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Trump told pregnant women to ‘tough it out’ instead of take Tylenol. A study of 2.5 million births in Sweden finds zero evidence to back him up

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United States President Donald Trump recently claimed that using the common painkiller acetaminophen (also known as paracetamol and by the brand name Tylenol in the US) during pregnancy is fuelling the rise in autism diagnoses. He then went on to suggest pregnant women should “tough it out” rather than use the common painkiller if they experience fever or pain.

This announcement has caused alarm and confusion worldwide. But despite Trump’s claim, there is no strong scientific evidence to back it up. Our study of nearly 2.5 million births in Sweden published in 2024 shows no evidence that acetaminophen use during pregnancy increases a child’s risk of autism. This is the largest study conducted on the subject to date.

To understand whether acetaminophen really poses a risk in pregnancy, we turned to Sweden’s national health registers, which are among the most comprehensive in the world. Our study followed nearly 2.5 million children born between 1995 and 2019, tracking them for up to 26 years.

Using prescription records and interviews that midwives conducted during prenatal visits, we could see which mothers reported using acetaminophen (about 7.5% of pregnancies) and which did not.

We also made sure to account for any variables that may have affected the results of our statistical analysis – including controlling for health factors, such as fever or pain, which would have influenced whether or not a mother used acetaminophen during her pregnancy. This was to ensure a more fair comparison between the two groups.

We then looked at the children’s neurodevelopmental outcomes – specifically whether they were diagnosed with autism, ADHD or an intellectual disability.

The real strength of our study came from being able to compare siblings. This allowed us to compare children born to the same mother, where acetaminophen had been used during one child’s pregnancy but not the other. We compared over 45,000 sibling pairs, where at least one sibling had an autism diagnosis.

This sibling design is powerful because siblings share much of their genetics and family environment. This allows us to tease apart whether the drug itself – rather than underlying family traits or health conditions – is responsible for any apparent risks for neurodevelopmental outcomes.

Acetaminophen use

When we first looked at the entire population, we saw a pattern that echoed earlier studies: children whose mothers reported using acetaminophen during pregnancy were slightly more likely to be diagnosed with autism, ADHD or an intellectual disability.

But once we ran the sibling comparisons, that association completely disappeared. In other words, when we compared sets of siblings where one was exposed in the womb to acetaminophen and one was not, there was no difference in their likelihood of later being diagnosed with autism, ADHD or an intellectual disability.

Our study is not the only one to put this question to the test. Researchers in Japan recently published a study using a similar sibling-comparison design, and their results closely matched ours.

Importantly, they replicated our findings in a population with a different genetic background and where patterns of acetaminophen use during pregnancy are quite different. Nearly 40% of mothers in Japan reported using the drug during pregnancy. In comparison, less than 10% of Swedish mothers had used it.

Despite these differences, the conclusion was the same. When siblings are compared, there is no evidence that acetaminophen use during pregnancy increases the risk of autism or ADHD.

These findings mark an important shift from earlier studies, which relied on more limited data, used smaller cohorts and didn’t account for genetic differences. They also did not fully account for why some mothers used pain relief during pregnancy while others didn’t.

For example, mothers who take acetaminophen are more likely to also have migraines, chronic pain, fever or serious infections. These are conditions that are themselves genetically linked to autism or ADHD, as well as a child’s likelihood of later being diagnosed with one of these conditions.

These types of “confounding factors” can create associations that look convincing on the surface, but may not reflect a true cause-and-effect relationship.

That brings us to the real question on many people’s minds: what does this mean if you’re pregnant and dealing with pain or fever?

It’s important to recognise that untreated illness during pregnancy can be dangerous. A high fever in pregnancy, for example, is known to increase the risk of complications for both mother and baby. “Toughing it out,” as the president suggested, is not a risk-free option.

That’s why professional medical organisations such as the American College of Obstetricians and Gynecologists and the UK’s Medicines and Healthcare products Regulatory Agency continue to recommend acetaminophen (paracetamol) as the safest fever reducer and pain reliever during pregnancy when used at the lowest effective dose and only when necessary. This has been the guidance for decades.

Of course, if someone finds themselves needing to take acetaminophen regularly over a longer period of time, that’s a decision best made in consultation with their doctor or midwife. But the idea that acetaminophen use during pregnancy causes autism simply isn’t supported by the best available science.

The greater danger is that alarmist messaging will discourage pregnant women from treating pain or fever – putting both themselves and their babies at risk.

