Elizabeth Warren proposes AI tax on data centers as electricity costs climb nationwide

Elizabeth Warren wants to tax AI data centers as power bills climb

Serving tech enthusiasts for over 25 years. TechSpot means tech analysis and advice you can trust. Bottom line: A growing share of the artificial intelligence economy is being built not just on algorithms, but on physical infrastructure - massive data centers, energy-intensive compute, and capital that is increasingly concentrated among a small group of companies. Sen. Elizabeth Warren wants to tax that foundation. In a Time magazine op-ed published Wednesday, the Massachusetts Democrat argued that the economic gains tied to AI are not being broadly shared. Instead, she said, they are flowing to a narrow set of firms and executives while ordinary consumers face rising costs linked to the technology's expansion. "Building an economy that works for all of us will require multiple policy responses. But it starts by acknowledging: it's time to tax AI and invest in people," Warren wrote. Her proposal centers on taxing AI companies directly, with a particular focus on the large data centers that power their systems. These facilities consume large amounts of energy, a key reason Warren wants to target them with a new tax. Warren's approach would scale taxes based on that footprint, writing that "the bigger the data center, the more they pay." Training advanced AI models and supporting inference at scale require substantial consumption, which has begun to place pressure on local power grids in some regions. Warren proposed an excise tax tied to that usage, arguing it could help offset costs that are increasingly reflected in consumer utility bills. She said families should be able to recover some of those expenses as electricity prices "skyrocket." The proposal reflects a shift in how policymakers are thinking about AI. In Warren's view, that means looking directly at AI data centers and the energy they consume, not just at how AI systems behave. Those factors are becoming harder to separate from broader questions about who benefits from AI's growth. Warren tied that growth to widening disparities in wealth and employment. She pointed to the rise of new tech billionaires and job losses in some sectors, while reiterating her support for a federal wealth tax. In the same argument, she named industry leaders such as OpenAI CEO Sam Altman and Amazon founder Jeff Bezos. "Taxing AI is one way we make sure the winnings from AI benefit all Americans, rather than channeling them only to the wealthy few," she wrote. Her proposal arrives at a time when Congress has struggled to move forward on comprehensive AI legislation. Disagreements within and between parties have slowed efforts to establish rules around the technology, leaving taxation largely unaddressed. At the same time, public and expert opinion on AI continues to diverge. Stanford University's 2026 AI Index Report found a significant gap between how researchers and the general public view AI's impact, along with a slight increase in public concern about its risks. That disconnect could make it harder to build political support for new AI-related taxes. Warren also criticized the current tax structure, saying it favors buying equipment over hiring people. She pointed to existing tax breaks for technology investments, calling them "effectively a tax penalty for hiring human beings and a tax break for buying equipment." Some in the tech industry have proposed alternative approaches. Altman, for example, recently suggested creating a public wealth fund that would give citizens a financial stake in AI-driven growth, regardless of their position in traditional markets. He has also backed the idea of taxes linked to automated labor, particularly as AI threatens to erode the tax base that supports programs like Social Security and Medicaid. Warren did not go into detail on more expansive versions of AI taxation, though she acknowledged that additional ideas - ones that "sound radical today" - may eventually be part of the conversation. For now, her focus is narrower: aligning tax policy with the physical and economic realities of AI systems, especially the infrastructure that makes them possible.

Elizabeth Warren: Tax AI companies to benefit all Americans

Why it matters: Warren's tax proposal is the latest progressive response to a technology that is increasingly unpopular. Driving the news: Warren argues in a Wednesday Time op-ed that the current tax code penalizes hiring people through payroll taxes while subsidizing investments in technology. * "That's wrong. We need to level the playing field by raising taxes on corporations and capital gains and closing corporate loopholes," she wrote. * Warren proposes imposing a wealth tax on billionaires like Jeff Bezos and Sam Altman and a "reasonable" excise tax on data center energy usage. The big picture: Warren says that the government should tax AI companies and data centers to help protect workers from potential job losses and fund programs such as universal health care, free education and stronger unemployment insurance. "We can't be afraid to consider even bigger and bolder proposals to tax AI too, including ideas that sound radical today but may quickly become common sense," Warren wrote.

