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The world of work is being impacted by a fourth industrial revolution, transformed by artificial intelligence (AI) and other emerging technologies. With forecasts suggesting large shares of workers, displaced by automation, in need of upskilling/reskilling, the design of active skills policies is necessary.

Conventional methods used to anticipate technological change and changing skill needs, such as skill surveys and forecasting, have limited scope to provide insights into emerging trends. With the increasing use of big data and AI methods, analysts have new ‘real-time’ tools at their disposal. Skill foresight techniques are also increasingly used to gauge in-depth stakeholder information about future technologies and skill needs.

This practical guide by the European Centre's for the Development of Vocational Training (Cedefop) aims to inform analysts and policy-makers about available skills anticipation methods used to navigate through the uncertainty of changing technologies and skill demands. In particular, the publication focuses on conventional skills intelligence methods of surveys and forecasting.

Skills intelligence publication details

Target audience
Digital skills for the labour force.
Digital technology / specialisation
Digital skill level
Basic
Intermediate
Geographic scope - Country
Austria
Belgium
Bulgaria
Cyprus
Romania
Industry - field of education and training
Generic programmes and qualifications not further defined
Type of initiative
EU institutional initiative
Publication type
Report