53% of US Workers Now Fear AI Will Cost Their Job — HR Must Respond

A new Reuters/Ipsos poll released on June 12, 2026, reveals that a slim but significant majority of Americans—53 percent—are now worried that artificial intelligence could eventually cost them or someone in their household a job. The six-day survey, completed June 9 among 4,531 adults nationwide (margin of error ±2 percentage points), marks a pivotal snapshot of public sentiment as AI adoption accelerates across industries. While 37 percent of respondents expressed no concern and 10 percent were unsure, the findings underscore a deepening national anxiety that is not confined to any single demographic: the fear crosses age groups, genders, and education levels. This pervasive unease comes against the backdrop of a robust U.S. labor market that continues to add jobs, yet the shadow of AI-driven displacement is lengthening. Intuit’s announcement last month that it would cut 17 percent of its global workforce to reorient around artificial intelligence exemplifies the concrete employment shifts already underway. The poll also uncovers a sharp political divide: 61 percent of Democrats voice concern about AI-related job loss in their household, compared to just 47 percent of Republicans—a 14-point gap that likely reflects differing views on technology, regulation, and economic security. Such polarization could influence the policy debate as lawmakers grapple with AI governance, worker protections, and re-skilling initiatives. The human toll is not abstract. Jennifer Schalhoub, a 62-year-old freelance writer from New Jersey, told Reuters she recently lost a gig writing policy advocacy letters and suspects AI was behind it. “AI is taking over because people care less and less about the quality of the work that gets produced,” she said, voicing a sentiment that resonates far beyond her profession—a fear that automation not only replaces tasks but devalues human craftsmanship. Her story illustrates the gap between macroeconomic statistics and lived experience: while mass unemployment has not yet materialized, individual displacement is already occurring, often in ways that are poorly captured by traditional labor data. This duality—macro resilience versus micro disruption—poses a challenge for businesses, policymakers, and workers alike. Companies embracing AI for efficiency may underestimate the internal morale costs: when 53 percent of the adult population harbors job-loss fears, employee engagement and trust can erode quickly. For HR leaders, the poll is a call to action: proactive communication about AI roadmaps, transparent upskilling pathways, and a renewed focus on the human aspects of work are no longer optional. The labor market’s current strength provides a window of opportunity to manage the transition—but that window may close if public anxiety translates into resistance, disengagement, or political backlash. Looking ahead, the trajectory of AI development suggests these fears will intensify before they subside. As large language models, computer vision, and robotic process automation mature, roles once considered safe—from writing to coding to paralegal work—face increasing encroachment. The Reuters/Ipsos data does not track change over prior years, but anecdotal evidence and the rising volume of AI-related layoff announcements indicate the trend is accelerating. If a substantial portion of the workforce feels threatened, policy responses could range from universal basic income pilots to stricter AI deployment regulations, especially in an election year where Democrats may leverage the issue. Conversely, businesses that integrate AI while visibly investing in their human capital may gain a competitive edge in talent retention and public goodwill. The poll serves as both a warning and a roadmap: address the anxiety head-on, or risk letting it fester into a broader societal rift over the future of work.