Warren proposes taxing AI companies so 'winnings' 'benefit all Americans'

Sen. Elizabeth Warren (D-Mass.) is calling for an overhaul of the U.S. tax code to taxing artificial intelligence companies, arguing the gains from AI should "benefit all Americans." "Building an economy that works for all of us will require multiple policy responses. But it starts by acknowledging: it's time to tax AI and invest in people," Warren wrote in an op-ed published in TIME Magazine Wednesday. "Taxing AI is one way we make sure the winnings from AI benefit all Americans, rather than channeling them only to the wealthy few," she added. Warren is proposing directly taxing AI companies, including AI data centers, writing, "A well-designed tax would focus on the companies that can afford it and scale with AI's impact: the bigger the data center, the more they pay." The excise tax would be for the energy consumed by data centers, allowing families to recoup some of these costs as electricity costs "skyrocket," the Massachusetts Democrat said. She also floated "even bigger and bolder proposals to tax AI," including ideas that "sound radical today," but did not expand on specifics. The progressive's proposal comes as lawmakers struggle to pass most regulations and policy changes related to AI in the wake of fierce partisan and intraparty disagreements. Stanford University released its annual AI Index Report last month, showing AI experts and the U.S. public have drastically different views on AI's societal impact, while nervousness on AI products increased slightly. Warren, who has long pushed for a federal wealth tax, argues AI has created dozens of tech billionaires, prompting layoffs in some sectors, and contributing to higher utility bills. She re-echoed her push for a wealth tax, naming AI leaders like OpenAI CEO Sam Altman and Amazon CEO Jeff Bezos. "Policymakers undoubtedly need to regulate AI and protect against its worst-case harms, like cyber attacks, which could impact our financial system and" national security," Warren said. "We must also tackle the problem of AI's accelerating demand for energy and ensure that families' utility bills don't skyrocket." She pointed to tax breaks companies receive for technology investments, calling it "effectively a tax penalty for hiring human beings and a tax break for buying equipment." Some technology companies have proposed wealth-related solutions, though most do not go as far. In a policy blueprint released last month, OpenAI CEO Sam Altman recommended the creation of a public wealth fund to give every citizen a "stake in AI-driven economy growth" regardless of their current investments in financial markets. He also called for taxes "related to automated labor," given AI could reduce the tax base funding programs like the Supplemental Nutrition Assistance Program, Social Security and Medicaid.

Elizabeth Warren Warns AI Could 'Break Society'

Elizabeth Warren Warns AI Could 'Break Society,' Calls For New Taxes On Automation Sen. Elizabeth Warren (D-Mass.) is calling for new taxes on artificial intelligence (AI), warning that rapid automation could deepen inequality, displace workers and concentrate wealth among tech elites. AI And Inequality Warning In a TIME article published Wednesday, Warren argued that AI is accelerating an economy that already favors the wealthy. She warned of a future in which technology could create a "permanent underclass" and "break society" through extreme wealth concentration. "Americans are hanging on by their fingernails," she wrote, saying AI is already producing tech billionaires while workers face layoffs tied to automation. Job Losses, Economic Strain Warren said Big Tech leaders themselves have warned AI could automate large portions of white-collar work She noted that job losses could have ripple effects, particularly in the U.S., where health insurance is often tied to employment. She also pointed to concerns that AI-driven investment hype could create a financial bubble and increase systemic risk. 'Tax AI And Invest In People' Proposal Warren's central proposal is to "tax AI and invest in people." She argued the tax code should be restructured so corporations do not get incentives to replace workers with machines. "It's time to tax AI," she wrote, calling for higher corporate taxes, tighter loopholes and stronger minimum taxes on large firms. She also proposed taxing AI infrastructure, including data centers, which she said are driving up electricity costs for nearby communities. She further argued for a wealth tax on billionaires, saying many AI-driven fortunes grow through stock valuations rather than wages and are taxed at lower rates than workers. Backlash Grows Over AI Protests Earlier this week, former Rep. Marjorie Taylor Greene (R-Ga.) criticized federal authorities. Her criticism came after a report indicated that U.S. intelligence and law enforcement agencies are expanding surveillance of anti-AI activists, data center protesters and technology critics as part of a broader focus on "anti-tech extremism." On Monday, investor and television personality Kevin O'Leary said his team spent months investigating what he described as a coordinated online campaign aimed at disrupting energy infrastructure and blocking AI data center development across North America. Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Photo courtesy: OogImages/Shutterstock Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.

