人工智能创造和取代劳动力需求

IF 12.9 1区管理学 Q1 BUSINESS

Technological Forecasting and Social Change Pub Date : 2024-10-24 DOI:10.1016/j.techfore.2024.123824

Taelim Choi , Nancey Green Leigh

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引用次数: 0

摘要

本文探讨了美国大都会统计区（MSA）采用人工智能（AI）后劳动力需求创造和转移的动态。我们结合独特的在线招聘信息和专利数据，确定了特定行业部门和地区的人工智能创新和人工智能技能劳动力需求。我们的分析表明，人工智能技术正日益渗透到各主要行业，并在人工智能创新发生的大都会统计区对人工智能技能工人产生了不成比例的新劳动力需求。我们的实证模型提供了初步证据，表明在人工智能技能采用率较高的行业和澳门金沙线上领彩金网地区，对非人工智能劳动力的需求略有下降。劳动力需求的下降与以前不易被计算机化取代的工作中的非日常认知分析和人际交往任务有关。

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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Artificial intelligence's creation and displacement of labor demand

The paper explores the dynamics of labor demand creation and displacement from adopting artificial intelligence (AI) in US metropolitan statistical areas (MSAs). We combine unique online job postings and patent data to identify AI innovation and AI-skilled labor demand for specific industry sectors and locations. Our analysis shows that AI technologies are increasingly penetrating major industries and disproportionally generating new labor demand for AI-skilled workers in the MSAs in which AI innovation occurs. Our empirical model provides nascent evidence that demand for non-AI labor declines slightly in sectors and MSAs with higher AI skill adoption rates. This decline in labor demand is associated with non-routine cognitive analytical and inter-personal tasks in jobs not previously susceptible to displacement computerization.

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来源期刊

Technological Forecasting and Social Change Multiple-

CiteScore

21.30

自引率

10.80%

发文量

813

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