From automation technology to generative AI
Skill heterogeneity in technology’s impact on laborers
Bibliographic Data
| ID | 13059570 |
|---|---|
| Authors | Y-Z Zhang (0009-0009-4639-9129, Huazhong University of Science and Technology, corresponding author) |
| Year | 2025 |
| Volume | 12 |
| Issue | 1 |
| Publication date | 2025-11-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Journal of Chinese Sociology (JOURNAL) |
| Journal identifiers | ISSN: 2198-2635 • E-ISSN: 2198-2635 |
| Publisher | Springer Nature (PUBLISHER • SG) |
| DOI | 10.1186/s40711-025-00249-9 |
| OpenAlex | W4416304273 |
| Language | EN |
| References cited | 26 |
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-skilled workers are subjected to stronger technological control. A comparison between automation technology and large language models (LLMs) reveals that the former primarily affects the secondary sector, while the latter mainly affects the tertiary industry. Furthermore, LLMs disproportionately influence women, younger demographics, professional skilled laborers, and higher-income groups. In the context of a new technological revolution led by artificial intelligence, analyzing and exploring the impact of technology holds significant theoretical and practical implications
Automation · Cognition · Context (archaeology · Generative grammar · Technological change · Technological revolution · AI in Service Interactions · Digital Transformation in Industry · Robotic Process Automation Applications
Technological Diffusion, Convergence, and Growth
Tasks, Automation, and the Rise in U.S. Wage Inequality
Low-Skill and High-Skill Automation
Toward understanding the impact of artificial intelligence on labor
GPTs are GPTs
Generalized random forests
The Race between Man and Machine
The Skill Content of Recent Technological Change
The future of employment
Artificial Intelligence and Jobs
Between Social Protests and a Global Pandemic
Two Centuries of Productivity Growth in Computing
Why Are There Still So Many Jobs? The History and Future of Workplace Automation
The Payoff to Skill in the Third Industrial Revolution
| Highly cited | No |
|---|