Americans See AI as Human-Comparable, but Trust in Tech Plummets
A Bentley University-Gallup survey reveals a paradox: as AI's perceived capabilities grow, public confidence in its responsible use is fading.
Americans increasingly view artificial intelligence as capable of performing tasks on par with humans, yet this perceived competence coincides with a sharp decline in public trust. According to a recent survey conducted by Bentley University and Gallup, the gap between human and machine capability is closing in the public eye across several critical sectors.
The survey found that Americans now see AI as comparable to humans in high-stakes areas, including providing medical advice and operating vehicles. However, this recognition of AI's power has not translated into confidence. Public trust in AI, and specifically in the ability of businesses to deploy these tools responsibly, has declined. This erosion of trust is most pronounced among young adults, who are often the most frequent users of the technology.
The Economic Anxiety
This shift in perception comes amid significant economic uncertainty regarding the future of work. The data indicates a widespread belief that AI is not merely a tool for augmentation, but a replacement for human labor. A substantial majority of Americans—79%—expect that AI will reduce the total number of jobs in the United States over the next decade.
Why the Trust Gap Matters
The divergence between perceived capability and trust suggests growing anxiety over the lack of guardrails in the AI industry. When users view a technology as "human-comparable" but distrust the entities controlling it, the result is often a volatile relationship with the product. For the industry, this means technical breakthroughs in large language models (LLMs) or robotics may be met with social resistance if the perceived risk to employment and ethics outweighs the utility of the tool.
What's Next
As AI continues to integrate into medical and transport infrastructure, the industry faces a critical inflection point. The focus is likely to shift from proving what AI can do to proving that it should be trusted. Observers will be watching to see if businesses implement more transparent responsible-use frameworks to stem the decline in trust, particularly among the younger demographic who will be most impacted by the projected job losses. This tension suggests that the next phase of AI adoption will be defined not by technical milestones, but by the establishment of social and ethical legitimacy.