AI Job Risk by Country
A country's exposure to AI is mostly a story about what its people actually do for work. Economies weighted toward office and back-office roles face faster automation pressure than those anchored in physical, field, or care work.
Nations with large clerical, financial, and business-process sectors, including outsourcing-heavy labor markets, tend to score higher, because that work is text- and rule-based. Economies built on manufacturing, resources, construction, hospitality, and hands-on services hold up better, since much of that work resists automation regardless of how capable models become.
The ranking below compares average AI risk across major economies. Treat a single national number as a broad signal, not a full picture: every country contains both highly exposed office work and durable physical or accountable work. Open a country to see the labor-market mix behind its score.
Country Ranking
| Rank | Country | AI Risk Score | Jobs Analyzed |
|---|---|---|---|
| 1 | Singapore | 50.31 | 116 |
| 2 | United Kingdom | 50.26 | 131 |
| 3 | United States | 49.81 | 139 |
| 4 | South Korea | 47.24 | 115 |
| 5 | France | 46.84 | 128 |
| 6 | India | 46.71 | 114 |
| 7 | Japan | 46.27 | 125 |
| 8 | China | 46.11 | 104 |
| 9 | Canada | 46 | 115 |
| 10 | Spain | 45.96 | 120 |
| 11 | Italy | 45.74 | 120 |
| 12 | Netherlands | 45.67 | 113 |
| 13 | Switzerland | 45.65 | 127 |
| 14 | Sweden | 45.27 | 115 |
| 15 | Brazil | 45.21 | 117 |
| 16 | Mexico | 45.03 | 114 |
| 17 | United Arab Emirates | 44.98 | 113 |
| 18 | Germany | 44.84 | 117 |
| 19 | Australia | 44.15 | 118 |
| 20 | Saudi Arabia | 43.5 | 113 |
Scores run from 0 to 100 and compare occupations with each other. A score is not a probability that the job disappears. Methodology
Frequently asked questions
Q.Which countries are most exposed to AI?
The economies near the top of this ranking are those weighted toward office and back-office work: large clerical, financial and business-process sectors, including outsourcing-heavy labour markets. Economies anchored in manufacturing, resources, construction, hospitality and hands-on services sit lower, because much of that work resists automation regardless of how capable models become.
Q.Why would the same occupation score differently from one country to another?
It does not. The occupation scores are global; what differs between countries is the mix of occupations that make up the economy, and how much weight each sector carries in it. A national figure is a weighted view of that mix, which is why two countries can share every individual score and still land in different places.
Q.Does a low national figure mean my job is safe there?
No. A national figure averages across an entire labour market, and every country contains both highly exposed office work and durable physical or accountable work. Where you sit inside that range matters far more than which side of a border you are on. Use the country page for context and the occupation page for your own reading.
Q.How is a country's figure calculated?
Each country is scored from the occupations we track, weighted by how much its economy leans on each sector, and recomputed weekly alongside the occupation scores. Not every tracked occupation feeds every country — a sector with no weighting for that economy is excluded rather than counted as zero, which is why the number of occupations behind a country figure is smaller than the full tracked set.