Unemployment rates across major economies diverged sharply in early 2026, reflecting different monetary policy paths, industrial structures, and demographic trends. The OECD average unemployment rate stood at 4.9% in January, slightly below the long-term average but masking significant variation between countries.
Country-by-Country Snapshot
The United States reported unemployment of 3.9% in January, edging up from 3.5% a year earlier as higher interest rates began to cool hiring. The economy added an average of 165,000 jobs per month in Q4 2025, down from 250,000 in the same period a year prior. The services sector remained the primary employer, while manufacturing showed weakness.
The eurozone unemployment rate was 6.1%, with stark differences between member states. Spain (10.8%) and Greece (9.3%) recorded the highest rates, while Germany (3.4%) and the Netherlands (3.6%) had the lowest. Youth unemployment (under 25) across the eurozone averaged 13.4%.
Japan maintained its characteristically low unemployment rate of 2.4%, reflecting structural labour shortages due to an ageing and shrinking workforce. The country has increasingly turned to automation and immigration to fill vacancies, though cultural and regulatory barriers limit the pace of change.
The United Kingdom reported 4.4% unemployment, with notable regional disparities. London and the South East had rates below 3.5%, while some northern regions exceeded 5.5%. Youth unemployment in the UK reached 11.8%.
The AI Automation Question
The International Labour Organisation estimated that AI technologies could affect approximately 14% of jobs in OECD countries over the next decade, with administrative, legal, and financial services roles most exposed. However, historical evidence suggests that technology tends to create new categories of employment even as it eliminates existing ones. The net effect on unemployment remains uncertain.
Some countries have begun implementing AI-related workforce policies. Singapore launched a SkillsFuture programme providing workers with credits for AI training. France introduced a proposal for an "AI adjustment fund" to support displaced workers.
For OECD unemployment data, visit OECD Data. For US jobs data, see US Bureau of Labor Statistics.