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Inside the new open-source AI that helps anyone track a changing planet

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Welcome to Eye on AI, with AI reporter Sharon Goldman in for Jeremy Kahn, who is traveling. In this edition…a new open-source AI platform helps nonprofits and public agencies track a changing planet…Getty Images narrowly wins, but mostly loses in landmark UK lawsuit against Stability AI’s image generator…Anthropic is projecting $70 billion in revenue…China offers tech giants cheap power to boost domestic AI chips...Amazon employees push back on company’s AI expansion.

I’m excited to share an “AI for good” story in today’s Eye on AI: Imagine if conservation groups, scientists, and local governments could easily use AI to take on challenges like deforestation, crop failure, or wildfire risk, with no AI expertise at all. 

Until now, that’s been out of reach—requiring enormous, inaccessible datasets, major budgets, and specialized AI know-how that most nonprofits and public agencies lack. Platforms like Google Earth AI, released earlier this year, and other proprietary systems have shown what’s possible when you combine satellite data with AI, but those are closed systems that require access to cloud infrastructure and developer know-how. 

That’s now changing with OlmoEarth, a new open-source, no-code platform that runs powerful AI models trained on millions of Earth observations—from satellites, radar, and environmental sensors, including open data from NASA, NOAA, and the European Space Agency—to analyze and predict planetary changes in real time. It was developed by Ai2, the Allen Institute for AI, a Seattle-based nonprofit research lab founded in 2014 by the late Microsoft co-founder Paul Allen.

Early partners are already putting OlmoEarth to work: In Kenya, researchers are mapping crops to help farmers and officials strengthen food security. In the Amazon, conservationists are spotting deforestation in near real time. And in mangrove regions, early tests show 97% accuracy—cutting processing time in half and helping governments act faster to protect fragile coastlines.

I spoke with Patrick Beukema, who heads the Ai2 team that built OlmoEarth, a project that kicked off earlier this year. Beukema said the goal was to go beyond just releasing a powerful model. Many organizations struggle to connect raw satellite and sensor data into usable AI systems, so Ai2 built OlmoEarth as a full, end-to-end platform.

“Organizations find it extremely challenging to build the pipelines from all these satellites and sensors, just even basic things are very difficult to do–a model might need to connect to 40 different channels from three different satellites,” he explained. “We’re just trying to democratize access for these organizations who work on these really important problems and super important missions–we think that technology should basically be publicly available and easy to use.” 

One concrete example Beukema gave me was around assessing wildfire risk. A key variable in wildfire risk assessment is how wet the forest is, since that determines how flammable it is. “Currently, what people do is go out into the forest and collect sticks or logs and weigh them pre-and-post dehydrating them, to get one single measurement of how wet it is at the location,” he said. “Park rangers do this work, but it’s extremely expensive and arduous to do.” 

With OlmoEarth, AI can now estimate that forest moisture from space: The team trained the model using years of expert field data from forest and wildfire managers, pairing those ground measurements with satellite observations from dozens of channels—including radar, infrared, and optical imagery. Over time, the model learned to predict how wet or dry an area is just by analyzing that mix of signals.

Once trained, it can continuously map moisture levels across entire regions, updating as new satellite data arrives—and do it millions of times more cheaply than traditional methods. The result: near real-time wildfire-risk maps that can help planners and rangers act faster.

“Hopefully this helps the folks on the front lines doing this important work,” said Beukema. “That’s our goal.” 

With that, here’s more AI news.

Sharon Goldman
sharon.goldman@fortune.com
@sharongoldman

If you want to learn more about how AI can help your company to succeed and hear from industry leaders on where this technology is heading, I hope you’ll consider joining Jeremy and I at Fortune Brainstorm AI San Francisco on Dec. 8–9. Among the speakers confirmed to appear so far are Google Cloud chief Thomas Kurian, Intuit CEO Sasan Goodarzi, Databricks CEO Ali Ghodsi, Glean CEO Arvind Jain, Amazon’s Panos Panay, and many more. Register now.

