🗳️ Where They Actually Agree: Elections and News
For all the disagreement elsewhere, there's real common ground on one subject, and it's not a reassuring one. Just 11% of experts surveyed and 9% of the public believe AI will positively impact U.S. elections over the next 20 years. In fact, 61% of experts believe AI will actively harm elections in the future, with 50% of the public saying the same.
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Where Experts and the Public Actually Agree
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11% / 9%
experts / public predicting a positive impact on elections
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56% / 51%
experts / public predicting AI will harm the news people get
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73% / 73%
experts / public predicting fewer cashier jobs
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News tells a similar story. Only 18% of experts and 10% of the public believe AI will be good for the news people get, while about half or more of both groups, 56% of experts and 51% of the public, predict it will negatively affect it. When the people building AI and the people using it independently arrive at the same worry, that's usually worth taking seriously.
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Elections and news are the rare topics where AI experts and the public land on the same worry.
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👷 Which Jobs Disappear, According to Whom
Overall, 64% of U.S. adults say AI will lead to fewer jobs in the U.S. over the next 20 years, while just 5% think it will lead to more. Experts are notably more split, 39% foresee fewer jobs, 19% believe it will lead to more, and a third think it won't make much difference.
When it comes to specific occupations, both groups converge sharply on cashiers and factory workers, 73% of both the public and experts expect fewer cashier jobs, and six-in-ten or more from both groups predict the same for factory workers. Journalism shows similar alignment, about six-in-ten of the general public (59%) and experts (60%) expect fewer journalist jobs.
"[AI] is going to take over a lot of jobs. Of course it's creating new jobs, but that doesn't mean it's matching that. We're generating maybe 10 jobs, but at the same time, we're taking away 1,000 jobs."
— AI expert, quoted in Pew's survey
Truck drivers is where the two groups genuinely part ways, experts are far more likely than the public to say AI will lead to fewer truck driving jobs, 62% versus 33%. Lawyers show the opposite pattern, experts are more pessimistic there too, 38% versus 23% of the public, suggesting professional insiders see automation risk in white-collar work that the general public hasn't fully clocked yet.
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🚻 A Gender Gap Hiding Inside the Expert Data
One of the more surprising findings sits inside the expert sample itself. Among AI experts surveyed, men are far more likely than women to say AI's overall impact on the country will be positive, 63% versus 36%. Female experts are correspondingly more likely to predict negative outcomes, 23% versus 12% of male experts, or an equal mix of both, 36% versus 19%.
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The Gender Split Among Experts
| ⚠️ Male experts on K-12 education: 68% positive vs. 42% of female experts |
| ⚠️ Male experts on medical care: 89% positive vs. 72% of female experts |
| ⚠️ Male experts on the environment: 43% positive vs. 18% of female experts |
| ⚠️ Male experts trusting AI with major decisions: 58% vs. 30% of female experts |
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That gap shows up among the general public too, though more modestly, 22% of men versus 12% of women expect a positive impact overall. The pattern holds across both groups, but it's noticeably wider among the very people building the technology, which raises a genuinely interesting question about whose expert judgment gets weighted most heavily inside labs and companies actually shaping AI's rollout.
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The gender split among AI experts themselves is wider than the split in the general public.
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🧠 AI Spotlight Analysis
The most important number in this whole survey might not be the 56%-versus-17% headline gap, it might be this one: 63% of U.S. adults say AI will never get to a point where they'd trust it to make important personal decisions for them. Just 13% think it will. Experts are far more open to the idea, roughly half think that trust will eventually arrive.
That trust gap is arguably the real story underneath all the other numbers. Optimism about jobs or health care or education is downstream of a more basic question, does this technology deserve your confidence. Right now, most Americans are answering no, and most experts are answering yes, or at least "eventually."
💬 Quote of the Week
"I'm excited about further automation of code, even though a lot of my job is software engineering, so that's in competition with my job. I think of the biggest outcome as automation of processes that feel very slow, being automated by AI."
— AI expert, quoted in Pew's survey
Even that quote, from someone whose own job overlaps with what AI can now do, carries genuine nuance, excited about the technology, honest about the competitive threat it poses. That kind of dual awareness is largely missing from the public's response, which skews toward broader uncertainty and unease rather than this specific, lived-in ambivalence.
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💡 Final Thoughts
This survey is a useful corrective to the idea that AI's future is simply a matter of better technology arriving on schedule. The people closest to the technology and the people who'll actually live with its consequences are working from two different sets of assumptions about what's coming, and that gap doesn't close on its own just because the models keep improving.
The one place they agree, elections and news, is arguably the place that matters most for democratic trust generally, and it's the one area where neither confidence nor expertise offers much reassurance. Whatever comes next in AI's next 20 years, the public seems to be asking for something experts haven't fully delivered yet, a reason to actually trust it.
Are you more optimistic or more skeptical about AI's next 20 years than the experts building it? Hit reply, we read every response.
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🔗 Sources and Further Reading
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