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生成AI が労働市場に与える影響
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| 概要 | Generative AI has emerged as a transformative force in the modern economy, offering significant potential to enhance labor productivity, bridge skill gaps, and create new opportunities for both lowand... high-skilled workers. By adopting logistic growth models, this study illustrates how generative AI facilitates education and skill acquisition, driving productivity gains while adhering to the principles of diminishing returns. The integration of education and skills through generative AI amplifies Total Factor Productivity (TFP), especially in the early and middle stages of adoption. However, its impact varies depending on the degree of substitution or complementarity with human labor. Overall, while generative AI addresses current economic challenges, such as declining labor force growth, its long-term success depends on the balanced implementation, continuous upskilling, and careful management of substitution effects. Its ability to create synergy between skills, education, and technologicaladoption positions it as a criticaldriver for sustained economic growth in the age of automation.続きを見る |
| 目次 | 1 Introduction 2 Literature Review 3 Equation 3.1 Education dynamics 3.2 Skill acquisition dynamics 3.3 Effects on labor demand 3.4 Indirect Impact on High-Skilled Labor Demand 3.4.1 Marginal Productivity of High-Skilled Labor (MPLH) 3.4.2 How ρ(t) and γ Affect High-Skilled Labor Demand 3.5 Influence of Generative Ai (ρ(t)) and the Substitution Paramenter (γ) 4 conclusion続きを見る |
詳細
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| 登録日 | 2025.03.28 |
| 更新日 | 2025.03.28 |
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