August 19, 2026, (Inside AI) — A growing majority of young adults in the United States now say they are more concerned than excited about artificial intelligence, according to a new survey from the Pew Research Center. The shift marks a sharp reversal from just two years ago and signals deepening public unease as AI tools become more embedded in daily life.
Among adults under 30, 55 percent reported feeling more concerned than excited about AI, up from 39 percent in 2024. Across all age groups, 52 percent of US adults expressed greater concern than excitement, compared with 37 percent in 2021. The survey of 3,488 US adults was conducted from June 22 to June 28, 2026.
The findings reveal a widening gap between the industry's optimistic messaging and public perception. Tech executives continue to promote AI as a productivity engine, yet ordinary Americans increasingly see it as a threat to jobs and economic stability.
Job Fears Intensify Across Generations
The survey found that 71 percent of respondents believe AI will lead to fewer job opportunities over the next two decades, up from 64 percent in 2024. The sharpest rise occurred among adults under 30, where the figure jumped from 61 percent to 73 percent.
Adults aged 65 and older were the least likely to expect job losses, at 63 percent, though that still represented a five-point increase from the prior survey. Roughly one in ten respondents said they were more excited about AI in daily life, while a third felt equally concerned and excited.
The data underscores a broader global trend of cooling sentiment toward AI. Concerns extend beyond employment to rising electricity costs, environmental impact, and higher consumer prices. Yet AI executives remain largely unmoved by the backlash, arguing that productivity gains will ultimately benefit businesses and consumers.
Spending Surge Meets Financing Questions
Companies including Nvidia, Google, Meta, Amazon, Microsoft, and Oracle have collectively spent more than $1 trillion on AI projects and infrastructure in just three years. Demand for Nvidia's chips has driven the company's market value up fivefold in the same period.
That massive capital outlay has drawn scrutiny from analysts who point to a so-called circular financing model at the core of the AI ecosystem. One company pays another for products or services, invests in it, or provides loans and leases. The second company then buys from the first. The question is how long this model can hold if a single major player stumbles.
Pressure is also mounting from shareholders for faster profits and from policymakers to distribute AI's economic gains more broadly. While tech firms claim AI is creating jobs, the reality is uneven. Traditional roles and degrees are losing relevance, while demand for AI engineers is surging.
A separate LinkedIn survey published this week identified the 12 fastest-growing AI jobs based on platform data. In the US, AI job postings have roughly doubled since 2023, with typical compensation around $177,000, compared with $80,000 for non-AI roles. AI engineers now hold significant bargaining power, often securing equity and restricted stock units rarely seen in other sectors.
The Pew findings arrive as policymakers and industry leaders face mounting questions about who benefits from the AI boom. For now, the answer appears increasingly lopsided: a small class of highly paid engineers and investors on one side, and a wary public on the other.
