We study how artificial intelligence is reshaping the world of work.
An economics-led, multi-disciplinary research lab at Örebro University and RATIO, founded in 2019. Örebro is a node of AISCAF, the WASP-HS research cluster. We combine administrative registers from several European countries with job advertisements, surveys and public cross-country data. The AIEL Monitor is where part of that work becomes public: open indicators on AI and work across countries, with Sweden in depth, updated as the data arrive.
39% of Swedish jobs sit in the most AI-exposed quarter of occupations, among the highest of 36 countries (mean 30%). Exposure marks where AI overlaps with the work, not what follows from it.
What the lab is
A research lab first.
The monitor is our measurement infrastructure made public: the same data and measures our own research runs on. We work across countries on public data and international comparisons, and, rarely for any lab, on linked employer–employee register data in several of them: deepest in Sweden, reaching Denmark, Portugal and Germany, and expanding to more. Economists work alongside sociologists, business scholars and computer scientists, because a labour market changed by AI cannot be read from one discipline or one country alone.
Register-grade evidence
Linked employer–employee register data at population scale in Sweden: annual, with 4-digit occupations (LISA), and monthly individual employment (AGI); plus comparable access in a handful of other countries. Rare reach, paired with 8.1M distinct public job ads (11.2M ad records).
Multi-country
Register-level in Sweden, Denmark, Portugal and Germany, with more countries planned; 30-plus via EU-LFS and international job-ad data for external validity.
Multi-disciplinary
Economics, sociology, business administration and computer science, partly through the WASP-HS cluster AISCAF, co-led with Uppsala and Stockholm.
Open public goods
Peer-reviewed research, plus citable, versioned public tools: the AIEL Monitor and the DAIOE exposure measure and Explorer.
Flagship · The AIEL Monitor
Sweden, in depth: four things the live job-ad data show.
One of the monitor's country cuts, read from Sweden's public job-ad stream (JobTech / Platsbanken). Every figure is measured from the ad text with a versioned, citable term list. Where something is not yet measured, we say so.
We measure AI demand in job ads as a range. The floor counts ads that ask for AI in the job's own requirements; the ceiling, our broadest measure of AI demand written in words, adds AI terms anywhere in the ad, and the one in eight ads that only say “AI” which turn out, read by hand, to be genuine AI roles. In 2025 AI demand was between 0.54% and 1.23% of ads; 2026 so far (January–June) runs higher, between 0.59% and 1.47% (provisional). Counting naively every ad that mentions AI in any form, a bare “AI” included, would bring the share to 2.42% in 2025 and 3.34% in 2026 so far; most of that difference is AI talk rather than demand. Ads naming an AI term anywhere, the thin middle line, reached 1.06% in 2025, 38 times the pooled 2006–2008 level, with generative-AI skills now 27% of them.
The AI-Econ Lab Monitor
How AI shows up in the labour market: AI in Demand (live), the Occupations Explorer (live), AI exposure across countries (live), and modules on adoption, augmentation and barriers in development.
Open the monitor →DAIOE
Our data-driven AI Occupational Exposure measure, published openly and mapped across SOC / ISCO / SSYK so others can join it onto their own data.
Explore DAIOE →Research