Occupation Life Cycle
Lan Chen, Yufei Ji, Xichen Yao, Hengshu Zhu

TL;DR
This paper introduces the Occupation Life Cycle (OLC) model to analyze how occupations evolve through growth, peak, fluctuation, maturity, and decline stages, using Chinese job posting data from 2018 to 2023.
Contribution
The study develops the OLC model and applies it to real-world data, providing a systematic framework for understanding occupational trajectories within economic and technological contexts.
Findings
Occupations can be categorized into specific life cycle stages.
Emerging AI occupations are in growth or peak stages.
Traditional roles like data analysts are in maturity or decline stages.
Abstract
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…
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Taxonomy
TopicsDigital Economy and Work Transformation · Higher Education and Employability · Labor market dynamics and wage inequality
MethodsFocus
