Methodological implications of using machine learning to estimate the impact of AI on the workforce
Andrew J. Evans
Technological Forecasting and Social Change, 2025, vol. 218, issue C
Abstract:
Examining the potential effects of artificial intelligence on jobs has been a research topic for many years, carrying significant implications for social and industrial policies. Frey and Osborne's seminal study, which estimated that AI could potentially displace 47 % of jobs, has inspired numerous subsequent studies that have reused many elements of the original research.
Keywords: Artificial intelligence (AI); Methodology; Workforce; Task models; Automation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162525002288
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:218:y:2025:i:c:s0040162525002288
DOI: 10.1016/j.techfore.2025.124197
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().