Renee Gardner, Principal Researcher, Department of Public Health Sciences, Karolinska Institutet; Brian Lee, Professor of Epidemiology, Drexel University, and Viktor H. Ahlqvist, Postdoctoral Researcher, Institute of Environmental Medicine, Karolinska Institutet

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Jensen Huang says AI bubble fears are dwarfed by ‘largest infrastructure buildout in human history’

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Pushing back against growing skepticism regarding the sustainability of artificial intelligence spending, Nvidia CEO Jensen Huang argued against the mountain backdrop of Davos, Switzerland, that high capital expenditures are not a sign of a financial bubble, but rather evidence of “the largest infrastructure buildout in human history.”

Speaking in conversation with BlackRock CEO Larry Fink, the interim co-chair of the World Economic Forum, Huang detailed an industrial transformation that extends far beyond software code, reshaping global labor markets and driving unprecedented demand for skilled tradespeople. While much of the public debate focuses on the potential for AI to replace white-collar jobs, Huang pointed to an immediate boom in blue-collar employment required to physically construct the new computing economy.

“It’s wonderful that the jobs are related to tradecraft, and we’re going to have plumbers and electricians and construction and steel workers,” Huang said. He noted the urgency to erect “AI factories,” chip plants, and data centers has radically altered the wage landscape for manual labor. “Salaries have gone up, nearly doubled, and so we’re talking about six-figure salaries for people who are building chip factories or computer factories,” Huang said, emphasizing the industry is currently facing a “great shortage” of these workers.

Ford CEO Jim Farley has been warning for months about the labor shortage in what he calls the “essential economy,” exactly the type of jobs mentioned by Huang in Davos. Earlier this month, Farley told Fortune these 95 million jobs are the “backbone of our country,” and he was partnering with local retailer Carhartt to boost workforce development, community building, and “the tools required by the men and women who keep the American Dream alive.” 

It’s time we all reinvest in the people who make our world work with their hands,” Farley said.

In October, at Ford’s Pro Accelerate conference, Farley shared that his own son was wrestling with whether to go to college or pursue a career in the trades. The Ford CEO has estimated the shortage at 600,000 in factories and nearly the same in construction.

Huang dismisses bubble fears

Fink brought up the bubble talk for a good reason: Fear of a popping bubble gripped markets for much of the back half of 2025, with luminaries such as Amazon founder Jeff Bezos, Goldman Sachs CEO David Solomon, and, just the previous day in Davos, Microsoft CEO Satya Nadella, warning about the potential for pain. Much of this originated in the underwhelming release of OpenAI’s GPT-5 in August, but also the MIT study that found 95% of generative AI pilots were failing to generate a return on investment. “Permabears” such as Albert Edwards, global strategist at Société Générale, have talked about how there’s likely a bubble brewing—but then again, they always think that.

Huang, whose company became the face of the AI revolution when it blew past $4 trillion in market capitalization (a bar recently reached by Alphabet on the positive release of its Gemini update), tackled these fears in conversation with Fink, arguing the term misdiagnoses the situation. Critics often point to the massive sums being spent by hyperscalers and corporations as unsustainable, but Huang countered the appearance of a bubble happens because “the investments are large … and the investments are large because we have to build the infrastructure necessary for all of the layers of AI above it.”

Huang went deeper on his food metaphor, describing the AI industry as a “five-layer cake” requiring total industrial reinvention, with Nvidia’s chips a particularly crunchy part of the recipe. The bottom layer is energy, followed by chips, cloud infrastructure, and models, with applications sitting at the top. The current wave of spending is focused on the foundational layers—energy and chips—which creates tangible assets rather than speculative vapor. Far from a bubble, he described a new industry being built from the ground up.

“There are trillions of dollars of infrastructure that needs to be built out,” Huang said, noting that the world is currently only “a few 100 billion dollars into it.”

To prove the market is driven by real demand rather than speculation, Huang offered a practical “test” for the bubble theory: the rental price of computing power as seen in the price of Nvidia’s GPU chips.

“If you try to rent an Nvidia GPU these days, it’s so incredibly hard, and the spot price of GPU rentals is going up, not just the latest generation, but two-generation-old GPUs,” he said. This scarcity indicates established companies are shifting their research and development budgets—such as pharmaceutical giant Eli Lilly moving funds from wet labs to AI supercomputing—rather than simply burning venture capital.

