There had been plenty of data showing that young Americans were among the most averse to AI in any group around the world, and this is also showing up in real life.
Former Google CEO Eric Schmidt was booed repeatedly during his commencement address at the University of Arizona’s 162nd graduation ceremony last Friday, most pointedly when he turned to the subject graduates were arguably most anxious about: artificial intelligence and the job market they were walking into.
“I know what many of you are feeling about that. I can hear you. There is a fear,” Schmidt told the crowd as boos briefly drowned him out. “There is a fear in your generation that the future has already been written, that the machines are coming, that the jobs are evaporating, that the climate is breaking, that politics are fractured, and that you are inheriting a mess that you did not create.” He called those fears “rational” — but urged graduates to adapt. “The question is not whether AI will shape the world. It will. The question is whether you will have shaped artificial intelligence.”
The crowd wasn’t persuaded. Student groups had organized ahead of the ceremony to turn their backs to the stage and boo, partly over a pending sexual assault lawsuit filed by Schmidt’s former partner Michelle Ritter (an attorney for Schmidt called the accusations “fabricated”; a judge ordered the case to arbitration in March). But the boos grew distinctly louder the moment Schmidt pivoted to AI — a signal that the opposition runs deeper than personal grievances about the speaker.
Schmidt’s reception was not an isolated incident either. Earlier this month, real estate executive Gloria Caulfield was similarly booed at a University of Central Florida commencement after mentioning AI. The pattern is becoming hard to ignore.
The Data Behind the Boos
The hostility in the room did not come out of nowhere. The surveys have been pointing in this direction for a while now.
A Gallup survey released in April 2026 found that among Generation Z (ages 14–29), excitement about AI had dropped 14 percentage points in a single year, to just 22%. Hopefulness fell nine points to 18%. Anger toward AI, meanwhile, rose nine points to 31%. Almost half of Gen Z workers — 48% — now say the risks of using AI at work outweigh the benefits, up from 37% the year before. Less than three in ten trust AI-assisted work.
Perhaps most striking: only 40% of young Americans trust AI — the lowest figure of any age group in any country surveyed, with the exception of older Germans and Britons. A Quinnipiac poll found 83% of Gen Z Americans are concerned that AI will diminish the youngest generation’s ability to think for themselves.
The reasons are grounded in real experience. Studies from both Harvard and Stanford have found that generative AI is hitting entry-level workers hardest. Employment for software developers aged 22–25 fell nearly 20% from its peak in late 2022 through mid-2025. Wholesale and retail firms that adopted AI hired roughly 40% fewer junior employees. These graduates aren’t imagining the threat — it’s in the data. When Schmidt told them to “adapt or else,” he was doing so as a representative of the exact industry that has made their first job harder to get.
The Contrast with China and India Is Stark — and Consequential
While American graduates are booing AI at commencement ceremonies, their peers in Asia are sprinting toward it.
The Edelman Trust Barometer found that 54% of Chinese respondents embrace the growing use of AI, versus just 17% of Americans — a 37-point gap. In China, 88% of young people trust AI. In the US, that number is 40%. A Stanford HAI survey found that 84% of respondents in China agreed that AI products and services make them excited. In the US, the figure was 38%.
India tells a similar story. Indian youth are embracing AI with 67% saying AI products excite them, and 68% of India’s youth reporting a more positive perception of AI than they had the previous year. The country is building a generation of AI-native engineers and entrepreneurs, backed by a government that views AI adoption as a national priority and a population that sees it as a path to opportunity, not a threat.
This divergence is not just a cultural curiosity. It is a structural disadvantage for the United States in the global AI race, and the ramifications compound quickly.
A Headwind the US Cannot Afford
Public sentiment shapes policy, infrastructure, and investment — often more powerfully than any executive order or R&D budget. Opposition to AI among young Americans is already translating into organized resistance against the physical infrastructure the AI race depends on: communities are pushing back against datacenter construction, slowing build-outs and prompting companies to consider locations elsewhere, while misinformation about water consumption — decontextualized or outright wrong figures that spread easily on social media — amplifies opposition well beyond what the facts support. In China and India, governments and local communities are racing to attract this infrastructure, not block it.
The downstream effects compound. Public anxiety is the raw material of restrictive regulation, and legislators who sense their constituents are hostile to AI will respond accordingly — potentially producing a patchwork of rules that throttles US development precisely as competitors operate with fewer constraints and stronger public tailwinds. The Ipsos survey found only 31% of Americans trust their government to regulate AI responsibly, the lowest score in the study — a distrust that makes workable governance harder to build and maximalist restrictions easier to push through. Meanwhile, the number of AI researchers and developers moving to the US has dropped 89% since 2017, per Stanford’s AI Index. An environment where AI workers are jeered at graduations is not one that attracts the world’s best talent.
The Implications for the AI Race
The booing at Arizona is, in one sense, a story about a mismatched messenger at a charged moment. But zoom out and it signals something more consequential: the United States is trying to win an AI race while a significant portion of its youngest generation — the workforce that will build, deploy, and adopt the technology — views it with fear and resentment. China and India have no such problem. Their populations, and especially their youth, see AI as a vehicle for opportunity and national advancement. That cultural tailwind accelerates adoption, attracts investment, draws talent, and smooths the path for infrastructure and policy. The US, meanwhile, is navigating datacenter protests, regulatory fights fueled by public anxiety, and declining inflows of AI researchers. Sentiment is not everything — but in a race where speed of adoption and depth of talent determine winners, a generation that wants to boo AI off the stage is a structural disadvantage that no amount of compute spending can fully offset.