Global Labour Market Visualizer

A top-level view of — labour markets — — occupations covering — jobs. Compare how exposed each workforce is to AI, where employment is growing, and how the job mix differs. Select any country to open its full occupation-level visualizer. AI exposure scored 1–10 via LLM, calibrated per economy.

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Average AI exposure

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All metrics for every country in the dashboard
Country Workforce Occupations Avg AI exposure High exposure (7+) Low exposure (1–3) Growth outlook Median pay

Country detail

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Median pay is shown in local currency and is not comparable across countries. The bar on each card shows the workforce split by AI exposure band.

Frequently asked questions

Answers from the data behind this page

Which country's workforce is most exposed to AI?

The United Kingdom has the most exposed workforce, averaging 4.45 out of 10 weighted by employment, followed by Japan (4.25) and Canada (3.81). Pakistan is the least exposed at 2.35.

How many jobs are highly exposed to AI?

About 110.3M of the 1.02B jobs covered (11%) are in occupations scoring 7 or more out of 10. The United Kingdom has the largest share at 27.6%; Pakistan the smallest at 6.2%.

What does the AI exposure score measure?

Each occupation is scored from 1 to 10 for how much AI could reshape it over the next 5 to 10 years. 1 means almost entirely physical or in-person work; 10 means almost entirely digital work that a language model can already do. Country figures are averages weighted by employment.

Does a high AI exposure score mean a job will disappear?

No. The score measures how much AI could change the work, not whether the job goes away. AI can make each worker more productive, and demand, regulation and preference for human workers all shape what happens. Scores are model estimates for research, not predictions.

Which jobs are most exposed to AI across countries?

Software developers and engineers are among the two most exposed occupations in all 9 countries, scoring 8 to 9 out of 10. Data entry clerks score 10/10 in the United Kingdom and Pakistan, and bookkeeping, accounting, administrative and call-centre roles also rank high.

Why do some countries score lower on AI exposure?

Exposure follows the job mix. Economies with more work in agriculture, construction, trade and informal jobs score lower: 31% of Pakistan's workforce is in agriculture, forestry & fishing. Service- and office-heavy economies such as the United Kingdom and Japan score higher.

Where does the data come from?

Each country uses its own official labour statistics: UK: ONS APS 2024 · ASHE 2025; Canada: Statistics Canada LFS · Job Bank; Germany: Destatis · Bundesagentur für Arbeit; China: NBS China · MOHRSS; Japan: Statistics Bureau of Japan · MHLW; UAE: MOHRE · FCSC; Turkey: TÜİK Household Labour Force Survey; Ireland: CSO Ireland LFS · Earnings Analysis (Revenue); Pakistan: PBS Labour Force Survey 2024-25. AI exposure is scored per occupation by a large language model, calibrated for each economy.

Can I compare pay between countries?

No. Median pay is shown in each country's local currency and pay period (monthly for Japan, Turkey and Pakistan), with no exchange-rate or cost-of-living adjustment. Use it to compare jobs within a country, not across countries.