Only 16% of Americans Think AI Is Good for Society — What That Tells Business Leaders

Wall Street may be pouring billions into artificial intelligence, but the average American is not buying what the industry is selling. A new study from Pew Research, reported by Lucas Ropek at TechCrunch AI on June 17, 2026, reveals a striking disconnect: only 16 percent of Americans believe AI will have a positive impact on society. That number is not a typo, and business leaders who dismiss it do so at their own risk.

The Numbers Behind the Skepticism

The Pew Research findings paint a picture of a public that is, at best, deeply uncertain about the technology reshaping their workplaces, news feeds, and daily lives. While investor confidence in AI has rarely been higher, everyday Americans appear to be watching the same headlines and arriving at very different conclusions.

This is not a fringe sentiment. When fewer than one in five people think a transformational technology will benefit society, that represents a mainstream concern — not a niche fear held by technophobes. The gap between how financial markets value AI and how ordinary people feel about it is one of the defining tensions of 2026.

Why the Trust Gap Is a Business Problem

For companies deploying AI tools internally or customer-facing, this public skepticism is more than a PR headache. It is a practical obstacle with real consequences.

Consider what happens when a business rolls out an AI-powered customer service system or an automated hiring tool. Even if the technology works flawlessly from a technical standpoint, customers and employees who distrust AI will push back. That resistance slows adoption, creates friction, and can damage the brand relationships that took years to build.

The trust problem is compounding. As more AI-generated content circulates online, and as high-profile failures of AI systems continue to make headlines, skepticism tends to deepen rather than resolve itself naturally. Businesses that ignore this dynamic and simply assume their customers or employees will "come around" are likely to be disappointed.

There is also a workforce dimension here. If your team is skeptical about the AI tools you are asking them to use, you will see lower engagement, slower onboarding, and ultimately less return on your technology investment. Rolling out tools without addressing the underlying anxiety is a recipe for wasted spend.

What Smart SMBs Should Do Differently

The instinct for many business owners is to push through the resistance and focus on efficiency gains. That instinct is understandable, but it misses the bigger opportunity.

Businesses that will win the AI adoption game in the next few years are those that bring their teams and customers along transparently, rather than deploying AI quietly and hoping no one notices. That means:

Being explicit about where and how AI is used in your products or services
Giving employees genuine input into which tools are adopted and how
Starting with AI applications that solve obvious, low-stakes problems before moving to higher-sensitivity areas
Measuring trust and comfort alongside productivity metrics

The companies that build internal AI literacy now — not just tool adoption, but genuine understanding — will have a significant competitive advantage as public attitudes continue to shift. Understanding how to evaluate AI tools for your team is no longer optional. It is foundational.

It is also worth noting that the Pew data does not mean people want AI to disappear. It means they want to feel informed and in control. That is a solvable problem for organizations willing to invest in communication and change management alongside the technology itself.

The Opportunity in the Skepticism

Counterintuitive as it sounds, this trust gap is actually an opening for businesses that approach AI adoption thoughtfully. When your competitors are racing to automate everything and your customers are nervous about what that means, slowing down enough to explain your approach, invite feedback, and demonstrate responsible use is a genuine differentiator.

Exploring AI adoption strategies for small businesses is increasingly important context for any team navigating this landscape.

Platforms like WRRK.ai are designed with this reality in mind — giving business teams structured, practical ways to integrate AI into workflows without the opacity that breeds distrust in the first place.

The Pew Research data is a warning to the industry. But for individual businesses willing to read it carefully, it is also a roadmap.

Original reporting by Lucas Ropek, TechCrunch AI. Read the original article here.

Start building AI habits your team will actually trust at WRRK.ai.

Frequently Asked Questions

Why do so few Americans trust AI despite its rapid growth?

According to the Pew Research study covered by TechCrunch, public skepticism about AI stems from concerns that outpace the industry's efforts to communicate transparently. High-profile failures, fears about job displacement, and a general lack of visibility into how AI systems make decisions have all contributed to low confidence, even as investment and deployment accelerates.

How does public distrust of AI affect businesses using the technology?

When customers and employees are skeptical of AI, adoption slows and friction increases. Businesses can face pushback on AI-powered tools, lower engagement from staff, and reputational risk if their use of AI is perceived as opaque or irresponsible. Addressing trust proactively — through transparency and education — is increasingly a strategic necessity.

What can small businesses do to improve AI adoption among skeptical employees?

Start small and visible. Choose AI applications that solve clear, everyday problems and explain exactly what the tool does and does not do. Involve employees in the selection process, measure their comfort level over time, and avoid deploying AI in sensitive areas before building a foundation of internal trust.

Only 16% of Americans Think AI Is Good for Society — What That Tells Business Leaders