America
Project Panama: Inside Anthropic’s secret race to scan millions of physical books
In early 2024, the artificial intelligence startup Anthropic initiated a clandestine operation dubbed “Project Panama,” an effort to “destructively scan” nearly every book in existence.
According to court filings obtained by The Washington Post, the company spent tens of millions of dollars over the course of a year to purchase millions of books and physically dismantle them by cutting off their spines. The pages were then scanned to feed vast quantities of information into the AI models powering products like the popular chatbot Claude.
The previously undisclosed details of Project Panama were revealed in more than 4,000 pages of documents related to a copyright lawsuit brought by authors against Anthropic, which investors recently valued at $183 billion. While the company agreed to a $1.5 billion settlement in August to resolve the case, a district judge’s decision last week to unseal a series of related documents has provided a clearer picture of Anthropic’s aggressive pursuit of literary data.
These new filings, alongside documents submitted in other copyright cases against AI firms, illustrate the extraordinary lengths to which technology giants—including Anthropic, Meta, Google, and OpenAI—have gone to acquire massive troves of data for “training” their software. The Anthropic litigation is part of a broader wave of legal action by authors, artists, photographers, and news organizations who claim their creative works are being exploited.
Court records reveal that these companies view books as a premier prize. In a January 2023 document, one of Anthropic’s co-founders suggested that training AI models on books would teach them “to write well,” rather than merely mimicking “low-quality internet slang.” Similarly, a 2024 internal Meta email described access to digital book archives as “essential” for staying competitive with AI rivals.
However, the records also show that these companies found it “impractical” to obtain direct permission from publishers and authors. Instead, Anthropic, Meta, and others devised ways to acquire books in bulk without the authors’ knowledge. According to court records, these methods included downloading pirated copies.
When Anthropic launched Project Panama to purchase and scan physical books, it turned to a Silicon Valley veteran. The company hired Tom Turvey, a former Google executive who two decades ago helped spearhead the famous but legally controversial Google Books project.
Anthropic initially considered sourcing books from libraries or iconic second-hand bookstores like New York City’s Strand, famous for its “18 miles” of new and used titles. A March 2024 document detailing an Anthropic content acquisition meeting noted that the store “was interested in providing second-hand books.” Documents also show Anthropic employees discussed approaching US libraries, including the New York Public Library or even “a chronically underfunded new library.”
It remains unclear which of these proposals, if any, were executed. A spokesperson for Strand, reached via email, stated that the bookstore did not sell any books to Anthropic.
Ultimately, documents indicate that Anthropic purchased millions of books, often in batches of tens of thousands, relying on used-book retailers such as Better World Books and the UK-based World of Books. While the final number of scanned books and the total cost were redacted in the documents, a project proposal from a vendor working with Anthropic specified that the AI firm was seeking a “document scanning service provider experienced in converting 500,000 to two million books over a six-month period.”
The document explained that the scanning firm’s “hydraulic-driven cutting machine” would “neatly cut” the books, and the pages would then be scanned using “high-speed, high-quality, production-level scanners.” Finally, the vendor would arrange a schedule with a “recycling company to collect the completed books.”
Internal messages show that Meta employees repeatedly expressed concerns that downloading millions of books without permission would violate copyright law. In December 2023, an internal email submitted in the copyright case against Meta noted that the practice was approved after being “communicated to MZ,” an apparent reference to CEO Mark Zuckerberg.
In a recently released legal filing, Anthropic revealed that co-founder Ben Mann personally spent 11 days in June 2021 downloading fiction and non-fiction titles from “LibGen,” a well-known “shadow library” hosting pirated books and other copyrighted content. A screenshot of a web browser included in the files showed Mann using file-sharing software to download the data.
A year later, in July 2022, Mann welcomed the launch of a new website called Pirate Library Mirror, which claimed to host a massive database of books and stated, “we are intentionally violating copyright law in most countries.” Mann sent a link to the site to other Anthropic employees with the message: “just in time!!!”
In legal filings, Anthropic argued that it did not train a commercial AI model for profit using LibGen data and that it never used Pirate Library Mirror to train any completed AI model.
Ed Newton-Rex, a former AI executive and music composer who now leads a non-profit advocating for creators’ rights, said these revelations underscore that AI companies owe creators far more than they have paid to date. “We urgently need a reset in the AI industry so that creators start getting paid fairly for the vital contributions they make,” he said.
