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AI Spotlight — Experts and the Public Are Living in Two Different Futures
AI SPOTLIGHT

Experts and the Public Are Living in Two Different Futures

56% of AI experts expect AI to be good for America over the next 20 years. Only 17% of the public agrees.

📖 6 minute read
Diverse group of people looking at data and charts on a large screen

Welcome Back,

Ask the people building AI where it's headed, and ask the people using it every day the same question, and you get two noticeably different answers. Pew Research Center did exactly that, surveying 5,410 U.S. adults alongside a separate panel of AI experts, and the resulting gap is one of the more striking findings in AI research this year.

Fully 56% of AI experts surveyed say AI will have a very or somewhat positive impact on the United States over the next 20 years. Among the general public, that number drops to 17%. That's not a small disagreement, it's two groups looking at the same technology and arriving at almost opposite conclusions.

Today we look at where that optimism gap is widest, where experts and the public actually agree, the surprising split within the expert group itself, and what all of this tells us about trust between the people building AI and the people living with it.

📌 In Today's AI Spotlight

  • The 39-point optimism gap between experts and the public.
  • Where jobs, economy, and health care split experts and everyday Americans.
  • The one thing both groups actually agree on: elections and news.
  • A surprising gender gap hiding inside the expert data itself.
  • Our AI Spotlight take on what this gap actually means for AI adoption.

📊 The 39-Point Gap

Pew's survey design is what makes this data genuinely useful, it directly compares 5,410 U.S. adults surveyed in August 2024 against a separate sample of AI experts, rather than relying on general public polling alone, according to Pew Research Center.

The headline gap: 56% of experts see AI's overall 20-year impact on the U.S. as positive, versus 17% of the public. On the flip side, 35% of U.S. adults believe AI will negatively affect the country over the next two decades, compared with just 15% of experts. The public was also more likely to say the impact would be a mixed bag, 33% versus 23% of experts, or that they simply weren't sure, 16% versus 6%.

"I wouldn't say [AI] is the biggest technological revolution we've had, nonetheless, in terms of improving productivity, it is incredible. But in terms of what some people expect AI to be, we are not there yet."

— AI expert, quoted in Pew's survey

That quote captures something the raw numbers alone don't, expert optimism isn't necessarily hype. It often comes paired with real skepticism about overblown claims, just applied to a different set of expectations than the public holds.

Bar chart data displayed on a screen showing survey results

Pew surveyed thousands of U.S. adults alongside a separate panel of AI experts to map this gap directly.

💼 Where the Disagreement Is Sharpest

The starkest differences between experts and the public center on work and the economy. AI experts surveyed are far more likely than the general public to believe that, over the next 20 years, AI will positively affect how people do their jobs, 73% versus 23%, or the broader economy, 69% versus 21%.

Health care shows a similar split, even though it's the one area where the public is most optimistic overall. Experts are still 40 percentage points more likely than the general population to believe AI will positively affect medical care, 84% versus 44%. Experts are also more bullish on K-12 education, 61% versus 24%, and arts and entertainment, 48% versus 20%.

💡 AI Spotlight Take

Notice that health care is simultaneously the area the public is most excited about and one of the widest expert-public gaps in the whole survey. People clearly want AI to help with their health, they're just far less convinced than the experts building these tools that it actually will.

That combination, real hope paired with real doubt, is a useful way to read most of this data. The public isn't simply anti-AI, it's specifically unconvinced that the benefits experts describe will actually reach them.

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AI Spotlight — Experts and the Public Are Living in Two Different Futures Part 2

🗳️ 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.

Where Experts and the Public Actually Agree

11% / 9%

experts / public predicting a positive impact on elections

 

56% / 51%

experts / public predicting AI will harm the news people get

 

73% / 73%

experts / public predicting fewer cashier jobs

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.

Person reading news on a phone and laptop with multiple headlines visible

Elections and news are the rare topics where AI experts and the public land on the same worry.

👷 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.

🚻 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%.

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

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.

Diverse team of professionals in a meeting discussing technology

The gender split among AI experts themselves is wider than the split in the general public.

🧠 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.

💡 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.

🔗 Sources and Further Reading

Pew Research Center: Public and expert predictions for AI's next 20 years

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