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California energy companies are asking for permission to take in more revenue. Consumer advocates are having none of it.

There’s a seemingly obvious solution to expensive electricity bills: Cut utility profits.
Investor-owned utilities have to deliver profits to their shareholders to be able to raise capital for grid projects. That profit comes in the form of a markup you and I pay on our electricity bills. State regulators decide how much that mark-up is. What if they made it lower?
A growing body of evidence suggests they should at least consider it. In principle, the rate of return on equity, or ROE, that regulators allow utilities to charge should reflect the risk that equity investors are taking by putting their money in those utilities, but that relationship seems to have gotten out of whack. Among the first to draw attention to the issue was a 2019 paper by Carnegie Mellon researchers which found that since the 1990s, the average “risk premium” exhibited by utility ROEs as compared to relatively risk-free U.S. Treasury bonds has grown from 3% to nearly 8%.
“An error or bias of merely one percentage point in the allowed return would imply tens of billions of dollars in additional cost for ratepayers in the form of higher retail power prices,” the authors wrote.
Subsequent research reproduced and built on those findings, showing that a generous ROE creates a perverse incentive for utilities to increase their capital investments, leading to excess costs for consumers of $3 billion to $11 billion per year. Now, the ex-chief economist of a major U.S. utility company, Mark Ellis, is putting his own analysis out there, arguing that unreasonably high ROEs are costing U.S. energy customers $50 billion per year, or over $300 per household.
Not only does this hurt consumers, it also makes the energy transition more expensive and less politically palatable.
That’s what environmental and consumer advocates are worried about in California, where the Public Utility Commission is currently considering requests by the state’s four largest energy companies to raise each of their ROE. Utilities in the state have reported record profits amid a worsening affordability crisis. On Friday, the commission signaled that it would instead lower the companies’ ROE — although not nearly as much as advocates have recommended. A final decision is expected in December.
“It’s a joke,” Ellis, the former utility executive, told me of the commission proceedings. “If you read the proposed decision, they don’t address any of the facts or evidence in the case at all.” His own analysis, which he submitted to the California commission on behalf of the Sierra Club, proposes that an average ROE of 6%, down from about 10%, would be justified and has the potential to save California energy customers more than $6 billion per year.
Utilities, of course, disagree, and have brought their own analysis and warnings about the risks of lowering their ROE. Regulators are left to sort through it all to figure out the magic number — one large enough to appeal to investors, but not so large as to throw ratepayers under the bus.
How does the ROE work its way into your bill? Let’s say your local utility, The Electric Company, has a regulated return on equity of 10%, and it plans to spend $100 million to build new substations. Utilities typically finance these kinds of capital projects with a mix of debt (loans they will have to pay interest on) and equity (shares sold to investors). Then they recover that money from ratepayers over the course of decades. If The Electric Company raises half of the capital, or $50 million, via equity, an ROE of 10% means it will be able to charge ratepayers $5 million on top of the cost of the project. That additional $5 million is factored into the per-killowatt-hour rates that customers pay. The profit can then be reinvested into future projects, issued to shareholders as dividends, paid out to executives as bonuses — the list goes on.
The energy research group RMI, which agrees that the average utility ROE is much too high, estimates the surcharge currently makes up between 15% and 20%% of the average customer’s utility bill. “Setting ROEs at the right level is necessary to bring forward a rapid, just, and equitable transition,” RMI wrote.
Utilities, however, say the “right level” is likely higher, not lower. They warn that in reality, lowering their ROE would trigger a cascade of negative effects — credit downgrades, higher borrowing costs, lower stock prices, investors taking their money elsewhere — that would push energy rates up, not down. These effects would also make it more difficult for utilities to invest in projects to clean up and expand the electric grid.
Timothy Winter, the portfolio manager of a utility-focused fund at the investment firm Gabelli, told me this “virtuous cycle” runs in both directions. Higher ROEs lead to a lower cost of capital, which leads to more investment, better reliability, and lower rates, he argued. Winter said that if California regulators reduced utility ROEs to 6%, investors would flee the state.
Between growing wildfire risk and the bankruptcy of California’s largest utility, PG&E, California energy providers are too exposed to warrant such low returns, he said. As a comparison, he noted that U.S. Treasury bonds, which are generally viewed as risk-free, yield about 4%. “If it’s a 6% return with an equity risk, they’re not going to do it,” he said of investors.
I probed Winter a bit more on this. Is that really true given that utilities are still, in many ways, the opposite of risky investments? They have captive customers, stable income, and are seeing skyrocketing growth in demand for their product.
This caused him to spiral down into an investor’s worst nightmare scenario. “Yes, there is a risk,” he said. “If a regulator is willing to give a 6% return and they used to give 11%, how do I know they’re not going to decide, okay, rates keep going up, next rate case it’s going to be 4%?” After that, he said, how can investors be sure the government won’t end up taking over the utility altogether?
