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Daron Acemoglu and William Nordhaus have some disagreements.

This year’s Economics Nobel is not a climate prize — that happened in 2018, when Yale economist William Nordhaus won the prize for his work on modeling the effects of climate change and economic growth together, providing the intellectual basis for carbon taxation and more generally for regulating greenhouse gas emissions because of the “social cost” they impose on everyone.
Instead, this year’s prize, awarded to MIT’s Daron Acemoglu and Simon Johnson and University of Chicago’s James Robinson is for their work demonstrating “the importance of societal institutions for a country’s prosperity,” i.e. why some countries are rich and others are poor. To do so, the trio looked at the history of those countries’ institutions — laws, modes of government, relationship between the state and individuals — and drew out which are conducive to wealth and which lead to poverty.
Long story short, “extractive” institutions set up to reward a narrow elite tend to hurt economic development over time, as in much of Africa, which was colonized by Europeans who didn’t actually live there. “Inclusive” institutions, by contrast, arose in the United States and Canada, where there was significantly more European migration, thus incentivizing the ruling elite to set up institutions that benefitted a broader range of (again, European) residents.
While this research rests heavily on the climate (the reason Europeans avoided African colonies was because of the high rate of disease in tropical climates), it does not touch on climate change specifically. But Acemoglu especially is an incredibly wide-ranging scholar and has devoted some time to the specific questions of climate change — and in so doing has been a direct critic of Nordhaus, Stockholm’s preferred climate economist.
“Existing approaches in economics still do not provide the right framework for managing the problems that will confront us over the next several decades,” Acemoglu wrote in a 2021 essay titled “What Climate Change Requires of Economics,” referring directly to Nordhaus’s Nobel-winning work. “Although the economics discipline has evolved over time to acknowledge environmental risks and costs, it has yet to rise to the challenge of climate change. A problem as massive as this one will require a fundamental reconsideration of some of the field's most deeply held assumptions.”
His criticisms included that Nordhaus’s more gradualistic approach — the latest version of his model spits out that a 1.5 degree Celsius warming target is “infeasible,” and the “cost vs. benefit optimal” amount of warming as 2.6 degrees Celsius over pre-industrial levels with a carbon price that rises to $115 per ton by 2050 — ignores both the best way to reduce emissions and the risk of not doing so fast enough.
Acemoglu is far more optimistic about how policy can direct technological development and less sanguine about additional warming over and above the Paris Agreement limits. He argues that the possibility of theoretical “tipping points,” where exceeding certain climate thresholds by even a small amount may cause dramatic damages, make the risk of such overshoot far too great.
He also took issue with the discount rate applied to spending later vs. spending now in Nordhaus’s models. The basic idea is that a dollar spent today to mitigate the effects of climate change is more valuable than one spent in 2050. But the rates Nordhaus uses — which he derives from real-world investment returns — implies that in order for spending now to be worth it later, the benefits in 2050 or 2100 must be very, very large.
“There is a plausible economic (and philosophical) case to be made for why future essential public goods should be valued differently than private goods or other types of public consumption,” Acemoglu wrote in 2021, arguing that discount rates derived from investment returns, like the ones Nordhaus uses, might not be the best guide to public policy.
So what does the latest Nobel laureate want instead? Well, something like what the United States has been doing the past few years.
Accounting for the economic benefits of domestic or “endogenous” technological development, Acemoglu’s research finds that "the transition to cleaner energy is much more important than simply reducing energy consumption, and that technological interventions need to be redirected far more aggressively than they have been.” He explored how this process could work in papers he wrote over more than a decade, developing a model for this kind of directed technological change and applying it to the United States, starting as far back as 2012.
Across all his work on climate change, Acemoglu argues that a focus on pricing the “externalities” of carbon emissions — the harm emissions impose on everyone that isn’t reflected in the prices of fossil fuels — is myopic. Instead, the challenge is both restricting emissions and fostering clean technologies that can take the place of dirty ones, which have had a remarkable head start in investment.
In “The Environment and Directed Technical Change,” published in 2012 and co-written with Philippe Aghion, Leonardo Bursztyn, and David Hemous, Acemoglu argues that a mixture of carbon taxes and research subsides could “redirect technical change and avoid an environmental disaster” by imposing a cost on dirty technology and boosting clean technology.
Such an approach would probably rest heavily on positive subsidies and encouraging clean technology and less on a carbon tax, the four write (although a carbon tax would still help to “discourage research” into polluting technologies). It would also need to happen soon.
“Directed technical change also calls for immediate and decisive action in contrast to the implications of several exogenous technology models used in previous economic analyses.”