Google, Microsoft, and ChatGPT-maker OpenAI face similar copyright lawsuits from authors. While many of these cases remain pending, James Grimmelmann, a professor of digital and information law at Cornell Tech, noted that the legal questions they raise remain unresolved.
However, in two separate rulings, judges determined that tech companies’ use of books to train AI models without author or publisher permission might be legal under the “fair use” doctrine of copyright law. In June, District Judge William Alsup ruled that Anthropic had the right to use books for training because they processed the works in a “transformative” manner. The judge likened the AI training process to teachers “teaching school children how to write well.”
That same month, District Judge Vince Chhabria ruled in the Meta case that authors failed to prove the company’s AI models could harm the sales of their books.
Nevertheless, companies may still face legal jeopardy regarding how they acquired the books. In the Anthropic case, while the scanning project was accepted, the judge ruled that the company may have violated authors’ copyrights by downloading millions of pirated books for free before launching Project Panama. Alsup granted class-action status to authors whose works were included in two shadow libraries that Anthropic downloaded and stored for future use.
Rather than go to trial, Anthropic agreed to pay publishers and authors $1.5 billion without admitting wrongdoing. Authors whose books were downloaded can claim a share of the settlement, estimated at approximately $3,000 per book.
Aparna Sridhar, Anthropic’s deputy general counsel, stated in an email to The Washington Post: “This case has been resolved, but the court’s landmark June 2025 ruling remains valid. Judge Alsup argued that AI training is ‘fundamentally transformative’: Anthropic’s AI models were trained ‘not to copy or replace works, but to get over a difficult hump and create something different.’ What we settled on was how some materials were obtained, not whether we could use them to develop AI models.”
Documents released in the Meta lawsuit suggest that the social media giant’s employees were equally data-hungry and willing to take legal risks to obtain it. While Judge Chhabria sided with Meta on the use of books for training, he allowed authors to proceed with claims that Meta illegally distributed copies of pirated books. The plaintiffs are seeking class-action status for these claims in the Northern District of California.
In that case, authors alleged that Meta’s senior executives considered purchasing books for training but instead opted to download millions of books for free from “torrent” platforms that facilitate online piracy. Internal documents, some previously reported, show Meta employees expressing concerns that their actions were risky or wrong and discussing how to hide their tracks.
One engineer wrote in 2023, “Downloading torrents from a company laptop doesn’t feel right.” The same employee later voiced concern to the legal team that using torrent sites might require sharing pirated works with others, which “might not be legally appropriate.”
A December 2023 email clearly stated that the use of LibGen was approved after Zuckerberg was notified. “After prior notification to MZ, GenAI’s use of LibGen for Llama 3 was approved… with a series of agreed-upon mitigating measures,” the email read, before listing legal and political risks. It noted that media reports suggesting the use of a known pirate dataset like LibGen could “weaken our negotiating position with regulators on these issues.”
By April 2024, internal correspondence showed the company moving to download LibGen and other shadow libraries. Chat logs show one employee asking another why they were using servers rented from Amazon for torrenting instead of Facebook-owned servers. The answer: “to avoid the risk of the activity being traced back to the company.”
In a filing last month, Meta’s lawyers wrote that the company “denies distributing the plaintiffs’ works while downloading training data using torrents.”
In a separate 2023 case, authors accused OpenAI and Microsoft of violating copyright law by using books for AI training. OpenAI, where Mann and Anthropic CEO Dario Amodei worked before founding their own firm, admitted to downloading LibGen but told the court it deleted the files before the launch of ChatGPT.
Justin A. Nelson, an attorney at Susman Godfrey LLP representing authors in both the OpenAI and Anthropic cases, said: “OpenAI fired the opening shot that led to the widespread piracy by AI companies and the exploitation of all human expression.”
Earlier this month, two major publishers applied to join a group of authors and illustrators in a 2023 copyright lawsuit against Google.
Grimmelmann, the Cornell Tech law professor, observed that AI companies “led themselves into a delusion” regarding the use of copyrighted data. The breakthroughs behind tools like ChatGPT began in academic research, where the use of copyrighted material for training is widely accepted, but researchers continued the practice even as AI models became commercialized.
“By the time the tension became apparent, they had invested heavily in incorporating copyrighted data into their workflows and were in a fast-paced, high-stakes competition to launch newer and better models,” Grimmelmann said.
