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An Amazon Web Services data center is shown situated near single-family homes on July 17, 2024 in Stone Ridge, Virginia
An Amazon Web Services data center in Stone Ridge, Virginia (Nathan Howard/Getty Images)
power hungry

AI data centers are devouring our energy and propping up fossil fuels

A new report finds the explosive growth of AI data centers is consuming a disproportionate amount of our energy generation.

Jon Keegan
1/23/25 1:12PM

The rush to build ever-larger, power-hungry data centers is a drag on America’s progress toward clean energy. And there’s no sign of things slowing down.

Earlier this month, Amazon announced it will be investing $11 billion to build out AI data centers in Georgia, and Microsoft announced it will be spending $80 billion on data centers around the world in FY 2025.

A new report from think tank Frontier Group, public research group US PIRG, and Environment America details this massive power consumption by the data centers leading the AI revolution and cryptocurrency.

The report highlights some startling data that illustrates the massive gap between power supply and demand.

Insatiable demand

In the states where tech giants have been pouring billions of dollars to rapidly build computing infrastructure for AI, the data centers are devouring huge percentages of each state’s power generation.

Virginia, which is home to a huge number of data centers, expended more than a quarter of the state’s total electricity generation to such data centers in 2023. For comparison, in 14 other states, less than 1% of the state electricity generated went to data centers, according to the report.

Another issue highlighted by the report is the huge variance in estimates for future power consumption forecasts. Analysts’ forecasts for growth of electricity demand from 2023 to 2030 varied between 29% to 166%, leaving states with no easy way to ensure enough supply.

Prolonging the use of fossil fuels

The study identified at least 17 fossil-fuel-fired power plants in five states that have moved to delay their phaseouts due to surging demand from data centers. The report identified new fossil fuel plants being planned to help meet demand with at least 10,808 MW of power, all which slow the country’s progress toward transitioning to renewable energy generation.

The report examined the impact on communities adjacent to these supersized data centers and found many significant impacts. The massive use of community water supply, noise pollution, and soaring energy price increases that get passed on to consumers were just some of the impacts.

Negligible societal benefits

The authors included several recommendations to address the concerns raised in the study. Among the recommendations is greater transparency from the tech companies that build these data centers, to better understand energy and water use by the facilities. Other suggestions include requiring new data centers to include on-site renewable energy sources, eliminating public subsidies for data centers, and a deprioritization of computing resources that produce “negligible societal benefits.”

President Trump’s executive order this week titled “Unleashing American Energy” doesn’t contain much to indicate that any of these recommendations will be implemented at a federal level, at least. The administration has made clear that it seeks to streamline the permitting and approvals to generate significantly more cheap energy to power the large AI infrastructure projects its supporting, such as the new $500 billion “Project Stargate” joint venture between Oracle, OpenAI, SoftBank, and its partner Nvidia.

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BofA doesn't expect Tesla's ride-share service to have an impact on Uber or Lyft this year

Analysts at Bank of America Global Research compared Tesla’s new Bay Area ride-sharing service with its rivals and found that, for now, it's not much competition for Uber and Lyft. “Tesla scale in SF is still small, and we don't expect impact on Uber/Lyft financial performance in '25,” they wrote.

Tesla is operating an unknown number of cars with drivers using supervised full-self driving in the Bay Area, and roughly 30 autonomous robotaxis in Austin. The company has allowed the public to download its Robotaxi app and join a waitlist but it hasn’t said how many people have been let in off that waitlist.

While the analysts found that Tesla ride shares are cheaper than traditional ride-share services like Uber and Lyft, the wait times are a lot longer (9 minute wait times on average, when cars were available at all) and the process has more friction. They also said the “nature of [a] Tesla FSD ‘driver’ is slightly more aggressive than a Waymo,” the Google-owned company that’s currently operating 800 vehicles in the Bay Area.

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Oracle’s massive sales backlog is thanks to a $300 billion deal with OpenAI, WSJ reports

OpenAI has signed a massive deal to purchase $300 billion worth of cloud computing capacity from Oracle, according to a report from The Wall Street Journal.

The report notes that the five-year deal would be one of the largest cloud computing contracts ever signed, requiring 4.5 gigawatts of capacity.

The news is prompting shares to pare some of their massive gains, presumably because of concerns about counterparty and concentration risk.

Yesterday, Oracle shares skyrocketed as much as 30% in after-hours trading after the company forecast that it expects its cloud infrastructure business to see revenues climb to $144 billion by 2030.

Oracle shares were up as much as 43% on Wednesday.

It’s the second example in under a week of how much OpenAI’s cash burn and fundraising efforts are playing a starring role in the AI boom: the Financial Times reported that OpenAI is also the major new Broadcom customer that has placed $10 billion in orders.

Yesterday, Oracle shares skyrocketed as much as 30% in after-hours trading after the company forecast that it expects its cloud infrastructure business to see revenues climb to $144 billion by 2030.

Oracle shares were up as much as 43% on Wednesday.

It’s the second example in under a week of how much OpenAI’s cash burn and fundraising efforts are playing a starring role in the AI boom: the Financial Times reported that OpenAI is also the major new Broadcom customer that has placed $10 billion in orders.

Large companies have started to drop AI from their businesses

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AI appears to be everywhere, but that doesn’t mean big companies have fully embraced the use of the technology in their day-to-day business.

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Report: Microsoft adds Anthropic alongside OpenAI in Office 365, citing better performance

In a move that could test its fraught $13 billion partnership, Microsoft is moving away from relying solely on OpenAI to power its AI features in Office 365 and will now also include Anthropic’s Claude Sonnet 4 model, according to a report from The Information.

The move is a tectonic shift that boosts Anthropic’s standing, heightens risks for OpenAI, and has huge ramifications for the balance of power in the fast-moving AI field.

Per the report, Microsoft executives found that Anthropic’s AI outperformed OpenAI’s on tasks involving spreadsheets and generating PowerPoint slide decks, both crucial parts of Microsoft’s Office 365 productivity suite.

Microsoft will have to pay the competition to provide the services —Amazon Web Services currently hosts Anthropic’s models while Microsoft’s Azure cloud service does not, The Information reported.

OpenAI is also reportedly working on its own productivity suite of apps.

The move is a tectonic shift that boosts Anthropic’s standing, heightens risks for OpenAI, and has huge ramifications for the balance of power in the fast-moving AI field.

Per the report, Microsoft executives found that Anthropic’s AI outperformed OpenAI’s on tasks involving spreadsheets and generating PowerPoint slide decks, both crucial parts of Microsoft’s Office 365 productivity suite.

Microsoft will have to pay the competition to provide the services —Amazon Web Services currently hosts Anthropic’s models while Microsoft’s Azure cloud service does not, The Information reported.

OpenAI is also reportedly working on its own productivity suite of apps.

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