FORTUNE ON AI

Palantir quarterly revenue hits $1.2B, but shares slip after massive rally– by Jessica Mathews

Amazon says its AI shopping assistant Rufus is so effective it’s on pace to pull in an extra $10 billion in sales – by Dave Smith

Sam Altman sometimes wishes OpenAI were public so haters could short the stock—‘I would love to see them get burned on that’ – by Marco Quiroz-Guitierrez

AI empowers criminals to launch ‘customized attacks at scale’—but could also help firms fortify their defenses, say tech industry leaders – by Angelica Ang

AI IN THE NEWS

Getty Images mostly loses landmark UK lawsuit against Stability AI image generator. Reuters reported today that a London court ruled that Getty only narrowly succeeded, but mostly lost, in its case against Stability AI, finding that Stable Diffusion infringed Getty’s trademarks by reproducing its watermark in AI-generated images. But the judge dismissed Getty’s broader copyright claims, saying Stable Diffusion “does not store or reproduce any copyright works”—a technical distinction that lawyers said exposes gaps in the U.K.’s copyright protections. The mixed verdict leaves unresolved the central question of whether training AI models on copyrighted data constitutes infringement, an outcome that both companies claimed as a partial victory. Getty said it plans to use the ruling to bolster its parallel lawsuit in the U.S., while calling on governments to strengthen transparency and intellectual property rules for AI.

Anthropic projects $70 billion in revenue, $17 billion in cash flow in 2028. Anthropic, maker of the Claude chatbot, is projecting explosive growth—forecasting as much as $70 billion in revenue by 2028, up from about $5 billion this year, according to The Information. The company expects most of that growth to come from businesses using its AI models through an API—revenue it predicts will roughly double OpenAI’s comparable sales next year. Unlike ChatGPT-maker OpenAI, which is burning billions on computing costs, Anthropic expects to be cash-flow positive by 2027 and generate up to $17 billion in cash the following year. Those numbers could help it target a valuation between $300 billion and $400 billion in its next funding round—positioning the four-year-old startup as a financially efficient challenger to OpenAI’s dominance.

China offers tech giants cheap power to boost domestic AI chips. According to the Financial TimesChina is ramping up subsidies for its biggest data centers—cutting electricity bills by as much as 50% for facilities powered by domestic AI chips—in a bid to reduce reliance on Nvidia and strengthen its homegrown semiconductor industry, according to the Financial Times. Local governments in provinces like Gansu, Guizhou, and Inner Mongolia are offering new incentives after tech giants including ByteDance, Alibaba, and Tencent complained that Chinese chips from Huawei and Cambricon were less energy-efficient and costlier to run. The move underscores Beijing’s push to make its AI infrastructure self-sufficient, even as the country’s data center power demand surges and domestic chips still require 30–50% more electricity than Nvidia’s.

Amazon employees push back on company’s AI expansion. Last week, a group of Amazon employees published an open letter warning that the company’s “warp-speed” push into artificial intelligence is coming at the expense of climate goals, worker protections, and democratic accountability. The signatories—who say they help build and deploy Amazon’s AI systems—argue that the company’s planned $150 billion data center expansion will increase carbon emissions and water use, particularly in drought-prone regions, even as it continues supplying cloud tools to oil and gas companies. They also criticize Amazon’s growing ties to government surveillance and military contracts, and claim that internal AI initiatives are accelerating automation without supporting worker advancement. The group is calling for three commitments: no AI powered by dirty energy, no AI built without employee input, and no AI for violence or mass surveillance.

AI CALENDAR

Nov. 10-13: Web Summit, Lisbon. 

Nov. 26-27: World AI Congress, London.

Dec. 2-7: NeurIPS, San Diego

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

EYE ON AI RESEARCH

What if large AI models could read each other’s minds instead of chatting in text? That’s the idea behind a new paper from researchers at CMU, Meta AI, and MBZUAI called Thought Communication in Multiagent Collaboration. The team proposes a system called ThoughtComm, which lets AI agents share their latent “thoughts”—the hidden representations behind their reasoning—rather than just exchanging words or tokens. To do that, they use a sparsity-regularized autoencoder, a kind of neural network that compresses complex information into a smaller set of the most important features, helping reveal which “thoughts” truly matter. By learning which ideas agents share and which they keep private, this framework allows them to coordinate and reason together more efficiently—hinting at a future where AIs collaborate not by talking, but by “thinking” in sync.