America
The system that needed Lindsey Graham
Thomas Karat, behavior analyst
The senator died Saturday night of an aortic dissection, at seventy-one, in the middle of a campaign for a fifth term. His communications director cited the medical examiner’s preliminary finding: a rupture in the body’s largest artery, the consequence of arteriosclerotic cardiovascular disease. The tributes arrived within hours. Trump called him a true American patriot. Volodymyr Zelensky, who had met him twice in the preceding week, called him a friend who was there when it was needed most. Mark Rutte and Benjamin Netanyahu sent their own. Roger Wicker, chairman of the Armed Services Committee, said there were no words to describe Graham’s impact on the foreign and domestic policy of the United States.
There are words. The obituaries have chosen the wrong ones, and in doing so they have skipped the only question worth asking about a man like this. Not whether he was sincere in his convictions — he was, exhaustingly so — but how a senator whose reflexive answer to every foreign crisis was force spent twenty-three years being handed the committee seats, the airtime, and the ear of four presidents that let him act on it. Graham was not an aberration the system tolerated. He was a product the system manufactured, promoted, and kept in stock because he was useful.
Consider the shape of the career. In March 2003, as the bombs fell on Baghdad, Graham told the country that past disagreements should give way to a shared commitment to see the effort through. The war he blessed that day killed more than a quarter of a million Iraqi civilians by the most conservative direct-death counts, birthed the insurgency that became ISIS, and left the country a wreck. He drew no lesson from it. When Libya was broken open in 2011 and left to its warlords, he had backed the intervention. When Syria was pulled apart, he had wanted deeper involvement. Across two decades, the country would be devastated, and Graham’s response to each devastation was to locate the next one.
By February of this year the next one was Iran. On the twenty-sixth, under his own Senate letterhead, Graham published an essay that reads now like a confession left in plain sight. Iran, he wrote, was facing a Berlin Wall moment. The regime was at its weakest point since 1979, and his ultimate hope was that regime change would be achieved. He described the October 7 attacks, in his own phrasing — as a silver lining, because the Israeli campaign that followed had degraded Iran’s military. He praised Trump for pursuing, in his words, peace, not war, in the same paragraphs that celebrated a bombing campaign already under way. The strikes had a name: Operation Midnight Hammer. Graham called it the largest opportunity for peace and prosperity in the Middle East in over a thousand years.
He said the quiet part in Tel Aviv, to reporters, on February 16, less than two weeks before the strikes began. The United States was on the verge of eliminating the largest state sponsor of terrorism in the region. On Fox News, days into the war, he offered the ledger in its rawest form: when the regime goes down, he said, there would be a new Middle East, and the United States would make a tremendous amount of money. Venezuela and Iran held nearly a third of the world’s known oil reserves, he noted, and the point of the exercise was a partnership with those reserves. Regime change as a real-estate transaction. He had made the trip to Israel, the UAE, and Saudi Arabia the week before to reaffirm, he wrote, that all of it was attainable and would be extremely beneficial to the United States. Weeks earlier he had met with Mossad, telling reporters they would tell him things his own government would not.
None of this cost him anything. That is the part the eulogies cannot hold in view, because to hold it in view is to indict the institutions doing the eulogizing. A senator who spent a career being wrong about the consequences of American force — wrong about Iraq, wrong about Libya, wrong about what would follow the fall of every regime he wanted to fall — was never demoted for it. He was promoted. The record of his committee assignments tells the story in the driest possible language. For years he sat on the Armed Services Committee, from which he lectured the Senate that its love for the troops bought nothing, that only appropriations did, that a colleague worried about the budget was out of touch with the world. By the time of his death he chaired the Budget Committee and sat on Appropriations — the panels that write the numbers and bless the spending. The man who wanted every war was placed, again and again, on the committees that pay for them.
Follow the money and the shape sharpens further. Graham’s donors, across a career documented in Federal Election Commission filings, clustered where his positions pointed. The defense contractors — the makers of the aircraft, the missiles, the systems — routed money to his committees and his leadership PACs. The specific career totals sit behind a paywall that blocks automated verification, and so no single figure belongs in this account. But the pattern needs no exact number to be legible. A senator who votes for every weapons system, who calls insufficient defense spending an emergency, who treats the reduction of the military budget as a moral failure, is a senator worth funding for the people who build the weapons. The contributions were not a bribe. They did not need to be. They were an investment in a man who already believed, and who sat where belief could be converted into contracts.
