Business
Column: The AI industry has a battle-tested plan to keep using our content without paying for it
This time in 2023, the world was in thrall to the rise of OpenAI’s dazzling chatbot. ChatGPT was metastasizing like a fungal infection, amassing tens of millions of users a month. Multibillion-dollar partnerships materialized, and investments poured in. Big Tech joined the party. AI image generators like Midjourney took flight.
Just a year later, the mood has darkened. The surprise sacking and rapid reinstatement of OpenAI Chief Executive Sam Altman gave the company an embarrassing emperor-has-no-clothes moment. Profits are scarce across the sector, and computing costs are sky high. But one issue looms large above all and threatens to bring the fledgling industry back to earth: Copyright.
The legal complaints that cropped up throughout last year have grown into a thundering chorus, and the tech companies say they now present an existential threat to generative AI (the kind that can produce writing, pictures, music and so on). If 2023 was the year the world marveled at AI content generators, 2024 may be the year that the humans who created the raw materials that made that content possible get their revenge — and maybe even claw back some of the value built on their work.
In the last days of December, the New York Times filed a bombshell lawsuit against Microsoft and OpenAI, alleging that “millions of its articles were used to train automated chatbots that now compete with the news outlet as a source of reliable information.” The Times’ lawsuit joins a host of others — class-action lawsuits filed by illustrators, by the photo service Getty Images, by George R.R. Martin and the Author’s Guild, by anonymous social media users, to name a few — all alleging that companies that stand to profit from generative AI used the work of writers, reporters, artists and others without consent or compensation, infringing on their copyrights in the process.
Our experiments make it all but certain that these systems are in fact training on copyrighted material.
— Cognitive scientist Gary Marcus
Each of these lawsuits have their merits, but the Gray Lady’s entrance into the arena changes the game. For one thing, the Times is influential in shaping national narratives. For another, the Times lawsuit is uniquely damning; it’s loaded with example after example of how ChatGPT replicates news articles nearly verbatim, and offers the responses to its paying customers, free of attribution.
It’s not just the lawsuits: The heat is getting turned up by Congress, researchers and AI experts too. On Wednesday, a congressional hearing saw senators and media industry representatives agree that AI companies should pay licensing fees for the material they use to train their models. “It’s not only morally right,” said Sen. Richard Blumenthal (D.-Conn.), who chairs the subcommittee that held the hearing, according to Wired. “It’s legally required.”
Meanwhile, a fiery study recently published in IEEE Spectrum, co-written by the cognitive scientist and AI expert Gary Marcus and the film industry veteran Reid Southern, shows that Midjourney and Dall-E, two of the leading AI image generators, were trained on copyrighted material, and can regurgitate that material at will — often without even being prompted to.
“Our experiments make it all but certain that these systems are in fact training on copyrighted material,” Marcus told me, something that the companies have been coy about copping to explicitly. “The companies have been far from straightforward in what they’re using, so it was important to establish that they are using copyrighted materials.” Also important: that the copyright-infringing works come spilling out of the systems with little prodding. “You don’t need to prompt it, to say ‘make C3P0’ — you can just say ‘draw golden droid.’ Or ‘Italian plumber’ — it will just draw Mario.”
This has serious implications for anyone using the systems in a commercial capacity. “The companies whose properties are infringed — Mattel, Nintendo — are going to take an interest in this,” Marcus says. “But the user is left vulnerable too — There’s nothing in the output that says what the sources are. In fact the software isn’t capable of doing that in a reliable way. So the users are on the hook and have no clue as to whether it’s infringing or not.”
There’s also a sense of momentum that’s beginning to build behind the simple notion that creators should be compensated for work that’s being used by AI companies valued at billions or tens of billions — or hundreds of billions of dollars, as Google and Microsoft are. The notion that generative AI systems are at root “plagiarism machines” has become increasingly widespread among their critics, and social media is teeming with opprobrium against AI.
