Published document record

Skills empower workers in the AI revolution

Official metadata

Official title
Skills empower workers in the AI revolution: First findings from Cedefop’s AI skills survey
Official reference
Cedefop 9201; DOI 10.2801/6372704; ISBN 978-92-896-3810-4
Document type
Briefing
Document date
2025-01-30
Document date kind
Publication
Document-date evidence
European Centre for the Development of Vocational Training · Downloads, English edition: 30/01/2025, DOI 10.2801/6372704. — Repository availability used as a date fallback, not an asserted issue day.
Publication date
2025-01-30
Publication-date evidence
European Centre for the Development of Vocational Training · Downloads, English edition: 30/01/2025; Publication month January, year 2025. — Explicit publication evidence for the cited manifestation.
Version label
Policy brief, English edition
Legal status
Non binding
Language
en

Research classifications

These are researcher classifications used to organise and analyse the corpus; they are not official EU metadata.

Record level
Principal
Version status
Final
Temporal collection
Contemporary EU AI policy
Relevance class
Direct AI relevance
Policy stage
Implementation
Corpus tier
Directly related
Sectors
  • Employment and labour
  • Education
Policy membership
  • EU AI policy pathway

Classification evidence

  • Relevance class: Direct AI relevance · European Centre for the Development of Vocational Training · Policy background, pp.3-6; Policy recommendations, pp.22-26. — An EU agency policy brief analysing workplace AI and proposing skills, training and worker-participation measures, including follow-up to the AI Act.
  • Sector tags: Employment and labour · European Centre for the Development of Vocational Training · Policy recommendations, pp.22-25; worker representation, collective bargaining and sharing productivity gains. — Substantive coverage supports this navigation classification; not a claim that every application mentioned is regulated by this document.
  • Sector tags: Education · European Centre for the Development of Vocational Training · Policy recommendations, pp.22-25; AI literacy, training access and continued learning. — Substantive coverage supports this navigation classification; not a claim that every application mentioned is regulated by this document.
  • Provenance tags: Authored by an EU agency or body · European Centre for the Development of Vocational Training · Official title/identity block and institutional attribution. — Attribution follows the issuing institution, not merely its website domain.
  • Provenance tags: Officially published · European Centre for the Development of Vocational Training · Public official full text and corresponding identity metadata. — Confirms official public availability; an exact first release day is separately assessed.

Production provenance

Provenance tags
  • Authored by an EU agency or body
  • Officially published
Named bibliographic authors
None recorded after review
Institutions and roles

Official sources and identifiers

  • Official source · Publisher/host: European Centre for the Development of Vocational Training
  • Official source · Publisher/host: European Centre for the Development of Vocational Training

Research assessment

Inclusion rationale
An EU agency policy brief analysing workplace AI and proposing skills, training and worker-participation measures, including follow-up to the AI Act.
Researcher notes
The published brief is distinct from the survey initiative itself. The 2024 survey covered 11 Member States (Box 3); it is not described here as an EU27 census. Project contacts are not treated as individually credited authors. The PDF contains third-party stock photographs and is not added to public station-hosted downloads in this admission.
Review status
verified

Relationships

Verification

Expanded evidence review
Verified
Reviewed by
Yichen Hao
Evidence review date
2026-09-12T11:57:14.718211Z

The evidence review date is not a separate human sign-off date. Review credit and evidence-review actions

  • Last verified: 2026-09-12T11:57:14.718211Z · Official English evidence retrieved and checked for document identity and cited passages. Archive format: pdf; SHA-256 30e0edca73bd70516c212200487038f5559d63e3ec44b25b7c390a2bb47b1789. Retrieval is not a public-release date. Archival preservation is not a public PDF redistribution licence.
  • Last verified: 2026-09-12T11:57:14.718211Z · Official English evidence retrieved and checked for document identity and cited passages. Archive format: html; SHA-256 489368d960fdde40b610a6cef2d9ebd1ceb2cc86b3179e76a0f96df878a0f916. Retrieval is not a public-release date. Archival preservation is not a public PDF redistribution licence.

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