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If the “nuclear renaissance” is here, it’s happening only in certain kinds of places. California and New York aren’t getting new reactors capable of generating massive amounts of always-on, carbon-free power — instead projects are being completed and planned in Tennessee, Georgia, and Idaho. It’s not all red state friendliness to new development and blue state fears of nuclear waste either. It’s really about how electricity markets are organized across the United States.
There’s simply little new nuclear activity in the vast swaths of the country, like much of the Northeast and Midwest, Texas, and California, where electricity markets have been partially or completely “deregulated,” meaning that utilities largely buy electricity from generators and distribute it to consumers in something like a free market. Instead, nuclear projects are popping up in markets, like those in the South and Mountain West, where utilities still control both electricity generation (think power plants) and the distribution of that electricity to customers and where public power companies can still predominate in the market. In these areas, energy companies have the scale, authority, access to investment, and captive customer base necessary to embark on capital intensive projects like nuclear generators.
This is of note because the Department of Energy estimates that in order to decarbonize the power system, some 550 to 770 gigawatts of new clean firm capacity, meaning generators that can be turned on 24/7, will be necessary. While this could include geothermal, solar or wind paired with batteries, or pumped hydro, there’s already some 94 gigawatts of existing nuclear capacity that the Energy Department anticipates could scale to around 300 gigawatts by 2050.
Where that’s been expanded recently is not necessarily the parts of the country that have an aggressive mandate to decarbonize.
Consider Georgia’s Vogtle-3 reactor, the United States’ first new nuclear reactor in years. The end result is a staggering amount of non-carbon-emitting power, but delivered at an eye-wateringly high cost (some $16 billion overbudget) in a market set-up where an investor-owned, vertically integrated utility — Georgia Power, a subsidiary of Southern Company — is able to charge ratepayers for high construction costs. Or Watts Bar Unit 2, a new reactor built by the Tennessee Valley Authority, a government power company with a monopoly on electricity in Tennessee and bordering states (it had its own set of delays — for decades — and cost overruns).
A similar dynamic is at work when it comes to the next generation of nuclear technology. The Carbon Free Power Project is a planned set of small modular reactors at the Idaho National Laboratory that a coalition of Mountain West public utilities have been working on and hope to make operational by the end of the decade.
The dream of small modular reactors is that, by standardizing construction processes and parts and also by literally making the projects smaller, construction costs for nuclear power can be brought down as more projects get completed. That being said, the Carbon Free Power Project has still reported large cost escalations. And it’s doing so with funding from the Department of Energy that could amount to around $1.3 billion of the over $9 billion it’s expected to cost if the project actually starts generating power as scheduled in 2029. Some members of the coalition have already dropped out and the projected price of power generated by the reactors has increased.
That’s not a huge surprise. Cost is really what’s holding back nuclear power.
The great scaling of renewable power across the country has been, its advocates always like to say, a triumph of the market. Wind and solar projects, while expensive to set up, are cheap to operate over time, in part because they have no fuel costs, compared to thermal plants which must acquire and combust coal, oil, or natural gas. In fact, around two thirds of the price of natural gas-generated power comes from the fuel itself, which actually hasn’t been a huge problem for natural gas over the past 15 years since it’s been so cheap.
On the other hand, the vast majority of the costs of nuclear power come from the expense of building its generators, according to an analysis by Brian Potter, a fellow at the Institute for Progress and a contributor to Heatmap. With gargantuan capital requirements and long construction timelines, interest payments on financing can end up doubling the total costs of nuclear plants. When those costs get reflected in the price of nuclear energy on so-called deregulated electricity markets, it becomes uncompetitive.
Regulated markets are a different story, however. Utilities that own power plants have massive cash flows and legally mandated profits that let them borrow huge amounts of money at the lower costs necessary to finance large, capital-intensive construction projects like nuclear plants — and then put the costs directly into ratepayers' bills.
“These larger utilities have a larger balance sheet, they can carry a larger project on their books without it being a huge percentage of their net debt at any point in time,” Adam Stein, the director of the Nuclear Energy Innovation program at the Breakthrough Institute, told me. The Tennessee Valley Authority also has a large capacity to carry debt, while public power companies “have experience and expertise internally in how to engage in the DOE grant process,” Stein said.
