Public Trust in AI Declines as Skepticism Outpaces Adoption

Public concern over artificial intelligence in the U.S. has outpaced adoption, with 52% of Americans more concerned than excited about AI as of 2023, according to the Pew Research Center. This skepticism is increasingly linked to a broader decline in trust toward the government institutions tasked with regulating the technology.

The shift in sentiment is sharp. In 2021, the Pew Research Center reported that 37% of Americans were more concerned than excited about AI. By 2023, that number jumped to 52%, reflecting a growing anxiety about the technology’s impact on the workforce and personal privacy. Today, a majority of U.S. adults believe AI will have a negative effect on their own lives and society at large.

Why is public concern about AI increasing?

Fear of job displacement and the spread of misinformation drive much of the current skepticism. According to a Pew Research Center analysis, the rapid integration of generative AI tools like ChatGPT into the workplace has accelerated these fears. Users aren’t just worried about the software; they’re worried about who controls it and whether the benefits will be shared or concentrated among a few tech giants.

The lack of transparency in how AI models are trained also fuels distrust. When companies don’t disclose the data sources used to build their models, the public often perceives the technology as a “black box,” making it harder to trust the outputs or the intentions of the developers.

How does trust in government affect AI regulation?

Persuading the public to trust AI is difficult when trust in the regulators is already low. According to Gallup, confidence in the federal government has hit historic lows over the last decade. Because the U.S. government is the primary body responsible for creating safety guardrails and ethical standards for AI, this institutional distrust carries over to the technology itself.

If citizens don’t believe the government can effectively oversee big tech or protect consumer data, they’re less likely to believe that AI-powered systems—even those approved by regulators—are safe. This creates a paradox where the tools designed to increase efficiency are met with resistance because the oversight mechanisms are viewed as unreliable.

What are the current regulatory efforts to build trust?

The U.S. government has attempted to address these concerns through targeted directives rather than comprehensive legislation. In October 2023, the White House issued an Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence. This order requires developers of the most powerful AI systems to share their safety test results with the government before public release.

This approach differs significantly from the European Union’s strategy. The EU AI Act, the world’s first comprehensive AI law, uses a risk-based framework. It bans certain AI applications entirely—such as social scoring—and imposes strict transparency requirements on “high-risk” systems. By codifying these rules into law, the EU aims to create a predictable legal environment that fosters consumer trust more effectively than the U.S.’s reliance on executive orders and voluntary commitments from tech companies.

Comparison of Public Sentiment and Regulatory Approaches

The gap between public fear and regulatory action is evident when comparing the U.S. and EU frameworks:

Frequently Asked Questions

Does higher AI adoption lead to more trust?

Not necessarily. Pew Research data suggests that concern is rising even as adoption increases. This indicates that people are using the tools out of necessity or curiosity while remaining skeptical of the long-term implications.

What is the biggest driver of AI skepticism?

Job loss and the erosion of truth through “deepfakes” are the primary drivers. When people can’t distinguish between human-generated and AI-generated content, their trust in digital information collapses.

Will the EU AI Act influence U.S. policy?

It’s likely. Many global tech firms prefer a single set of rules. If the EU’s strict standards become the global benchmark, U.S. companies may adopt them voluntarily to maintain market access, effectively “exporting” EU regulation to the U.S.

The trajectory of AI adoption in the U.S. depends less on the capabilities of the software and more on the perceived integrity of the institutions governing it. Until there’s a measurable increase in trust toward regulatory bodies, public skepticism is likely to remain a significant barrier to the technology’s integration into critical infrastructure.