Elizabeth Warren has bold new plan to tax AI companies

There is a point where a number gets so large it stops feeling real. A billion dollars is hard enough to picture. Five trillion is just noise. That is roughly what one company is now worth. Nvidia (NVDA), the chipmaker whose hardware runs almost every major artificial intelligence (AI) system, became the first company in history to touch a $5 trillion market value, according to CNBC. By this month, it had pushed past $5.5 trillion, worth more than the economic output of every country on Earth except the United States and China, reported 24/7 Wall St. Most of that value sits with a small group of founders, executives, and early investors. The chatbot you use for free did not make you richer. Your electricity bill, on the other hand, has probably gone up, partly to power the data centers behind the boom. That gap is exactly what one senator wants to close. Sen. Elizabeth Warren (D-Mass.) is calling for a sweeping change to the U.S. tax code aimed squarely at the AI industry, arguing the gains from the technology should reach ordinary households and not just the wealthy few. What Elizabeth Warren wants to tax Warren laid out the case in an op-ed for Time magazine, where she argued the country should start taxing AI and putting the money back into workers and families. Her central idea is an excise tax on the energy that AI data centers consume, designed to scale with size. As Warren wrote, "the bigger the data center, the more they pay." The logic is straightforward. Data centers are driving up demand for electricity, and households are absorbing part of the cost through higher utility bills. An energy tax would let families recoup some of that money, the senator argued, according to The Hill. Warren has long pushed for a federal wealth tax, and she named AI leaders including OpenAI's Sam Altman and Amazon (AMZN) chief Jeff Bezos. She also took aim at tax rules that reward companies for buying equipment instead of hiring, calling the current setup "a tax penalty for hiring human beings," according to The Hill. She floated bolder proposals too, including ideas she admitted sound radical today, though she stopped short of spelling them out. Even Altman has suggested giving citizens a stake in AI's growth through a public wealth fund, but his version asks far less of the industry than Warren's does. Photo by Bloomberg on Getty Images Why your power bill is tied to the AI boom The reason Warren keeps pointing at data centers is that they have become some of the hungriest electricity customers in the country, and that demand lands on the same grid that powers your home. Researchers at North Carolina State University and partner schools found that data center and crypto demand could raise electricity costs by as much as 57% in some regions by 2030, with a national average increase of 6% to 29%, according to NC State. Lead author Jeremiah Johnson said U.S. power demand "was relatively flat for almost 20 years." That run is over. Goldman Sachs analysts expect household electricity prices to climb another 6% through 2027, with data center growth a key reason, reported CNBC. When I lined up Nvidia's market value against national economies using International Monetary Fund data, the scale of what Warren is targeting came into focus. This is not a normal company being asked to pay a normal tax. * Nvidia's market value tops the annual gross domestic product of Japan, based on IMF World Economic Outlook data. * It exceeds the output of India, which is home to more than 1.4 billion people, the IMF noted. * Only the U.S. and China produce more in a year than Nvidia is worth, reported 24/7 Wall St. * Nvidia runs on roughly 36,000 employees, a fraction of the workforce behind any of those economies, according to Visual Capitalist. What an AI tax would mean for your money In my analysis, the part that matters most for your money is not the politics. It is the question of who pays for the AI buildout, and whether that bill keeps quietly showing up in places you never agreed to. Start with what you already own. If you hold an index fund or a 401(k), you almost certainly own a slice of Nvidia and the other AI giants. Their gains have lifted your retirement balance. A new tax on their data centers could squeeze margins and rattle valuations that already look stretched, which is one reason short-sellers like Michael Burry have started betting against the trade. Then there is your paycheck. Warren ties the AI boom to layoffs in some sectors, and the tax rules she wants to rewrite currently make machines cheaper to deploy than people. If that math does not change, the pressure on jobs doesn't, either. And there is the bill on your kitchen counter. The same data centers powering your kid's homework helper are pushing your electricity rate up. Warren's plan tries to hand part of that cost back to you instead of leaving it on your monthly statement. Whether any of this becomes law is a long shot in a divided Congress that has struggled to pass even basic AI rules. But Warren has put a price tag on a question voters are already asking. With electricity costs shaping races from New Jersey to Virginia, expect more politicians to start asking who should pay for the machines: you, or the companies worth more than most of the planet? The Arena Media Brands, LLC THESTREET is a registered trademark of TheStreet, Inc. This story was originally published May 30, 2026 at 7:07 AM.