Labor markets
Each dot is an economy. Its position shows the annual change in the share of online job postings requesting emerging AI skills.
The IMF AI Adoption Index uses Lightcast online postings. Each country value is the percentage that requests at least one skill from the authors’ emerging AI taxonomy. Exposure compares the authors’ high- and low-exposure occupation groups. The geographic and occupational mix of online postings varies across economies.
The overview subtracts the share in the same calendar month one year earlier. An increase from 1% to 2% is +1 percentage point. The horizontal scale expands changes near zero using the inverse hyperbolic sine of the change in percentage points. The tick labels show the original units. Stacking keeps neighboring dots visible. Economies missing either endpoint appear in the country selector. Thin posting samples can produce large changes. IMF data · Ando et al. (2026)
Indeed Hiring Lab reports the percentage of postings containing AI terms as a seven-day trailing average. The chart uses the last available observation in each calendar month. Its broader keyword definition and platform coverage affect comparisons with the IMF series. Indeed methodology and data, CC BY 4.0
These sources measure advertised requirements and mentions. Estimating hiring or displacement requires employment data.