Travis Miller, a senior equity analyst at Morningstar, was more measured. He hesitated to tell me whether a 6% ROE would hurt utilities’ ability to raise capital. “What usually happens” when regulators lower the ROE, he said, “is the utilities just decide not to invest very much, so then they don’t have to raise capital.” He would expect the California utilities to “invest to maintain reliability and that’s about it,” meaning that “a lot of new data center build that is planned in California would have to go elsewhere.”
Return on equity also isn’t the only thing investors look at, Miller added. They consider the overall regulatory environment. Is it predictable? Is it transparent? He said there have been cases where regulators cut a utility’s ROE but the overall regulatory environment remained strong, and other instances where the cut to ROE was “another sign of a deteriorating relationship” — a phrase that brings to mind Winter’s panic about government takeovers. (I should note, advocates for public takeovers of utilities cite this whole dynamic around the need to woo investors and the perverse incentives it creates as a key justification for their cause. Publicly-owned utilities — which serve about 1 in 7 electricity customers in the U.S., including in large cities like Sacramento, Los Angeles, and Seattle — don’t charge an ROE.)
When I spoke to Ellis about his proposal, I fired off all of the utility arguments I could think of. Won’t utilities stop building stuff and making the investments we need them to make if they can’t earn as much? “They have a legal obligation to continue to invest,” he said. But will they be able to raise equity? They don’t necessarily need to raise new equity, he responded, suggesting that utilities could reinvest more of their profits rather than distributing the money as dividends. This is not how utilities traditionally operate, he admitted, but it’s an option.
Prior to taking up the consumer cause, Ellis spent 15 years in leadership and executive roles at Sempra Energy, the parent company of San Diego Gas and Electric and SoCal Gas — two of the companies that petitioned for higher ROE. “I know how they think about this issue,” he told me, asserting that the arguments the companies make to regulators do not match how they think about ROE internally.
During our interview, Ellis described the current state of utility regulation of ROE in California as “reprehensible,” “egregious,” “heartbreaking,” and “a huge injustice.”
In the analysis he submitted to the utility commission, Ellis not only makes the case that the average U.S. utility’s ROE is much higher than is necessary to attract capital, but also that the potential impacts to consumers of lowering it — i.e. the potential to hurt a utility’s credit rating and increase its cost of debt — would be outweighed by customer savings.
He argues that to justify their requests for higher ROEs, the utilities use forecasts from biased sources, cherry-pick and manipulate data, and make economically impossible assumptions, like that earnings will grow faster than GDP.
Stephen Jarvis, an assistant professor at the London School of Economics who has conducted research on ROE rates, has reached similar conclusions about them being excessively high. Nonetheless, he told me he sympathized with the challenge regulators face. He said there was no “right” answer for how to calculate the appropriate ROE. “Depending on the assumptions that you use, you can come up with quite different numbers for what a fair rate of return should be,” he said.
The sentiment echoes the preliminary decision the California Public Utilities Commission issued last week, when it observed that all of the proposals submitted in the proceeding were “dependent on subjective inputs and assumptions.”
Ellis said the decision contained a “smoking gun,” however, proving that the commission didn’t really do its job. Changes in ROE are supposed to reflect changes to a company’s risk profile, he said. The risk profile for Southern California Edison, which is facing lawsuits related to the Eaton Fire and already paying out hundreds of millions of dollars to survivors, has certainly changed in a different way than its peers. Regardless, the commission made the exact same recommendation for each utility to reduce ROE by 0.35%. “The Commission clearly is not looking at the evidence.”
There is likely some truth to that. “It’s more art than science,” Cliff Rechtschaffen, who served for six years on the California Public Utilities Commission, told me when I asked how the people in those seats attempt to calibrate ROE. He acknowledged there was a self-reinforcing element to the process — regulators look at where investors might go if the rate of return is too low, and use that to determine what the rate should be. “But the rates of return that are set in other jurisdictions are, in turn, influenced by the national utility market, which includes your own utility market,” he said.
Similarly, regulators rely on market analysts, investment advisors, investment bankers, and so on, who have an inherent interest in building up the market and ensuring healthy rates of return, he said. “That makes it harder to discern and do true price discovery.”
Rechtschaffen said he was glad that environmental and consumer advocates were bringing greater scrutiny to ROE, adding that it was the “right time” to do so. “Particularly in this environment where utilities have forecast that they’re going to be spending tens of billions of dollars on capital upgrades, do we need the same rates of return that we’ve seen?”
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The data center boom is everywhere you look in U.S. economic and emissions data.
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation.What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.