Two-Thirds of Americans Think AI Is Moving Too Fast

Nearly half of Americans now use AI chatbots, but the mood around that usage is far from enthusiastic. According to Two-thirds of Americans think AI is advancing too quickly, a new Pew Research poll finds that 49 percent of Americans report using chatbots at least occasionally — up sharply from just 33 percent in 2024. At the same time, 63 percent of respondents say the technology is advancing too quickly, and only 16 percent believe AI will have a positive impact on society.

The survey was reported by Terrence O'Brien at The Verge on June 17, 2026. It paints a picture of a country that is rapidly adopting AI tools while growing more anxious about where they lead. That tension — high use, low trust — is something every marketer and agency owner should pay attention to right now.

The Details: What Pew Found

The headline numbers are striking on their own. ChatGPT usage has doubled since 2023, with 44 percent of respondents saying they have used it. That kind of adoption curve in under three years is genuinely remarkable. But the sentiment data running alongside it tells a much more complicated story.

Younger users are driving the usage spike — 66 percent of Americans between the ages of 18 and 29 report using chatbots. But that same group is also the most pessimistic. According to the Pew data, 48 percent of 18-to-29-year-olds believe AI will have a negative impact, and only 14 percent believe it will have a positive one. They are the heaviest users and the harshest critics. That is not a contradiction — it is what happens when people actually live with a technology.

It's the 30-to-49 age bracket, though, that uses AI most frequently. According to the report, 34 percent of that group turns to chatbots once a day or more. That likely connects to work. Pew found that roughly four in ten Americans report using AI for work tasks, with 30 percent saying it makes them more productive and 28 percent saying it helps them feel more informed.

That last figure is worth pausing on. In Pew's 2024 study, 66 percent of US adults said they were concerned about AI spreading inaccurate information. So more than a quarter of Americans feel better-informed thanks to AI, while a majority is worried that the same AI is spreading bad information. Both things are true at once. And that gap is exactly where trust gets eroded.

What This Means For You

If you are an agency owner or in-house marketer building an AI content strategy right now, this data is a useful gut check. The audience you are writing for is increasingly AI-native — they use these tools daily. But they are not naive about it. They know the outputs can be wrong. They know the industry is moving fast. And they are not sold on the idea that AI is good for society.

That creates a real credibility opportunity for brands that show their work. When you publish content with clear author expertise, cited sources, and a human point of view, you are not just checking a Google E-E-A-T box. You are differentiating yourself from the noise that 63 percent of Americans are already worried about. The brands that win the next few years will be the ones readers trust — not the ones that published the most.

There's also a signal here about AI search visibility. The 30-to-49 cohort, the daily-use crowd, is the same group making purchasing decisions and Googling products. If they are trusting AI answers enough to use them daily for work, they are also encountering AI Overviews and Perplexity summaries as part of their research process. Getting your brand cited in those AI-generated answers is not a future concern — it is a current one. AI visibility tracking is something smart teams are already building into their reporting stack.

And yes, the trust gap cuts both ways for search. If users are skeptical of AI-generated information, they may be more likely to click through to primary sources to verify. That reinforces the case for strong organic rankings alongside AI visibility, not instead of it.

What to Do Now

1. Audit your AI content for trust signals. Every AI-assisted piece should have a named author, a clear perspective, and citations where you make factual claims. The Pew data says your readers are already skeptical — give them a reason to stay.
2. Build for AI citation, not just rankings. The daily-use crowd is finding answers through ChatGPT and AI Overviews. Make sure your core content — FAQs, how-tos, product explainers — is structured in a way that AI systems can extract and cite. Short direct answers under clear headers go a long way.
3. Segment your content strategy by age cohort. The 18-to-29 group uses AI constantly but trusts it least. The 30-to-49 group uses it most for work. These audiences need different tone and trust signals. One-size-fits-all AI content will underserve both.
4. Track sentiment around your brand and category. Two-thirds of Americans are anxious about AI. If your content, product, or pitch leans heavily on 'powered by AI' messaging, test how that lands. For some audiences right now, it may be a reason to click away rather than engage.
5. Do not confuse activity for confidence. Adoption is up but optimism is at 16 percent. That means your audience is experimenting, not committed. Retaining them requires earned trust, not just showing up in their AI-generated results.

Background and Context

This is not the first time Pew has flagged the disconnect between AI adoption and AI trust. Their 2024 study already showed Americans were worried about AI spreading inaccurate information. What's changed is the scale of use. Going from 33 percent to 49 percent chatbot usage in roughly two years is a steep climb. The anxiety did not slow adoption — it just came along for the ride.

The older generations using AI less but viewing it more neutrally is a pattern worth watching. As those cohorts encounter AI tools more — through workplace mandates, family members, and search results — it will be interesting to see whether their skepticism grows alongside their usage, the way it has for younger generations.

For the SEO and content marketing world, the biggest backdrop here is Google's own AI pivot. AI Overviews have moved from a cautious rollout to a standard part of the search results page. The users showing up in your organic traffic are increasingly arriving after an AI already tried to answer their question. Winning their click — and their trust — is now a layered problem that mixes traditional SEO with brand credibility and content quality in ways that were not as pressing two years ago.

I've watched the conversation at conferences shift noticeably over the past year. A year ago the debate was whether to use AI for content at all. Now the debate is about how to use it without losing the authority signals that differentiate your content from everyone else's. This Pew data suggests users are asking the same question from the other side of the screen.

If you want to see how your brand is currently showing up in AI-generated answers, Aergos has a free tool worth checking out. It is a practical first step before you rebuild any part of your strategy around AI visibility.