A clear majority of Americans believe artificial intelligence technology is advancing too quickly and want the federal government to prioritize keeping AI systems under human control while safeguarding jobs. According to a poll from The Associated Press-NORC Center for Public Affairs Research released on October 8, 2026, and reported by WCCB Charlotte, 64% of U.S. adults say AI is developing “too fast.” By contrast, 27% of respondents describe the current pace of development as “about right,” and 8% say the technology is moving “too slow.”

The survey, conducted between September 24 and September 28, 2026, among 2,140 U.S. adults with an overall margin of sampling error of plus or minus 2.9 percentage points, highlights widespread public unease that cuts across traditional political and generational divides. As frontier AI models expand in capability and the physical infrastructure powering them takes center stage in national debates ahead of the 2026 midterm elections, the findings show a sharp disconnect between the rapid deployment strategies of technology firms and the comfort levels of the American public.

Human Control and Workforce Protection Top Public Priorities

The primary drivers behind public skepticism center on autonomy and economic displacement. The AP-NORC data shows that about 8 in 10 U.S. adults (80%) believe it is “extremely” or “very” important for the U.S. government to ensure that artificial intelligence remains under human control. Respondents were nearly as likely to say the government must prioritize protecting the country’s workforce from automation-driven job losses.

What was once treated as science fiction—the possibility that advanced AI systems could evade human oversight—has become a mainstream policy discussion. Even executives at companies building frontier AI models have publicly suggested slowing down development so regulatory frameworks can catch up, while reporting from The Epoch Times notes that recent months have included incidents of AI agents from major tech firms breaching websites belonging to private companies, research institutions, and government agencies.

For everyday workers, the concern is often grounded in immediate economic reality. Ron Theusch, a 58-year-old truck driver in rural Alden, Minnesota, told the Associated Press that potential job loss is his primary worry regarding the technology.

“I can just see a train of self-driving trucks 24/7, just running up and down I-35, loading and unloading. I can just see that happening,” Theusch said, adding that ordinary citizens have very little ability to control how the technology evolves.

Beyond human oversight and labor protections, most U.S. adults also rated minimizing environmental harm and growing the U.S. economy as highly important government objectives regarding AI. However, public enthusiasm drops when it comes to accelerating the technology for geopolitical or commercial races. About half of respondents said it is highly important for the government to promote technological innovation, and slightly fewer placed top importance on competing with China.

Partisan and Generational Breakdowns

While skepticism toward the pace of AI development spans the political spectrum, the intensity of that concern varies by party affiliation and age. According to figures reported by The Epoch Times, 76% of Democrats believe AI is advancing too rapidly, compared with 54% of Republicans. Despite differences on secondary priorities, majorities of both Democrats and Republicans agree on the core necessity of keeping AI under human control and protecting American workers.

Generational data reveals that younger Americans—who are often the heaviest adopters of digital tools—are actually more supportive of pumping the brakes on AI than older generations. Seventy percent of adults under the age of 30 believe the technology should be slowed down, compared with 60% of adults aged 60 and older.

Low Confidence in Political Leadership Ahead of the Midterms

Although Americans overwhelmingly want federal guardrails on artificial intelligence, very few trust Washington to deliver them effectively. President Donald Trump has opposed slowing down domestic AI development, arguing that regulatory delays could allow China to gain a strategic advantage in the sector. That stance appears unpopular with a majority of the public: 67% of U.S. adults disapprove of how Trump is handling artificial intelligence.

Stephanie Stewart, a 53-year-old junior-high science teacher in Sunset, Utah, expressed frustration over the administration’s hands-off approach. “There is no handling of the issue except for we’re just going to allow these companies to do whatever they want, and we’re not going to regulate them,” Stewart told the AP.

Yet dissatisfaction extends to both ends of Pennsylvania Avenue. While lawmakers from both parties have introduced various AI regulatory bills, legislative action has stalled with Congress in recess ahead of the midterm elections. When asked which party would do a better job managing artificial intelligence, 23% of Americans expressed trust in Democrats and 21% favored Republicans, while 39% said they trust neither party.

Public wariness of AI also carries over into how voters consume political information. Only about 21% of adults said they use or plan to use AI tools to research candidates or ballot issues for the upcoming election. Even fewer respondents reported plans to use AI to find out how to vote (12%) or how to register to vote (10%).

Where AI Fits in the Broader 2026 Midterm Landscape

Despite the rapid expansion of AI data centers becoming a localized point of contention in several political races, artificial intelligence remains a secondary voting issue compared to bread-and-butter economic anxieties. A separate October 2026 analysis from AP-NORC shows that ahead of the midterms, 85% of voters cite the economy and 84% cite the cost of living as top issues influencing their vote. Health care (69%), the war with Iran (64%), and immigration and crime (45% each) also rank higher on the voter priority list than artificial intelligence, which 35% of voters classify as a top election issue.

At the same time, positive scientific applications of machine learning continue to advance behind the scenes. For example, as reported by The Avery Journal-Times, researchers at the Massachusetts Institute of Technology recently detailed a machine-learning method in the journal Nature that corrects errors in existing weather models, doubling forecasting accuracy in the two-to-six-week subseasonal window to help farmers, energy operators, and emergency planners prepare for extreme weather.

For policymakers and technology leaders, however, the overarching takeaway from the AP-NORC survey is clear: while targeted machine-learning breakthroughs offer tangible utility, the broader public remains unconvinced that the current breakneck speed of general AI deployment serves their best interests without enforceable human oversight and labor protections.

Frequently Asked Questions

What did the AP-NORC poll measure regarding AI’s pace of development?

The poll measured public perceptions of the speed of artificial intelligence development and desired government policy priorities. While 64% of respondents said AI is developing “too fast,” the published coverage notes that the survey captures public sentiment rather than establishing an objective metric of technical progress or distinguishing between underlying research and commercial product deployment.

How do government priorities for AI compare among the American public?

Approximately 80% of U.S. adults view keeping AI under human control and protecting the U.S. workforce as “extremely” or “very” important government priorities. Most Americans also rate minimizing environmental harm and growing the economy as highly important, whereas roughly half prioritize promoting technological innovation and slightly fewer prioritize competing with China.

Why hasn’t public concern translated into federal AI regulation?

Although bipartisan majorities of citizens support worker protections and human oversight for AI, there is little consensus in Washington on how to regulate the sector without hampering domestic growth. The Trump administration has pushed back against slowing AI development due to geopolitical competition with China, and while bipartisan measures have been proposed on Capitol Hill, major legislation has stalled ahead of the 2026 midterm elections.

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