What was examined
The research examines generative-AI exposure across 135 countries. It links differences in possible impacts to digital infrastructure and the tasks performed within occupations. Higher exposure in advanced economies does not mean lower-income economies face no disruption. [1]
An exposure estimate is not a redundancy forecast
The ILO highlights uneven access to productivity benefits. Some workers lack the connectivity needed to use tools, while tasks within similarly named jobs differ across countries. This March study is background research revisited in October, not a new monthly employment count. [1]
ADM perspective
Workforce planning should start at task level and involve the people doing the work. Track which tasks change, what training is needed and whether quality or workload improves. Avoid converting a modelled exposure percentage directly into a headcount-reduction target.
Read the original sources
The original publications provide the full detail, evidence and limitations.
- International Labour Organization / World Bank · Institutional research summaryNew ILO-World Bank paper highlights uneven global impact of generative AI on jobs
An AI-assisted, source-led summary. “ADM perspective” is editorial interpretation, separate from the source’s findings. Our editorial approach.