This paper explores the evolution of occupations within the context of industry and technology life cycles, highlighting the critical yet underexplored intersection between occupational trends and broader economic dynamics. Introducing the Occupation Life Cycle (OLC) model, we delineate five stages (i.e., growth, peak, fluctuation, maturity, and decline) to systematically explore the trajectory of occupations. Utilizing job posting data from one of China's largest recruitment platforms as a novel proxy, our study meticulously tracks the fluctuations and emerging trends in the labor market from 2018 to 2023. Through a detailed examination of representative roles, such as short video operators and data analysts, alongside emerging occupations within the artificial intelligence (AI) sector, our findings allocate occupations to specific life cycle stages, revealing insightful patterns of occupational development and decline. Our findings offer a unique perspective on the interplay between occupational evolution and economic factors, with a particular focus on the rapidly changing Chinese labor market. This study not only contributes to the theoretical understanding of OLC but also provides practical insights for policymakers, educators, and industry leaders facing the challenges of workforce planning and development in the face of technological advancement and market shifts.

本研究使用中国最大的招聘平台的职位发布数据作为新颖的代理，详细追踪2018年至2023年劳动力市场的波动和新兴趋势，通过对短视频运营商、数据分析师以及人工智能领域的新兴职业的详细调查，我们的研究将职业分配到特定的生命周期阶段，揭示了职业发展和衰退的有见地的模式。本研究不仅对职业生命周期的理论理解有所贡献，而且为面对技术进步和市场变化所带来的工作力规划和发展的挑战的决策者、教育者和行业领导者提供了实用的见解。

职业生涯周期