The media completed the machine. Graham was a fixture of the Sunday shows and the cable green rooms for a reason that had nothing to do with wisdom and everything to do with format. He was quotable, available, and reliably hawkish, which made him the perfect guest for programs that reward certainty over accuracy and confrontation over reflection. The pipeline ran in both directions. The airtime made him a national figure, and being a national figure got him more airtime, and the whole apparatus rewarded the escalation it claimed only to be covering. When he called for bombing Iran regardless of Iran’s involvement in a given attack, and told Israel to finish the job, the remarks drew condemnation abroad and bookings at home. The market for a war hawk was deep, and he supplied it.
What made Graham durable was that his convictions never had to survive an election of ideas, only the tolerance of the institutions that housed them. He denounced Trump in 2015 as a race-baiting xenophobic bigot and a jackass, and by his second term was among the president’s most consistent defenders, having discovered that proximity to power mattered more than the content of the man wielding it. The pitch that helped start this year’s war was delivered, according to reporting on the strikes, over rounds of golf. Iran was a spoiler for everything Trump wanted, Graham told him; collapse the regime and it would be Berlin Wall stuff. The president was persuaded. The bombs fell. And when a reporter asked Graham what the plan was for the day after — the question that Iraq should have burned into every hawk in Washington — he answered that it was not his job to know. The future of Iran, he said, was for the Iranian people to determine. He had wanted the war. The consequences belonged to someone else.
That was always the arrangement. The wars were his to advocate and never his to own. He would appear on the morning shows to demand them, sit on the committees to fund them, take the money from the firms that profited from them, and when they curdled into the next disaster he would be on television again, demanding the next one, his authority somehow enhanced rather than diminished by the wreckage behind him. This is not the biography of an outlier. It is the biography of an incentive structure, wearing a man’s face.
He died with the seat already in motion. Within hours, before any burial, the reporting had turned to the scramble to replace him, to the governor who will name a temporary successor, to what his absence means for a Republican majority counting every vote. Trump told NBC he already had someone in mind. The machine that made Lindsey Graham did not pause to mourn him. It began, immediately, to fill the vacancy — because the position he occupied was never really about the man. It was about keeping the seat filled by someone who would say what he said. There is no shortage of applicants. That is the dread the eulogies are built to keep you from feeling. He is gone, and nothing that produced him has changed.
***
Thomas Karat has spent a career in multinational technology corporations and is a behavior analyst holding a Master’s in Science and Communication from Manchester Metropolitan University. His work focuses on the psychology of language in power dynamics, and his graduate thesis examined linguistic deception markers in high-stakes business negotiations. He hosts a YT podcast, SaltCubeAnalytics, and publishes at karat.substack.com
America
Trump financial disclosures show millions invested in major defense contractors, analysis reveals
US President Donald Trump’s financial disclosures released last week reveal that he has invested millions of dollars in approximately a dozen companies, including weapons manufacturers and defense contractors, according to a news analysis by Responsible Statecraft. The analysis shows that Trump, through investment firms representing him, acquired shares in defense sector companies valued at a total of between $9.7 million and $24.3 million.
The companies receiving investment included Palantir, Lockheed Martin, and General Dynamics.
According to the financial disclosures, the investment firms managing Trump’s assets invested between $1.6 million and $3.9 million in the data analytics and artificial intelligence company Palantir.
The analysis noted that Palantir developed the AI-powered Maven Smart System, which is utilized in US military operations in the war with Iran. The same analysis also claimed that the company contributed to the development of software named “Big Daddy,” which is used in Israeli military operations in Gaza.
Trump’s portfolio also includes shares in Boeing. The analysis stated that Boeing sold F-15 fighter jets valued at $8.6 billion to Israel less than three months before Trump and Israeli Prime Minister Benjamin Netanyahu initiated their joint war against Iran.
According to the financial disclosures, Trump also invested in GE Aerospace, Lockheed Martin, General Dynamics, and RTX, the manufacturer of Tomahawk missiles.
The analysis wrote that weapons produced by these companies were heavily used in the war with Iran, including Tomahawk missiles used in a US Air Force strike on a primary school in the Iranian city of Minab. The report stated that at least 168 children lost their lives in this attack.
According to Responsible Statecraft, the majority of these companies received new contracts from the Pentagon aimed at replenishing US missile stockpiles depleted during the war with Iran.
