastructure], whether it’s through those wholesale markets or through their utilities in traditionally regulated states,” she said.
The core tension between AI development and the power grid, Klass and Owen argue, is the “duty to serve,” or “universal service” principle that has underlain modern electricity markets for over a century.
“The duty to serve — to meet need at pretty much all times — worked for utilities because they got to pass through their costs, and it largely worked for consumers because they didn’t have to deal very often with unpredictable blackouts,” Owen told me.
“Once you knew how to build transmission lines and build power plants,” Klass added, “there was no sense that you couldn’t continue to build to serve all customers. “We could build power plants, and the regulatory regime came up in a context where we could always build enough to meet demand.”
How and why goes back to the earliest days of electrification.
As the power industry developed in the late 19th and early 20th century, the regulated utility model emerged where monopoly utilities would build both power plants and the transmission and distribution infrastructure necessary to serve that power to customers. So that they would be able to achieve the economies of scale required to serve said customers efficiently and affordably, regulators allowed them to establish monopolies over certain service territories, with the requirement that they would serve any and everyone in them.
With a secure base of ratepayers, utilities could raise money from investors to build infrastructure, which could then be put into a “rate base” and recouped from ratepayers over time at a fixed return. In exchange, the utilities accepted regulation from state governments over their pricing and future development trajectories.
That vertically integrated system began to crack, however, as ratepayers revolted over high costs from capital investments by utilities, especially from nuclear power plants. Following the deregulation of industries such as trucking and air travel, federal regulators began to try to break up the distribution and generation portions of the electricity industry. In 1999, after some states and regions had already begun to restructure their electricity markets, the Federal Energy Regulatory Commission encouraged the creation of regional transmission organizations like PJM.
Today some 35 state electricity markets are partially or entirely restructured, with Texas operating its own, isolated electricity market beyond the reach of federal regulation. In PJM and other RTOs, electricity is (more or less) sold competitively on a wholesale basis by independent power producers to utilities, who then serve customers.
But the system as it’s constructed now may, critics argue, expose retail customers to unacceptable cost increases — and greenhouse gas emissions — as it attempts to grapple with serving new data center load.
Klass and Owen, for their part, point to other markets as models for how electricity could work that don’t involve the same assumptions of plentiful supply that electricity markets historically have, such as those governing natural gas or even Western water rights.
Interruptions of natural gas service became more common starting in the 1970s, when some natural gas services were underpriced thanks to price caps, leading to an imbalance between supply and demand. In response, regulators “established a national policy of curtailment based on end use,” Klass and Owen write, with residential users getting priority “because of their essential heating needs, followed by firm industrial and commercial customers, and finally, interruptible customers.” Natural gas was deregulated in the late 1970s and 1980s, with curtailment becoming more market-based, which also allowed natural gas customers to trade capacity with each other.
Western water rights, meanwhile, are notoriously opaque and contested — but, importantly, they are based on scarcity, and thus may provide lessons in an era of limited electricity supply. The “prior appropriation” system water markets use is, “at its core, a set of mechanisms for allocating shortage,” the authors write. Water users have “senior” and “junior” rights, with senior users “entitled to have their rights fulfilled before the holders of newer, or more ’junior,’ water rights.” These rights can be transferred, and junior users have found ways to work with what water they can get, with the authors citing extensive conservation efforts in Southern California compared to the San Francisco Bay area, which tends to have more senior rights.
With these models in mind, Klass and Owen propose a system called “demand side connect-and-manage,” whereby new loads would not necessarily get transmission and generation service at all times, and where utilities could curtail users and electricity customers would have the ability “to use trading to hedge against the risk of curtailments.”
“We can connect you now before we build a whole lot of new generation, but when we need to, we’re going to curtail you,” Klass said, describing her and Owen’s proposal.
