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As Big Tech builds AI data centers at record pace, carbon emissions are set to skyrocket

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Welcome to Eye on AI! In this edition...Ilya Sutskever says he is now CEO of Safe Superintelligence…Chinese AI companies erode U.S. dominance…Meta’s AI talent bidding war heats up…Microsoft’s sales overhaul goes all-in on AI.

As an early-summer heat wave blanketed my home state of New Jersey last week, it felt like perfect timing to stumble across a sobering new prediction from Accenture: AI data centers’ carbon emissions are on track to surge 11-fold by 2030.

The report estimates that over the next five years, AI data centers could consume 612 terawatt-hours of electricity—roughly equivalent to Canada’s total annual power consumption—driving a 3.4% increase in global carbon emissions.

And the strain doesn’t stop at the power grid. At a time when freshwater resources are already under severe pressure, AI data centers are also projected to consume more than 3 billion cubic meters of water per year—a volume that surpasses the annual freshwater withdrawals of entire countries like Norway or Sweden.

Unsurprisingly, the report—Powering Sustainable AI—offers recommendations for how to rein in the problem and prevent those numbers from becoming reality. But with near-daily headlines about Big Tech’s massive AI data center buildouts across the U.S. and worldwide, I can’t help but feel cynical. The urgent framing of an AI race against China doesn’t seem to leave much room—or time—for serious thinking about sustainability.

Just yesterday, for example, OpenAI agreed to rent a massive amount of computing power from Oracle data centers as part of its Stargate initiative, which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. The additional capacity from Oracle totals about 4.5 gigawatts of data center power in the U.S., according to Bloomberg reporting. A gigawatt is akin to the capacity from one nuclear reactor and can provide electricity to roughly 750,000 houses. 

And this week, Meta was reported to be seeking to raise $29 billion from private capital firms to build AI data centers in the U.S., while already building a $10 billion AI data center in Northeast Louisiana. As part of that deal, the local utility, Entergy, will supply three new power plants. 

Meta CEO Mark Zuckerberg has made his intentions clear: The U.S. must rapidly expand AI data center construction or risk falling behind China in the race for AI dominance. Speaking on the Dwarkesh Podcast in May, he warned that America’s edge in artificial intelligence could erode unless it keeps pace with China’s aggressive build-out of data center capacity and factory-scale hardware.

“The U.S. really needs to focus on streamlining the ability to build data centers and produce energy,” Zuckerberg said. “Otherwise, we’ll be at a significant disadvantage.”

The U.S. government seems to be aligned with that sense of urgency. David Sacks, now serving as the White House AI and Crypto Czar, has also underscored that energy and data center expansion are central to America’s AI strategy—leaving little room for sustainability concerns.

On his All In podcast in February, Sacks argued that Washington’s “go-slow” approach to AI could strangle the industry. He emphasized that the U.S. needs to clear the way for infrastructure and energy development—including AI data centers—to keep pace with China.

In late May, he went further, saying that streamlining permitting and expanding power generation are essential for AI’s future—something he claimed has been “effectively impossible under the Biden administration.” His message: the U.S. needs to race to build faster.

Accenture, meanwhile, is urging its clients to responsibly grow and engineer its AI data centers in a bid to balance growth with environmental responsibility. It is offering a new metric, that it calls the Sustainable AI Quotient (SAIQ), to measure the true costs of AI in terms of money invested, megawatt-hours of energy consumed, tons of CO₂ emitted and cubic meters of water used. The firm’s report says the metric will help organizations answer a basic question: “What are we actually getting from the resources we’re investing in AI?” and allow that enterprise to measure its performance across time.

I spoke to Matthew Robinson, managing director of Accenture Research and co-author of the report, who emphasized that he hoped Accenture’s sobering predictions would be proven wrong. “They kind of take your breath away,” he said, explaining that Accenture modeled future energy consumption from the expected number of installed AI chips adjusted for utilization and the additional energy requirements of data centers. That data was combined with regional data on electricity generation, energy mix and emissions, while water use was assessed based on AI data center energy consumption and how much water is consumed per unit of electricity generated.

“The point really is to open the conversation around the actions that are available to avert this pathway—we don’t want to be right here,” he said. He would not comment on the actions of specific companies like OpenAI or Meta, but said that overall, clearly more effort is needed to avert the rise in carbonisation fueled by AI data centers while still allowing for growth. 

