The automotive-mobility sector is undergoing rapid change, driven by digitalisation, sustainability, new business models, and supply chain resilience needs. The TRIREME [1] project addresses these shifts through continuous skills intelligence, workshops, and surveys. This paper presents findings from 2024, combining desk research, expert workshops, and a survey of 105 stakeholders. Results show high awareness of key trends and drivers of change (both called trends within the TRIREME project) like Artificial Intelligence (AI) and Machine Learning (ML), electromobility, and circular economy, but readiness gaps persist, especially in cybersecurity, data analytics, and supply chain sustainability. The sector faces significant impacts on job roles and skills, with increasing demand for AI specialists, green transformation experts, and advanced logistics professionals. However, training availability remains inconsistent, particularly for SMEs. The project highlights the need for flexible learning pathways and stronger industry-education collaboration. Future work will expand trend monitoring, validate competence frameworks through pilots, and explore AI-based foresight tools to enhance workforce adaptability and sector competitiveness.

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Strategic Foresight and Skills Intelligence for the Automotive-Mobility Ecosystem: Insights from the TRIREME Project

  • Marek Spanyik,
  • Jakub Stolfa,
  • Svatopluk Stolfa,
  • Michael Alexander Kosinar

摘要

The automotive-mobility sector is undergoing rapid change, driven by digitalisation, sustainability, new business models, and supply chain resilience needs. The TRIREME [1] project addresses these shifts through continuous skills intelligence, workshops, and surveys. This paper presents findings from 2024, combining desk research, expert workshops, and a survey of 105 stakeholders. Results show high awareness of key trends and drivers of change (both called trends within the TRIREME project) like Artificial Intelligence (AI) and Machine Learning (ML), electromobility, and circular economy, but readiness gaps persist, especially in cybersecurity, data analytics, and supply chain sustainability. The sector faces significant impacts on job roles and skills, with increasing demand for AI specialists, green transformation experts, and advanced logistics professionals. However, training availability remains inconsistent, particularly for SMEs. The project highlights the need for flexible learning pathways and stronger industry-education collaboration. Future work will expand trend monitoring, validate competence frameworks through pilots, and explore AI-based foresight tools to enhance workforce adaptability and sector competitiveness.