Bridging the AI skills gap in Europe: a detailed analysis of AI skills and roles

ResearchComponents.InformationTable.Publication.Authors Willemijn van Haeften, Ran Zhang, Sabine Boesen-Mariani, Xander Lub, Pascal Ravesteijn, Paul Aertsen
ResearchComponents.InformationTable.Publication.PublishedIn 37th Bled eConference – Resilience Through Digital Innovation: Enabling the Twin Transition: June 9 – 12, 2024, Bled, Slovenia, Conference Proceedings
ResearchComponents.InformationTable.Publication.PublicationDate 2024
ResearchComponents.InformationTable.Publication.Lectorates Process Innovation and Information Systems
ResearchComponents.InformationTable.Publication.PublicationType Lecture

ResearchComponents.PublicationContent.Header

This study provides a comprehensive analysis of the AI-related skills and roles needed to bridge the AI skills gap in Europe. Using a mixed-method research approach, this study investigated the most in-demand AI expertise areas and roles by surveying 409 organizations in Europe, analyzing 2,563 AI-related job advertisements, and conducting 24 focus group sessions with 145 industry and policy experts. The findings underscore the importance of both general technical skills in AI related to big data, machine learning and deep learning, cyber and data security, large language models as well as AI soft skills such as problem solving and effective communication. This study sets the foundation for future research directions, emphasizing the importance of upskilling initiatives and the evolving nature of AI skills demand, contributing to an EU-wide strategy for future AI skills development.

Downloads en links

researchcomponents.publicationcontent.personslist.publicationauthors

  • Ran Zhang
    Ran Zhang
    • Lecturer-researcher
    • researchcomponents.publicationcontent.authorlectoratelabelsingle: Organisations in Digital Transition
  • Xander Lub
    Xander Lub
    • Professor
    • researchcomponents.publicationcontent.authorlectoratelabelsingle: Organisations in Digital Transition
  • Pascal Ravesteijn | Professor | Process innovation and information systems
    Pascal Ravesteijn
    • Professor
    • researchcomponents.publicationcontent.authorlectoratelabelsingle: Process Innovation and Information Systems
ResearchComponents.DetailedInformation.Language English
ResearchComponents.DetailedInformation.PublishedIn 37th Bled eConference – Resilience Through Digital Innovation: Enabling the Twin Transition: June 9 – 12, 2024, Bled, Slovenia, Conference Proceedings
ResearchComponents.DetailedInformation.ISBNISSN URN:ISBN:978-961-286-871-0
ResearchComponents.DetailedInformation.Keywords AI skills, AI roles, Europe, workforce development, mixed-method research
ResearchComponents.DetailedInformation.DigitalObjectIdentifier 10.18690/um.fov.4.2024

Process Innovation and Information Systems