But those AI companies aren’t likely to relent. We saw a foreshadowing of how the AI companies would respond to copyright concerns at large last year, when famed venture capitalist and AI evangelist Marc Andreessen’s firm argued that AI companies would go broke if they had to pay copyright royalties or licensing fees. Just this week, British media outlets reported that OpenAI has made the same case, seeking an exemption from copyright rules in England, claiming that the company simply couldn’t operate without ingesting copyrighted materials.
What can they do about it?
First, they’re pleading poverty. There’s just too much material out there to compensate everyone who contributed to making their system work and to making their valuation go through the roof. “Poor little rich company that’s valued at $100 billion can’t afford it,” Marcus says. “I don’t know how well that’s going to wash, but that’s what they’re arguing.”
The AI companies also argue what they’re doing falls under the legal doctrine of fair use — probably the strongest argument they’ve got — because it’s transformative. This argument helped Google win in court against the big book publishers when it was copying books into its massive Google Books database, and defeat claims that YouTube was profiting by allowing users to host and promulgate unlicensed material.
Next, the AI companies argue that copyright-violating outputs like those uncovered by Marcus, Southern and the New York Times are rare or are bugs that are going to be patched.
“They say, ‘Well this doesn’t happen very much. You need to do special prompting.’ But the things we asked it were pretty neutral — and we still got” copyrighted material, Marcus says. “This is not a minor side issue — this is how the systems are built. It is existential for these companies to be able to use this amount of data.”
Finally, aside from just making arguments in court and in statements, the AI companies are going to use their ample resources to lobby behind the scenes and throw their power around to help make their case.
Again, the generative AI industry isn’t making much money yet — last year was essentially one massive product demo to hype up the technology. And it worked: The investment dollars did pour in. But that doesn’t mean the AI companies have figured out ways to build a sustainable business model. They’re already operating under the assumption that they will not pay for things such as training materials, licenses or artists’ labor.
Of course, it is in no way true that the likes of Google, Microsoft, or even OpenAI cannot afford to pay to use copyrighted works — but Silicon Valley is at this point used to cutting labor and the cost of creative works out of the equation, and has little reason to think it would not be able to do so again. From Uber to Spotify, the business models of many of this century’s biggest tech companies have been built on the assumption that labor costs could be cut out or minimized. And when creative industries argued that YouTube allowed pirated and unlicensed materials to proliferate at the workers’ expense, and backed the Stop Online Piracy Act (SOPA) to fight it, Google was instrumental in stopping the bill, organizing rallies and online campaigns, and lobbying lawmakers to jump ship.
William Fitzgerald, a partner at the Worker Agency and former member of the public policy team at Google, tells me he sees a similar pressure campaign taking shape to fight the copyright cases, one modeled on the playbook Google has used successfully in the past: Marshaling third-party groups and organs such as the Chamber of Progress to push the idea that using copyrighted works for generative AI is not just fair use, but something that’s being embraced by artists themselves, not all of whom are so hung up on things like wanting to be paid for their work. He points to a pro-generative AI open letter signed by AI artists, that was, according to one of the artists involved, organized by Derek Slater, a former Google policy director whose firm works with Google — the same person who took credit for organizing the anti-SOPA efforts. Fitzgerald also sees Google’s fingerprints on Creative Commons’ embrace of the argument that AI art is fair use, as Google is a major funder of the organization.
“It’s worrisome to see Google deploy the same lobbying tactics they’ve developed over the years to ensure workers don’t get paid fairly for their labor,” Fitzgerald said. And OpenAI is close behind. It is not only taking a similar approach to heading off copyright complaints as Google, but it’s also hiring the same people: It hired Fred Von Lohmann, Google’s former director of copyright policy, as its top copyright lawyer.
“It appears OpenAI is replicating Google’s lobbying playbook,” he says. “They’ve hired former Google advocates to affect the same playbook that’s been so successful for Google for decades now.”