BRAIN FOOD

How AI companies may be quietly training on paywalled journalism

I wanted to highlight a new Atlantic investigation by staff writer Alex Reisner, which exposes how Common Crawl, a nonprofit that scrapes billions of web pages to build a free internet archive, may have become a back door for AI training on paywalled content. Reisner reports that despite Common Crawl’s public claim that it avoids content behind paywalls, its datasets include full articles from major news outlets—and those articles have ended up in the training data for thousands of AI models.

Common Crawl maintains that it is doing nothing wrong. When pressed on publishers’ requests to remove their content, Common Crawl’s director, Rich Skrenta, brushed off the complaints, saying: “You shouldn’t have put your content on the internet if you didn’t want it to be on the internet.” Skrenta, who told Reisner he views the archive as a kind of digital time capsule—“a crystal cube on the moon”—sees it as a record of civilization’s knowledge. But no matter what, it certainly highlights the ever-growing tension between AI’s hunger for data and the journalism industry’s fight over copyright. 

Fortune Brainstorm AI returns to San Francisco Dec. 8–9 to convene the smartest people we know—technologists, entrepreneurs, Fortune Global 500 executives, investors, policymakers, and the brilliant minds in between—to explore and interrogate the most pressing questions about AI at another pivotal moment. Register here.



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Americans are paying nearly all of the tariff burden as international exports die down, study finds

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After nearly a year of promises tariffs would boost the U.S. economy while other countries footed the bill, a new study shows almost all of the tariff burden is falling on American consumers. 

Americans are paying 96% of the costs of tariffs as prices for goods rise, according to research published Monday by the Kiel Institute for the World Economy, a German think tank. 

In April 2025 when President Donald Trump announced his “Liberation Day” tariffs, he claimed: “For decades, our country has been looted, pillaged, raped, and plundered by nations near and far, both friend and foe alike.” But the report suggests tariffs have actually cost Americans more money.

Trump has long used tariffs as leverage in non-trade political disputes. Over the weekend, Trump renewed his trade war in Europe after Denmark, Norway, Sweden, France, Germany, the United Kingdom, the Netherlands, and Finland sent troops for training exercises in Greenland. The countries will be hit with a 10% tariff starting on Feb. 1 that is set to rise to 25% on June 1, if a deal for the U.S. to buy Greenland is not reached. 

On Monday, Trump threatened a 200% tariff on French wine, after French President Emmanuel Macron refused to join Trump’s “Board of Peace” for Gaza, which has a $1 billion buy-in for permanent membership. 

“The claim that foreign countries pay these tariffs is a myth,” wrote Julian Hinz, research director at the Kiel Institute and an author of the study. “The data show the opposite: Americans are footing the bill.” 

The research shows export prices stayed the same, but the volume has collapsed. After imposing a 50% tariff on India in August, exports to the U.S. dropped 18% to 24%, compared to the European Union, Canada, and Australia. Exporters are redirecting sales to other markets, so they don’t need to cut sales or prices, according to the study.

“There is no such thing as foreigners transferring wealth to the U.S. in the form of tariffs,” Hinz told The Wall Street Journal

For the study, Hinz and his team analyzed more than 25 million shipment records between January 2024 through November 2025 that were worth nearly $4 trillion.They found exporters absorbed just 4% of the tariff burden and American importers are largely passing on the costs to consumers. 

Tariffs have increased customs revenue by $200 billion, but nearly all of that comes from American consumers. The study’s authors likened this to a consumption tax as wealth transfers from consumers and businesses to the U.S. Treasury.   

Trump has also repeatedly claimed tariffs would boost American manufacturing, butthe economy has shown declines in manufacturing jobs every month since April 2025, losing 60,000 manufacturing jobs between Liberation Day and November. 

The Supreme Court was expected to rule as soon as today on whether Trump’s use of emergency powers to levy tariffs under the International Emergency Economic Powers Act was legal. The court initially announced they planned to rule last week and gave no explanation for the delay. 

Although justices appeared skeptical of the administration’s authority during oral arguments in November, economists predict the Trump administration will find alternative ways to keep the tariffs.