Tyler Norris, a Duke University researcher who has published concept-defining work on data center flexibility, called the paper “one of the most important contributions yet toward the re-examination of basic assumptions of U.S. electricity law that’s urgently needed as hyperscale load growth pushes our existing regulatory system beyond its limits.”
While electricity may not be literally drying up, he told me, “when you are supply side constrained while demand is growing, you have this challenge of, how do you allocate scarcity?”
Unlike the PJM proposals, “Our paper was very focused on state law,” Klass told me. “And that was intentional, because I think this is trickier at the federal level,” she told me.
Some states are already embracing similar ideas. Ohio regulators, for instance, established a data center tariff that tries to protect customers from higher costs by forcing data centers to make minimum payments regardless of their actual electricity use. Texas also passed a law that would allow for some curtailment of large loads and reforms of the interconnection process to avoid filling up the interconnection queue with speculative projects that could result in infrastructure costs but not real electricity demand.
Klass and Owen write that their idea may be more of “a temporary bridging strategy, primarily for periods when peak demand outstrips supply or at least threatens to do so.”
Even those who don’t think the principles underlying electricity markets need to be rethought see the need — at least in the short term — for new options for large new power users who may not get all the power they want all of the time.
“Some non-firm options are necessary in the short term,” Gramlich told me, referring to ideas like Klass and Owen’s, Norris’s, and PJM’s. “Some of them are going to have some legal infirmities and jurisdictional problems. But I think no matter what, we’re going to see some non-firm options. A lot of customers, a lot of these large loads, are very interested, even if it’s a temporary way to get connected while they try to get the firm service later.”
If electricity markets have worked for over one hundred years on the principle that more customers could bring down costs for everyone, going forward, we may have to get more choosy — or pay the price.
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At this point, I think it’s clear that AI data centers are unpopular.
You probably know it, at least. I was preparing talk about data center opposition on a podcast today and I took the opportunity to dive back into our data, so I certainly know it. At this point, we’ve written about results from our polling that show Americans overwhelmingly oppose local data center construction, that majorities of Americans now support a national data center moratorium, and that the only group of Americans who feels more optimistic than pessimistic about artificial intelligence is … men older than 65 years old.
So I got curious: Given all that, who actually supports AI data centers?
One question from our recent Heatmap Pro poll, conducted by Embold Research, helps give us a sense. This is the profile of someone our data says would support a data center built in their local area:
A few facets stand out. These data center YIMBYs are more likely to be men, and more likely to be 2024 Trump voters, but they’re not locked into one age demographic or voting cohort. A third are Harris supporters, and roughly a third are women. Data center YIMBYs are more likely to be older than 50, but the majority isn’t overwhelming.
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Perhaps more surprising: The group has many more people who voted third-party in the 2024 election (8%) than the general population (just under 2%), although that response could also include people who didn’t vote. (Alas, the data can’t quite confirm how many in this group are libertarian.)
What’s perhaps most interesting: This group overwhelmingly believes that artificial intelligence will make their lives better. And in heartening news for climate advocates, they are even more likely to support a given data center project if it is powered by renewables.
I was going to joke that the profile is essentially a newly retired engineering dad — except that, to my surprise, these data center YIMBYs are far less gender imbalanced than the American engineering profession. (They’re also less gender-imbalanced than American Tesla owners.) So I’ll leave it at that.
Five takeaways from the latest Lazard Levelized Cost of Energy report.
It’s all getting more expensive.
That’s the conclusion of the investment bank Lazard’s latest report on the levelized cost of energy, one of the most closely watched and cited energy reports of the year.
Levelized cost of energy measures the dollars per megawatt-hour a power plant needs to earn in revenue to break even over the course of its lifetime in present-value terms.
What makes LCOE so alluring is that it’s a way to compare any type of generator, whether it requires a large upfront investment but has few operating costs, like a utility-scale solar project, or whether its expenses are largely fuel costs incurred in the future, like a combined cycle natural gas plant. This is also why LCOE has its critics, who point out that a solar panel that only runs during certain times of day has a different value to the electricity system than a natural gas plant that can ramp up and down quickly or a nuclear plant that provides steady baseload power.
