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1、 Making AI work for Europe March 2026March 2026 Reece Decastro and Nathan Bransden Ipsos|Making AI Work for Europe 25-02825-028190-01|Version 1|Public|This work was carried out in accordance with the requirements of the international quality standard for Market Research,ISO 20252 Ipsos 2026 25-02819

2、0-01|Version 1|Public|This work was carried out in accordance with the requirements of the international quality standard for Market Research,ISO 20252 Ipsos|Making AI Work for Europe 25-02825-028190-01|Version 1|Public|This work was carried out in accordance with the requirements of the internation

3、al quality standard for Market Research,ISO 20252 Ipsos 2026 Contents Executive Summary.5 The economic opportunity and the adoption imperative.5 The current state of AI adoption:uneven and concentrated.5 Human-centric barriers:beyond technology to individual decision-making.6 Principles for building

4、 an environment that supports AI adoption.7 Introduction-Framing AI adoption dynamics in the EU.8 Defining AI and successful AI adoption.9 Our approach.10 Overall findings.10 State of Play:The context of AI adoption across the EU.12 AIs economic potential.12 AI and the EU labour market.14 The EU AI

5、adoption landscape.16 The impact of an adoption gap.20 Questions blocking the decision to adopt AI.21 Technology acceptance.21 Is AI relevant?.22 What is the value?.23 What are the risks?.25 What are the rules?.27 Can I trust AI?.29 Do I have the capability to use AI?.30 Building an environment for

6、adoption.33 Top-down,bottom-up.33 Principle 1:Guide sectors to identify task-specific relevance to build the case for AIs utility and value.34 Principle 2:Supporting the development of organisational capacity and readiness.37 Principle 3:Building AI literacy.39 Areas for Future Research.40 Conclusio