Automation Will Set Occupational Mobility Free: Structural Changes in the Occupation Network
Soohyoung Lee, Dawoon Jeong, Jeong-Dong Lee

TL;DR
This paper models how automation of skills, rather than entire occupations, can significantly transform the occupation network, reducing mobility barriers and enabling easier labor redeployment.
Contribution
It introduces a novel simulation of skill automation effects on occupation networks, highlighting how small changes can lead to major structural shifts.
Findings
Automation creates bridges between occupations, facilitating mobility.
Structural changes accelerate as occupation components merge into a giant component.
Automation reduces fragmentation, easing occupational mobility.
Abstract
Occupational mobility is an emergent strategy to cope with technological unemployment by facilitating efficient labor redeployment. However, previous studies analyzing networks show that the boundaries to smooth mobility are constrained by a fragmented structure in the occupation network. In this study, positing that this structure will significantly change due to automation, we propose the skill automation view, which asserts that automation substitutes for skills, not for occupations, and simulate a scenario of skill automation drawing on percolation theory. We sequentially remove skills from the occupation-skill bipartite network and investigate the structural changes in the projected occupation network. The results show that the accumulation of small changes (the emergence of bridges between occupations due to skill automation) triggers significant structural changes in the…
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Taxonomy
TopicsDigital Economy and Work Transformation
