University of Twente Student Theses

Login

Preparing the Automotive Workforce for AI Integration : Skills Development and Regional Challenges

Mohammed, Abdul Raqeeb (2025) Preparing the Automotive Workforce for AI Integration : Skills Development and Regional Challenges.

[img] PDF
8MB
Abstract:The automotive industry is rapidly transforming due to artificial intelligence (AI) integration, demanding new skillsets from workers and challenging existing managerial practices. This thesis investigates the specific skills required for effective AI-driven manufacturing and evaluates the preparedness of managers to identify and address skill gaps among factory workers. By analysing survey responses from managers in both developed and underdeveloped countries, the research highlights critical deficiencies in current skill levels, especially in areas such as predictive maintenance, data analysis, and machine-human interaction. The thesis also identifies regional disparities in the prioritisation and development of these skills. Based on the data collected, a competency model is proposed to guide managers in bridging the gap between present capabilities and future demands. The findings emphasize the need for region-specific upskilling strategies that consider technological advancement levels and infrastructure limitations. Overall, this thesis contributes to understanding the evolving technical skill landscape in AI-driven automotive manufacturing and supports more targeted managerial efforts in workforce development across global regions.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:55 traffic technology, transport technology
Programme:Business Information Technology MSc (60025)
Link to this item:https://purl.utwente.nl/essays/106207
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page