Human after all: Occupations at the core of AI adoption

IF 2.6 2区经济学 Q2 ECONOMICS

Labour Economics Pub Date : 2025-08-01 DOI:10.1016/j.labeco.2025.102754

Luca Fontanelli , Flavio Calvino , Chiara Criscuolo , Lionel Nesta , Elena Verdolini

引用次数: 0

Abstract

This paper investigates how firms’ occupational structure shapes the adoption of artificial intelligence (AI) using matched administrative data on French firms and relying on an instrumental variable Probit model. We identify ICT engineers as the only occupational group with a robust and statistically significant effect on AI adoption. This finding holds for ICT and non-ICT Services sectors, and regardless of whether AI is developed in-house or acquired externally. Our estimates suggest that closing the occupational gap between adopters and non-adopters would require approximately 215,000 additional ICT engineers, and 45,000 for the firms most exposed to AI. The results highlight the critical importance of investing in advanced digital skills to support the broader diffusion of AI technologies.

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毕竟是人类：人工智能应用的核心职业

本文利用法国公司匹配的行政数据，并依靠工具变量Probit模型，研究了公司的职业结构如何影响人工智能（AI）的采用。我们认为ICT工程师是唯一对人工智能采用具有稳健且统计显著影响的职业群体。这一发现适用于ICT和非ICT服务部门，无论人工智能是内部开发还是外部收购。我们的估计表明，要缩小采用者和非采用者之间的职业差距，将需要大约215,000名额外的ICT工程师，而与人工智能接触最多的公司需要45,000名。研究结果凸显了投资于先进数字技能以支持人工智能技术更广泛传播的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Labour Economics ECONOMICS-

CiteScore

3.60

自引率

8.30%

发文量

142

期刊介绍： Labour Economics is devoted to publishing research in the field of labour economics both on the microeconomic and on the macroeconomic level, in a balanced mix of theory, empirical testing and policy applications. It gives due recognition to analysis and explanation of institutional arrangements of national labour markets and the impact of these institutions on labour market outcomes.