Things are different this time, however. There was real grassroots animosity against SOPA, which was seen at the time as engineered by Hollywood and the music industry; Silicon Valley was still widely beloved as a benevolent inventor of the future, and many didn’t see how having an artist’s work uploaded to a video platform owned by the good guys on the internet might be detrimental to their economic interests. (Though many did!)
Now, however, workers in the digital world are better prepared. Everyone from Hollywood screenwriters to freelance illustrators to part-time copywriters to full-time coders can recognize the potential material effect of a generative AI system that can ingest their work, replicate it, and offer it to users for a monthly fee — paid to a Silicon Valley corporation, not them.
“It’s asking for an enormous giveaway,” Marcus says. “It’s the equivalent of a major land grab.”
Now, there are many in Silicon Valley who are of course genuinely excited about the potential of AI, and many others who are genuinely oblivious to matters of political economy; who want to see the gains made as quickly as possible, and do not realize how these work-automating systems will be used in practice. Others may simply not care. But for those who do, Marcus says there’s a simple way forward.
“There’s an obvious alternative here — OpenAI’s saying that we need all this or we can’t build AI — but they could pay for it!” We want a world with artists and with writers, after all, he adds, one that rewards artistic work — not one where all the money goes to the top because a handful of tech companies won a digital land grab.
“It’s up to workers everywhere to see this for what it is, get organized, educate lawmakers and fight to get paid fairly for their labor,” Fitzgerald says. “Because if they don’t, Google and OpenAI will continue to profit from other people’s labor and content for a long time to come.”

Business
Commentary: MAHA report's misrepresentations will harm public health and hit consumers' pocketbooks

Serious followers of healthcare policy in the U.S. didn’t expect much good to emerge from its takeover by Donald Trump and his secretary of Health and Human Services, the anti-vaccine activist Robert F. Kennedy Jr.
But the agency and its leadership managed to live down to the worst expectations May 27, when HHS released a 73-page “assessment” of the health of America’s children titled “The MAHA Report” (for “Make America Healthy Again”).
A sloppier, more disingenuous government report would be hard to imagine. Whatever credibility the report might have had as a product of a federal agency was shattered by its obvious errors, misrepresentations and outright fabrications of source materials, some of it plainly the product of the authors’ reliance on AI bots.
I, and my co-authors, did not write that paper.
— Epidemiologist Katherine Keyes says a citation to her work by the MAHA report was fabricated
At least seven sources cited in the report do not exist, as Emily Kennard and Margaret Manto of the journalism organization NOTUS uncovered. HHS hastily reissued the report with some of those citations removed, but without disclosing the changes — an extremely unkosher action in the research community.
“I, and my co-authors, did not write that paper,” epidemiologist Katherine M. Keyes of Columbia told me by email, referring to a citation to a purported paper about anxiety among American adolescents resulting from the COVID pandemic. “It does make me concerned given that citation practices are an important part of conducting and reporting rigorous science.”
Keyes said she has done research on the topic at hand: “I would be happy to send this information to the MAHA committee to correct the report, although I have not yet received information on where to reach them,” she said.
We’ll go deeper into the fabrication fiasco in a moment. What’s important is its context: concerted attacks by Kennedy and his associates on the fundamentals of public health in America.
Those attacks have profound implications not only for Americans’ health, but on pocketbook issues and the U.S. economy generally. HHS bowed toward the latter issue by asserting in the report that the health profile of American children poses “a threat to our nation’s health, economy, and military readiness.”
As it happens, the recent actions at HHS and its subagencies, the Food and Drug Administration and the Centers for Disease Control and Prevention, increase those threats.
Take the agencies’ May 20 decision to remove COVID boosters from the CDC’s list of recommended vaccinations for healthy children and pregnant women. The decision opens the door for insurance companies to start charging full price for the shots, rather than covering them without copays as the law requires for preventive services.