This framework does not precisely match United States policy — we have no carbon tax — but it does somewhat approximate it. The Biden administration’s approach to climate policy centers on large-scale investments in clean technologies, whether they’re tax credits for non-carbon-emitting electricity production or financing for clean energy projects from the Loan Programs Office, combined with a suite of Environmental Protection Agency rules that are intended to reduce pollution from fossil fuel power plants (along with an actual direct fee on methane emissions).
This approach is embedded within an overall industrial policy that’s supposed to make the economy more productive — a counter-argument to the idea that climate spending is an economic drag that trades off with environmental harms in the future. Acemoglu, too, questions the idea that there’s a tradeoff between economic growth and spending to combat climate change. Not only could renewables be cheaper than fossil fuels, “an energy transition can improve productive capacity and thus lead to an expansion of output, because transition to cleaner technologies can boost investment and the rate of technological progress,” he and his co-authors write.
Acemoglu has also weighed in on one the more controversial questions in climate policy and economics: the shale gas boom. In a 2023 paper written, again with Aghion, Hemous, and Lint Barrage, he weighed the effects of dramatic increase of domestically extracted natural gas, focusing on the importance of technological development. The Environmental Protection Agency attributes the decline in US greenhouse gas emissions since 2010 in part to “the growing use of natural gas and renewables to generate electricity in place of more carbon-intensive fuels,” due to natural gas replacing coal electricity generation. While this logic has come under fire from some activists and researchers who say the government’s models underestimate methane leakage from natural gas operations, Acemoglu took a different tack.
Yes, natural gas substituting for coal reduces short-run emissions, he and his co-authors concluded, but also, “the natural gas boom discourages innovation directed at clean energy, which delays and can even permanently prevent the energy transition to zero carbon.” They backed up this assertion by pointing to a decline in the total share of patents rewarded to renewable energy innovation between 2009 and 2016.
The way out is that same mix of carbon prices and technology subsidies Acemoglu has been recommending in some form since Kelly Clarkson was last on top of the charts, which “enables emission reductions in the short run, while optimal policy would ensure that the long-run green transition is not disrupted.”
If the Biden Administration’s climate policy works out, it will look something like that, and the prize will be far greater than anything given out in Stockholm.
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Plus three big announcements from the annual hullabaloo.
Now in its fourth year, San Francisco Climate Week is noticeably bigger and buzzier each time I go. When I first attended in 2024, everyone was trying to shoehorn generative artificial intelligence into climate solutions. Last year, founders and funders were struggling to figure out how to deploy capital and stay afloat after Trump took a hammer to Biden-era climate incentives.
This year — which reportedly saw double 2025’s attendance, with roughly 60,000 people choosing from more than 700 events — everyone was banking on the data center buildout, the speed-to-power race, and the broader effort to squeeze more capacity out of the existing grid to save climate tech. Given that the AI race is essentially keeping the U.S. economy afloat during a tumultuous year of tariffs, war, and ongoing energy price shocks, that doesn’t look like such a bad bet, at least for now.
But it wasn’t the only issue at play. Critical minerals were another hot topic, while conversations around adaptation and resilience are finally becoming a bigger part of the picture. I also moderated a surprisingly technical panel on distributed energy resources and virtual power plants, though that inevitably managed to touch on data centers and strategies for managing AI-driven load growth, too.
At Heatmap House, our day of conversations and roundtables with leading climate thinkers, one investor mentioned he had recently backed a lab-grown meat startup – a true contrarian investment if I’ve ever seen one. And my colleague Robinson Meyer hosted a fascinating pair of back-to-back conversations on a controversial geoengineering approach known as solar radiation management, which proposes using aerosolized chemicals to reflect sunlight away from Earth. He first spoke with the CEO of Stardust Solutions, a private company actively building this tech, followed by an advocate for research into solar engineering but certainly not near-term commercial deployment.
It’s impossible to capture the exact essence of a conference with hundreds of individual events — at some level, it’s always going to be what you make of it. But as I bopped around the city shaking hands, I picked up a range of interesting perspectives, along with three pieces of news that I thought were worth unpacking here — one related to funding for critical minerals, and two focused on bringing data centers online as quickly and cleanly as possible.
At a Climate Week event, Atana Elements CEO Thomas Wilson disclosed that the critical minerals exploration startup has quietly closed its seed round, which totals $27.5 million, according to an SEC filing. The round includes participation from Earthshot Ventures, as well as Lowercarbon Capital, and Hitachi Ventures. Last year Atana officially — but stealthily — spun out of Lilac Solutions, a startup developing a cleaner method of extracting lithium from saltwater brines.
