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A counter-proposal for the country’s energy future.

American electricity consumption is growing for the first time in generations. And though low-carbon technologies such as solar and wind have scaled impressively over the past decade, many observers are concerned that all this new demand will provide “a lifeline for more fossil fuel production,” as Senator Martin Heinrich put it.
In response, a few policy entrepreneurs have proposed novel regulations known as “additionality” requirements to handle new sources of electric load. First suggested for electrolytic hydrogen, additionality standards would require that subsidized hydrogen producers source their electricity directly from newly built low-carbon power plants; in a Heatmap piece from September, Brian Deese and Lisa Hansmann proposed similar requirements for new artificial intelligence. And while AI data centers were their focus, the two argued that additionality “is a model that can be extended to address other sectors facing growing energy demand.”
There is some merit to additionality standards, particularly for commercial customers seeking to reduce their emissions profile. But we should be skeptical of writing these requirements into policy. Strict federal additionality regulations will dampen investment in new industries and electrification, reduce the efficiency of the electrical grid through the balkanization of supply and demand, and could become weapons as rotating government officials impose their views on which sources of demand or supply are eligible for the standards. The grid and the nation need a regulatory framework for energy abundance, not burdensome additionality rules.
After decades of end-use efficiency improvements, offshoring of manufacturing, and shifts toward less material-intensive economies, a confluence of emerging factors are pushing electricity demand back up again. For one, the nation is electrifying personal vehicles, home heating, and may do the same for industrial processes like steel production in the not-too-distant future, sparked by a combination of policy and commercial investment. Hydrogen, which has long been a marginal fuel, is attracting substantial interest. And technological innovation is leading to whole new sources of electric load — compute-hungry artificial intelligence being the most immediate example, but also large-scale critical minerals refining, indoor agriculture like alternative protein cultivation and aquaculture, and so on.
In recent years, clean energy has seemed to be on an unstoppable path toward dominating the power sector. Coal-fired generation has been in terminal decline in the United States as natural gas power plants and solar and wind farms have become more competitive. Flexible gas generation, likewise, is increasingly crowded out by renewables when the wind is blowing and the sun shining. These trends persisted in the context of stable electricity load. But even as deployment accelerates, low-carbon electricity supply may not be able to keep up with the surprisingly robust growth in demand. The most obvious — though not the exclusive — way for utilities and large corporates to meet that demand is often with new or existing natural gas capacity. Even a few coal plants have delayed retirement, reportedly in response to rising demand and reliability concerns.
Given the durable competitiveness of coal and especially natural gas, some form of additionality requirement might make sense for hydrogen production in particular, since hydrogen is not just a nascent form of electric load but a novel fuel in its own right. Simply installing an electrolyzer at an existing coal or natural gas plant could produce hydrogen that, from a lifecycle perspective, would result in higher carbon emissions, even if it displaces fossil fuels like gas or oil in final consumption. Even so, many experts caution that overly strict additionality standards for hydrogen at this stage are overkill, and may smother the industry in its crib.
Likewise, large corporate entities and electricity customers adopting additionality requirements for their own operations can bolster investment in so-called “clean firm” generation like nuclear, geothermal, and fossil fuels with carbon capture. In just the past month, Google announced plans to back the construction of new small nuclear reactors, and Microsoft announced plans to purchase electricity for new data centers from the shuttered Three Mile Island power plant, the plant made famous by the 1979 meltdown but which only closed down in 2019. Three Mile Island’s $100-per-megawatt-hour price tag would have been unthinkable just a few years ago but is newly attractive.
Notice the problem Microsoft is trying to solve here: a lack of abundant, reliable electricity generation. Outdated technology licensing, onerous environmental permitting processes, and other regulatory barriers are obstructing the deployment of renewables, advanced nuclear energy, new enhanced geothermal technologies, and low-carbon sources. Additionality fixes none of these issues. Of course, Deese and Hansmann propose “a dedicated fast-track approval process” for verifiably additional low-carbon generation supplying new sources of AI load. Yet this should be the central effort, not the after-the-fact add-on. The back and forth over additionality rules for the clean hydrogen tax credit is a case in point. The rules for the tax credit will (likely) be finalized by January, but lawsuits already loom over them. Expanding this contentious additionality requirement to apply to broad use cases will be even more contentious without solving the actual shortage data center companies care about. Conversations about additionality are a distraction and misplace the energies of policymakers and staff.
