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Plus how it’s different from carbon capture — and, while we’re at it, carbon offsets.

At the heart of the climate crisis lies a harsh physical reality: Once carbon dioxide enters the atmosphere, it can stay there for hundreds or even thousands of years. Although some carbon does cycle in and out of the air via plants, soils, and the ocean, we are emitting far more than these systems can handle, meaning that most of it is just piling up. Burning fossil fuels is like continuously stuffing feathers into a duvet blanketing the Earth.
But there may be ways to begin plucking them out. That’s the promise of carbon removal, a category of technologies and interventions that either pull carbon dioxide from the air and store it securely or enhance the systems that naturally absorb carbon today.
Carbon removal is not, inherently, a license to continue emitting — it is far cheaper and easier to reduce the flow of emissions into the atmosphere than it is to remove them after the fact. Climate action has been so slow, however, that removing carbon has become a pressing consideration.
There are many technical, political, and economic challenges to deploying carbon removal at a meaningful scale. This guide will introduce you to some of those challenges, along with the basics of what carbon removal is, the rationale for trying to do it, and the risks and trade-offs we’ll encounter along the way. Let’s dive in.
Variously called carbon removal, carbon dioxide removal, CDR, and negative emissions technologies, all of these terms refer to efforts to suck carbon from the atmosphere and store it in places where it will not warm the planet, such as oceans, soils, plants, and underground. The science behind carbon removal spans atmospheric studies, oceanography, biology, geology, chemistry, and engineering. The carbon removal “industry” overlaps with oil and gas drilling, farming, forestry, mining, and construction — sometimes several of these sectors at once.
Carbon removal encompasses an astonishingly wide range of activities, but the two best known examples are probably the simple practice of planting a tree and the complex engineering project of building a “direct air capture system.” The latter are typically big machines that use industrial-sized fans to blow air through a material that filters carbon dioxide, and then apply heat to extract the carbon from the filter.
But there are many other methods that fall somewhere in between. “Enhanced rock weathering” involves taking minerals that are known to slowly pull carbon from the air as they break down over millennia and trying to speed up those reactions by grinding them into a fine dust and spreading it on agricultural fields. In “ocean alkalinity enhancement,” minerals are deposited directly into the ocean, catalyzing chemical reactions that may enable surface waters to soak up more carbon from the atmosphere. Companies are also experimenting with ways to take carbon-rich organic waste, like sewage, corn stalks, and forest debris, and bury it permanently underground or transform it into more stable materials like biochar.

If you read the words “carbon capture” literally, then yes, carbon removal involves capturing carbon. It’s common to see news articles use the terms interchangeably. But “carbon capture” is also the name for a technology that addresses a very different problem, with different challenges and implications. For that reason, it’s useful to distinguish carbon removal as its own category.
By definition, carbon removal deals with carbon that was previously emitted into the atmosphere — the feathers piling up in the duvet. Carbon capture, by contrast, has historically referred to systems that collect carbon from the flue of an industrial site, like a power plant, before it can enter the atmosphere.
Some carbon removal methods, such as the aforementioned direct air capture machines, share equipment with carbon capture. Both might use materials called sorbents to separate carbon from flue gas or from the air, and both rely on pipelines and drilling to transport the carbon to underground storage wells. But carbon capture cleans up and extends the relevance of present-day industrial processes and fuels. Carbon removal can be deployed concurrent with or independent of today’s energy systems and addresses the legacy carbon still hanging around.
There are different opinions on this. Some consider “geoengineering” to mean any large-scale intervention to counteract climate change. Others reserve the term for interventions that deal only with the effects of climate change, rather than the root cause. For example, solar radiation management, an idea to release tiny particles into the atmosphere that reflect sunlight back into space, would cool the Earth but not change the concentration of carbon in the atmosphere. If we started to do it at scale and then stopped, global warming would rear right back, unless and until the carbon blanketing the atmosphere was removed.
