The Future of Work

31.3% of the measured workforce — roughly 44.0 million workers — hold jobs classified as High or Very High AI-exposure. The quadrant below maps every occupation by its exposure score and median salary, revealing which corners of the labour market face the sharpest disruption.

Not all sectors are equal. The treemap tiles every sector by employment size, shaded by average AI exposure. Large, lightly-tinted blocks represent millions of relatively resilient jobs; small, deeply-shaded tiles mark sectors where automation pressure is already acute.

Each circle is a single occupation. Its horizontal position encodes AI exposure; its size scales with total employment. The dense cluster on the right reveals just how many high-employment roles are concentrated in the high-risk zone — with little room to move left.

Countries that specialise in routine cognitive work — data processing, back-office finance, call centres — carry disproportionate exposure. The choropleth colours each country by its weighted AI exposure score, highlighting where economic transitions will be most consequential.

Automation rarely eliminates skill sets entirely — it redistributes demand. The Sankey diagram traces how workers in high-exposure occupations share skills with lower-exposure roles, mapping the most viable reskilling pathways available right now.