Accenture’s recommendations certainly make sense: Optimize the power efficiency of AI workloads and data centers with everything from low-carbon energy options to cooling innovations. Use AI thoughtfully, by choosing smaller AI models, and better pricing models for incentivizing efficiency. And ensure better governance over AI sustainability initiatives. 

It’s hard to imagine that the biggest players in the race for AI dominance—Big Tech giants and heavily funded startups—will hit the brakes long enough to seriously address these growing concerns. Not that it’s impossible. Take Google, for example: In its latest sustainability report released this week, the company revealed that its data centers are consuming more power than ever. In 2024, Google used approximately 32.1 million megawatt-hours (MWh) of electricity, with a staggering 95.8%—about 30.8 million MWh—consumed by its data centers. That’s more than double the energy its data centers used in 2020, just before the consumer AI boom.

Still, Google emphasized that it’s making meaningful strides toward cleaning up its energy supply, even as demand surges. The company said it cut its data center energy emissions by 12% in 2024, thanks to clean energy projects and efficiency upgrades. And it’s squeezing more out of every watt. Google reported that the amount of compute per unit of electricity has increased about six-fold over the past five years. Its power usage effectiveness (PUE)—a key measure of data center efficiency—is now approaching the theoretical minimum of 1.0, with a reported PUE of 1.09 in 2024.

“Just speaking personally, I’d be optimistic,” said Robinson.

Note: Check out this new Fortune video about my tour of IBM’s quantum computing test lab. I had a fabulous time hanging out at IBM’s Yorktown Heights campus (a midcentury modern marvel designed by the same guy as the St. Louis Arch and the classic TWA Flight Center at JFK Airport) in New York. The video was part of my coverage for this year’s Fortune 500 issue that included an article that dug deep into IBM’s recent rebound.

As I said in my piece, “walking through the IBM research center is like stepping into two worlds at once. There are the steel and glass curves of Saarinen’s design, punctuated by massive walls made of stones collected from the surrounding fields, with original Eames chairs dotting discussion nooks. But this 20th-century modernism contrasts starkly with the sleek, massive, refrigerator-like quantum computer—among the most advanced in the world—that anchors the collaboration area and working lab, where it whooshes with the steady hum of its cooling system.”

With that, here’s the rest of the AI news.

Sharon Goldman
sharon.goldman@fortune.com
@sharongoldman

AI IN THE NEWS

Ilya Sutskever says he is now CEO of Safe Superintelligence, after Daniel Gross steps down to join Meta. Ilya Sutskever, the former OpenAI chief scientist who founded Safe Superintelligence (SSI) with Daniel Gross and Daniel Levy a year ago, confirmed that he will now serve as SSI’s CEO after Daniel Gross stepped down. Sustkever posted on X saying: “Daniel Gross’s time with us has been winding down, and as of June 29 he is officially no longer a part of SSI. We are grateful for his early contributions to the company and wish him well in his next endeavor. I am now formally CEO of SSI, and Daniel Levy is President. The technical team continues to report to me. ⁠You might have heard rumors of companies looking to acquire us. We are flattered by their attention but are focused on seeing our work through.” Meta was rumored to have sought to acquire the $32 billion-valued SSI.

Chinese AI companies erode U.S. dominance. According to the Wall Street Journal, Chinese artificial intelligence companies are gaining ground globally, challenging U.S. supremacy and intensifying a potential AI arms race. Across Europe, the Middle East, Africa, and Asia, organizations—from multinational banks like HSBC and Standard Chartered to Saudi Aramco—are increasingly adopting large language models from Chinese firms such as DeepSeek and Alibaba as alternatives to U.S. offerings like ChatGPT. Even American cloud giants like Amazon Web Services, Microsoft, and Google now offer access to DeepSeek’s models, despite U.S. government security restrictions on the company’s apps. While OpenAI’s ChatGPT still leads in global adoption—with 910 million downloads versus DeepSeek’s 125 million—Chinese models are undercutting U.S. competition by offering nearly comparable performance at much lower prices.

