Insights

September 2026 National Survey: Agreement on AI

A new national survey finds broad trust in expertise, a shared call for action across party lines, and an opening for leaders who bring people together.

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Updated
October 1, 2026
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Artificial intelligence is already reshaping how Americans work, learn and get their information. It raises real questions about jobs, privacy, misinformation and safety, and those questions will land on the desks of leaders at every level of government in the years ahead.

So in our latest national survey of 1,000 U.S. adults, we asked a simple question: how confident are you that each of eight institutions can effectively handle the challenges AI poses? The answers reveal a public that knows whom it trusts, agrees on what it wants, and is looking for leaders who can deliver it.

Americans put their trust in expertise

The clear leader is scientists, universities and researchers: 62% of Americans are confident they can handle AI's challenges. Technology companies come next at 47%. Confidence in government institutions is more modest, and it is noticeably higher closer to home. State governments (37%) and local governments (36%) earn more confidence than Congress (28%) or the White House (32%).

Scientists are also the one institution that earns majority confidence from Democrats (73%), Republicans (56%) and independents (58%) alike. On a topic that could easily become another partisan fault line, the public's instinct is to reach for knowledge and evidence first.

One view that unites the country

We also asked Americans which of two statements came closer to their view. 76% said elected officials are more interested in appearing to address AI than actually addressing it. Only 24% said officials are making a serious effort.

What stands out is how widely this is shared. Democrats (79%), independents (79%) and Republicans (69%) all hold this view, as do majorities in every age, income and education group we measured. This isn't a verdict on any one party. It's a message to every elected official, whatever their affiliation: Americans are ready to reward leaders who do the real, detailed work on AI and show results.

How partisans and independents see it

Supporters of each party tend to trust their own side on AI, as you'd expect. 70% of Democrats are confident in the Democratic Party, and 64% of Republicans are confident in the Republican Party (54% also trust the White House). That confidence is part of what party loyalty looks like, and it gives each side a foundation to build on.

Independents are different. They don't have a home team on this issue. No political institution earns more than 31% confidence from independents, and 47% of independents aren't confident in any of the six government or party institutions we asked about, compared with roughly one in four Democrats (25%) and Republicans (26%).

But independents are far from disengaged. A majority (58%) trust scientists and researchers, and 79% want to see real action from elected officials. They are pragmatic, open-minded and looking for a voice that speaks to them. That's an open invitation for independent candidates who put evidence and cooperation at the center of how they'd govern.

What the demographics tell us

  • Younger adults are the most optimistic. Americans aged 18 to 29 are more confident than older groups across nearly every institution, including Congress (41%, versus 22% among those 55 and older). Seven in ten trust scientists, and a third are very confident in them.
  • Pre-retirement adults are the most skeptical. Among 55 to 64 year-olds, 46% are not confident in any of the six government or party institutions.
  • Women are more cautious than men. 40% of women lack confidence in every government and party institution, compared with 26% of men. Women are also less confident in technology companies (40% versus 55%).
  • Hispanic Americans are more confident across the board, including in Congress (42% versus 26% of non-Hispanic Americans), local government (50% versus 34%) and technology companies (62% versus 45%).
  • Black Americans place relatively more trust in state and local government (50% and 51%), well above the national average.
  • Trust in scientists rises with education and income, from 55% among those with a high school education or less to 71% among those with graduate degrees, and from 56% among households earning under $50,000 to 68% among those earning $100,000 or more.
  • Unregistered adults feel the most left out. Half of adults who aren't registered to vote (50%) aren't confident in any government or party institution, a reminder that restoring confidence is also about bringing more people into civic life.

The voters most open to independents are results-focused

One of the most useful findings comes from connecting the AI questions to the rest of our survey. Americans who say they'd be likely to back a strong independent candidate are more confident in scientists (69% versus 60%) and technology companies (52% versus 47%) than those who say they wouldn't. They're also more likely to want elected officials to move beyond appearances (77% versus 69%).

That's a portrait of a practical, forward-looking voter who values expertise and wants results. It's the same coalition an independent candidate can build: people from every party and background who care more about solving the problem than about who gets the credit.

What this means

On AI, Americans aren't as divided as our politics might suggest. They trust expertise, they want action, and they share that view across party lines. Each party has supporters who trust it to lead, and independents are looking for leaders who will earn their confidence.

That's good news for anyone who wants to govern well on this issue. Candidates who bring experts to the table, work with colleagues across the aisle and focus on measurable progress will be speaking directly to what most Americans say they want. For independent candidates in particular, it's a natural fit: an issue where cooperation isn't just a campaign theme, but exactly what voters are asking for.

Methodology: AlphaROC conducted a survey of n=1,000 U.S. adults on behalf of Independent Center / Independent Center Voice from September 25–28, 2026. All interviews were conducted online. Survey invitations were distributed randomly, with demographic balances aligned to general population benchmarks. The margin of error is ±3.1 points for the full sample and larger for subgroups. Figures are unweighted.

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