Any global cooling achieved by carbon removal, by contrast, would likely be more durable. To be clear, scientists don’t propose trying to use carbon removal to bring global average temperatures back down to levels seen during the pre-industrial period. It would already take an almost unimaginably large-scale effort to cool the planet just a half a degree or so with carbon removal — more on that in a bit.
While scientists have been talking about carbon removal for decades, a sense of urgency to develop practicable solutions emerged in the years following the 2015 Paris Climate Agreement. The signatories to that United Nations agreement, which included almost every nation in the world, committed to limit warming to “well below 2 degrees Celsius above pre-industrial levels” and strive for no more than 1.5 degrees of warming.
When scientists with the United Nations’ Intergovernmental Panel on Climate Change reviewed more than a thousand modeled scenarios mapping out how the world could achieve these goals, they found that it would be extraordinarily difficult without some degree of carbon removal. We had emitted so much by that point and made so little progress to change our energy systems that success required either cutting emissions at an unfathomably fast clip, cutting emissions more gradually and rapidly scaling up carbon removal to counteract the residuals, or “overshooting” the temperature targets altogether and using carbon removal to back into them.
If limiting warming to 1.5 degrees was a stretch back then, today it’s become even more implausible. “Recent warming trends and the lack of adequate mitigation measures make it clear that the 1.5°C goal will not be met,” reads a January 2025 report from the independent climate science research group Berkeley Earth. The authors expect the threshold to be crossed in the next five to 10 years. Another independent research group, Climate Action Tracker, estimates that current policies put the world on track to warm 2.7 degrees by the end of the century.
To many, carbon removal may seem Sisyphean. As long as we’re still flooding the atmosphere with carbon, trying to take it out bit by bit sounds futile.
But our relatively slow progress cleaning up our energy systems only strengthens the case to develop carbon removal. Just think of all the carbon that’s continuing to accumulate! If we reach a point in the future where energy is cleaner and emissions are significantly lower, carbon removal offers a chance to siphon out some of it and start to reverse the dangerous effects of climate change. If we don’t start building that capacity today, future generations will not have that option.
Scientists also make the case that carbon removal will be essential to halting climate change, never mind reversing it. That’s because there are some human activities that are so difficult or expensive to decarbonize — think commercial aviation, shipping, agriculture — that it may be easier, more economical, or even more environmentally friendly to remove the greenhouse gases they emit after the fact. Stopping the planet from warming does not necessarily require eliminating all emissions. The more likely path is to achieve “net zero,” a point where any remaining emissions are counterbalanced by an equal amount of carbon removal, including from human activities as well as natural carbon sinks.
It would certainly be easier, less expensive, and less resource-intensive to cut emissions today than it will be to remove them in the future. Some scientists have even argued we may be better off assuming carbon removal will not work at scale, as that might motivate more rapid emissions reductions. But the IPCC concluded pretty definitively in 2022 that carbon removal will be required if we want to stabilize global temperatures below 2 degrees this century.
The Paris Agreement temperature targets are not thresholds after which the world falls apart. But every tenth of a degree of warming will strain the Earth’s systems and test human survival more than the last. Abandoning carbon removal means accepting whatever dangerous and devastating effects we fail to avoid.
The latest edition of the “State of CDR” report, put together by a group of leading carbon removal researchers, found that all of the Paris Agreement-consistent scenarios modeled in the scientific literature require removing between 4 billion and 6 billion metric tons of carbon per year by 2035, and between 6 billion and 10 billion metric tons by 2050. For context, they estimate that the world currently removes about 2 billion metric tons of carbon per year over and above what the Earth would naturally absorb without human interference, 99% of which comes from planting trees and managing forests.
These estimates, however, are steeped in uncertainty, as the models make assumptions about the cost and speed of decarbonization and society’s willingness to make behavioral changes such as eating less meat and flying less. We could work toward other futures with less reliance on carbon removal. We could also passively drift toward one that calls for far more.
In short, the amount of carbon removal that may be desirable in the future depends largely on how quickly we reduce emissions and how successful we are in solving the hardest-to-decarbonize parts of the economy. It also depends on what kinds of trade-offs society is willing to make. Large-scale carbon removal would likely be resource-intensive, requiring a lot of land, energy, or both, and could impinge on other sustainability goals.