Anyway, here’s what we can learn from this year’s Lazard report.
Curves that were once gently sloping downward are starting to look like incipient U’s. While longterm LCOE falls are still dramatic and impressive for some technologies — utility solar has fallen from $359 per megawatt-hour in 2009 to $69 in 2026 — the short term rises are worrisome. That $69 per megawatt hour represents a nearly 10% increase from 2025, when utility-scale solar had a LCOE of $58. And it’s not just renewables — the LCOE for a combined cycle natural gas plant rose from $78 per megawatt-hour to $90 in the past year. Gas plant LCOE got as low as $60 in 2021. That’s a 50% price hike in just five years.
Lazard attributed the increase in solar and wind LCOE to “higher capital costs, sustained interest rates, tariff pass-through and supply chain repricing.” These technologies are also the most “sensitive” to subsidies by way of the tax code, with federal tax tax credits taking the low end cost of utility solar to as low as $16 per megawatt hour. To the extent those tax credits are no longer available or weren’t accessible due to strict eligibility rules, that could be a source of future upward pressure on costs.
That being said, renewables “maintain their relative cost advantage despite facing the same cost pressures affecting the rest of the generation stack,” the Lazard analysts concluded.
Natural gas, meanwhile, is seeing prices spiral upward on huge and growing customer demand.
“Continuous upward revisions to demand projections have driven a sharp increase in announced new-build gas generation despite a 15-year high LCOE and historically long development lead times,” according to Lazard.
The report hints at what LCOE is not always able to capture, namely that generators like gas have attributes besides low cost that make them attractive. “New gas combined cycle plants offer the lowest-cost dispatchable power in high-demand and low-cost-gas environments,” the analysts point out.
Anyone building a new combined cycle gas plant, however, will have to deal with the high cost and low availability for turbines, which is “extending development timelines well beyond historical norms.” That provides an opening for renewables that can be deployed quickly and cheaply, like solar and accompanied by battery storage.
In 2019, the low end of LCOE for onshore end was $28 per megawatt-hour, according to Lazard’s figures, and the high end was $54. In 2026, however, the low end costs sits a bit higher at $37 per megawatt-hour, but the high end cost rose to $99. There’s a similar story for utility solar: in 2019, the spread between low and high was a snug $8 per megawatt-hour, while this year it’s ballooned to $58.
The broadening range is “likely reflecting that some project developers have been better able to mitigate broader cost pressures across supply chain and project-level economics than others,” the Lazard analysts wrote.
The Lazard report doesn’t just look at the discounted cost of individual generators over their lifetimes. It also tries to figure how much they cost on certain grids. One way of doing this is to look at what Lazard calls the “cost of firming intermittency” or “levelized firming costs.” This is essentially looking at what it costs to bring solar, solar and storage, and wind and storage onto actual grids considering their ability to perform when the grid is most stressed.
This measure tries to refine LCOE to give a sense of how various forms of energy generation compare to gas plants in real world circumstances, not just as a financial construct. This is not a perfect, real-world comparison — gas capacity needs to be “firmed” as well, as it’s not always entirely available at times of peak need — but at least it gives an idea of how these resources actually function in a real-world grid.
Even with firming costs, “renewables remain broadly cost-competitive,” the report concludes.
Not surprisingly, some of the most dramatic costs are in America’s most troubled electricity market, PJM Interconnection. The unsubsidized cost of firming intermittency for solar and storage is $167 per megawatt-hour, compared to $150 in Texas or $115 in California. That’s also compared to a $129 per megawatt-hour at the high end for conventional combined cycle gas plants in PJM.
PJM is notorious for its inability to bring on new resources quickly and its strict standards for accrediting the contribution of storage and renewables to grid stability.
