PhD defence Nicholas Rounding
Supervisor: Prof. Dr. Didier Fouarge,
Co-supervisors: Prof. Dr. Mark Levels, Dr. Marie-Christine Fregin
Keywords: Technology, Labour, AI, Automation
"Tasks, Technology, and Labour: Empirical Studies on Automation and Al in the Worplace"
This thesis explores how new technologies, and Artificial Intelligence (AI) in particular, reshape work. It sheds light on how tasks are allocated between capital and labour, how adoption unfolds within firms, and whether new tools displace or reinstate workers. Across four empirical chapters, a central theme emerges: the labour market effects of new technologies are not determined by technological capability alone, but depend on the context in which tools are adopted, including institutional settings, organizational trust and oversight, and the way tools are deployed.
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