Substituting one regulatory thicket for another is a recipe for stasis. Instead of adding more red tape, we should be working to cut through it, fast-tracking the energy transition and fostering abundance.
With such broad requirements, what’s to stop future administrations from expanding them to cover electric vehicle charging, electric arc furnace steelmaking, alternative protein production, or any politically disfavored source of new demand? Could a second Trump Administration use additionality to punish political enemies in the tech industry? Could a Harris Administration do the same? What if a future administration maintained additionality standards for new sources of load, but required that the electricity come from fossil fuels instead of low-carbon sources?
Zero-sum regulatory contracts between sources of electricity supply and demand are not simply at risk of becoming a tool for handing out favors on a partisan basis — they already are one. Two pieces of model legislation proposed at the July meeting of the American Legislative Exchange Council, an organization of conservative state legislators that collaborate to write off-the-shelf legislative measures, would require public utility commissions to prioritize dispatchable generation and formally discourage intermittent renewable sources like solar and wind. One of the proposals suggests leaning on state attorneys general to extend the lifespans of coal plants threatened with retirement.
These proposals did not move forward this year, but it is unlikely that the motivating force behind them is exhausted. And whatever one thinks of the relative merits of intermittent versus firm generation, ALEC’s proposals demonstrate just how easily gamed regulations like additionality could be and the risks of relying on administrative discretion instead of universal, pragmatic rules.
This is not how the electric grid is supposed to work. The grid is, if not an according-to-Hoyle public good, a shared public resource, providing essential services to customers large and small. Homeowners don’t have to sign additionality contracts with suppliers when they buy an electric car or replace their gas furnace with an electric heat pump. Everyone understands that such requirements would slow the pace of electrification and investment in new industries. The same holds for corporate customers and novel sources of load.
The real problem facing the AI, hydrogen, nuclear, geothermal, and renewables industries is an inability to build. There are more than enough clean generators queueing to enter the system — 2.6 terawatts at last count, according to the Lawrence Berkeley National Laboratory. The unfortunate reality, however, is that just one in five of these projects will make it through — and those represent just 14% of the capacity waiting to connect. Still, this totals about 360 gigawatts of new energy generation over the next few years, much more than the predicted demand from AI data centers. Obstacles to technology licensing, permitting, interconnection, and transmission are the key bottlenecks here.
Would foregoing additionality requirements and loosening regulatory strictures on technology licensing and permitting increase the commercial viability of new or existing fossil fuel capacity, as Deese and Hansmann warn? Perhaps, on some margin. But for the foreseeable future, the energy projects and infrastructure most burdened by regulatory requirements will be low-carbon ones. Batteries, solar, and wind projects make up more than 80% of the queue added in 2023. Meanwhile, oil and gas benefit from categorical exclusions under the National Environmental Policy Act, while low-carbon technologies are subject to stricter standards (although three permitting bills recently passed the House, including one that waives these requirements for new geothermal projects).
Consider that 40% of projects supported by the Inflation Reduction Act are caught up in delays. That is $84 billion of economic activity just waiting for the paperwork to be figured out, according to the Financial Times. Additionality requirements are additional boxes to check that almost necessarily imply additional delays. Permitting reform makes them redundant and unnecessary for a cleaner future.
This underscores perhaps the most essential conflict between strict additionality requirements and clean energy abundance. Ensuring that every new policy and every new source of demand allows for absolutely zero additional fossil fuel consumption or emissions will prove counterproductive to global decarbonization in the long run. Natural gas is still reducing emissions on the margin in the United States. Over the past decade, in years with higher natural gas prices, coal generation has ticked up, indicating that the so-called “natural gas bridge” has not yet reached its terminus. Even aggressive decarbonization scenarios now expect a substantial role for natural gas over the coming decades. And in the long term, natural gas plants may prove wholly compatible with abundant, low-carbon electricity systems if next-generation carbon capture technologies prove scalable.
The United States is the world’s energy technology R&D and demonstration laboratory. If policies to prune marginal fossil fuel consumption here stall domestic investment and scaling of low-carbon technologies — as current permitting regulations already do, and proposed additionality requirements would do — then we will not only slow U.S. decarbonization, but also inhibit our ability to export affordable and scalable low-carbon technologies abroad.
