Where AI is pulling demand
Growth in AI roles and skills, % (mixed horizons).
About this data
AI/ML engineer postings have risen ~143% year-over-year, AI-skill mentions appear in job postings ~297% more than a decade ago, and the BLS projects data-scientist roles to grow ~34% over 2024–2034. The horizons differ per bar — annual, decade-over-decade, and a ten-year projection — so read each value’s basis rather than comparing the bar heights directly.
Growth in AI roles and skills (%). Horizons differ per bar (see each value's basis): year-over-year, decade change, and the 2024–2034 BLS projection.
View data & sources →Data table
| pct | label | series | source_ref | value_basis |
|---|---|---|---|---|
| 143.2 | AI/ML engineer postings (YoY) | role_growth | nu-ai-stats | AI/Machine Learning Engineer positions +143.2% year-over-year |
| 297 | AI skills in job postings (decade) | role_growth | nu-ai-stats | AI skills requested in 2.5% of US job postings — a 297% increase over the past decade |
| 34 | Data scientist roles (2024–34, BLS) | role_growth | bls-oes | BLS: data-scientist employment projected +34% over 2024–2034 |
Methodology & sources
Last updated: Jul 17, 2026Methodology
Two source-backed charts: share of jobs exposed to AI (%, IMF) and growth in AI-related roles and skills demand (%). Exposure figures (40% globally, 60% in advanced economies) trace to the IMF. Growth figures — AI/ML engineer postings +143.2% YoY, AI skills in postings +297% over the decade, and BLS’s +34% data-scientist projection for 2024–2034 — trace to the cited statistics compilations and BLS. CAVEAT: the growth bars use different time horizons (year-over-year, decade, and a 2024–2034 projection), noted in each value_basis; they should not be read as like-for-like. Exposure ≠ elimination. Re-verified 2026-07-17.
Sources
Comparisons are informative, not definitive. See each source for definitions and limits.