Meta’s AI talent bidding war heats up. As Mark Zuckerberg rapidly staffs up Meta’s new superintelligence lab, his company has reportedly offered some OpenAI researchers eye-popping pay packages of up to $300 million over four years, with more than $100 million in first-year compensation, Wired reports. The offers, which include immediate stock vesting, have been extended to at least 10 OpenAI employees, according to sources familiar with the negotiations. While Meta’s aggressive recruiting tactics have caught the attention of top talent, some OpenAI staffers told Wired they’re weighing the massive payouts against their potential impact at Meta versus staying at OpenAI. A Meta spokesperson pushed back, claiming reports of the offer sizes are exaggerated. Still, even Meta’s senior engineers typically make around $850,000 per year, with those in higher pay bands earning over $1.5 million annually, according to Levels.FYI data.

Microsoft’s sales overhaul goes all-in on AI. Microsoft’s sales chief, Judson Althoff, is reshaping the company’s sales organization to double down on AI, according to an internal memo obtained by Business Insider. Althoff’s Microsoft Customer and Partner Solutions (MCAPS) unit will now focus on embedding Copilot across devices and roles, deepening Microsoft 365 and Dynamics 365 adoption, winning high-impact AI deals, expanding Azure cloud migration, and strengthening cybersecurity to support AI growth. The memo, sent just one day before Microsoft’s latest round of layoffs—many of which affected Althoff’s sales teams—outlined his vision to make Microsoft “the Frontier AI Firm.” According to Business Insider, this restructuring follows Althoff’s earlier plan to cut the number of sales solution areas in half starting this fiscal year.

FORTUNE ON AI

The new CEO flex: Bragging that AI handles exactly X% of the work —by Sharon Goldman

Sam Altman scoffs at Mark Zuckerberg’s AI recruitment drive and says Meta hasn’t even got their ‘top people’ —by Beatrice Nolan

Figma files for IPO nearly two years after $20 billion Adobe buyout fell through —by Allie Garfinkle

AI CALENDAR

July 8-11: AI for Good Global Summit, Geneva

July 13-19: International Conference on Machine Learning (ICML), Vancouver

July 22-23: Fortune Brainstorm AI Singapore. Apply to attend here.

July 26-28: World Artificial Intelligence Conference (WAIC), Shanghai. 

Sept. 8-10: Fortune Brainstorm Tech, Park City, Utah. Apply to attend here.

Oct. 6-10: World AI Week, Amsterdam

Dec. 2-7: NeurIPS, San Diego

Dec. 8-9: Fortune Brainstorm AI San Francisco. Apply to attend here.

EYE ON AI NUMBERS

$65 Billion

That’s how much U.S. investment in AI companies soared to in the first quarter of this year—a 33% jump from the previous quarter and a staggering 550% increase compared to the quarter before ChatGPT’s 2022 debut, according to PitchBook.

The biggest price tag? Data centers.

 The New York Times reports that Meta, Microsoft, Amazon, and Google plan to spend a combined $320 billion on infrastructure this year—more than double what they spent just two years ago. A huge chunk of that will go toward building new data centers to keep up with the exploding demand for AI.



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Netflix cofounder started his career selling vacuums door-to-door before college—now, his $440 billion streaming giant is buying Warner Bros. and HBO

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Reed Hastings may soon pull off one of the biggest deals in entertainment history. On Thursday, Netflix announced plans to acquire Warner Bros.—home to franchises like Dune, Harry Potter, and DC Universe, along with streamer HBO Max—in a total enterprise value deal of $83 billion. The move is set to cement Netflix as a media juggernaut that now rivals the legacy Hollywood giants it once disrupted.

It’s a remarkable trajectory for Netflix’s cofounder, Hastings—a self-made billionaire who found a love for business starting as a teenage door-to-door salesperson.

“I took a year off between high school and college and sold Rainbow vacuum cleaners door to door,” Hastings recalled to The New York Timesin 2006. “I started it as a summer job and found I liked it. As a sales pitch, I cleaned the carpet with the vacuum the customer had and then cleaned it with the Rainbow.”

That scrappy sales job was the first exposure to how to properly read customers—an instinct that would later shape Netflix’s user-obsessed culture. After graduating from Bowdoin College in 1983, Hastings considered joining the Marine Corps but ultimately joined the Peace Corps, teaching math in Eswatini for two years. When he returned to the U.S., he obtained a master’s in computer science from Stanford and began his career in tech.