RTX signed a $373 million contract for 23 Standard Missile-3 IB interceptor missiles, while Lockheed Martin was reported to have secured a $35 billion contract intended to quadruple its production of the THAAD missile defense system.
The financial disclosures showed that Trump’s investment firms also invested in shares of Kratos Defense, Honeywell, Howmet Aerospace, L3Harris, and TransDigm.
Responsible Statecraft noted that the shares of these companies gained significant value within a year of Trump returning to office. According to the analysis, in 2025, Palantir shares rose by 135%, Kratos shares by 188%, GE Aerospace shares by 84%, and RTX shares by 61%.
In April, Trump posted on Truth Social, stating: “Palantir Technologies has proven to have very powerful capabilities and equipment on the battlefield. Ask our enemies!” Following the post, the company’s shares reportedly rose by approximately 3% within a few minutes.
Financial records showed that Trump generated more than $2 billion in income in 2025. Responsible Statecraft wrote that this amount is “unprecedented” for a sitting US president.
According to the report, the majority of this income was derived from investments linked to cryptocurrency companies such as World Liberty Financial and Binance. Trump reportedly earned hundreds of millions of dollars from “memecoins” launched through these companies, though these crypto assets later suffered sharp declines in value, resulting in losses for numerous investors.
The analysis stated that Tahnoun bin Zayed al-Nahyan, the UAE National Security Advisor and brother of the UAE President and Foreign Minister, invested $500 million in World Liberty Financial and $2 billion in Binance. Trump subsequently approved the export of advanced AI chips to the UAE, a decision that the analysis indicated created the impression of being linked to the crypto investments.
According to the analysis, Donald Trump Jr. is also connected to companies operating in the unmanned aerial vehicle and defense technology sectors. Trump Jr. is a major shareholder and advisory board member at Unusual Machines, which manufactures drone components, while his investment firm also holds stakes in Powerus and Vulcan Elements, both of which hold Pentagon contracts.
Trump Jr. serves on the board of Powerus, which markets drone systems used to intercept Iranian missiles to Gulf countries, and Eric Trump is reported to hold a financial interest in the same company.
Richard Painter, who served as the chief White House ethics lawyer during the George W. Bush administration, evaluated the situation, saying: “These countries are under great pressure to buy from the president’s sons. In this way, the president will do what they want.”
When asked last year about potential conflicts of interest arising from Trump’s business activities, White House Spokesperson Anna Kelly responded: “There are no conflicts of interest.” Trump also acknowledged the existence of conflicts of interest in an interview with the New York Times earlier this year, but argued they were not important, saying: “I realized that nobody cares.”
America
US Democrats split over proposed data center moratoriums amid rising energy and climate concerns
Democrats in the United States increasingly view the rapid expansion of data centers as a critical challenge, yet the party remains deeply divided over how to address the issue.
For many Democrats, the immense energy consumption of these facilities—which drives up household electricity bills and exacerbates climate change—makes some form of restriction an inevitable policy option. The growing public unpopularity of these centers raises the political stakes for Democrats, who are seeking solutions to protect their prospects in this year’s midterm elections on promises of lowering the cost of living.
Last month, Representative Frank Pallone Jr., the top Democrat on the House Energy and Commerce Committee, called for a moratorium on data center construction. However, senior party leadership has shown little enthusiasm for the proposal.
These internal divisions are also playing out at the state level, where at least two Democratic-controlled legislatures have passed data center moratoriums. One of those measures was vetoed, while the other is currently awaiting the governor’s signature.
Support for restricting data centers does not align strictly along traditional ideological lines. A faction of anti-establishment Republicans has backed such efforts, while other members of the Republican Party continue to debate how, or even if, to regulate the massive server farms powering the artificial intelligence boom.
In Congress, Democratic leaders have repeatedly argued that data centers must pay their fair share of rising energy costs.
Earlier this year, Senate Majority Leader Chuck Schumer stated that Democrats would push for “strong, enforceable consumer protections.”
Similarly, House Minority Leader Hakeem Jeffries expressed support for technological innovation while emphasizing, “We must ensure we are protecting the American consumer.”
However, neither leader has endorsed a specific legislative proposal to achieve these objectives. Requests for comment sent to the offices of Schumer and Jeffries went unanswered.
Jeffries also told Politico that halting data center development is “certainly not a position I am articulating at this time.”