Critics of deregulation and advocates for nuclear power argue that the way those markets work does not properly value power that is not variable, like wind and solar, and can keep their fuel stored on site, unlike gas, which relies on pipelines. Despite the unique role it can play on the grid, nuclear power still has to compete on the same playing field as other assets which are intermittent or rely on getting fuel, Stein explained.
But utilities that control both generation and distribution aren’t immune from market forces, even if they can withstand them better. One reason why deregulation took hold in much of the county is precisely because there was so much backlash to utilities’ nuclear power plant projects that were more expensive than projected and assumed more electricity demand than there actually was.
“The ratepayers were paying a lot for the nuclear plants, and they were unhappy with it,” Meredith Angwin, an energy analyst and critic of deregulation, told me. “Cost per megawatt of nuclear plants, it’s just rising. There’s a learning curve that makes things less expensive — with nuclear it goes the other way.” Figuring out exactly why this happened — and how to reverse it — has been the great challenge of the nuclear industry and energy policy experts.
Many advocates for increased use of nuclear power see new construction techniques, plant designs, and more well-tailored regulation as the answer to these rising costs.
And while there have been large declines in the cost of renewables over the past decade, wind and solar projects have run into cost issues recently thanks to economy-wide inflation and specific issues with supply chains.
Offshore wind in the United States, which currently has a few dozen megawatts of capacity that the Biden administration wants to scale up to 30 gigawatts, is facing a crisis of high costs, with wind developers demanding more money to complete projects and even threatening to cancel them altogether, lest they get access to more subsidies. It’s a story we’ve heard before.
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A conversation with the Guardrails Alliance’s Shaunna Thomas.
This week’s Q&A is with Shaunna Thomas of the Democrat-allied super PAC Guardrails Alliance, which describes itself as “not anti-technology” but supportive of AI “rules, accountability, and a government that actually represents the public.” Part of that AI accountability they’re calling for is on data centers.
After the midterms, Guardrails Alliance sent a memorandum to all House and Senate Democratic offices arguing for AI and data center accountability to be a key part of their message and plans heading into the new Congress. Described as a “playbook for how to understand and channel anxieties about AI and data centers,” the document laid out “key narratives” that they said voters who care about these issues want to see reflected and echoed by their politics. They said the push against data centers could help Democrats build more lasting political power.
I reached out and asked if Thomas could explain further what all of this means to my readers. She kindly obliged.
The following conversation was lightly edited for clarity.
Let’s start with the elections. What were your takeaways when it came to what voters want to see on data centers?
I think the elections were a rebuke of the status quo on a number of fronts. We saw across the board that people are frustrated with what amounts to legalized corruption and the forcing without consent of new technology, and new infrastructure to support a technology that they didn’t ask for in ways that are harmful to their lives and the country.
What we saw in polling is that the data center backlash is one of the most bipartisan political issues of our time, driven by everything from noise pollution to rate hikes to Big Tech trying to steamroll state and local governments. Americans are sick and tired of the AI industry trying to control our lives by building data centers in our communities, which goes along with trying to control our data and who represents us in government. The AI industry was also trying to spend a lot on elections trying to control the outcome.
When we dig deeper on all that, it’s not just about elections. They’re seeing this unholy alliance between Big Tech and the Trump administration.
In the post-election analysis laid out in that memo, you explain these key narratives that you think Democrats should pick up against the tech sector. Can you explain how you developed these?
What we dug into during the primaries and the lead-up to the general election was questions in focus groups and polling with Republicans and Democrats about what was behind the frustration. Is this just about buildings they don’t want in their backyard or is this connected to AI and bigger picture concerns over who makes choices? About control? The data centers people were most opposed to were data centers specifically for AI, which was a really important indicator it was both/and.
We then started to talk to voters in Ohio and Iowa and Michigan about what they’d want to see in terms of changes, in terms of new leadership, how they would want to see this framed. What was appealing? We tested a number of frames and these key narratives are a compilation of that data. So for example, a key narrative says, The AI oligarchs and their political allies are wildly out of step with a supermajority of the public. There’s also sample messaging under it in the memo. And it’s a reflection of the sentiment and the tone and the language a lot of people used when they got into robust conversations about what they’re really concerned about or what they want to see their leaders doing differently.