But while Lilac is focused on commercializing its novel lithium extraction technology, Atana is tackling the broader upstream mineral discovery process. Its scope includes lithium, but extends to other so-called “flowing” critical minerals dissolved in brines, such as helium, hydrogen, and copper. In the years before the spinout, Atana compiled reams of historical geological datasets — think “Soviet-era oil and gas reports,” Wilson said. It used these to train predictive artificial intelligence models designed to identify previously overlooked mineral deposits.
“You can think of Atana as somewhat analogous to Kobald, but for flowing minerals such as lithium brines rather than hard rock resources,” said Matt Logan of Earthshot Ventures at the event, hosted by the nonprofit climate tech investor Elemental Impact. Kobald similarly uses AI for minerals discovery, and following a $537 million Series C round last year, is reportedly valued at nearly $3 billion.
Atana formed as a team within Lilac back in 2019, benefiting from the more mature startup’s relatively long and well-funded runway — Lilac has raised about $315 million to date. “We have found some of the biggest deposits in the world, and we’ve drilled 19 exploration wells across three continents,” Wilson said. “Around 2% to 3%of the world’s new minerals have been found by this particular team.” That’s a huge number for a startup that’s yet to even formally launch.
To date, Atana has identified a high-grade lithium brine resource in an Argentinean salt flat and secured 1.5 million acres across Germany and Poland, where it’s conducting exploration for lithium brine deposits. While lithium is likely to remain a core market, Wilson said he’s looking forward to broadening Atana’s ambition, asking “now that we’ve been released from the Lilac lithium play, what can we do in copper, helium, hydrogen, and where can we do that in other parts of the world?”
Data center-driven load growth, speed-to-power, and grid flexibility dominated the conversation at SF Climate Week, and the much-hyped data center management platform Emerald AI came prepared with a fitting announcement: It’s partnering with Silicon Valley Power, Santa Clara’s municipally owned utility, not only to demonstrate the benefits of flexible data centers for the grid, but to actually attempt to implement a program that expedites grid interconnection for data centers with flexible loads.
The latter objective differentiates this from Emerald AI’s earlier utility pilots, which were primarily technical demonstrations of its software — proving it can slow, pause, or reroute AI workloads during periods of peak demand without disrupting critical operations, which research shows could unlock nearly 100 gigawatts of grid capacity. This new pilot appears to go a step further by explicitly linking that flexibility to interconnection outcomes. As Emerald AI’s business development lead Daniel Padilla confirmed at a panel, data centers operating flexibly in Silicon Valley Power’s territory “will get material acceleration in time-to-power.”
Santa Clara, which sits about 45 miles south of San Francisco, is a major West Coast data center hub, with roughly 58 facilities packed into 19 square miles, according to Chris Karwick, Silicon Valley Power’s assistant director of utility operations, who spoke later at the same event. Karwick confirmed that the pilot with Emerald includes a “flexible load interconnection program,” and noted that while utilities broadly recognize the need for solutions to rising data center load growth, few are eager to be first movers. “We’re the electric utility for a city. We’re not known for being innovative — we’re usually followers. So this is big for us,” he explained.
Since emerging from stealth last summer, Emerald AI has already raised $67.5 million, and is now working with Nvidia to develop a 96-megawatt flexible data center facility in Virginia called Aurora, which Padilla said is expected to come online in October.
As Heatmap’s end-of-year survey revealed, experts widely consider Meta to be among of the worst hyperscalers when it comes to its climate impact and sustainability efforts. But the company nevertheless maintains a net-zero by 2030 target, even as it continues to bring plenty of new natural gas capacity online to power its AI expansion. Now, however, the company is throwing its weight behind a markedly greener — and less proven — technology, the ultra-long duration energy storage startup Noon Energy.
Meta announced this week that it has reserved 100 gigawatt-hours of storage capacity from Noon, which completed a successful demonstration of its 100-plus-hour carbon-oxygen battery earlier this year. Noon’s system charges by breaking down CO2 and discharges by recombining it using a technology known as a reversible solid-oxide fuel cell, and is certainly one of the earliest-stage data center power technologies that Meta has supported.
“There’s an urgency now that I don’t think existed before,” Carolyn Campbell, head of clean technology innovation at Meta said at a Climate Week panel, referring to the need to deploy emerging energy tech to meet the surge in data-center driven electricity demand. She added that Meta is evaluating how its procurement strategy can help commercialize early-stage climate tech — an area it so far hasn’t backed as extensively as its peers Google and Microsoft.