Afforestation and reforestation are responsible for most carbon removal that happens today, and planting more trees is essential to tackling climate change. But it would be a mistake to bank our carbon removal strategy on that approach alone. For one, depending on how much carbon removal is needed, there may not be enough land that can or should be forested without encroaching on food production or other uses. Large-scale tree planting efforts also often produce monoculture plantations, which are an inexpensive way to maximize carbon sequestration but can harm biodiversity.
The other argument for developing alternative solutions has to do with time. As I explained earlier, carbon dioxide emissions can stay in the atmosphere for millennia. Most tree species do not live longer than 1,000 years, and some are known to survive only for a few decades. The carbon stored in trees is vulnerable to fires, pests, disease, drought, and the simple fact of mortality. Climate change is already increasing these risks.
If we use carbon removal to neutralize residual fossil fuel emissions — which, again, could help us halt warming faster than we otherwise would be able to — the carbon will need to stay out of the atmosphere for as long as the emissions stay in. When we rely on trees to offset CO2 emissions, the climate scientist Zeke Hausfather wrote in a 2022 New York Times op-ed, we “risk merely hitting the climate ‘snooze’ button, kicking the can to future generations who will have to deal with those emissions.”
Every form of carbon removal has trade-offs. Direct air capture uses lots of energy; enhanced rock weathering relies on dirty mining processes and its effectiveness is difficult to measure. It’s still too early to know the extent to which these can be minimized, or to say what the ideal mix of solutions looks like.
There are hundreds of companies and research labs around the world working on various methods to remove carbon from the atmosphere, and the number of real-world projects is growing every year. But the field’s progress is limited by funding. There’s no natural market for carbon removal — it’s essentially a public service. Most of the money going into the field has come from tech companies like Microsoft and Stripe, which have voluntarily paid for carbon removals that haven’t happened yet to help startups access capital to deploy demonstration projects.
Experts across the industry say that in order for carbon removal to scale, governments will need to play a much bigger role. For one, they’ll likely need to pony up for research and development. The U.S. government has been spending about $1 billion per year to support carbon removal research, but according to one estimate, we’ll need to scale that to $100 billion per year by 2050 in order to make the technology set a viable solution. Many argue that compliance markets, in which governments require companies to lower their emissions and permit the purchase of carbon removal to meet targets, will be key to creating sustained demand. (These are not to be confused with carbon offsets, which have also been part of these markets, but have been more focused on projects that avoid emissions.) That’s already starting to happen abroad — this summer, the U.K. decided to incorporate removals into its emissions cap and trade program in 2029, and the E.U. proposed doing the same.
The few programs we do have in the U.S., on the other hand, are currently at risk. Congress appropriated $3.5 billion to the Department of Energy in 2021 to develop several direct air capture “hubs,” but Secretary of Energy Chris Wright may try to cancel the program. The agency also had a pilot program in which it planned to pre-pay for carbon removal, similar to what the tech companies have done, but it’s unclear whether that will move forward. But there’s more action in other countries.
Another central preoccupation in the field today is the development of robust standards that ensure we can accurately measure and report how much carbon is removed by each method. While this is relatively straightforward for a direct air capture system, which is a closed system, it’s much harder for enhanced rock weathering, for example, where there are a lot of outside variables that could affect the fate of the carbon.
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Average U.S. gasoline prices have slipped back above $4 a gallon.
A decade ago, the Princeton economists Alan Blinder and Mark Watson published a paper about a fact that they called “not nearly as widely known as it should be”: The U.S. economy has done better under Democratic presidents than Republican presidents.
Blinder was not a completely impartial observer — he served on President Bill Clinton’s Council of Economic Advisers, and Clinton later appointed him vice chair of the Federal Reserve — but he and Watson compiled a lengthy list of statistics to back up their claim. The U.S. economy has grown faster, produced more jobs, had a lower unemployment rate, seen higher corporate profits and investment, and experienced better stock market performance under Democrats than Republicans. While the original paper described this divergence from 1947 to 2013, recent research has shown that it held through the subsequent Obama, Trump, and Biden administrations.