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Selling America is a ‘dangerous bet,’ UBS CEO warns as markets panic

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Investors are “selling America” in spades Tuesday: The 10-year Treasury yield is at its highest point since August; the U.S. dollar slid; and the traditional safe-haven metal investments—gold and silver—surged once again to record highs.

The CEO of UBS Group, the world’s largest private bank, thinks this market is making a “dangerous bet.”

“Diversifying away from America is impossible,” UBS Group CEO Sergio Ermotti told Bloomberg in a television interview at the World Economic Forum in Davos, Switzerland, on Tuesday. “Things can change rapidly, and the U.S. is the strongest economy in the world, the one who has the highest level of innovation right now.” 

The catalyst for the selloff was fresh escalation from U.S. President Donald Trump, who has threatened a 10% tariff on eight European allies—including Germany, France, and the U.K.—unless they cede to his demands to acquire Greenland.

Trump also threatened a 200% tariff on French wine and Champagne to pressure French President Emmanuel Macron to join his Board of Peace. Trump’s favorite “Mr. Tariff” is back, and bond investors are unhappy with the volatility.

But if investors keep getting caught up in the volatility of day-to-day politics and shun the U.S., they’ll miss the forest for the trees, Ermotti argued. While admitting the current environment is “bumpy,” he pointed to a statistic: Last year alone, the U.S. created 25 million new millionaires. For a wealth manager like UBS, that is 1,000 new millionaires a day. To shun that level of innovation in U.S. equities for gold would be a reactionary move that ignores the long-term innovation of the U.S. economy. 

“We see two big levers: First of all, wealth creation, GDP growth, innovation, and also more idiosyncratic to UBS is that we see potential for us to become more present, increase our market share,” Ermotti said. 

But if something doesn’t give in the standoff between the European Union and Trump, there could be potential further de-dollarization, this time, from Europe selling its U.S. bonds, George Saravelos, head of FX research at Deutsche Bank, wrote in a note Sunday. Indeed, on Tuesday, Danish pension funds sold $100 million in U.S. Treasuries, allegedly owing to “poor” U.S. finances, though the pension fund’s chief said of the debacle over Greenland: “Of course, that didn’t make it more difficult to take the decision.” 

Europe owns twice as many U.S. bonds and equities as the rest of the world combined. If the rest of Europe follows Denmark’s lead, that could be an $8 trillion market at risk, Saravelos argued. 

“In an environment where the geo-economic stability of the Western alliance is being disrupted existentially, it is not clear why Europeans would be as willing to play this part,” he wrote. 

Back in the U.S., the markets also sold off as the Nasdaq and S&P both fell 2% Tuesday, already shedding the entirety of Greenland’s value on Trump’s threats, University of Michigan economist Justin Wolfers noted. Analysts and investors are uneasy, given the history of Trump declaring a stark tariff before negotiating with the country to take it down, also known as the “TACO”—Trump always chickens out—effect. Investors have been “burnt before by overreacting to tariff threats,” Jim Reid of Deutsche Bank noted. That’s a similar stance to the UBS bank chief: If you react too much to headlines, you’ll miss the great innovation that’s pushed the stock market to record highs for the past three years.

“I wouldn’t really bet against the U.S.,” he said.



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Trump added $2.25 trillion to the national debt in his first year back in charge, watchdog says

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Trump’s first year back in the White House closed with the U.S. national debt roughly $2.25 trillion higher than when he retook the oath of office, showing how fast Washington’s red ink is piling up even amid DOGE hype and promises to pay it down. Over the calendar year 2025, the growth in the national debt was even higher, some $2.29 trillion.

The acceleration in borrowing, with the national debt standing at $38.4 trillion and growing as of January 9, is sharpening warnings from budget watchdogs and Wall Street alike that the country’s fiscal path is becoming a growing vulnerability for the economy.​ The total national debt has grown by $71,884.09 per second for the past year, according to Congressman David Schweikert’s Daily Debt Monitor.