That could mean out-of-pocket charges of $100 or more each booster, which could itself discourage families from getting vaccinated. This is a reminder of how family economics affect health.
The original version of RFK Jr.’s MAHA report cited this paper by Katherine Keyes and associates about adolescents’ pandemic-era mental health. The paper doesn’t exist; the citation to the Journal of the American Medical Assn. goes to a page saying it can’t be found. However …
(HHS)
The MAHA report attributes the rise in childhood obesity and diabetes in part to ultraprocessed foods, or UPFs. But it’s silent on what experts call the “social determinants of disease,” which are heavily related to economics. The report doesn’t mention “food deserts,” mostly low-income neighborhoods in which “children do not have access to anything other than UPFs, … or the cost of fresh food vs. the hyperpalatable and cheap UPFs,” observed the Delaware Academy of Medicine in its gloss on the report.

… after the fabrication was exposed, Heath and Human Services reissued the report, removing the citation without explanation.
(HHS)
And although the report mentions that safety net programs such as the Supplemental Nutrition Assistance Program — SNAP, or food stamps, school lunch and breakfast programs, and the Special Supplemental Nutrition Program for Women, Infants, and Children, or WIC, could play a role in promoting healthy eating, it doesn’t mention that those programs face severe budget cuts from the Trump White House.
Last month, HHS canceled nearly $800 million in grants to the pharmaceutical company Moderna for the development of a human vaccine against bird flu, part of a Biden administration effort to prepare for possible future pandemics, the potential social and economic impact of which should be self-evident, given our experience with COVID. Bird flu already has devastated the dairy and poultry industries in many regions and sickened dozens of farmworkers.
There was some hope in the research community that sound science might still live at HHS because some HHS appointees had scientific or medical credentials that Kennedy lacked. Those hopes get dashed on a regular basis.
On Sunday, for instance, FDA Commissioner Marty Makary — a former professor of medicine at Johns Hopkins — was reduced to incoherence when CBS’ “Face the Nation” moderator Margaret Brennan reminded him that on May 20 he co-authored a report in the New England Journal of Medicine that identified pregnancy as factor increasing the risk of “severe COVID-19” — warranting that pregnant women get the vaccine.
“Yet seven days later,” Brennan said, Makary joined with Kennedy in a video announcement recommending against giving pregnant women the booster. “So what changed in the seven days?” Makary argued that only 12% of pregnant women got the shot last year, “so people have serious concerns.”
What he didn’t say was that those concerns have been ginned up by FDA critics — including Makary — and vaccine opponents, even though clinical trials involving tens of thousands of subjects have validated the recommendation that pregnant women get the vaccine.
That brings us back to the MAHA report.
Let’s start with its core assertion — that “today’s children are the sickest generation in American history.” As soon as the report was issued, this trope was picked up uncritically by the news media, before the report’s citation errors were discovered. But it’s undoubtedly wrong, the product of cherry-picking official statistics and ignoring what they really say.
An attack on childhood vaccination gets a subject heading all its own in this report, which asserts that the number of recommended vaccines for children by 1 year of age has increased from three in 1986 to 29 now, including vaccines for pregnant mothers.
Pediatrician Vincent Iannelli has ably punctured this claim, which he identifies as anti-vax “propaganda.”
The report reaches its count of 29 by including some vaccines given to children older than 1 year and double-counting shots such as the RSV vaccine, given to either the mother or the infant, not both. An honest count would be as few as 17, not all of which are injections. The report also counts combination vaccines such as MMR and TDaP as three shots rather than one.
In pushing the “sickest generation” trope, the report glides over the heath threats faced by children — and adults — before vaccines were available for specific diseases. In the U.S., measles cases averaged more than 530,000 per year throughout the 20th century; as of 2023, the average was 47, according to the CDC.
Mumps fell from more than 162,000 cases annually to 429 and rubella from nearly 48,000 to three. Whooping cough, or pertussis, fell from nearly 201,000 cases to 5,611. And polio, the fearsome nemesis of American families in the 1950s, from 16,300 to zero.