Can you say more about these focus groups? And can you say more about what you saw in terms of bipartisan shared concern around not just data centers but these messages you’re bringing up?
I can tell you about some of the key findings of the focus groups we did in Michigan and Ohio and Iowa in August and September. People are generally open to the idea AI can have some benefit to their lives, and they’re open to using it personally. But everyone we talked to expressed some concern about the pace it was being developed. You can see technology having value but also see there’s no regulation in place or guardrails around the technology itself.
Most people we spoke to expressed concerns about how the technology has been affecting society and the environment — that came up a lot in data center conversations. People are also concerned about the role chatbots could have in their children’s lives, and that AI could replace teachers.
It’s also a lot of concern about and a lack of confidence in either government regulators or AI companies to properly regulate the technology. You saw more support for regulators at the state level and people deeply opposed to federal pre-emption, because they see more evidence of democracy working at the state level as opposed to the federal level.
People express mixed reviews about the specific policy solutions. What we’re seeing is people see AI as a vehicle for a small handful to amass more wealth and power. I don’t think we have had enough of a robust debate about how you deal with that problem.
So, on that point in particular, I want to drill down. What do we know about what voters want to see? What does accountability or guardrails look like to them?
First of all, there’s blanket support for federal regulations in general to deal with the way the technology is developed and deployed. We see a lot of clarity from voters about the fact they may not have a lot of confidence the federal government will step in. They want to see it.
When it comes to the economy, where there’s still broad public support is taxing billionaires and CEOs of these companies and raising the minimum wage and raising the social safety net. People’s interest in seeing that move forward has been growing in intensity.
On AI specifically, people don’t want to have a conversation about distribution of wealth without a conversation about distribution of power. They don’t want to be bribed to accept the acceleration of AI in their lives. They want to know that the power of those companies to do what they’re doing is going to be significantly limited and safety guardrails are put in place to keep us all safe from what the new technology is capable of.
I think once the safety conversation is step one. Step two is the conversation about how you distribute wealth from a technology built on other people’s labor and intellectual property.
On the concern about bribes, we’ve been reporting on Trump’s call for cash payments to communities to accept data centers. Are you telling me proposals like that might not be a good political strategy?
It was precisely because Trump was talking about it that we heard it brought up in focus groups, and how it was described was that voters may get some short term incentive to accept a technology they don’t trust is designed to help them fundamentally. They believe it is being deployed to more deeply consolidate power and wealth. And they don’t want that. When the president or a big AI company says they agree with it, it’ll have an impact on how the idea is perceived.
It has to also be coupled with a set of policies that are putting democratic governance over the technology itself before its deployment. People want to see technology isn’t going to continue to advance without guardrails.
Distinct from Trump’s data center dividend, some policymakers have suggested a “data dividend” — a distribution of wealth from the usage of AI products because they’re using people’s data. That’s more of what we’re talking about.
What do we know about what the public wants to see regarding data centers?
It’s important we recognize local leaders have had demands driven by their local communities. But as a structural matter, the public sees slowing down data centers as a mechanism for slowing down the project of AI generally. It remains an open question about how you do that.
There are federal policymakers working on a set of solutions that could create more space for people at the local level to be in the driver’s seat on when, how, or if data centers get built. I think we’ll see more proposals on that front.
So where do you think this conversation goes next?
I would expect the public to continue to make demands from policymakers and I would expect the Big Tech sector to continue down the path they’re going, which is, we were always Democrats and pro-regulation all the time. This will look like policies resembling always being okay with regulation but actually avoid putting checks on their power. And that’ll mean the public has even more at stake and the government has an even bigger obligation to make sure AI is deployed for public benefit as opposed to for the profits of a few companies and CEOs.
Plus more of the week’s biggest development fights.
1. New York City — We have a new must-watch offshore wind lawsuit with potential implications for the entire sector — and this time, it’s from lobstermen seeking damages.
2. Hinds County, Mississippi — The largest proposed solar farm in Mississippi is moving forward after an appeals court rejected arguments from aggrieved local residents that it had been improperly approved.