The only metric where the two parties come close is inflation, but Democrats still seem to have a tiny edge there, even after the Biden-era inflation.
Why? Blinder and Watson found that it didn’t entirely come down to timing. (Other observers have disputed this, arguing that Republicans tend to get elected at the peak of economic booms, while Democrats win during or just after recessions.) Instead, Blinder and Watson found that a few factors — oil shocks, productivity growth, a more favorable international growth environment, and perhaps better consumer confidence — could explain much of the divergence.
Of course, these factors can’t be entirely separated from a president’s record in office. Oil shocks, for example, tend to drag down global growth, which in turn slows the U.S. economy. And as Watson and Blinder write, some of those oil shocks “may have been induced by [American] foreign policy.” By that mechanism, presidential bellicosity in the Middle East can translate into poorer economic outcomes. This belligerence may even be, as the writer Matt Yglesias contended earlier this year, Republican presidents’ “worst economic policy.”
Why am I recounting all this? Because average U.S. gasoline prices have slipped back above $4 a gallon, according to AAA. (As I write, they stand at $4.01.) The collapse of the ceasefire with Iran — and President Trump’s inability to figure out how to end a war he started — are once again driving up fossil fuel prices.
The numbers add up. Defense Secretary Pete Hegseth told Congress today that the Iran War has cost $37.5 billion so far, but according to a tracker from Brown University researchers, Americans have already paid nearly double that — $71 billion! — on more expensive gasoline and diesel fuel. A billion here, a billion there, and pretty soon you’re talking about real economic underperformance. That estimate suggests the burden of higher energy prices from the Iran War has wiped out the expected $65 billion consumer boost from the One Big Beautiful Bill Act’s expanded tax refunds.
Of course, from a decarbonization perspective, higher gas prices are good, in theory. They encourage people to drive less and to switch to more fuel-efficient — or even fully electrified — vehicles, reducing carbon emissions. (This is part of why I joke about Degrowth Donald, raising fuel prices as he goes.) But short-term oil shocks are the second worst kind of emissions reductions after recessions: They are unlikely to last; they will probably not lead to real decarbonization; and they produce a lot of human misery along the way.
Perhaps this oil spike won’t persist. Perhaps Trump will find a way out of the quagmiring conflict in the Persian Gulf. Perhaps Republican presidential underperformance really does all come down to luck, too. (Or maybe, as a 2020 paper argued, Democratic presidents benefit from a “pre-election growth surge” just before a Republican wins.) But I think it’s worth noting that the recent trickle of news — and the recent and less noticed surge in gas prices — is how an oil interruption results in slower growth overall. If oil shocks really are responsible for GOP presidential underperformance, this is what it would look like.
The irony is that technology finally exists to make the American transportation sector — and the overall economy — less dependent on oil. This technology was developed at the American public’s expense to help manage a scenario much like this one. And the administration has undermined it at almost every opportunity.
The latest forecast from BloombergNEF raises its estimate for AI electricity demand by 83%.
Energy analysts at BloombergNEF predicted last year that U.S. data center electricity demand would reach 106 gigawatts within the next decade. In its latest outlook, released Tuesday, the group increased its forecast by 83%, to 194 gigawatts — enough to light up 150 million homes, or roughly every single household in the country today.
Even that may be a conservative estimate. If data center developers were to max out the total number of the high-powered chips used to train and operate AI models forecast to be delivered by 2035, electricity demand would reach 229 gigawatts.
Over 100 gigawatts of that demand has entered the development pipeline since the beginning of this year, the result of both rising demand for artificial intelligence and shortened construction timelines for data centers. Some developers have oriented their site selection around energy availability, redeveloping brownfield energy generation sites for quick access to electricity and developing relationships with utilities. Others have eschewed grid interconnection entirely and instead relied behind-the-meter power generation.
