Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
7Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5059555196
ORCID evidence
Observed aliases (1)
- Florence Jaumotte (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Inequality: 1 paper
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Employment: 1 paper
- Skill Acquisition: 1 paper
- Wages: 1 paper
- Governance And Regulation: 1 paper
- Inequality: 1 paper
- Job Displacement: 1 paper
- Research Productivity: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| AI and other new digital skills are appearing in roughly one in ten vacancies in advanced economies and pay a clear wage premium. Yet their spread is linked to sharper labor-market polarization—helping high-skilled workers while hollowing out middle-skilled roles and reducing employment in AI‑exposed occupations with low worker complementarity, with young workers hit especially hard.semantic_scholar | Florence Jaumotte orcid |
Fetched 2026-03-10 | 4 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 4 cumulative citations. This is a coverage summary, not an author score or h-index.