The Anatomy of Job Displacement

This chapter examines the vulnerability of administrative roles to artificial intelligence (AI)-driven automation in public administration. Administrative positions are particularly susceptible due to their reliance on structured workflows, rule-based decision-making, and repetitive tasks that AI systems can perform more efficiently. The analysis reveals significant structural vulnerabilities in data processing, compliance verification, and scheduling allocation functions. Socio-economic disparities amplify displacement impacts, with high-income countries offering better retraining opportunities compared to emerging economies where public employment often anchors local communities. The displacement creates profound psychological effects, including diminished sense of purpose and social alienation, while community-level impacts include reduced consumer spending and economic destabilisation. However, automation also presents opportunities to redefine administrative work towards higher-order functions requiring human judgement, creativity, and interpersonal skills. Success in managing this transition requires proactive investment in technological infrastructure, comprehensive retraining programmes, and policies that prioritise both economic efficiency and social equity in the transformation of public-sector employment.