“When we sign a partnership agreement with a new company, does that help them with their next financing round because their investors see a different level of interest in the technology than they would have otherwise?” Campbell speculated. “Can we provide some upfront development capital to support a pilot that was maybe conceptual — going from concept to reality? So I think that’s one of the things that I’m really excited about with the Noon partnership.”
As I reported earlier this year, Noon CEO Chris Graves expects initial commercial deployments to begin as soon as next year, with early systems installed onsite to allow data centers or other large loads to draw power directly from Noon’s batteries rather than interconnecting to the grid itself. The startup’s collaboration with Meta will kick off with a 2.5-gigawatt-hour project, scheduled for completion by 2028.
Climate tech investors talk investing in moonshots at SF Climate Week.
Three climate investors walked onto a boat.
That’s not the start of a joke — it’s a description of a panel at Heatmap House, a day of conversations and roundtables with leading policymakers, executives, and investors at San Francisco Climate Week (at the Klamath, a venue made out of an old ship).
Heatmap’s Katie Brigham moderated the roundtable conversation with Prelude Ventures Managing Director Gabriel Kra, Azolla Ventures co-founder Matthew Nordan, and Toba Capital Partner Susan Su. Many of their investments are in moonshot climate technologies that other financial players might avoid.
“Things that look contrarian is kind of what we do,” said Kra. “Occasionally, there’s an idea that looks bad that’s actually a good idea.”
Prelude Ventures funds early-stage climate companies that are “weird, or non-consensus, or counter cyclical, or just ahead of the curve,” according to Kra.
Nordan, for instance, said he backs cultivated meat despite some doubts that the category will achieve widespread popularity.
“I’m presently leading an investment in a company called Pythag Technologies,” said Nordan, talking about the generative AI company focused on lab-grown meat. “It’s actually a really interesting time to invest counter-cyclically in a field like that.”
Like Nordan, Su described her firm as one that is open to unconventional choices.
“We are very weird in that we invest across lots of different categories and lots of different stages,” said Su.
One of her personal investments is in Xeno. “This company does electric motorbikes for commercial drivers, as well as swapping and energy networks in emerging markets, starting in East Africa,” she explained.
The panelists told Katie that opting for less popular investments can be rewarding because they may help fund a major breakthrough.
“We placed a couple of bets on fusion before this current melée occurred that sort of had everybody thinking that, you know, fusion was the next hot thing,” said Kra (who claimed that he intended the pun).
Nordan emphasized the gap that venture can fill, left by larger institutional investors who may shy away from high-risk technologies.
“If there are true breakthroughs out there that just may not be investable by mainstream finance at the earliest stages,” Nordan said, “not because people don’t think they’re really good ideas, but they may be crazy early-stage or kind of weird, or non-consensus, or counter-cyclical, or just ahead of the curve, it would be a real shame.”
Noise ordinances won’t necessarily stop a multi-resonant whine from permeating the area.
What did you do for Earth Day this year? I spent mine visiting a notoriously loud artificial intelligence campus in Virginia’s Data Center Alley. The experience brought home to me just how big a problem noise can be for the communities adjacent to these tech campuses – and how much further local officials have to go in learning how to deal with them.
The morning of April 22, I jumped into a Toyota Highlander and drove it out to the Vantage VA2 data center campus in Sterling, Virginia, smack dab in the middle of a large residential community. The sensation when I got out of the car was unignorable – imagine an all-encompassing, monotonous whoosh accompanied by a low rumble you can feel in your body. It sounds like a jet engine that never stops running or a household vacuum amplified to 11 running at all hours. It was rainy the day I visited and planes from nearby Dulles International Airport were soaring overhead, but neither sound could remotely eclipse the thudding, multi-resonant hum.
If you want to hear the sound for yourself, this video accurately sums it up.
After parking nearby I walked to one of the residential enclaves adjacent to VA2. One resident of a home across the street, who declined to give me her name, said she moved there before the project was completed. When asked how she felt about the noise, she told me, “It’s not as bad as it could be on the other side [of the data center], where all the equipment is.” (While the sound does get louder on the other side, I could clearly hear VA2 from her driveway.)
VA2’s noise has been causing problems for months, as documented by numerous social media posts, local news clips, and a feature published in Politico. It’s doubtful many of those living near the data center wanted it there. The project was built quite quickly – so quickly that Google Earth still shows undeveloped woodlands on the site. Per public filings, Vantage first proposed the facility in 2022 under the county’s fast-track commercial incentive program, an expedited permitting process for specific preferred industries. It was under construction as recently as October 2024, according to images captured by Google Street View.