Environmental progress’s surest path is in speeding up. For that to happen, we need processes that allow for rapid deployment of clean energy solutions. Expediting technology licensing, fast-tracking federal infrastructure permitting, and finding opportunities for quicker and more rational interconnections should be first and foremost.
The real solution lies in building a regulatory environment where energy abundance can flourish. Clearing the path for clean energy development, we can achieve a future where energy is affordable, reliable, and abundant—a future where the United States leads in both decarbonization and economic growth. It’s time to stop adding barriers and start speeding up progress.
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The startup — founded by the former head of Tesla Energy — is trying to solve a fundamental coordination problem on the grid.
The concept of virtual power plants has been kicking around for decades. Coordinating a network of distributed energy resources — think solar panels, batteries, and smart appliances — to operate like a single power plant upends our notion of what grid-scale electricity generation can look like, not to mention the role individual consumers can play. But the idea only began taking slow, stuttering steps from theory to practice once homeowners started pairing rooftop solar with home batteries in the past decade.
Now, enthusiasm is accelerating as extreme weather, electricity load growth, and increased renewables penetration are straining the grid and interconnection queue. And the money is starting to pour in. Today, home battery manufacturer and VPP software company Lunar Energy announced $232 million in new funding — a $102 million Series D round, plus a previously unannounced $130 million Series C — to help deploy its integrated hardware and software systems across the U.S.
The company’s CEO, Kunal Girotra, founded Lunar Energy in the summer of 2020 after leaving his job as head of Tesla Energy, which makes the Tesla Powerwall battery for homeowners and the Megapack for grid-scale storage. As he put it, back then, “everybody was focused on either building the next best electric car or solving problems for the grid at a centralized level.” But he was more interested in what was happening with households as home battery costs were declining. “The vision was, how can we get every home a battery system and with smart software, optimize that for dual benefit for the consumer as well as the grid?”
VPPs work by linking together lots of small energy resources. Most commonly, this includes solar, home batteries, and appliances that can be programmed to adjust their energy usage based on grid conditions. These disparate resources work in concert conducted by software that coordinates when they should charge, discharge, or ramp down their electricity use based on grid needs and electricity prices. So if a network of home batteries all dispatched energy to the grid at once, that would have the same effect as firing up a fossil fuel power plant — just much cleaner.
Lunar’s artificial intelligence-enabled home energy system analyzes customers’ energy use patterns alongside grid and weather conditions. That allows Lunar’s battery to automatically charge and discharge at the most cost-effective times while retaining an adequate supply of backup power. The batteries, which started shipping in California last year, also come integrated with the company’s Gridshare software. Used by energy companies and utilities, Gridshare already manages all of Sunrun’s VPPs, including nearly 130,000 home batteries — most from non-Lunar manufacturers — that can dispatch energy when the grid needs it most.
This accords with Lunar’s broader philosophy, Girotra explained — that its batteries should be interoperable with all grid software, and its Gridshare platform interoperable with all batteries, whether they’re made by Lunar or not. “That’s another differentiator from Tesla or Enphase, who are creating these walled gardens,” he told me. “We believe an Android-like software strategy is necessary for the grid to really prosper.” That should make it easier for utilities to support VPPs in an environment where there are more and more differentiated home batteries and software systems out there.
And yet the real-world impact of VPPs remains limited today. That’s partially due to the main problem Lunar is trying to solve — the technical complexity of coordinating thousands of household-level systems. But there are also regulatory barriers and entrenched utility business models to contend with, since the grid simply wasn’t set up for households to be energy providers as well as consumers.
Girotra is well-versed in the difficulties of this space. When he first started at Tesla a decade ago, he helped kick off what’s widely considered to be the country’s first VPP with Green Mountain Power in Vermont. The forward-looking utility was keen to provide customers with utility-owned Tesla Powerwalls, networking them together to lower peak system demand. But larger VPPs that utilize customer-owned assets and seek to sell energy from residential batteries into wholesale electricity markets — as Lunar wants to do — are a different beast entirely.
Girotra thinks their time has come. “This year and the next five years are going to be big for VPPs,” he told me. The tide started to turn in California last summer, he said, after a successful test of the state’s VPP capacity had over 100,000 residential batteries dispatching more than 500 megawatts of power to the grid for two hours — enough to power about half of San Francisco. This led to a significant reduction in electricity demand during the state’s evening peak, with the VPP behaving just like a traditional power plant.
