Share of all job postings requiring at least one AI skill, 2014-2025. Only 8 countries have data back to 2014.
In 2014, AI skills barely appeared in job advertisements. By 2025, nearly 1 in 20 job postings in Singapore required at least one AI skill. Italy saw the biggest proportional jump, from just 0.04% in 2014 to 1.33% in 2025, a 30 fold increase. Hover over any line to explore each country’s trend.
Note. Data from Maslej, N., Fattorini, L., Marble, M., Taddeo, M., Manyika, J., & Etchemendy, J. (2025). The AI index 2025 annual report (Lightcast data). AI Index Steering Committee, Stanford University. https://aiindex.stanford.edu; processed by Giattino, C., Mathieu, E., Samborska, V., & Roser, M. (2023). Artificial intelligence. Our World in Data. https://ourworldindata.org/artificial-intelligence
Annual industrial robot installations by country, 2011-2024 (thousands). China’s share rose from 14.5% (2012) to 54.4% (2024).
The robot revolution is being led overwhelmingly by one country. China installed 295,000 industrial robots in 2024 alone more than the combined total of Japan, the United States, South Korea and Germany. Its share of global robot installations rose from just 14.5% in 2012 to 54.4% in 2024. Hover over each area to see exact installation figures.
Note. Data from International Federation of Robotics. (2025). World robotics 2025. https://ifr.org; processed by Giattino, C., Mathieu, E., Samborska, V., & Roser, M. (2023). Artificial intelligence. Our World in Data. https://ourworldindata.org/artificial-intelligence
Industrial robots per 1,000 manufacturing workers vs GDP per capita, 2024. Bubble size = robot density. Taiwan excluded (no GDP match). n = 20 countries.
A multivariate view combining three variables: economic wealth (GDP per capita), robot adoption intensity (robots per 1,000 workers), and world region. South Korea is the most striking outlier: with 122 robots per 1,000 workers, it leads the world by a large margin, despite not being the richest country. The United States, despite its wealth, sits at only 30.7. Hover over any bubble for the full country breakdown.
Note. Robot density data from International Federation of Robotics. (2025). World robotics 2025. https://ifr.org. GDP per capita data from World Bank. (2024). GDP per capita, PPP (constant 2017 international $). Retrieved from Giattino, C., Mathieu, E., Samborska, V., & Roser, M. (2023). Artificial intelligence. Our World in Data. https://ourworldindata.org/gdp-per-capita
Grey dot = 2020, red dot = 2025. Countries ordered by 2025 AI job share. n = 22 countries.
This is the main insight of the story. Every country moved upward between 2020 and 2025: AI job demand is a global phenomenon, not a story about one or two countries. But the countries that were already ahead pulled further away. Poland jumped from 0.35% to 2.92%, the biggest absolute gain in Europe. Chile grew from 0.37% to 2.41% despite being one of the lower income countries in the dataset, a sign that this transition is reaching beyond the wealthiest economies. The grey dot shows each country’s 2020 value and the red dot shows 2025; the longer the bar, the faster that country’s demand for AI skills grew. Hover over any dot for exact figures.
Note. AI job posting data from Maslej, N., Fattorini, L., Marble, M., Taddeo, M., Manyika, J., & Etchemendy, J. (2025). The AI index 2025 annual report (Lightcast data). AI Index Steering Committee, Stanford University. https://aiindex.stanford.edu. GDP per capita data from World Bank. (2024). GDP per capita, PPP (constant 2017 international $). Our World in Data. https://ourworldindata.org/gdp-per-capita
Share of job postings requiring at least one AI skill, 2025. Singapore 4.69% (highest) to Croatia 0.38% (lowest). n = 22 countries.
This is the call to action. The map shades each country by the share of its 2025 job postings that require AI skills. Singapore leads the world at 4.69%, while Croatia sits at just 0.38% a 12 fold difference. The darkest countries are the front runners, but demand is not confined to the wealthiest economies: Chile reaches 2.41%, ahead of several richer European nations. The gap between countries is not closing on its own. Whether the AI job transition works for everyone depends on decisions being made right now by universities, governments and employers. Singapore is too small to see at this scale, so it is marked with a red pin. Hover over any shaded country or the pin for its exact figure.
Note. Grey = no data; Singapore (a city-state) is marked with a red pin so it is visible at this scale. AI job posting data from Maslej, N., Fattorini, L., Marble, M., Taddeo, M., Manyika, J., & Etchemendy, J. (2025). The AI index 2025 annual report (Lightcast data). AI Index Steering Committee, Stanford University. https://aiindex.stanford.edu; processed by Giattino, C., Mathieu, E., Samborska, V., & Roser, M. (2023). Artificial intelligence. Our World in Data. https://ourworldindata.org/artificial-intelligence
Giattino, C., Mathieu, E., Samborska, V., & Roser, M. (2023). Artificial intelligence. Our World in Data. https://ourworldindata.org/artificial-intelligence
International Federation of Robotics. (2025). World robotics 2025. https://ifr.org
Maslej, N., Fattorini, L., Marble, M., Taddeo, M., Manyika, J., & Etchemendy, J. (2025). The AI index 2025 annual report. AI Index Steering Committee, Institute for Human-Centered AI, Stanford University. https://aiindex.stanford.edu
World Bank. (2024). GDP per capita, PPP (constant 2017 international $). Our World in Data. https://ourworldindata.org/gdp-per-capita
This assignment used Claude (Anthropic) to assist with narrative planning . All data sourcing, analysis decisions, chart design choices, and final visualisations were made by the student. The following AI tool is acknowledged in accordance with RMIT Library guidelines.