A wave of new polling confirms what many observers suspected: the generation that grew up with smartphones and social media is the most skeptical of artificial intelligence — and the people building it.
Three separate surveys published this week paint a remarkably consistent picture. Young Americans are souring on artificial intelligence at an accelerating pace, and they have little faith in the billionaire class steering the technology. The data amounts to a public opinion crisis for an industry that has raised trillions of dollars on promises that AI will improve lives — and it raises uncomfortable questions about whether Silicon Valley is building the future for people or at them.
The Poll That Set Off Alarms
The most striking numbers came from a CNBC/Generation Lab survey of 1,088 Americans between the ages of 18 and 34. The results were blunt: when asked whether they trusted nine prominent AI leaders to act responsibly, majorities distrusted every single one.
Palantir CEO Alex Karp fared worst — 81 percent of respondents said they don’t trust him. Palantir Chairman Peter Thiel was close behind at 79 percent distrust. Anthropic CEO Dario Amodei drew skepticism from 76 percent, Alphabet’s Sundar Pichai from 74 percent. Roughly 70 percent expressed distrust of Meta’s Mark Zuckerberg, OpenAI’s Sam Altman, Nvidia’s Jensen Huang, and SpaceX’s Elon Musk.
The “most trusted” AI leader was Microsoft CEO Satya Nadella — and he still carries a 65 percent distrust rating among respondents.
These aren’t close calls. These are near-unanimous votes of no confidence from the generation that will live with these technologies the longest.
The career anxiety numbers are equally striking. Forty-five percent of respondents said they believed AI would have a negative impact on their careers. Only 10 percent thought it would help them. That’s a nearly 5-to-1 ratio of pessimism over optimism — in a cohort that came of age during the AI boom and should theoretically be best positioned to benefit from it.
A Broader Cooling
The CNBC poll didn’t emerge in a vacuum. The annual Bentley-Gallup survey on American attitudes toward technology tells a parallel story. After two years of slowly improving sentiment, 2026 marks a reversal. Thirty-nine percent of Americans now say AI does more harm than good — up from 31 percent in 2025, nearly matching the peak skepticism recorded in 2023.
Among adults aged 18 to 29, the numbers are even starker: 47 percent believe AI does more harm than good, up from 36 percent just a year ago. There’s a generational irony at play here. Young people — the demographic most immersed in AI tools, most reliant on AI-assisted software, most likely to encounter AI in their first jobs — are also the most alarmed by its trajectory.
The survey also noted that 70 percent of respondents now describe themselves as somewhat or extremely knowledgeable about AI, up six points from 2024. Familiarity, it turns out, is breeding contempt. The more people learn about how AI systems are built, trained, and deployed, the less they seem to want them.
The Brand Gap
A third survey, released by research firms Veleonis and co/efficient under the title Building Faster Than Trust, surveyed 1,566 registered voters about eight major technology companies. The findings reveal a striking divide along brand lines.
Legacy technology companies — Amazon, Apple, Google, and Microsoft — are viewed positively by an average 20-point margin. They have decades of consumer relationships, tangible products people use daily, and reputations built on something other than AI alone.
AI-native companies and platforms tell a different story. Anthropic, Meta, OpenAI, and X/xAI are viewed negatively by margins of 20 to 42 points. The companies that have invested most aggressively in frontier AI, and done the most to evangelize its transformative potential, are the ones the public trusts least.
The report’s title — Building Faster Than Trust — captures the dynamic precisely. The pace of AI development has outstripped the industry’s ability to demonstrate trustworthiness, accountability, or genuine concern for the people affected.
The Infrastructure Problem
The distrust isn’t just directed at executives and company brands. It extends to AI’s physical footprint. A Gallup survey on local data center construction found that 71 percent of Americans oppose AI data centers in their area. The concerns are environmental: water consumption, energy demand, pollution, and quality-of-life impacts from massive industrial facilities.
Forty-six percent of respondents said they worry a great deal about the environmental impact of AI data centers, with another 24 percent expressing concern. For an industry that has framed AI as a clean, digital, post-industrial technology, the reality of the infrastructure required to run large language models at scale is landing badly with communities being asked to host it.
What’s Driving the Shift
Several threads run through all of this data. First, there’s the visibility of harms. High-profile incidents — AI-generated misinformation, automated job cuts at major companies, AI-enabled fraud and manipulation — have made abstract risks concrete. Young Americans aren’t reacting to science fiction scenarios; they’re reacting to things that have actually happened.
Second, there’s the concentration of power. The AI industry is dominated by a small number of extremely wealthy individuals making decisions that affect millions of people with limited oversight or accountability. A generation that has watched social media platforms reshape political discourse and mental health landscapes — with consequences the platforms claimed not to anticipate — is understandably wary of a repeat.
Third, there’s the governance vacuum. Forty percent of respondents in the CNBC survey want the federal government to set AI rules. Only 8 percent think AI shouldn’t be regulated at all. The near-consensus for oversight is striking in a polarized political environment. Congress has moved slowly on comprehensive AI legislation, and the gap between what the public wants and what policy has delivered is itself a source of anxiety.
What the Industry Isn’t Hearing
The most uncomfortable implication of this data is that the AI industry’s communication strategy has backfired. The drumbeat of announcements, the benchmark releases, the predictions of transformative abundance — these have not built public trust. They’ve generated a reaction that looks less like excitement and more like wariness at being oversold.
The companies that fare best in public perception — the Microsofts and Apples — are notable for emphasizing AI as a feature within familiar products rather than positioning AI itself as the product. That distinction matters to people trying to evaluate whether they’re being served or being experimented on.
For the leaders who scored worst in the CNBC poll, the challenge isn’t primarily technical. It’s relational. Trust isn’t built by announcing breakthroughs. It’s built by demonstrating, over time, that you’re accountable to the people affected by your decisions. The polling suggests that work has barely begun.
Sources: CNBC/Generation Lab Survey, August 2026; Bentley-Gallup Force for Good Survey 2026; Veleonis/co-efficient Building Faster Than Trust Survey, August 2026; Gallup Survey on Data Center Opposition.
