aceFrom automation technology to generative AI: skill heterogeneity in technology’s impact on laborers
Abstract This is a study of skill heterogeneity in technology’s impact on laborers transitioning from physical automation to cognitive automation. The findings indicate that cognitive skills are a crucial determinant of the extent of technological influence. Considering both technological substitution and technological control, high-skilled and low-skilled workers experience limited technological substitution. However, high-skilled workers are not significantly affected by technological control, whereas low-skil…
High-skilled and low-skilled workers experience limited technological substitution from physical automation to cognitive automation, and high-skilled workers are not significantly affected by technological control.
Low-skilled workers are subjected to stronger technological control, and large language models disproportionately influence women, younger demographics, professional skilled laborers, and higher-income groups in the tertiary industry.
Evidence
- Peer-reviewedThe Journal of Chinese Sociology2025-11-17
How should this claim be treated?
Truvace Impact Record TRV-2026-0451, v1: “From automation technology to generative AI: skill heterogeneity in technology’s impact on laborers.” Truvace, 2026-07-20. /record/TRV-2026-0451 (accessed at citation time). sha256 134d056a56224f0d…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0451 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.