The idea for Netflix reportedly came a few years later in the late 1990s. After misplacing a VHS copy of Apollo 13 and getting hit with a $40 late fee at Blockbuster, Hastings began exploring a mail-order rental service. While it’s an origin story that has since been debated, it marked the start of a company that would reshape global entertainment.

Hastings stepped back as CEO in 2023 and now serves as Netflix’s chairman of the board. He has amassed a net worth of about $5.6 billion. He’d be even richer if he didn’t keep offloading his shares in the company and making record-breaking charitable donations.

Netflix’s secret for success: finding the right people

Hastings has long said that one of the biggest drivers of Netflix’s success is its focus on hiring and keeping exceptional talent.

“If you’re going to win the championship, you got to have incredible talent in every position. And that’s how we think about it,” he told CNBC in 2020. “We encourage people to focus on who of your employees would you fight hard to keep if they were going to another company? And those are the ones we want to hold onto.”

To secure top performers, Hastings said he was more than willing to pay for above-market rates. 

“With a fixed amount of money for salaries and a project I needed to complete, I had a choice: Hire 10 to 25 average engineers, or hire one ‘rock-star’ and pay significantly more than what I’d pay the others, if necessary,” Hastings wrote. “Over the years, I’ve come to see that the best programmer doesn’t add 10 times the value. He or she adds more like a 100 times.”

That mindset also guided Netflix’s leadership transition. When Hastings stepped back from the C-suite, the company didn’t pick a single successor—it picked two. Greg Peters joined Ted Sarandos as co-CEO in 2023.

“It’s a high-performance technique,” Hastings said, speaking about the co-CEO model. “It’s not for most situations and most companies. But if you’ve got two people that work really well together and complement and extend and trust each other, then it’s worth doing.”

Netflix’s stock has soared more than 80,000% since its IPO in 2002, adjusting for stock splits.

Netflix brought unlimited PTO into the mainstream

Netflix’s flexible workplace culture has also played a key role in its success, with Hastings often known for prioritizing time off to recharge. 

“I take a lot of vacation, and I’m hoping that certainly sets an example,” the former CEO said in 2015. “It is helpful. You often do your best thinking when you’re off hiking in some mountain or something. You get a different perspective on things.”

The company was one of the first to introduce unlimited PTO, a policy that many firms have since adopted. About 57% of retail investors have said it could improve overall company performance, according to a survey by Bloomberg. Critics have argued that such policies can backfire when employees feel guilty taking time off, but Hastings has maintained that freedom is core to Netflix’s identity. 

“We are fundamentally dedicated to employee freedom because that makes us more flexible, and we’ve had to adapt so much back from DVD by mail to leading streaming today,” Hastings said. “If you give employees freedom you’ve got a better chance at that success.”

Netflix’s other cofounder, Marc Randolph, embraced a similar philosophy of valuing work-life balance.

“For over thirty years, I had a hard cut-off on Tuesdays. Rain or shine, I left at exactly 5 p.m. and spent the evening with my best friend. We would go to a movie, have dinner, or just go window-shopping downtown together,” Randolph wrote in a LinkedIn post.

“Those Tuesday nights kept me sane. And they put the rest of my work in perspective.”



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‘This species is recovering’: Jaguar spotted in Arizona, far from Central and South American core

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The spots gave it away. Just like a human fingerprint, the rosette pattern on each jaguar is unique so researchers knew they had a new animal on their hands after reviewing images captured by a remote camera in southern Arizona.

The University of Arizona Wild Cat Research and Conservation Center says it’s the fifth big cat over the last 15 years to be spotted in the area after crossing the U.S.-Mexico border. The animal was captured by the camera as it visited a watering hole in November, its distinctive spots setting it apart from previous sightings.

“We’re very excited. It signifies this edge population of jaguars continues to come here because they’re finding what they need,” Susan Malusa, director of the center’s jaguar and ocelot project, said during an interview Thursday.

The team is now working to collect scat samples to conduct genetic analysis and determine the sex and other details about the new jaguar, including what it likes to eat. The menu can include everything from skunks and javelina to small deer.

