At an AI and fossil fuel lovefest in Pittsburgh, Pennsylvania last week, President Donald Trump — flanked by cabinet members and executives from major tech and energy giants like Google and ExxonMobil — said that “the most important man of the day” was Environmental Protection Agency head Lee Zeldin. “He’s gonna get you a permit for the largest electric producing plant in the world in about a week, would you say?” Trump said to chuckles in the audience. Later that week, the Trump administration exempted coal-fired power plants, facilities that make chemicals for semiconductor manufacturing, and certain other industrial sites from Biden-era air pollution regulations.
If Trump has his way, the next generation of data centers will run dirtier than the last. It isn’t enough to kill renewables and pave the way for more coal and gas plants to power energy-hungry AI data centers. Trump is also obsessed with tossing out environmental protections.
“It costs much more to do things environmentally clean,” Trump claimed in an interview with Joe Rogan in October 2024. Upon his appointment to head the EPA (or, rather, run it into the ground), Zeldin said that he would be focused on “unleash[ing] US energy dominance” and “mak[ing] America the AI capital of the world.” The EPA announced thousands of layoffs on on July 18th, gutting its research and development arm.
“It costs much more to do things environmentally clean.”
At the Pennsylvania Energy and Innovation Summit, Trump attempted to take credit for private investments totaling around $36 billion for data center projects and $56 million for new energy infrastructure. The ceremony itself was mostly pomp and circumstance, but it’s telling that the Trump administration says it wants to make Pennsylvania a new hub for AI data centers. It’s a swing state that Republicans are eager to move into their column, but it’s also a major coal and gas producer. Sitting atop a major gas reserve, fracking in Pennsylvania (as well as Texas) helped usher in the “shale revolution” in the 2000s that made the US the world’s leading gas producer.
That was supposed to start changing under former President Joe Biden’s direction. He set a goal for the US to get all its electricity from carbon pollution-free sources by 2035. And in 2022, he signed the Inflation Reduction Act, which was full of tax incentives to make it cheaper to build out new solar and wind farms, as well as other carbon-free energy sources. If it had stayed intact, the law was expected to reduce US greenhouse gas emissions by around 40 percent this decade.
The law came at a crucial time for tech companies, which were expanding data centers as the AI arms race picked up steam. Electricity demand in the US is rising for the first time in more than a decade, thanks in large part to energy-hungry data centers. Google, Amazon, Microsoft, Meta, and other tech giants all have their own climate goals, pledging to shrink their carbon footprints by supporting renewable energy projects.
But Trump is making it harder to build those projects in the US. Republicans voted to wind down Biden-era tax incentives for solar and wind energy in the big spending bill they passed this month. The bill will likely decrease electricity generation capacity in 2035 by 340 GW, according to one analysis, with the vast majority of losses coming from solar and wind farms that will no longer get built.
All these new data centers still need to get their electricity from somewhere. “They won’t be powered by wind,” Trump said during the summit, repeating misleading talking points about renewable energy that have become a cornerstone of new climate denial. He signed an executive order in April, directing the Commerce, Energy, and Interior Departments to study “where coal-powered infrastructure is available and suitable for supporting AI data centers.” Trump, backed by fossil fuel donors, campaigned on a promise to “drill, baby, drill” — a slogan that he doubled down on again at the event. He also referenced the Homer City Generating Station, an old coal plant that’s reopening as a gas plant that will power a new data center.
The deals announced at the summit include Enbridge investing $1 billion to expand its gas pipelines into Pennsylvania and Equinor spending $1.6 billion to “boost natural gas production at Equinor’s Pennsylvania facilities and explore opportunities to link gas to flexible power generation for data centers.”
“They won’t be powered by wind.”
Data centers are a “main driver” for a boom in new gas pipelines and power plants in the Southeast, according to a January report from the Institute for Energy Economics and Financial Analysis (IEEFA). The Southeast is home to “data center alley,” a hub in Virginia through which around 70 percent of the world’s internet traffic flows through. Even if AI models become more efficient over time, the amount of electricity they’re currently projected to demand could lock communities across the US into prolonged reliance on fossil fuels as utilities build out new gas infrastructure.
Zeldin’s job now is essentially to remove any regulatory hurdles that might slow down that growth. From his first day in office, “it was clear that EPA would have a major hand in permitting reform to cut down barriers that have acted as a roadblock so we can bolster the growth of AI,” as Zeldin wrote in a Fox News op-ed last week. “A company looking to build an industrial facility or a power plant should be able to build what it can before obtaining an emissions permit,” he added. And after moving to roll back pollution regulations for power plants, the Trump administration is now reportedly working on a rule that would undo the 2009 “endangerment finding” that allows the EPA to regulate greenhouse gas emissions under the Clean Air Act.
Zeldin also writes that when it comes to Clean Air Act permits for polluters it considers “minor emitters,” the EPA will only meet “minimum requirements for public participation.” An AI Action Plan that the White House dropped on July 23rd proposes creating new categorical exclusions for data center-related projects from the National Environmental Policy Act (NEPA), a sunshine law that mandates input from local communities on major federal projects. The plan directs agencies to identify federal lands for the “large-scale development” of data centers and power generation.
There are other factors at play that could derail Trump’s fossil-fueled agenda, including a backlog for gas turbines in high demand. Solar and wind farms are still generally faster to build and a more affordable source of new electricity than coal or gas, and we could see some developers rush to complete projects before Biden-era tax credits fully disappear. One early bright spot for renewables was the fact that data centers used to train AI are theoretically easier to build close to far-flung wind and solar projects. Unlike other data centers, they don’t need to be built near population centers to reduce latency. They could also theoretically time their operations to match the ebb and flow of electricity generation when the sun shines and winds blow.
But so far, things are shaping up differently in the real world. “It’s just a race to get connected as quickly as possible,” says Nathalie Limandibhratha, senior associate US power at BloombergNEF.
Data center developers are also concerned that if they build facilities specifically to train AI closer to renewable energy, they could be left with stranded assets down the road. They’d rather keep building data centers close to population centers where they can repurpose the facility for other uses if needed. They also get more bang for their buck running 24/7, so data centers are leaning toward around-the-clock electricity generation from gas and nuclear energy (and nuclear energy has more bipartisan support than other sources of carbon-free energy).
“There’s no question right now that AI is driving greater fossil fuel use in the United States and really setting us back in terms of climate change,” says Cathy Kunkel, an energy consultant at IEEFA. Tech giants Google and Amazon made announcements coinciding with the Pennsylvania summit committing to purchasing hydropower and nuclear energy, respectively. But their most recent sustainability reports show that their greenhouse gas pollution is still growing, taking them further away from their climate goals of reaching net zero emissions.
“If [tech companies] wanted to meet their sustainability goals, they could do so,” Kunkel says. “They’re getting a free pass, obviously, from the Trump administration.”
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![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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