Armed with this demonstration of potential and its recent influx of cash, Lunar aims to scale its battery fleet, growing from about 2,000 deployed systems today to about 10,000 by year’s end, and “at least doubling” every year after that. Ultimately, the company aims to leverage the popularity of its Gridshare platform to become a market maker, helping to shape the structure of VPP programs — as it’s already doing with the Community Choice Aggregators that it’s partnered with so far in California.
In the meantime, Girotra said Lunar is also involved in lobbying efforts to push state governments and utilities to make it easier for VPPs to participate in the market. “VPPs were always like nuclear fusion, always for the future,” he told me. But especially after last year’s demonstration, he thinks the entire grid ecosystem, from system operators to regulators, are starting to realize that the technology is here today. ”This is not small potatoes anymore.”
If all the snow and ice over the past week has you fed up, you might consider moving to San Francisco, Los Angeles, Phoenix, Austin, or Atlanta. These five cities receive little to no measurable snow in a given year; subtropical Atlanta technically gets the most — maybe a couple of inches per winter, though often none. Even this weekend’s bomb cyclone, which dumped 7 inches across parts of northeastern Georgia, left the Atlanta suburbs with too little accumulation even to make a snowman.
San Francisco and the aforementioned Sun Belt cities are also the five pilot locations of the all-electric autonomous-vehicle company Waymo. That’s no coincidence. “There is no commercial [automated driving] service operating in winter conditions or freezing rain,” Steven Waslander, a University of Toronto robotics professor who leads WinTOR, a research program aimed at extending the seasonality of self-driving cars, told me. “We don’t have it completely solved.”
Snow and freezing rain, in particular, are among the most hazardous driving conditions, and 70% of the U.S. population lives in areas that experience such conditions in winter. But for the same reasons snow and ice are difficult for human drivers — reduced visibility, poor traction, and a greater need to react quickly and instinctively in anticipation of something like black ice or a fishtailing vehicle in an adjacent lane — they’re difficult for machines to manage, too.
The technology that enables self-driving cars to “see” the road and anticipate hazards ahead comes in three varieties. Tesla Autopilot uses cameras, which Tesla CEO Elon Musk has lauded for operating naturally, like a human driver’s eye — but they have the same limitations as a human eye when conditions deteriorate, too.
Lidar, used by Waymo and, soon, Rivian, deploys pulses of light that bounce off objects and return to sensors to create 3D images of the surrounding environment. Lidar struggles in snowy conditions because the sensors also absorb airborne particles, including moisture and flakes. (Not to mention, lidar is up to 32 times more expensive than Tesla’s comparatively simple, inexpensive cameras.) Radar, the third option, isn’t affected by darkness, snow, fog, or rain, using long radio wavelengths that essentially bend around water droplets in the air. But it also has the worst resolution of the bunch — it’s good at detecting cars, but not smaller objects, such as blown tire debris — and typically needs to be used alongside another sensor, like lidar, as it is on Waymo cars.
Driving in the snow is still “definitely out of the domain of the current robotaxis from Waymo or Baidu, and the long-haul trucks are not testing those conditions yet at all,” Waslander said. “But our research has shown that a lot of the winter conditions are reasonably manageable.”
To boot, Waymo is now testing its vehicles in Tokyo and London, with Denver, Colorado, set to become the first true “winter city” for the company. Waymo also has ambitions to expand into New York City, which received nearly 12 inches of snow last week during Winter Storm Fern.
But while scientists are still divided on whether climate change is increasing instances of polar vortices — which push extremely cold Arctic air down into the warmer, moister air over the U.S., resulting in heavy snowfall — we do know that as the planet warms, places that used to freeze solid all winter will go through freeze-thaw-refreeze cycles that make driving more dangerous. Freezing rain, which requires both warm and cold air to form, could also increase in frequency. Variability also means that autonomous vehicles will need to navigate these conditions even in presumed-mild climates such as Georgia.
Snow and ice throw a couple of wrenches at autonomous vehicles. Cars need to be taught how to brake or slow down on slush, soft snow, packed snow, melting snow, ice — every variation of winter road condition. Other drivers and pedestrians also behave differently in snow than in clear weather, which machine learning models must incorporate. The car itself will also behave differently, with traction changing at critical moments, such as when approaching an intersection or crosswalk.