One can trace the “sickness” of children in bygone generations through child mortality statistics. In 1900, the average life expectancy of a 1-year-old in the U.S. was about 56 years; that bespeaks a morbid population of infants. In 1950 it was still only about 70. Now it’s 79.
For all that the MAHA report purports to identify the leading health threats to America’s kids — processed foods, environmental chemicals, vaccines — it totally ignores what we know to be the single biggest cause of childhood mortality in the U.S.: firearms.
The CDC has reported that in 2021, firearm injuries killed 2,571 children. That rate of 3.7 deaths per 100,000 children aged 17 and younger was an increase of 68% since 2000. The firearm death rate of 6.01 per 100,000 children aged 1-19 was 10 times the rate in Canada and 20 times the rates in France and Switzerland. Why the silence in the MAHA report? What does that say about how far you should trust the MAHA team at HHS?
As for the multiple false citations in the report, they point to the sheer irresponsibility of a federal agency’s outsourcing of research to AI.
I asked HHS for an explanation of how these errors got into the MAHA report, but I received no reply. White House spokeswoman Karoline Leavitt, however, responded to a reporter’s question about the fiasco by claiming there were “formatting issues” with the report.
Her excuse made me laugh, because it was the same excuse offered by the big law firm Latham and Watkins when it was caught submitting AI fabrications to a judge as part of a legal filing, as I reported recently. In neither case did the excuses explain how “formatting issues,” whatever that means, resulted in the fabrication of source citations.
HHS attributes the report to a 14-member “Make America Healthy Again” commission, composed mostly of cabinet members and other officials with no responsibility for or expertise in public health, such as the secretaries of Housing and Urban Development, Education, Agriculture and Veterans Affairs and directors of White House budget and economic offices. Makary and Bhattacharya are on the panel. They lent their names and reputations to this product, much to their discredit.
But it’s unclear about who actually put pen to paper. Some of its language can be traced back to Kennedy’s own words. The report’s assertion that “today’s children are the sickest generation in American history” was picked up and amplified by media coverage of the report’s release, even though it’s not supported by the facts. It is a verbatim echo of a claim Kennedy has made repeatedly, however, mostly as a plank in his anti-vaccination platform. It was part of the title of a book his anti-vaccine organization, Children’s Health Defense, issued in 2018 (“The Sickest Generation”).
The most frightening aspect of the MAHA report is that it’s likely to be the blueprint for a comprehensive attack on public health; scarier in that news media and political leaders are citing it as though it has scientific value. It’s so infected with falsehoods, misrepresentations and ideological blinkers that it will only subject the health of American children to the greatest risk they’ve faced in, yes, American history.
Business
Disney to cut hundreds of employees in latest round of layoffs

Walt Disney Co. launched another deep round of layoffs on Monday, notifying several hundred Disney employees in the U.S. and abroad that their jobs were being eliminated amid an increasingly difficult economic environment for traditional television.
People close to the Burbank entertainment giant confirmed the cuts, which are hitting film and television marketing teams, television publicity, casting and development as well as corporate financial operations.
The move comes just three months after the company axed 200 workers, including at ABC News in New York and Disney-owned entertainment networks. At the time, the division said it was trimming its staff by 6% amid shrinking TV ratings and revenue.
Disney declined to specify how many workers were losing their jobs. The cutbacks — the fourth round of layoffs in less than a year — come after Disney Chief Executive Bob Iger acknowledged to Wall Street that Disney had been pumping out too many shows and movies to compete against Netflix.
The programming buildup accelerated as the company prepared to launch Disney+ in late 2019, and it bulked up its staff to handle the more robust pipeline.
But the company has since retrenched, recognizing the need to focus on creating high-quality originals that meet Disney’s once lofty standards.