Beyond construction and infrastructure, Huang addressed the broader anxiety regarding AI’s impact on human employment. He argued AI ultimately changes the “task” of a job rather than eliminating the “purpose” of the job. Citing radiology as an example, he noted that despite AI diffusing into every aspect of the field over the last decade, the number of radiologists has actually increased. Because AI handles the task of studying scans infinitely faster, doctors can focus on their core purpose: patient diagnosis and care, leading to higher hospital throughput and increased hiring.

Fink reframed the issue, based on Huang’s pushback. “So what I’m hearing is, we’re far from an AI bubble. The question is, are we investing enough?” Fink asked, positing that current spending levels might actually be insufficient to broaden the global economy.

Huang appeared to say: not really. “I think the the opportunity is really quite extraordinary, and everybody ought to get involved. Everybody ought to get engaged. We need more energy,” he said, adding the industry needs more land, power, trade, scale and workers. Huang said the U.S. has lost its workforce population in many ways over the last 20-30 years, “but it’s still incredibly strong,” and in Europe, pointing around him in Switzerland, he saw “an extraordinary opportunity to take advantage of.” He noted 2025 was the largest investment year in venture capital history, with $100 billion invested around the world, mostly on AI natives.”

Huang concluded by emphasizing this infrastructure buildout is global, urging developing nations and Europe to engage in “sovereign AI” by building their own domestic infrastructure. For Europe specifically, he highlighted a “once-in-a-generation opportunity” to leverage its strong industrial base to lead in “physical AI” and robotics, effectively merging the new digital intelligence with traditional manufacturing. Far from a bubble, he seemed to be saying, this is just the beginning.



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Nearly 400 millionaires and billionaires are demanding Davos leaders to tax them more: ‘Tax us. Tax the super rich.’

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While the wealthiest business leaders from U.S. president Donald Trump to Nvidia CEO Jensen Huang touch down in the Swiss town of Davos to discuss the state of the world, a cohort of the ultra-rich are already sounding the alarm. Hundreds of millionaires and billionaires released an open letter in time for the World Economic Forum, calling on leaders attending the conference to fight raging wealth inequality with taxes. 

“Millionaires like us refuse to be silent. It is time to be counted. Tax us and make sure the next fifty years meet the promise of progress for everyone,” the letter stated

“Extreme wealth has led to extreme control for those who gamble with our safe future for their obscene gains. Now is the time to end that control and win back our future.”

So far, nearly 400 millionaires and billionaires across 24 countries have signed the letter condemning extreme wealth, including the likes of Hollywood actor Mark Ruffalo, Disney heirs Abby and Tim Disney, and real estate developer Jeffrey Gural.

The open letter is part of a “Time to Win” campaign, led by wealth redistribution organizations including Patriotic Millionaires, Millionaires for Humanity, and Oxfam. It criticized global oligarchs with riches who have “bought up” democracies, exacerbated poverty, stifled tech innovation, dampened press freedom, and overall, “accelerated the breakdown of our planet.” After all, 77% of millionaires from G20 nations think extremely wealthy individuals buy political influence, and 71% believe those with riches can significantly influence elections, according to a poll conducted for Patriotic Millionaires.

The Time to Win wealthy signatories offer a simple solution: “Tax us. Tax the super rich.”

“As millionaires who stand shoulder to shoulder with all people, we demand it,” the open letter continued. “And as our elected representatives—whether it’s those of you at Davos, local councillors, city mayors, or regional leaders—it’s your duty to deliver it.

Stars and billionaires are calling out the super-rich for being ungenerous 

As the world mints hundreds of thousands of millionaires yearly and billionaire wealth soars to record highs, some leaders can’t stand to stay quiet. Celebrities and the ultra-rich haven’t just sent a message to money-hoarders with the Time to Win letter—some have even called out billionaires in person, questioning their existence. 

“If you’re a billionaire, why are you a billionaire? No hate, but yeah, give your money away, shorties,” Eilish said onstage last year at the WSJ Magazine Innovator Awards with Meta mogul Mark Zuckerberg, worth $214 billion, in attendance. 

Even the most philanthropic members of the ultra-rich club are wary of their peers’ lack of charity. Billionaires have started their own initiatives like Warren Buffett, Melinda French Gates, and Bill Gates’ The Giving Pledge, which attracted more than 250 billionaires who pledged to donate at least half of their wealth during their lifetimes, or in their wills. But efforts have largely fallen short. Last year, French Gates admitted that the signatories haven’t given enough; And in a letter to shareholders, Buffett fessed up to the fact that billionaires aren’t following through. 

