Proletarisation of Advisory in AI Settings
Your Name · MPhil Thesis, University of [X], 2025
Advisory work sits at the heart of how organisations make decisions — yet the transformation of that work under AI conditions has received surprisingly little sustained scholarly attention. Most accounts are either breathlessly optimistic (AI empowers advisors) or reductively alarmist (AI replaces advisors). This thesis tries to do something harder: to trace, empirically and theoretically, the structural mechanisms through which AI is reshaping what advisors actually do, and what that means for the profession. The work draws on 38 qualitative interviews across management consulting, legal services, financial advice, and corporate strategy — conducted between 2023 and 2024. It is published openly because these questions matter beyond the academy, and because the people most affected by them — working advisors — deserve access to the research.
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