In contrast, influential progressive figures, including Senator Bernie Sanders and Representative Alexandria Ocasio-Cortez, argue that a total moratorium on data center construction is necessary.
In March, these lawmakers introduced legislation that would ban the construction of new data centers until Congress enacts a suite of AI safety measures, ranging from government audits of AI models to protections against mass layoffs.
Pallone voiced strong support for the concept last month during a subcommittee hearing on a separate data center bill, stating he favored “a national AI data center moratorium until we can figure out a way that this is not going to harm our nation’s air, water, and utility bills.”
Following his remarks, Pallone added: “The reality is that everything with these data centers is moving so quickly, and I am concerned about the impact on electricity consumers and the environment.”
The Data Center Coalition, an industry group backed by several major technology companies, argued that a national moratorium would deter investment in the US, damage the economy, and “send the wrong message to other industries.”
“A federal mandate to halt data center construction risks restricting access to cloud and digital services, undermines our global competitiveness, and would have significant consequences for Americans’ daily lives,” the group said in a statement in late June.
Maxwell Shulman, a policy research analyst at Beacon Policy Advisors, suggested that the primary force driving the recent push for moratoriums is a “general hostility toward AI and Big Tech.”
“People see many of these changes. They are worried about AI. They are worried about the economy and their jobs, and they feel there is very little they can do about it,” Shulman said. “They view data centers not only as the physical embodiment of AI, but also as one of the rare areas where they can actually have a say or fight back.”
Shulman added: “I think moratoriums are a blunt but effective tool to demonstrate this opposition or concern toward AI in general, not just data centers.”
Meanwhile, a narrower, bipartisan bill has been gaining momentum in Congress.
The Electricity Consumers Protection Act, led by Representative Kathy Castor, a Democrat, and Representative Gabe Evans, a Republican, would require state utility regulators to establish rules ensuring that ordinary Americans do not foot the bill for new power generation and transmission lines built to support high-load consumers like data centers.
The bill passed the House Energy and Commerce subcommittee in late June and is scheduled for consideration by the full committee.
Castor said Congress should begin by establishing regulatory safeguards, though she did not rule out supporting a construction halt in the future.
“People want guardrails. They do not want their electricity bills to go up, and they are worried about water,” Castor said last month.
When asked about her stance on a moratorium, Castor added: “If we reach a point where these guardrails are not put in place and companies simply ignore them, we will have to move to that stage.”
At the state level, Democratic governors have blocked or slowed legislative efforts to limit data center expansion. In Maine, the legislature passed a bill to ban new data center construction for 18 months, but Governor Janet Mills vetoed the measure because it did not exempt an ongoing $550 million project.
New York lawmakers passed a one-year data center moratorium in June, which is currently awaiting action from Governor Kathy Hochul. According to a report by Politico, Hochul is instead considering an executive order for a shorter, six-month halt.
Other Democratic governors have actively opposed data center moratoriums.
“Walking away from a technology that will continue to propagate is leaving the table,” Representative Abigail Spanberger, a Democrat from Virginia, told Politico this week.
In California, Democratic Governor Gavin Newsom vetoed a bill that would have required planned data centers to estimate their water usage.
As broad moratoriums encounter resistance, state-level Democratic leaders are turning to more targeted solutions, such as reassessing data center tax credits. In Illinois, Democratic Governor JB Pritzker announced in June that the state would suspend its tax incentives for data centers due to energy and water concerns.
Some Republicans have adopted a similar approach. In May, Ohio’s Republican Governor Mike DeWine instructed state officials to temporarily halt the evaluation of new tax exemption requests while lawmakers review data center growth in the state.
In Virginia, lawmakers kept data center tax incentives intact after prolonged budget debates that forced a special legislative session. Spanberger instead supported the introduction of a new tax on electricity consumption.
Meanwhile, in New Jersey, Governor Mikie Sherrill signed legislation this week that places data centers into a separate category of electricity consumers. The governor’s office stated that the measure will ensure data centers pay for their own energy use and the associated infrastructure.
Commenting on the dynamics facing state leaders, Shulman said: “There is a massive amount of investment potential and a lot of potential jobs at stake. And I really think these Democratic governors do not want to shoot their own states in the foot in the race to capture these jobs.”
Shulman added: “The goal for a Democratic governor is to send a policy signal strong enough to make voters feel they are taking a tough stance on AI, or addressing its potential negative consequences, while still trying to attract as much investment and as many jobs as possible.”
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