AI’s Hidden Labour Market Toll: Entry-Level Jobs Face 14% Hiring Drop as Skills Gap Widens

New analysis of employment patterns in the post-ChatGPT era reveals a troubling trend: the AI revolution is not creating equal labour market disruption. Instead, it’s concentrating job losses among entry-level positions and younger workers, while simultaneously accelerating wage growth for those with AI skills.

Key Findings: A Tale of Two Labour Markets

According to recent Bureau of Labor Statistics research, a group of 18 occupations flagged as exposed to AI—accounting for roughly 10 million US jobs—saw a 0.2% employment drop between May 2024 and May 2025. This contrasts sharply with overall employment growth of 0.8% during the same period.

The impact has been particularly acute for young workers. Data shows a 14% drop in the job-finding rate for entry-level positions in AI-exposed occupations since ChatGPT’s release, compared to 2022 baseline rates. This suggests generative AI adoption is actively reducing entry-level hiring, particularly when tasks can be readily automated.

Demographic analysis paints a troubling picture: employees in the most AI-exposed roles are disproportionately female, older, more educated, and higher-paid. Customer service representatives and certain secretarial and sales roles have been particularly hard hit, with these occupations experiencing heavy losses for a second consecutive year in 2025.

The Skills Wage Gap: Winners and Losers

While those without AI skills face contracting employment opportunities, workers with generative AI capabilities are seeing significant wage growth. This divergence signals an emerging two-tier labour market where AI competency has become a critical career differentiator.

Workers in roles augmented by AI—particularly higher-paid, higher-skilled positions—appear positioned to benefit from productivity boosts and corresponding wage increases. However, this benefit is not evenly distributed across the workforce.

Why This Matters for Ireland and Europe

These patterns have direct implications for European labour markets. The EU AI Act’s August 2026 employment compliance deadline means Irish recruiters and HR technology providers must urgently audit hiring automation systems for discriminatory bias. The data suggests AI-driven hiring tools are already concentrating job losses among specific demographic groups.

Furthermore, the entry-level hiring collapse signals a potential pipeline crisis for European tech talent development. If generative AI systems are systematically reducing opportunities for junior roles—traditionally the pathway into tech careers—Europe faces a compounding skills shortage in the years ahead.

The Job Postings Paradox

Interestingly, recent job postings analysis provides a more muted picture. Despite the documented employment declines, job postings show limited evidence of a distinct AI-driven collapse in labour demand. This suggests the disruption may be more subtle: fewer entry-level positions being created, but overall hiring still occurring in higher-skilled roles.

It’s also worth noting that less than 10% of workers and vacancies are concentrated in occupations with high AI exposure (0.4+), meaning the disruption remains geographically and sectionally concentrated—though precisely where is crucial to understand.

Open Questions for European Policymakers

  • How are these US labour market patterns manifesting in EU member states, particularly Ireland?
  • Are European recruitment platforms showing similar entry-level hiring declines?
  • What retraining or apprenticeship interventions can prevent a lost generation of junior tech workers?
  • How should the AI Act’s transparency requirements evolve to address discriminatory hiring automation?

Source: Bureau of Labor Statistics Analysis