As Mark Daly, head of technology and innovation at BNEF and a co-author of the report, pointed out to me, a growing share of the project pipeline comes from first-time developers. He and his colleagues project that non-hyperscaler data center capacity will nearly quintuple over the next decade, as hyperscaler capacity almost triples. That could ultimately create pipeline risks, however, as small-scale developers lack the capabilities of more experienced developers to optimize around pre-construction bottlenecks and navigate rapidly growing local opposition. Although local opposition to data centers has become prevalent, historic trends and predictions on how quickly developers are able to navigate hostile environments are built on the proficiency of experienced developers. Because first-time developers may face more challenges, Daly told me that data center projects overall “would see an increase in the number of delays.”
All of this, of course, comes with a big asterisk. The data center sector is rapidly evolving, and therefore highly uncertain. Among leading market research firms, BNEF said, there is a 100-gigawatt spread between the lowest and highest predicted electricity demand from data centers in 2030. Driving this spread are differences in assumptions about the average development timeline for a data center project. Daly told me that BNEF’s “project-based estimate is middle-of-the-road to bearish compared to other outlooks,” but also acknowledged that the fickle nature of local opposition on development timelines may place more constraints on future data center development than currently modeled.
No matter which prediction turns out to be most accurate, hourly U.S. electricity demand will come under intensifying pressure. BNEF predicts that average hourly U.S. electricity demand from AI workloads will grow five-fold over next nine years, reaching 120 gigawatts by 2035. That will put data centers at 12% of total electricity consumption on average by 2030, and 20% in 2035, up from 5% in 2025, according to figures from the International Energy Agency. This will put particular strain on electricity prices in markets like the Mid-Atlantic’s PJM, where data centers already comprise nearly a third of electricity consumption, and Texas’ ERCOT, where data centers currently consume a fifth of the market’s electricity.
Even the most conservative bet on future data center electricity demand is a scenario we’re not prepared for. If the Electric Power Research Institute’s prediction that just 56 gigawatts of new data center capacity will be up and running by 2030 — the lowest estimate BNEF cited — that would still consume the equivalent of Sweden’s total energy supply. Absent investments from utilities into grid resilience and intensive permitting reform to speed up renewable energy siting and development, PJM and ERCOT customers will not be the only ones feeling a serious squeeze in their wallets when their monthly utility bills arrive.
Current conditions: Tropical Depression Two strengthened into Tropical Storm Bertha yesterday, recycling the name of the 1996 Atlantic hurricane season’s first major storm • Floods from the monsoon season killed at least four people in Vietnam and left as many missing • Lightning in Utah sparked the state’s latest wildfire, the Meeks Fire, near the Strawberry Reservoir.
President Donald Trump’s on-again, off-again feud with America’s northern neighbor is, as of Monday, back on again. The White House imposed 50% tariffs on most Canadian goods, accusing the nation’s geographically nearest ally and closest cultural bedfellow of unfairly discriminating against American automotives, alcohol, and dairy products. The move threatens to unleash what the Associated Press called “a new wave of economic chaos, with risks of higher inflation and further fraying of relations between two nations that had been closely woven together before Trump’s return” to office.
In its announcement, the Trump administration said the new tariffs would “apply to all covered goods regardless of whether a good originates under the U.S.-Mexico-Canada Agreement,” referring to the Trump-negotiated North American free trade agreement, which the U.S. opted this month not to renew. This struck my colleague Robinson Meyer as ominous. “If the White House now thinks it can levy taxes despite that pact,” he wrote in yesterday’s Heatmap Daily newsletter, “then the risks for Ford, General Motors, and their suppliers have increased.”
