AI summary · arXiv: 2204.01296v1 · econ.GN

Technology and jobs: A systematic literature review

Kerstin Hötte, Melline Somers, Angelos Theodorakopoulos

Original paper · DOI Submitted to arXiv on 04 Apr. 2022 License: CC BY 4.0

The essentials

  • The authors examine the impact of technological change on employment over the past four decades
  • They distinguish between five broad technology categories: ICT, Robots, Innovation, TFP-style, and Other
  • New technologies can replace human workers but also create jobs if workers are needed to use them or new economic activities emerge
  • Technology-driven productivity growth can increase disposable income and lead to a demand-induced expansion of employment
  • Concerns about widespread technology-driven unemployment lack empirical support
  • Low-skill, production, and manufacturing workers have been adversely affected by technological change
  • Effective upskilling and reskilling strategies as well as targeted social support systems are important to mitigate negative effects
  • The review provides a detailed description of their search strategy and coding scheme used to analyze selected studies
  • Policymakers should focus on implementing strategies to support vulnerable workers and ensure access to necessary skills training and social support systems.

Key points written by AI: they may contain errors, check them against the paper.

AI-generated keywords: Technological change Employment Impact Labor displacement Upskilling

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In their literature review, the authors examine the impact of technological change on employment over the past four decades. They distinguish between five broad technology categories: ICT, Robots, Innovation, TFP-style (Total Factor Productivity), and Other. The review aims to synthesize existing knowledge on whether technological change destroys or creates jobs. The authors find that while new technologies may replace human workers, they can also create jobs if workers are needed to use these technologies or if new economic activities emerge. Additionally, technology-driven productivity growth can increase disposable income, leading to a demand-induced expansion of employment. Overall, the review reveals that the labor-displacing effect of technology is more than offset by compensating mechanisms that create or reinstate labor. This finding holds true for most types of technology, suggesting that concerns about widespread technology-driven unemployment lack empirical support. However, the authors note that low-skill, production, and manufacturing workers have been adversely affected by technological change. They emphasize the importance of effective upskilling and reskilling strategies as well as targeted social support systems in order to mitigate these negative effects. The review provides a detailed description of their search strategy and coding scheme used to analyze the selected studies. It includes information about sample size, methodology, potential heterogeneity, and bibliometric details about each study. In conclusion has led to job displacement in certain sectors but has also created new opportunities for employment. Policymakers should focus on implementing strategies to support workers who are most vulnerable to these changes and ensure they have access to necessary skills training and social support systems.

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