Disney has faced significant budget pressures after promising investors that its direct-to-consumer services — Disney+, Hulu and ESPN+ — would achieve profitability last year. The company lost billions of dollars over several years in its strategic shift to streaming, but it reached its goal to make money on streaming last fall.
Still, streaming subscribers can be fickle, creating a daunting new reality for the company that could long count on cable TV subscriptions as one of its most reliable economic pillars. Cord-cutting has taken a heavy toll.
The entertainment giant — one of Southern California’s largest private sector employers — has eliminated more than 7,000 jobs since 2023.
The traditional TV and film units felt the brunt of the downsizing during the last year. In July, the company slashed about 140 workers, primarily in its Disney entertainment unit. The company’s TV stations also lost staff members and ABC News shed about 40 employees last October.
ABC News largely escaped this week’s cuts, according to one knowledgeable person who was not authorized to discuss the internal moves.
ABC News still boasts healthy audiences for its newscasts, but the ABC television network and Disney-owned entertainment channels have seen dramatic viewer defections as consumers switch to streaming services, including Netflix, Paramount+ and Disney+.
ABC’s prime-time schedule has lost considerable steam. For the just-ended broadcast television season, ABC mustered only three shows in Nielsen’s top 20 rankings. “Monday Night Football on ABC” ranked seventh by averaging more than 10 million viewers, “Saturday Night Football” ranked 18th with 7.4 million viewers and freshman drama “High Potential” made the cut at 20th with an average audience of 7.1 million, according to Nielsen.
Monday’s eliminations come three weeks after Disney presented its fall lineup to advertisers, leaning heavily on its sports stars including Peyton and Eli Manning rather than actors from its entertainment programming.
ESPN was spared the ax as the sports unit is preparing for its high-stakes launch this fall of a stand-alone ESPN streaming service, the knowledgeable person said.
The move comes amid a strong run for Disney’s film studio, which has celebrated blockbuster box office results from its live-action “Lilo & Stitch,” which has earned $610 million in ticket sales globally, according to Box Office Mojo.
A month ago, Disney issued strong fiscal second-quarter earnings. The company reported $23.6 billion in revenue for the three months that ended March 29, a 7% increase compared with the same quarter a year earlier. Earnings before taxes totaled $3.1 billion, up $2.4 billion from last year.
Hollywood trade site Deadline first reported the news of the latest Disney cuts.
The landscape has been increasingly challenging for traditional companies. In addition to Disney, Warner Bros. Discovery, Paramount Global and even such tech companies as Amazon and Apple have fired workers.
In late May, NBCUniversal cut 54 jobs in Los Angeles, according to state employment records. Six Flags Entertainment Corp. laid off 140 workers.
Disney shares closed down 9 cents to $112.95.
Business
The Imports the U.S. Relies On Most From 140 Nations, From Albania to Zimbabwe

President Trump’s on-and-off tariffs have created deep uncertainty about the cost of imported goods — and it’s not always clear what goods will be most affected with any given country.
The largest U.S. imports from many countries are oil and gas, electronics, cars and pharmaceuticals. But there’s another way to look at what Americans import: trying to measure a country’s distinct contribution to the U.S.’s total needs.
For example, China’s largest exports to the U.S. — by dollar value — are electronics. But the U.S. also imports large quantities of electronics from elsewhere. Nearly 100 percent of imported baby carriages, however, come from China.
Switzerland, meanwhile, is responsible for nearly all of America’s imported precious metal watches. Ethiopia, on the other hand, sends the U.S. around 2 percent of its imported knit babies’ clothes — but that’s a larger share than for any other item it exports to the U.S.
The table below shows the item the U.S. relies on most from each of 140 trading partners. (We took out items that the U.S. also exports in large quantities, such as petroleum.)