Perhaps the only thing growing faster than voters’ antipathy toward data centers is the market’s desire for more of them. Demand for data centers is ballooning at such a rapid clip that BloombergNEF just raised its total forecast for 2035 by a jaw-dropping 83%. The latest data outlining the best-case scenario from the energy consultancy, released Tuesday morning, shows the total installed capacity of U.S. data centers reaching 194 gigawatts in the next nine years. The surge reflects how quickly new server farms are flowing into the project pipeline. In a bid to hedge against the continued expansion, BNEF created a new scenario based on the implied power demand of forecast shipments of microchips for AI computers up to 2033. This scenario implies an even greater need for power: 229 gigawatts of demand from data centers in just the next seven years. And that doesn’t count the continued growth of demand from data centers carrying out non-AI functions, such as traditional cloud computing workloads. This comes as the latest Heatmap Pro polling shows that seven in 10 Americans now oppose data centers in their backyard, a marked shift from last September, when the same survey showed voters evenly split in support and opposition.
That ballooning demand is already showing up in power markets. Of the $16.4 billion in charges from PJM Interconnection’s most recent capacity auction, $6.3 billion — some 38% — stems from data centers. That’s what Joseph Bowring, president of PJM’s independent market monitor Monitoring Analytics, told Utility Dive last week. In the last four base capacity auctions the nation’s largest grid operator held, 46% of capacity charges were driven by data centers. “PJM is continuing to act like it’s business as usual,” Bowring told the trade publication Friday. “You have to open your eyes and recognize that it is really a paradigm shift, and failing to do that imposes costs on other customers.”

On a logical level, it’s a simple supply and demand problem. The supply of electricity is not growing as quickly as demand, all while the Trump administration eliminates subsidies that once buoyed investments in new supply. As a result, corporate electricity deals look poised to increase in price. But not for every generating source. New estimates from LevelTen, a marketplace for power purchase agreements, found that solar PPAs were 5% cheaper in the second quarter of this year compared to the first quarter. In a piece by my colleague Matthew Zeitlin, LevelTen attributed the decline to an especially steep drop in prices in California’s electricity market. Excluding CAISO, solar PPA prices nationwide dropped slightly less than 2%. While hyperscalers are still buying solar, LevelTen found that commercial and industrial buyers are pulling back, creating a “continued softening in the market’s buy-side.” “We saw a lot less corporate energy buyers in the space in 2025 — 40% less — and that is just due to the increase of hyperscalers and data centers getting projects and snapping them up quickly,” Sarah Wolf, LevelTen’s director of North American transactions, told Matthew.
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Ah, Germany. The land of the Autobahn. Diesel-powered industry. The purring engines of BMWs, Porsches, and Mercedes-Benzes. The nation’s automotive might makes its latest milestone particularly important: Electric vehicles just outsold gas and diesel cars for the first time. New data from the Federal Motor Transport Authority shows that Germans registered 84,057 new electric vehicles in June, a more than 78% year-over-year increase. Traditional hybrids, meanwhile, saw 83,315 registrations, followed by gasoline-powered cars with 60,796, diesel with 33,862, and plug-in hybrids with 32,212. “The automotive history books will need a new page sooner rather than later, after electric cars outsold every other fuel type in Germany for the first time,” InsideEVs reporter Iulian Dnistran wrote. “It’s a huge shift in Europe’s biggest car market, which has traditionally been associated with diesel-powered cars that could travel hundreds of miles at highway speeds without breaking a sweat.” The Tesla Model Y was by far the best-selling EV in Germany, with nearly twice as many registrations as the No. 2 vehicle, the Volkswagen ID.3.
Putting on my Mesopotamian metal merchant hat again: Copper prices are back up. The price of the metal needed for virtually all electrical infrastructure rose 1.3% to just under $14,000 per metric ton, according to Mining.com. The price ultimately hovered at the red metal’s record set in early June. The spike stems from data showing rising tightness in the Chinese market, namely a hike in the premium buyers will pay in Shanghai for shipments of the metal. The price hiked further after a series of storms halted production in Chile for a few days.
While the West dithers on hydrogen, China is making huge strides. It already may be too late to catch up to Beijing on manufacturing the key machinery needed to produce the zero-carbon fuel. The latest data point, via Hydrogen Insight: China just shipped its largest electrolyzer order yet to Europe, via Romania.