Noise is one of the most common issues associated with data centers. At least a third of all conflicts over data centers are over noise complaints, and noise is the number one reason for opposition in cases where projects were ultimately canceled, according to Heatmap Pro data.
This issue goes back almost a decade. In 2019, residents of the Phoenix ex-urb Chandler, Arizona, became irate after a loud monotonous hmmmm began emanating from a CyrusOne data center. In that case, CyrusOne traced the noise back to chilling fans, and the company reduced the sound with muffling devices.
Chandler wound up adopting a new ordinance in 2023 requiring sound mitigation measures to prevent companies from exceeding certain ambient noise levels in the surrounding areas. That did nothing to improve the mood of the people who live there, however. Now Chandler, once known as a potential data center development hub, is now firmly in the anti- camp. The city council unanimously rejected a proposed $2.5 billion data center campus in December over noise concerns, despite an expensive lobbying push backed by former Arizona Senator Kyrsten Sinema.
As data centers spread across the U.S., noise is becoming an ever-more-common complaint. You can hear the familiar hum at a DataOne data center project in Vineland, New Jersey. DataOne told us they “understand concerns about ambient noise in the area” and are operating within the limits of local noise ordinances.
The hum is also in Dowegiac, Michigan, where people living nearby are calling their new Hyperscale Data facility a “noise trap,” with little explanation to date for the issue. Hyperscale Data did not respond to a request for comment.
And the hum is in Mount Pleasant, Wisconsin, where the sound from a new Microsoft data center campus rises above any din from rain. The hyperscaling giant is doing more to mitigate the issue than I’m used to seeing from data center developers, however.
On April 15, the company published an update on its own internal investigations into noise complaints. “Although the facility noise levels meet the requirements set by local ordinance, we take this feedback seriously and understand the impact this has had on our neighbors,” the update read. “We anticipated that our systems would need adjustments and create some noise as part of the datacenter startup, but we did not expect the tonal quality of the sound to travel as far as it has.”
To address the noise, Microsoft said it was “manually adjusting the cooling fans” to reduce noise, and that “we expect this change to address community concerns about the tonal humming.” On top of that, the company said it will install “additional sound reduction components” to “provide even further reductions in measured sound levels.” A Microsoft spokesperson told me in an email: “We’ve identified the source of the noise concerns and have implemented changes to significantly reduce sound from our facility.”
It isn’t cooling fans causing the noise at Vantage’s VA2 in Virginia, however. The sound, according to media reports, is coming from gas turbines powering the data center.
VA2 is one of the first in Virginia to function entirely off-grid, a design companies are adopting in order to avoid lengthy grid connection processes. Company spokesman Mark Freeman told me the facility is “fully compliant with all local noise ordinances, and this has been verified by third-party sound studies.”
“Additionally, in line with our commitment, we are actively working with third-party engineers to explore additional sound mitigation options,” Freeman continued. Freeman said “Our goal is to further reduce noise levels where possible and continue to foster a positive environment for everyone.”
Here’s the thing, though: I visited the Vantage campus after initially hearing from the company, and it was loud. Very loud.
I did not bring a decibel meter with me, so I cannot know whether they were operating within legal limits that day. What I do know is that noise ordinances struggle to properly capture sounds in multiple frequency ranges, making high and low frequencies challenging to regulate, according to the Environmental and Energy Study Institute, a bipartisan non-profit think tank. Officials representing Loudon County, where VA2 is located, have acknowledged that the local ordinance may need to change in order to address the most distressing frequencies from the data center campus.
“We can change the zoning ordinance and noise ordinance,” Loudon County supervisor Mike Turner told local TV station WUSA9 last week. “Noise can be mitigated. I just don’t believe that the noise problem cannot be solved.”
I wrote Freeman, the Vantage spokesman, to tell him I had visited the VA2 campus and found the noise to be “quite foul.” He replied soon after, telling me that Vantage is going “above and beyond what is required in order to address concerns from nearby residents.” The company is using “targeted enhancements to turbine-related equipment such as dampening equipment, enclosure inlets and enclosure exhausts.” These measures “represent meaningful progress and will help us better evaluate the effectiveness of the broader solutions under consideration.” Freeman also said the company is “actively assessing additional options” focused on “targeted frequency ranges.”
As we continue to track local regulation of data centers, I’m we’ll see many more cases like VA2, in which obtrusive sound prompts forms of regulation we may have never seen before.
Or, people will just hear these noises and say no to more data centers.