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

A new survey from Indeed Flex, published in July 2026, finds that nearly two-thirds of U.S. workers believe AI is shrinking entry-level job opportunities. The anxiety is concentrated among recent graduates, who are most likely to see the trend firsthand. But when workers make career decisions, they still rank pay and job stability above automation fears — a perception gap that raises an important question: is the worry outpacing the reality?

The short answer is that the worry is well-founded, but the effects are concentrated and age-specific. Multiple peer-reviewed studies and institutional analyses confirm that early-career workers in AI-exposed fields have experienced real employment declines since late 2022. The broader labor market, however, remains stable, and the deepest impacts are yet to compound.

The Indeed Flex Survey: Broad Anxiety vs. Personal Experience

The July 2026 Indeed Flex survey of nearly 2,000 U.S. workers found that 62% believe companies are reducing entry-level hiring because AI is replacing routine tasks . Recent graduates are the most likely age group to hold this view .

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

Finding	Source	Year
62% of workers believe AI is reducing entry-level hiring	Indeed Flex survey	July 2026
59% of recent graduates struggling to find entry-level jobs	Indeed Flex survey	August 2025
~13–16% relative employment decline for ages 22–25 in AI-exposed occupations since late 2022	Stanford (Brynjolfsson et al.)	2025–2026 (updated)
80% decrease in entry-level hiring at AI-adopting firms since 2023	Harvard study	2026
35% drop in U.S. entry-level job postings since early 2023	Revelio Labs	2026
Decline concentrated in young workers; experienced workers unaffected	Stanford, Dallas Fed	2025–2026
Recent graduate unemployment rate ~5.7% (Q4 2025)	iCIMS	2026
Pipeline risk: eliminating junior roles starves future senior talent pool	MIT (McAfee), Wharton, WEF	2025–2026

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.