62% of Workers Believe AI Is Cutting Entry-Level Hiring: The Data Behind the Perception Gap

Yet a notable perception gap persists. Despite broad anxiety about the trend, workers still rank pay and job stability above automation concerns when making career decisions . In a prior Indeed Flex survey from August 2025, 59% of recent graduates reported struggling to find entry-level jobs, and 46% said they were turning to temporary work out of concern that AI is replacing full-time roles . At the same time, 54% of recent graduates said they had not received any AI-related training or upskilling from employers , suggesting a gap between awareness of the problem and concrete action.

Bottom line on perceptions: Worry about AI replacing entry-level roles is widespread and highest among recent graduates, but it has not yet displaced traditional job priorities in most workers' decision-making.

Actual Evidence: Employment Declines for Early-Career Workers Since Late 2022

Multiple rigorous studies confirm that the anxiety has a real foundation, though the effects are concentrated and age-specific.

Stanford "Canaries in the Coal Mine" study (Brynjolfsson, Chandar & Chen, updated November 2025): Analyzing ADP payroll data covering millions of U.S. workers, the researchers found that early-career workers (ages 22–25) in the most AI-exposed occupations experienced a roughly 13% relative decline in employment since late 2022, when generative AI tools became widespread . The updated version of the paper reports a roughly 16% relative decline when controlling for firm-level shocks . Employment for older, experienced workers in the same occupations remained stable or grew .

Harvard University study (2026): Examining 62 million workers across 285,000 U.S. firms, researchers found that companies utilizing generative AI saw an approximately 80% decrease in entry-level hiring on a quarterly basis since 2023 .

Revelio Labs data: Entry-level job postings in the U.S. are down 35% since early 2023 .

Dallas Federal Reserve analysis (January 2026): Confirmed a correlation across occupations between employment declines and AI exposure, but only for younger workers, with a slight impact on the aggregate unemployment rate so far .

World Economic Forum (June 2026): Globally, 37% of young workers are employed in occupations with medium-to-high AI exposure — including 69% in Northern America and 63% in Europe — and the contraction at entry level is visible across the UK, US, and Sweden .

Key nuance: The declines are relative — entry-level hiring is not collapsing everywhere, but it is shrinking significantly in AI-exposed fields compared to what would have been expected, and compared to the rest of the labor market. The overall unemployment rate for recent college graduates rose to approximately 5.7% in Q4 2025 .

Researcher Warnings: A Longer-Term Pipeline Problem

Several leading researchers are warning that the current trend, if unchecked, creates a structural talent pipeline crisis.

MIT's Andrew McAfee (co-leads the Initiative on the Digital Economy) warns that companies automating entry-level Gen Z roles are making a "costly long-term mistake." Cutting off talent at its source doesn't just shrink today's workforce — it eliminates the training ground for future senior employees, managers, and specialists . He argues that firms will struggle to find experienced mid-career workers later if they stop hiring juniors now .

Wharton School analysis (2025) concluded that organizations are "inadvertently dismantling the career ladders that have traditionally developed skilled professionals." AI could replace more than 50% of tasks in occupations like market research, meaning juniors never get the apprenticeship-style learning they need .

Harvard Business Review observed that eliminating entry-level roles reduces the headcount that justifies mid-level managers — the pipeline compression compounds as you move up the hierarchy .

The WEF report (June 2026) warns that the thinning entry-level pipeline is a global phenomenon, and that firms abandoning entry-level hiring risk weakening their long-term talent pipeline and slowing AI adaptation itself, because the workers who best understand AI tools often enter through junior roles .

Summary of Key Findings

Overall Assessment

The evidence strongly supports the view that AI is measurably reducing entry-level hiring in exposed occupations, concentrated among younger workers. The Indeed Flex survey captures the public's accurate perception of this trend, though there remains a gap between general anxiety and personal experience. The longer-term pipeline warnings from MIT, Wharton, and the WEF are grounded in established labor economics — if entry-level hiring continues to shrink in AI-exposed fields, the talent pipeline for mid-career and senior roles will thin correspondingly in coming years.