What the U.S. is most reliant on from each country
COUNTRY | ITEM | Pct. of U.S. imports from here |
|
---|---|---|---|
Canada | Live pigs | >99% | |
Peru | Calcium phosphates | >99% | |
South Africa | Chromium ore | 98% | |
Switzerland | Precious metal watches | 98% | |
China | Baby carriages | 97% | |
Mexico | Self-propelled rail transport | 94% | |
Portugal | Natural cork articles | 93% | |
India | Synthetic reconstructed jewelry stones | 89% | |
Italy | Vermouth | 86% | |
Indonesia | Palm oil | 85% | |
Madagascar | Vanilla | 80% | |
Turkey | Retail artificial filament yarn | 79% | |
Brazil | Semi-finished iron | 76% | |
Vietnam | Coconuts, brazil nuts, and cashews | 75% | |
Australia | Sheep and goat meat | 74% | |
New Zealand | Misc. animal fats | 73% | |
Gabon | Manganese ore | 71% | |
Chile | Refined copper | 71% | |
Netherlands | Bulbs and roots | 70% | |
Spain | Olive oil | 62% | |
Taiwan | Tapioca | 62% | |
Argentina | Groundnut oil | 60% | |
Colombia | Cut flowers | 60% | |
Bolivia | Tungsten ore | 59% | |
Dominican Republic | Rolled tobacco | 59% | |
Cote d’Ivoire | Cocoa paste | 59% | |
Germany | Felt machinery | 58% | |
Finland | Cobalt oxides and hydroxides | 56% | |
Japan | Pianos | 52% | |
Israel | Phosphatic fertilizers | 50% | |
Philippines | Coconut oil | 50% | |
France | Insect resins | 50% | |
Thailand | Sugar preserved foods | 47% | |
Malaysia | Rubber apparel | 46% | |
Ireland | Sulfonamides | 45% | |
Pakistan | Light mixed woven cotton | 43% | |
Singapore | Glass with edge workings | 39% | |
Guatemala | Bananas | 38% | |
Ecuador | Cocoa beans | 38% | |
South Korea | Rubber inner tubes | 33% | |
Jamaica | Aluminum ore | 33% | |
Bangladesh | Non-knit babies’ garments | 31% | |
Austria | Handguns | 29% | |
United Kingdom | Antiques | 28% | |
Cambodia | Gum coated textile fabric | 25% | |
Nicaragua | Rolled tobacco | 24% | |
Guyana | Aluminum ore | 24% | |
Ukraine | Seed oils | 24% | |
Belgium | Flax woven fabric | 22% | |
Bahrain | Stranded aluminum wire | 22% | |
Sri Lanka | Coconut and other vegetable fibers | 21% | |
Morocco | Barium sulphate | 20% | |
Romania | Steel ingots | 19% | |
Norway | Carbides | 19% | |
Sweden | Stainless steel ingots | 17% | |
Costa Rica | Bananas | 16% | |
Honduras | Molasses | 16% | |
Paraguay | Wood charcoal | 16% | |
Denmark | Casein | 15% | |
Tunisia | Pure olive oil | 15% | |
Russia | Phosphatic fertilizers | 15% | |
Fiji | Water | 15% | |
Hong Kong | Pearls | 13% | |
Nepal | Knotted carpets | 13% | |
Poland | Processed mushrooms | 12% | |
Lebanon | Phosphatic fertilizers | 12% | |
Croatia | Handguns | 12% | |
Bulgaria | Non-retail combed wool yarn | 12% | |
Laos | Barium sulphate | 12% | |
Mozambique | Titanium ore | 11% | |
Ghana | Cocoa beans | 11% | |
Bahamas | Gravel and crushed stone | 10% | |
Greece | Dried, salted, smoked or brined fish | 10% | |
Jordan | Knit men’s coats | 10% | |
Czech Republic | Rolling machines | 10% | |
El Salvador | Molasses | 10% | |
Egypt | Spice seeds | 10% | |
United Arab Emirates | Raw aluminum | 9% | |
Uganda | Vanilla | 9% | |
Nigeria | Raw lead | 9% | |
Uruguay | Bovine, sheep, and goat fat | 9% | |
Latvia | Book-binding machines | 9% | |
