From Automation Technology to Generative AI:A Study of the Skill-based Heterogeneity of Technologies'Impacts on Workers
This study focuses on the skill-based heterogeneous impacts of technologies on workers during the transition from physical automation to cognitive automation.The findings reveal that cognitive skills are a critical factor influencing the extent of technological impacts on workers.Analyzing from both technological substitution and technological control perspectives,this paper finds that the substitution effects on both high-skilled and low-skilled workers are limited.High-skilled workers are not significantly affected by technological control,whereas low-skilled workers experience stronger technological control.Comparing the automation technology and AI large language models,this paper finds that the former primarily impacts the secondary sector,while the latter predominantly affects the tertiary sector.Furthermore,AI large language models mainly impact women,young people,professional skilled workers,and upper-class individuals.In the context of a new technological revolution led by AI,analyzing and exploring the impacts of technology hold significant theoretical and practical implications.
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