“Early on, I contemplated various grand philanthropic plans. Though I was stubborn, these did not prove feasible,” Buffett wrote. “During my many years, I’ve also watched ill-conceived wealth transfers by political hacks, dynastic choices, and, yes, inept or quirky philanthropists.”

Billionaire and millionaire wealth is on the rise 

There’s more people rolling in riches than ever before, and it’s fueling an equity crisis at the bottom of the economic ladder. 

In 2024 alone, the U.S. minted 379,000 new millionaires—over 1,000 millionaires every day—as the proportion of Americans in the ultrawealthy club swelled by 1.5%, according to a 2025 report from investment bank UBS. This cohort held about $107 trillion in total wealth at the end of that year: more than four times the amount they owned at the turn of the millennium. 

In 2000, there were only 13.27 million everyday millionaires, but by the end of 2024, the group swelled to 52 million people worldwide. 

While it might appear that eye-watering riches are spreading out to a larger number of individuals, it’s mainly concentrating at the top. America’s top 20% household earners—averaging a net worth of $4.3 million—accounted for about 71% of the U.S.’s total wealth at the end of 2024, according to 2025 data from the Federal Reserve. 

Meanwhile, the bottom half of American households, averaging about $60,000 in wealth, owned just 2.5% of the country’s wealth. For the vast majority of U.S. citizens, joining the millionaire club—and even more so, the billionaire club—is a total pipe dream.



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Trump fast tracks ‘three-week’ nuclear approval for big tech to fuel AI race

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President Donald Trump offered Silicon Valley an extraordinary deal on Wednesday: Build your own nuclear power plants to fuel AI, and his administration will approve them in just three weeks.

Speaking at the World Economic Forum in Davos, Switzerland, Trump addressed a room of tech executives struggling with an aging U.S. electrical grid.

“I came up with the idea,” Trump said. “You people are brilliant. You have a lot of money. You can build your own electric generating plants.”

Trump talked for about 10 minutes about energy in his speech, making it clear Trump views a straining electric grid as a central economic risk of 2026. As artificial intelligence pushes electricity demand to record highs, the administration is framing power shortages as an existential threat to growth and national security. Slashing approval timelines, Trump argued, is a necessary response to an energy system he said he believes is fundamentally unprepared for the AI era.

“We needed more than double the energy currently in the country just to take care of the AI plants,” Trump said. 

The proposal marks a radical departure from the traditional Nuclear Regulatory Commission (NRC) process, which historically requires four to five years for environmental and design approvals as well as rigorous site selection. Trump claimed that while tech leaders initially “didn’t believe him,” he assured them the government would deliver approvals for oil and gas plants in just two weeks, with nuclear projects following in three.

Trump said he wasn’t “a big fan” of nuclear power before, but now sees it as a newly viable solution due to safety improvements. 

“The progress they’ve made with nuclear is unbelievable,” he said. “We’re very much into the world of nuclear energy, and we can have it now at good prices and very, very safe.” 

While the potential upcoming wave of small modular nuclear reactors (SMR) could receive regulatory approvals in less than two years, there is little basis for going through an approval process with the Nuclear Regulatory Commission in closer to three weeks, and such an expedited process would trigger widespread concerns about safety and environmental risks.

Trump also touted a new energy alliance with Venezuela, noting the U.S. secured 50 million barrels of oil last week following the “end of an attack” on the nation that led to the deposition of President Nicolás Maduro. He said the new cooperation between the two nations would make Venezuela “fantastically well” while driving U.S. gasoline prices toward $2.00 a gallon.

Gasoline prices are the main inflationary measure by which costs have fallen during the first year of the new Trump administration. But they’re nowhere close to $2.00 per gallon. The national average for a gallon of regular unleaded is $2.76 per gallon this week, down 32 cents from a year ago, primarily because of rising OPEC oil production.

But Trump drew a sharp contrast with Europe’s energy landscape. Trump mocked the “Green New Scam,” citing a 64% spike in German electricity prices and the “catastrophic” decline of energy production in the United Kingdom. He targeted the North Sea and the proliferation of wind farms, which he labeled “losers” that “kill the birds.”

“Stupid people buy” wind farms, Trump laughed.



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