Job Crafting Under the Intervention of Large Language Models: Skill Premium, Task Evolution, and Professional Identity Conflicts

Abstract

This paper aims to explore the deep mechanism of how knowledge employees reshape their work after the new generation of artificial intelligence technology represented by large language models intervenes in the workplace. This paper breaks the limitation of a single perspective and constructs a systematic analysis framework covering macro skill premium, meso-task evolution, and micro-occupational identity conflict. The research shows that large language models not only blur the physical and intellectual boundaries of traditional cognitive labor, but also trigger a drastic restructuring of the skills pricing mechanism in the labor market, resulting in the coexistence of the depreciation of traditional hard skills and the polarization of the premium of new soft skills. Under this dual impact, professionals are faced with profound deconstruction of expert authority and existential anxiety, and must repair the psychological contract through deep cognitive reshaping and identity recontextualization. This paper expands the theory of work reshaping in the intelligent era and provides a forward-looking theoretical basis for enterprises to reconstruct human resource management systems.