Expanding the datasets (or “experience”) of autonomous vehicles will help solve the problem on the technological side. But reduced sensor accuracy remains a big concern — because you can only react to hazards you can identify in the first place. A crust of ice over a camera or lidar sensor can prevent the equipment from working properly, which is a scary thought when no one’s in the driver’s seat.
As Waslander alluded to, there are a few obvious coping mechanisms for robotaxi and autonomous vehicle makers: You can defrost, thaw, wipe, or apply a coating to a sensor to keep it clear. Or you can choose something altogether different.
Recently, a fourth kind of sensor has entered the market. At CES in January, the company Teradar demonstrated its Summit sensor, which operates in the terahertz band of the electromagnetic spectrum, a “Goldilocks” zone between the visible light used by cameras and the human eye and radar. “We have all the advantages of radar combined with all the advantages of lidar or camera,” Gunnar Juergens, the SVP of product at Teradar, told me. “It means we get into very high resolution, and we have a very high robustness against any weather influence.”
The company, which raised $150 million in a Series B funding round last year, says it is in talks with top U.S. and European automakers, with the goal of making it onto a 2028 model vehicle; Juergens also told me the company imagines possible applications in the defense, agriculture, and health-care spaces. Waslander hadn’t heard of Teradar before I told him about it, but called the technology a “super neat idea” that could prove to be a “really useful sensor” if it is indeed able to capture the advantages of both radar and lidar. “You could imagine replacing both with one unit,” he said.
Still, radar and lidar are well-established technologies with decades of development behind them, and “there’s a reason” automakers rely on them, Waslander told me. Using the terahertz band, “there’s got to be some trade-offs,” he speculated, such as lower measurement accuracy or higher absorption rates. In other words, while Teradar boasts the upsides of both radar and lidar, it may come with some of their downsides, too.
Another point in Teradar’s favor is that it doesn’t use a lens at all — there’s nothing to fog, freeze, or salt over. The sensor could help address a fundamental assumption of autonomy — as Juergen put it, “if you transfer responsibility from the human to a machine, it must be better than a human.” There are “very good solutions on the road,” he went on. “The question is, can they handle every weather or every use case? And the answer is no, they cannot.” Until sensors can demonstrate matching or exceeding human performance in snowy conditions — whether through a combination of lidar, cameras, and radar, or through a new technology such as Teradar’s Summit sensor — this will remain true.
If driving in winter weather can eventually be automated at scale, it could theoretically save thousands of lives. Until then, you might still consider using that empty parking lot nearby to brush up on your brake pumping.
Otherwise, there’s always Phoenix; I’ve heard it’s pleasant this time of year.
Current conditions: After a brief reprieve of temperatures hovering around freezing, the Northeast is bracing for a return to Arctic air and potential snow squalls at the end of the week • Cyclone Fytia’s death toll more than doubled to seven people in Madagascar as flooding continues • Temperatures in Mongolia are plunging below 0 degrees Fahrenheit for the rest of the workweek.
Secretary of the Interior Doug Burgum suggested the Supreme Court could step in to overturn the Trump administration’s unbroken string of losses in all five cases where offshore wind developers challenged its attempts to halt construction on turbines. “I believe President Trump wants to kill the wind industry in America,” Fox Business News host Stuart Varney asked during Burgum’s appearance on Tuesday morning. “How are you going to do that when the courts are blocking it?” Burgum dismissed the rulings by what he called “court judges” who “were all at the district level,” and said “there’s always the possibility to keep moving that up through the chain.” Burgum — who, as my colleague Robinson Meyer noted last month, has been thrust into an ideological crisis over Trump’s actions toward Greenland — went on to reiterate the claims made in a Department of Defense report in December that sought to justify the halt to all construction on offshore turbines on the grounds that their operation could “create radar interference that could represent a tremendous threat off our highly populated northeast coast.” The issue isn’t new. The Obama administration put together a task force in 2011 to examine the problem of “radar clutter” from wind turbines. The Department of Energy found that there were ways to mitigate the issue, and promoted the development of next-generation radar that could see past turbines.
The Trump administration, meanwhile, is facing accusations of violating the Constitution with its orders to keep coal-fired power stations operating past planned retirement. By mandating their coal plants stay open, two electrical cooperatives in Colorado said the Energy Department’s directive “constitutes both a physical taking and a regulatory taking” of property by the government without just compensation or due process, Utility Dive reported.