Over the 12 months from the close of trading on Jan. 17, 2025, to the end of day Jan. 15, 2026, the federal government added approximately $2.25 trillion to the national debt, according to calculations shared exclusively with Fortune by the Peter G. Peterson Foundation. That period roughly captures President Donald Trump’s first year back in office, as it is the last business day before last year’s Inauguration Day and the most recent day for which data are available. The jump from $37 trillion to $38 trillion in just two months between August and October was particularly notable, with the Peterson Foundation calculating at the time that it was the fastest rate of growth outside the pandemic. Michael A. Peterson, CEO of the nonpartisan watchdog dedicated to fiscal sustainability, told Fortune at the time that “if it seems like we are adding debt faster than ever, that’s because we are.”

As for how these figures compare to recent presidencies, the Peterson Foundation provided calculations (below) for each calendar year over the last quarter-century, revealing that President Joe Biden owns the highest year of national debt growth outside the pandemic, with almost $2.6 trillion in 2023. President Trump far and away holds the record, with nearly $4.6 trillion of national-debt growth occurring during the pandemic year of 2020, when massive federal spending occurred in the form of economic relief measures.

Trump and Biden together own the top five highest-debt-incurring years, two for Trump and three for Biden, across five of the last six years. While the figures are not adjusted for inflation, by and large, Trump and Biden have roughly doubled the rate of debt accumulation under President Barack Obama and tripled, even quadrupled the rate of growth under President George W. Bush, depending on which term you’re looking at. To be sure, both Bush and Obama presided over the aftermath of the Great Recession of 2008, with experts still debating whether their fiscal responses were large enough.

Interest costs explode

The surge in debt is landing just as interest costs on that debt become one of Washington’s fastest‑growing expenses. The specific line item for net interest in the federal budget totaled $970 billion for fiscal year 2025, but the Congressional Budget Office (CBO) calculated that, including spending for net interest payments on the public debt, this broke the $1 trillion barrier for the first time. The Committee for a Responsible Federal Budget, another nonpartisan watchdog, projects $1 trillion per year in interest payments from here on out.

Trump has repeatedly argued that his ambitious tariff program will be enough to tame the debt burden, casting duties on imports as a kind of magic revenue source for Washington. Treasury data show tariffs are bringing in significantly more money than before—likely in the $300 billion to $400 billion‑a‑year range—but even optimistic projections suggest those sums only cover a fraction of annual interest costs and an even smaller slice of total federal spending.​ As Trump retreated from many of his tariff threats—before the January 2026 spike that he threatened in relation to his desire for U.S. possession of Greenland—the CBO calculated that $800 billion of projected deficit reduction had also vanished.

At the same time, the administration has promised to share some of that tariff revenue directly with households through a proposed $2,000 “dividend” for every American, a pledge that independent analysts estimate could cost around $600 billion per year and further widen the deficit unless offset elsewhere. Economists say that the combination—more borrowing, high interest rates, and new permanent commitments—risks locking in structural deficits that keep the debt rising faster than the overall economy.​

Markets and America’s ‘Achilles’ heel’

Financial markets are taking notice. As Washington auctions hundreds of billions of dollars in new Treasury securities each week, yields on longer‑term notes and bonds have moved higher, reflecting both tighter monetary conditions and investor unease about the sheer volume of U.S. borrowing. Recent analysis from Deutsche Bank and others has described America’s mounting debt load as an “Achilles heel” that could leave the dollar and broader economy more vulnerable to shocks, particularly as geopolitical tensions and tariff fights escalate.​

Those worries are amplified by the prospect of future recessions or emergencies that could force the government to borrow even more heavily on top of today’s already‑elevated baseline. Rating agencies and international lenders have not sounded any immediate alarm about U.S. solvency, but they have increasingly highlighted fiscal risks in their outlooks, pointing to widening deficits and a political system that has struggled to impose discipline.​

Voters are paying attention

If there is one thing Americans still broadly agree on, it is that the debt problem matters. Recent polling sponsored by the Peterson Foundation found that roughly 82% of voters say the national debt is an important issue for the country, even as they remain divided over which programs to cut or taxes to raise.

Trump first won office vowing to erase the national debt over time; a decade later, after his return to power, that figure has instead climbed to record highs. As the administration prepares for another year of governing—and another season of fiscal showdowns on Capitol Hill—the question is shifting from whether the debt is growing too fast to how long the world’s largest economy can keep outrunning its own balance sheet.

For this story, Fortune journalists used generative AI as a research tool. An editor verified the accuracy of the information before publishing.



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