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April 21, 2025Finance research letters23 citationsOpen Access

Artificial intelligence and the skill premium

DBDavid E. BloomKPKlaus PrettnerJSJamel Saadaoui

Key Points

  • To evaluate theoretical mechanisms through which artificial intelligence and advanced automation alter the skill premium across the labor market.
  • Developed a theoretical framework utilizing a nested constant elasticity of substitution (CES) production function.
  • Partitioned capital inputs into traditional physical capital, industrial robots, and artificial intelligence.
  • Modeled industrial robots as substitutes for low-skill labor and AI as substitutes for tasks performed by high-skill workers.
  • Demonstrated analytically that AI deployment drives a decrease in the aggregate skill premium under defined substitution parameters.
  • Established that the skill premium declines provided AI is more substitutable for high-skill workers than low-skill labor is for high-skill labor.

Abstract

How will ChatGPT and other forms of artificial intelligence (AI) affect the skill premium? To address this question, we propose a nested constant elasticity of substitution production function that distinguishes among three types of capital: traditional physical capital (machines, assembly lines), industrial robots, and AI. Following the literature, we assume that industrial robots predominantly substitute for low-skill workers, whereas AI mainly helps to perform the tasks of high-skill workers. We show that AI reduces the skill premium as long as it is more substitutable for high-skill workers than low-skill workers are for high-skill workers.

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Cite This Study

Bloom et al. (2025) studied this question.

synapsesocial.com/papers/6a0ec43806ecbe833447c869https://doi.org/10.1016/j.frl.2025.107401
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