Kazakhstan | Ironmaking alloys | 8% | |
Cameroon | Cocoa paste | 8% | |
Lithuania | Wheat gluten | 8% | |
Oman | Metal office supplies | 8% | |
Hungary | Seed oils | 7% | |
Belize | Molasses | 7% | |
Faroe Islands | Non-fillet fresh fish | 6% | |
Qatar | Pearls | 6% | |
Myanmar | Misc. knit clothing accessories | 5% | |
Zambia | Precious stones | 5% | |
Slovenia | Packaged medications | 5% | |
Senegal | Titanium ore | 5% | |
Algeria | Cement | 4% | |
Haiti | Knit T-shirts | 4% | |
Kenya | Titanium ore | 4% | |
Liechtenstein | Iron nails | 4% | |
Georgia | Ironmaking alloys | 4% | |
Liberia | Rubber | 4% | |
Serbia | Rubber inner tubes | 4% | |
Iceland | Fish fillets | 4% | |
Democratic Republic of the Congo | Refined copper | 3% | |
Botswana | Diamonds | 3% | |
Chad | Insect resins | 3% | |
Zimbabwe | Leather further prepared after tanning or crusting | 3% | |
Luxembourg | Polyamide fabric | 3% | |
Panama | Non-fillet fresh fish | 3% | |
Albania | Ironmaking alloys | 3% | |
Estonia | Fishing and hunting equipment | 2% | |
Ethiopia | Knit babies’ garments | 2% | |
Namibia | Wood charcoal | 2% | |
Venezuela | Processed crustaceans | 2% | |
Slovakia | Rubber tires | 2% | |
Lesotho | Knit men’s shirts | 2% | |
Tanzania | Precious stones | 2% | |
Papua New Guinea | Vanilla | 1% | |
Mauritius | Processed fish | 1% | |
Saudi Arabia | Iron nails | 1% | |
Moldova | Wine | ||
Suriname | Non-fillet fresh fish | ||
Angola | Pig iron | ||
Armenia | Diamonds | ||
Trinidad and Tobago | Non-fillet fresh fish | ||
Macau | Knitted hats | ||
North Macedonia | Curbstones | ||
Togo | Fake hair | ||
Bosnia and Herzegovina | Non-knit women’s coats | ||
Republic of the Congo | Antiques | ||
Azerbaijan | Ironmaking alloys | ||
Iraq | Antiques | ||
Libya | Misc. vegetable products | ||
Cyprus | Olive oil | ||
Kuwait | Ironmaking alloys | ||
Malta | Air conditioners | ||
British Virgin Islands | Diamonds | ||
Brunei | Knit T-shirts | ||
Cayman Islands | Phones | ||
Equatorial Guinea | Knitted hats | ||
Sint Maarten | Hard liquor |
Curious where the U.S. imports a particular item from? You can look it up below.
Searchable table
Computers $138.5 billion in imports | ||
Mexico | 35% | |
China | 26% | |
Taiwan | 19% | |
Vietnam | 11% | |
Thailand | 5% | |
Phones $119 billion | ||
China | 42% | |
Vietnam | 17% | |
Mexico | 9% | |
India | 7% | |
Thailand | 7% | |
Packaged medications $100.4 billion | ||
Ireland | 16% | |
Switzerland | 12% | |
India | 12% | |
Italy | 7% | |
China | 6% |
About the data
We analyzed U.S. International Trade Commission data on goods imported for consumption in 2024. We used product descriptions from the Observatory of Economic Complexity to label the goods, and edited these descriptions lightly.
We grouped goods using the first four digits of their code in the Harmonized Tariff Schedule, which lists categories of products.
We excluded goods that are widely produced in the U.S., using export data to remove goods where the U.S. exports at least 25 percent of what it imports by value.
We included only trading partners that export at least $50 million of goods each year to the U.S.
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