As an indicator species, Malusa said the continued presence of big cats in the region suggests a healthy landscape but that climate change and border barriers can threaten migratory corridors. She explained that warming temperatures and significant drought increase the urgency to ensure connectivity for jaguars with their historic range in Arizona.

More than 99% of the jaguar’s range is found in Central and South America, and the few male jaguars that have been spotted in the U.S. are believed to have dispersed from core populations in Mexico, according to the U.S. Fish and Wildlife Service. Officials have said that jaguar breeding in the U.S. has not been documented in more than 100 years.

Federal biologists have listed primary threats to the endangered species as habitat loss and fragmentation along with the animals being targeted for trophies and illegal trade.

The Fish and Wildlife Service issued a final rule in 2024, revising the habitat set aside for jaguars in response to a legal challenge. The area was reduced to about 1,000 square miles (2,590 square kilometers) in Arizona’s Pima, Santa Cruz and Cochise counties.

Recent detection data supports findings that a jaguar appears every few years, Malusa said, with movement often tied to the availability of water. When food and water are plentiful, there’s less movement.

In the case of Jaguar #5, she said it was remarkable that the cat kept returning to the area over a 10-day period. Otherwise, she described the animals as quite elusive.

“That’s the message — that this species is recovering,” Malusa said. “We want people to know that and that we still do have a chance to get it right and keep these corridors open.”



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MacKenzie Scott tries to close the higher ed DEI gap, giving away $155 million this week alone

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MacKenzie Scott has arguably been the biggest name in philanthropy this year—and has nonstop been making major gifts to organizations focused on education, DEI, disaster recovery, and many other causes.

This week alone, several higher education institutions announced major gifts from the billionaire philanthropist and ex-wife of Amazon founder Jeff Bezos—donations totaling well over $100 million. In true Scott fashion, many of these donations are the largest single donations these schools have ever received.

The donations announced this week include: 

  • $50 million to California State University-East Bay
  • $50 million to Lehman College (part of the City University of New York system)
  • $38 million to Texas A&M University-Kingsville
  • $17 million to Seminole State College

All four institutions are public, access-oriented colleges that enroll large shares of low‑income, first‑generation, and racially diverse students and function as minority‑serving institutions or similar engines of social mobility. They fit MacKenzie Scott’s broader pattern of directing large, unrestricted gifts to colleges that serve “chronically underserved” communities rather than already wealthy, highly selective universities.

Scott, who is worth about $40 billion and has donated over $20 billion in the past five years, has doubled down this year on causes that the Trump administration has cut deeply, such as education, DEI, and disaster recovery.

“As higher education, in general, works to find its way in an uncertain environment, this gift is a major source of encouragement that we are on the right path,” Lehman College President Fernando Delgado said in a statement. 

Scott also made one of the largest donations in HBCU Howard University’s 158-year history with an $80 million gift earlier this fall, and a $60 million donation to the Center for Disaster Philanthropy after Trump administration’s cuts to the Federal Emergency Management Agency (FEMA)—an organization Americans rely on for help during and after hurricanes, wildfires, tornadoes, and floods.

“All sectors of society—public, private, and social—share responsibility for helping communities thrive after a disaster,” CDP president and CEO Patricia McIlreavy previously told Fortune. “Philanthropy plays a critical role in providing communities with resources to rebuild stronger, but it cannot—and should not—replace government and its essential responsibilities.”

Trust-based philanthropy

Scott accumulated the vast majority of her wealth from her 2019 divorce from Bezos, but is dedicated to giving away most of her fortune. She’s considered a unique philanthropist in today’s environment because her gifts are typically unrestricted, meaning the organizations can use the funding however they choose. 

“She practices trust-based philanthropy,” Anne Marie Dougherty, CEO of the Bob Woodruff Foundation previously told Fortune. Scott has donated $15 million to the veteran-focused nonprofit organization in 2022, and made a subsequent $20 million donation this fall.

Scott is also considered one of the most generous philanthropists, and credits acts of kindness for inspiring her to give back.

“It was the local dentist who offered me free dental work when he saw me securing a broken tooth with denture glue in college,” Scott wrote of her inspiration for philanthropy in an Oct. 15 essay published to her Yield Giving site. “It was the college roommate who found me crying, and acted on her urge to loan me a thousand dollars to keep me from having to drop out in my sophomore year.”



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