While the Lazard authors explicitly caution that it doesn’t measure what the“total system costs are for 1 MWh of incremental electricity” and can’t say “the optimal mix of renewables, conventional generation and storage,” it does conclude that “firming costs and dispatchability are increasingly critical for comparing resources on a more complex grid.”
In short, no matter what ends up on the grid, grid planners will have to think carefully about how to make sure it’s reliable and works in concert with what’s already there.
Timber companies think of them as pests, but new research indicates that stands of the slender tree can act as barriers against raging flames.
Colorado’s Aspen Acres Fire is named after a quiet RV campground located high in the San Isabel Mountains, about a five-hour drive due southeast of the state’s better-known Aspen. Both places, however, are named after the iconic deciduous tree known for its golden leaves in the fall. While the start of monsoon season may yet prevent the Aspen Acres Fire — the seventh-largest in Colorado’s history — from joining Utah’s Babylon Fire as the second 100,000-acre “megafire” of the season, the conflagration has been aided in its rampage not by aspens, but rather by dead, downed, and blighted ponderosa pines, spruce, and Douglas firs. The wildfire has now burned over 98,000 acres and nearly 300 homes, and is only 36% contained due to steep terrain that has hampered firefighting efforts, along with extreme drought conditions and beetle infestations that have greatly degraded the forest health of the region.
But what about its aspens? Though the extent of the damage at the campground remains unknown, according to a recent study of Populus tremuloides, Colorado’s iconic golden trees could be one of the keys to more wildfire-resistant forests in the future.
Flavie Pelletier, a recent PhD graduate of McGill University’s Natural Resource Sciences program, told me she first became interested in aspens while working as a tree planter in British Columbia. “The historical assumption on aspen is that stands are very good at stopping fire progression. But the paradox is that if you take an aspen by itself, it’s going to burn at high severity,” Pelletier, who published her findings in Forest Ecology and Management, told me.
By creating near-real-time maps of fires using satellites and comparing them against the Canadian Forest Service’s newly available maps of dominant tree species in the boreal, Pelletier and her colleagues discovered that aspen were almost two and a half times more common at the perimeter of a burned area than inside it. The finding suggests that despite the flammability of a single aspen with its thin bark, stands of aspen act as a kind of barrier when wildfire ran up against them, likely because they lack the flammable resins of conifers and their high foliage helps force running crown fires back toward the ground. Pine and spruce, by contrast, showed a near-zero or even negative effect.
When aspen stands did burn, Pelletier found they did so more slowly: A tree cover of 50% aspen burned at about 224 hectares per day, compared to 717 hectares per day in areas where aspen made up less than 10% of the cover. That’s the equivalent of about 1,000 FIFA-regulation soccer pitches per day in places where aspen are sparser — like Aspen Acres.
Even more surprising, though, was that the pattern held true in the early season, when the trees are still twiggy and have yet to grow their moisture-filled leaves, and despite the severity of fire weather. “Aspen still showed resilience even when the fire weather was very intense, [like in 2023, when] we had all the fires,” Pelletier said.
But she was also the first to admit that seasons are getting more extreme, and that there’s no guarantee the pattern will hold for the next 10 or 20 years.
Pelletier was reluctant to make a policy recommendation based on her research, noting that she’s not a forest manager. But in Alberta and British Columbia, timber companies spray hundreds of thousands of acres of timber with glyphosate, an herbicide, to kill off aspens because the trees outcompete the more commercially valuable conifers. Her findings are “a big argument to stop the spreading of herbicides because you’re increasing the risk of fire in your forest by removing aspen,” Pelletier said.
Despite her hesitation, Pelletier is explicit in her paper about one thing: that aspens “should be encouraged — specifically around key landscape positions, such as population centers” — given that they are a proven means of hardening the wildland-urban interface against wildfires. It might be too late for the idyllically named Aspen Acres, of course; any of the aspens that once drew tourists to the area are likely now ash.
But this not be Colorado’s last fire, either.