Generative AI Adoption and Higher Order Skills

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Gulati, Piyush, Marchetti, Arianna, Puranam, Phanish, Sevcenko, Victoria
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866908408418926592
author Gulati, Piyush
Marchetti, Arianna
Puranam, Phanish
Sevcenko, Victoria
author_facet Gulati, Piyush
Marchetti, Arianna
Puranam, Phanish
Sevcenko, Victoria
contents We study how Generative AI (GenAI) adoption is reshaping work. While prior studies show that GenAI enhances role-level productivity and task composition, its influence on skills - the fundamental enablers of task execution, and the ultimate basis for employability - is less understood. Using job postings from 596 US public firms that recruited explicitly for GenAI skills (2022-2024), we analyze how GenAI adoption shifts the demand for workers' domain-specific as well as higher-order (domain-agnostic) skills. Our findings reveal that roles with higher demand for cognitive skills are also more likely to explicitly advertise GenAI tool requirements such as ChatGPT, Copilot, etc. Further, a difference-in-differences analysis shows that the demand for social skills within GenAI adopting roles decreases by 4.5 percent post-ChatGPT launch. As cognitive and social skills are both meta-skills - i.e., they support the acquisition of future task-specific skills - our results suggest that the adoption of GenAI may be altering the trajectories of feasible upskilling.
format Preprint
id arxiv_https___arxiv_org_abs_2503_09212
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Generative AI Adoption and Higher Order Skills
Gulati, Piyush
Marchetti, Arianna
Puranam, Phanish
Sevcenko, Victoria
General Economics
Economics
We study how Generative AI (GenAI) adoption is reshaping work. While prior studies show that GenAI enhances role-level productivity and task composition, its influence on skills - the fundamental enablers of task execution, and the ultimate basis for employability - is less understood. Using job postings from 596 US public firms that recruited explicitly for GenAI skills (2022-2024), we analyze how GenAI adoption shifts the demand for workers' domain-specific as well as higher-order (domain-agnostic) skills. Our findings reveal that roles with higher demand for cognitive skills are also more likely to explicitly advertise GenAI tool requirements such as ChatGPT, Copilot, etc. Further, a difference-in-differences analysis shows that the demand for social skills within GenAI adopting roles decreases by 4.5 percent post-ChatGPT launch. As cognitive and social skills are both meta-skills - i.e., they support the acquisition of future task-specific skills - our results suggest that the adoption of GenAI may be altering the trajectories of feasible upskilling.
title Generative AI Adoption and Higher Order Skills
topic General Economics
Economics
url https://arxiv.org/abs/2503.09212