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By Anna Rahmanan
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Here is a frightening headline for 2026: the United States may soon lose its measles elimination status, a distinction it earned more than a quarter-century ago.
What makes that prospect even more disturbing is that it concerns a country spending hundreds of billions of dollars developing artificial intelligence, teaching machines to solve problems that have confounded human beings for centuries, while struggling to prevent a disease it conquered generations ago.
The contradiction becomes even starker when looking at the numbers.
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The Centers for Disease Control and Prevention says the United States recorded 5,182 confirmed measles cases through November 5, compared with just 85 in all of 2000. That is roughly 61 times as many infections as in the year America celebrated eliminating the disease. Four deaths have been recorded in 2026, according to the CDC's provisional figures.
Meanwhile, the technological frontier is consuming capital at an almost-unimaginable rate. Estimates compiled in a November commercial real-estate finance report put the combined 2026 capital spending plans of Microsoft, Amazon, Alphabet and Meta at approximately $720 billion to $740 billion, much of it driven by the infrastructure demands of AI.
One side of the American economy is assembling the computational machinery of the future. Another is confronting the return of an infection that once routinely filled children's hospital wards.
The paradox exposes a truth we have come to take for granted: scientific knowledge accumulates, building on past discoveries, while the social progress it enables can unravel. Once engineers develop a faster chip, their successors can improve upon it.
The measles vaccine, too, remains as effective as ever, but its success depends on something science alone cannot guarantee: the willingness of millions of people to use it. America still possesses the knowledge that defeated measles, even as the collective trust that kept the disease at bay has eroded.
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CDC figures for the 2025-2026 school year show that just 92.4 percent of American kindergarteners had received the recommended measles, mumps and rubella vaccinations, below the approximately 95 percent coverage needed to prevent sustained transmission in communities. Some 280,000 kindergarteners lacked documentation of completing the series.
The comparison with AI spending is revealing because the two problems demand different kinds of investment. Building a frontier model requires concentrated capital and specialized talent. Maintaining measles elimination requires millions of ordinary decisions, repeated year after year, across communities that may disagree profoundly about whom to trust.
Money can purchase more computing power, sure, but it cannot purchase public confidence with the same predictability.
And here is where the comparison becomes more troubling. The same problem that has undermined America's victory over measles could eventually limit the benefits of its AI revolution. A technology can be extraordinarily powerful, backed by billions in investment and supported by overwhelming evidence, yet accomplish remarkably little if the people it is intended to serve refuse to trust it.
Anthropic CEO Dario Amodei has predicted that powerful AI could help eliminate most cancers and dramatically improve treatments for diseases including heart disease. But what happens if science develops extraordinary new treatments and the public no longer trusts the institutions recommending them?
Of course, distrust is not always irrational. Skepticism toward artificial intelligence systems is often warranted as convincing falsehoods often make their way to the surface. But there is a difference between justified scrutiny and reflexive rejection. A society that loses the ability to distinguish reliable knowledge from unreliable claims will struggle to benefit from even its most extraordinary discoveries.
America's measles predicament suggests that technological sophistication and social progress can travel in opposite directions. The country may soon possess machines capable of solving problems that have resisted generations of human ingenuity, while finding itself unable to preserve a solution it has had for decades.
Perhaps the greatest challenge of the AI revolution, then, will be one that artificial intelligence cannot solve for us: how to rebuild the trust that allows scientific discoveries to become lasting human progress.
Otherwise, America risks entering an age of astonishing technological intelligence while losing the ability to act on what it already knows.
What a shame that would be.
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