Key Developments

New research from Anthropic’s March 2026 report “Labor market impacts of AI: A new measure and early evidence” challenges widespread fears about AI-driven unemployment, finding “no systematic increase in unemployment for highly exposed workers since late 2022.” However, the study reveals targeted impacts, with “suggestive evidence that hiring of younger workers has slowed in exposed occupations.”

Stanford economists presented concrete data showing entry-level software developer hiring for workers ages 22-26 is down 20%, while call center hiring has dropped 15%. These represent current impacts rather than future projections, marking the first clear evidence of AI’s selective labor market effects.

Industry Context

European data tells a more optimistic story. Research covering over 12,000 EU firms shows AI adoption increases labor productivity by 4% on average with no evidence of reduced employment in the short run. The European Central Bank’s March 2026 analysis suggests AI could “boost corporate profits and create entirely new types of jobs” while acknowledging potential displacement risks.

This mixed picture reflects what the Peterson Institute calls “inconclusive” evidence, noting that “claims about harmful impacts on particular groups of workers are premature.”

Practical Implications

For Irish and EU employers, the regulatory landscape is shifting rapidly. Many AI tools used in HR will be classified as “high risk” under the EU AI Act, triggering strict obligations including mandatory human oversight and transparency requirements. Full application was initially scheduled for August 2026.

The EU’s Skills Union initiative, marking its first anniversary in March 2026, emphasizes that “skills are a decisive factor for competitiveness, innovation and resilience” as Europe navigates green and digital transitions.

Companies should focus on complementary investments, particularly workforce training, as Carnegie Endowment research shows productivity gains “depend heavily” on these supporting measures.

Open Questions

Researchers emphasize caution, noting that “economists and researchers have been terrible at predicting the effects of new technologies on work and workers.” The full impact of AI on employment remains uncertain, with effects varying significantly by sector, age group, and geographic region.

The contradiction between European productivity gains and targeted US hiring slowdowns suggests national policy frameworks and implementation approaches will significantly influence outcomes.

Source: Anthropic Research