3. Dakota County, Minnesota — I’m scrutinizing a lawsuit against a data center developer centering on allegedly improper permitting of its cooling technology.
4. Polk County, Florida — Will the Sunshine State remain a challenging place for data centers after Ron DeSantis? A test case could reveal the future quite quickly.
Trump’s “data center dividend” appears to have backfired. Our latest poll results help explain why.
This year’s midterm elections called into question the efficacy of a push to pay local residents directly in exchange for building data centers.
Before the elections, I profiled the campaign for politicians to embrace the data center “dividend,” a policy idea modeled off Alaska’s Permanent Fund, which doles out checks to residents from profits off state oil, gas and mineral royalties. The Bitcoin Policy Institute, a tech policy think tank, was one of the first to trumpet the concept, but it was quickly taken up by President Donald Trump, who started raising it in speeches and on social media. “If companies want to make their Data Centers popular, pay the community, and/or individuals within the community, a ‘dividend,’” Trump posted to Truth Social on October 21.
Clearly the idea didn’t stop the bleeding. Democrats trounced Trump’s party in the midterms on a message that was heavy on attacks against data centers. But that still doesn’t explain why direct payments did so little to move the American public.
A Heatmap Pro poll conducted in early-to-mid October, right before the midterm elections, gives us an answer. As part of a broader survey of 2,500 registered voters, we asked about the idea — what we believe to be the first independent poll on direct payments for data centers by a news organization. We asked respondents whether there was a specific dollar amount they’d accept as a one-time cash payment in exchange for a data center being built near them. We also gave them the option to say no amount of money was sufficient.
Shockingly, a majority of people surveyed said they’d reject the data center cash payment in any amount. Among those who said they’d actually take the money, the median figure was around $10,000. The average was a whopping $146,000, skewed by the number of people who wrote $999,999, the maximum allowed by the survey.
This tracks what we’re seeing play out in communities where developers have tried this idea. In Hazle Township, Pennsylvania, NorthPoint — developer of an Amazon-linked data center project — proposed $10,000 cash payments to residents, no catch. Residents compared it to a bribe. In De Soto, Kansas, data center developer Digital Realty is offering annual $1,000 tax credits for a decade to neighbors of its proposed data center project. That proposal has been reportedly met with mixed reviews, too.
Clearly one of the problems here is that data centers not only face public perception issues around their local impacts, but are also more broadly associated with systemic inequality in the U.S. economy. The same Heatmap Pro survey found that a majority of voters believed AI companies have more control over the government than the oil and gas industry, pharmaceutical companies, banks, or other large industries.
Shaunna Thomas, executive director of Democratic-allied super PAC Guardrails Alliance, told me that during the campaign season they found that residents often associated the dividends with bribes, and that the president’s support for direct payments ultimately fed into voter sentiments about the tech sector controlling the government and society.
“People don’t want to have a conversation about distribution of wealth disconnected from a conversation about distribution of power,” Thomas said. “Specifically because Trump was saying that, we started hearing from voters in focus groups that it didn’t work for them. They’re hearing it as a bribe. They’re hearing they may get some sort of short-term economic or financial incentive to accept a technology they don’t trust is designed to help them.”
The Heatmap Pro survey results about cash payments ultimately reveal how emotionally driven the data center debate has become, said Sam Lyman of the Bitcoin Policy Institute. I asked Lyman to respond to the results because I thought they called into question the political effectiveness of the proposal we’d discussed months earlier. Lyman stipulated that he thinks the one-time payment nature of the question may have undermined the results, saying he prefers the dividends be paid out “in perpetuity.” But he acknowledged they also show “there’s still a lot of education to be done on data centers, what they do, and the impacts they have on the places where they’re built.”
“I think there’s a lot of Americans out there who have legitimate concerns that the future economy doesn’t include them. That’s something that needs to be addressed,” said Lyman, who said he laid part of the blame on what he called “irresponsible rhetoric” from AI industry executives about their technology’s impacts on society. “With data center dividends, the idea behind this policy is to help Americans understand the AI economy includes them. To give them a very material stake in that economy as it gets built out, especially in the rural communities that make data centers possible in the first place.”