Back in December, the promise of a bipartisan deal on permitting reform seemed possible as the SPEED Act came up for a vote in the House. At the last minute, however, far-right Republicans and opponents of offshore wind leveraged their votes to win an amendment specifically allowing President Donald Trump to continue his attempts to kill off the projects to build turbines off the Eastern Seaboard. With key Democrats in the Senate telling Heatmap’s Jael Holzman that their support hinged on legislation that did the opposite of that, the SPEED Act stalled out. Now a new bipartisan bill aims to rectify what went wrong. The FREEDOM Act — an acronym for “Fighting for Reliable Energy and Ending Doubt for Open Markets” — would prevent a Republican administration from yanking permits from offshore wind or a Democratic one from going after already-licensed oil and gas projects, while setting new deadlines for agencies to speed up application reviews. I got an advanced copy of the bill Monday night, so you can read the full piece on it here on Heatmap.
One element I didn’t touch on in my story is what the legislation would do for geothermal. Next-generation geothermal giant Fervo Energy pulled off its breakthrough in using fracking technology to harness the Earth’s heat in more places than ever before just after the Biden administration completed work on its landmark clean energy bills. As a result, geothermal lost out on key policy boosts that, for example, the next-generation nuclear industry received. The FREEDOM Act would require the government to hold twice as many lease sales on federal lands for geothermal projects. It would also extend the regulatory shortcuts the oil and gas industry enjoys to geothermal companies.
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Take a look at the above chart. In the United States, new gas power plants are surging to meet soaring electricity demand. At last count, two thirds of projects currently underway haven’t publicly identified which manufacturer is making their gas turbines. With the backlog for turbines now stretching to the end of the decade, Siemens Energy wants to grow its share of booming demand. The German company, which already boasts the second-largest order book in the U.S. market, is investing $1 billion to produce more turbines and grid equipment. “The models need to be trained,” Christian Bruch, the chief executive of Siemens Energy, told The New York Times. “The electricity need is going to be there.”
While most of the spending is set to go through existing plants in Florida and North Carolina, Siemens Energy plans to build a new factory in Mississippi to produce electric switchgear, the equipment that manages power flows on the grid. It’s hardly alone. In September, Mitsubishi announced plans to double its manufacturing capacity for gas turbines over the next two years. After the announcement, the Japanese company’s share price surged. Until then, investors’ willingness to fund manufacturing expansions seemed limited. As Heatmap’s Matthew Zeitlin put it, “Wall Street has been happy to see developers get in line for whatever turbines can be made from the industry’s existing facilities. But what happens when the pressure to build doesn’t come from customers but from competitors?” Siemens just gave its answer.
At his annual budget address in Harrisburg, Pennsylvania Governor Josh Shapiro touted Amazon’s plans to invest $20 billion into building two data center campuses in his state. But he said it’s time for the state to become “selective about the projects that get built here.” To narrow the criteria, he said developers “must bring their own power generation online or fully fund new generation to meet their needs — without driving up costs for homeowners or businesses.” He insisted that data centers conserve more water. “I know Pennsylvanians have real concerns about these data centers and the impact they could have on our communities, our utility bills, and our environment,” he said, according to WHYY. “And so do I.” The Democrat, who is running for reelection, also called on utilities to find ways to slash electricity rates by 20%.
For the first time, every vehicle on Consumer Reports’ list of top picks for the year is a hybrid (or available as one) or an electric vehicle. The magazine cautioned that its endorsement extended to every version of the winning vehicles in each category. “For example, our pick of the Honda Civic means we think the gas-only Civic, the hybrid, and the sporty Si are all excellent. But for some models, we emphasize the version that we think will work best for most people.” But the publication said “the hybrid option is often quieter and more refined at speed, and its improved fuel efficiency usually saves you money in the long term.”
Elon Musk wants to put data centers in space. In an application to the Federal Communications Commission, SpaceX laid out plans to launch a constellation of a million solar-powered data centers to ease the strain the artificial intelligence boom is placing on the Earth’s grids. Each data center, according to E&E News, would be 31 miles long and operate more than 310 miles above the planet’s surface. “By harnessing the Sun’s abundant, clean energy in orbit — cutting emissions, minimizing land disruption, and reducing the overall environmental costs of grid expansion — SpaceX’s proposed system will enable sustainable AI advancement,” the company said in the filing.