Document Type

Capstone Project

Publication Date

5-21-2026

Publication Title

UNLV Undergraduate Economics Working Paper Series

Publisher

University of Nevada, Las Vegas

Publisher Location

Las Vegas (Nev.)

Volume

3

Issue

1

First page number:

1

Last page number:

14

Abstract

Artificial intelligence (AI) is rapidly changing economies around the world, with some experts predicting an impact greater than the Industrial Revolution. As AI becomes more common in daily life and business, questions have grown about how it might affect jobs, wages, and inequality. The rise of automation and highly capable AI models has made people wonder which occupations will benefit and which might be at risk. This study looks at how exposure to AI technologies affects wage trajectories in the United States. Using occupational-level data from O*NET and the U.S. Bureau of Labor Statistics, we build an AI exposure index based on how easily tasks can be automated. We then use a fixed-effects regression model to see how AI exposure relates to changes in median wages and differences in earnings across occupations over time. Our goal is to better understand how AI influences income distribution and provide insight that could help guide policies for fairer labor market transitions as technology continues to evolve.

Keywords

AI exposure; occupational wages; automation risk

Disciplines

Artificial Intelligence and Robotics | Benefits and Compensation | Labor Economics | Management Sciences and Quantitative Methods

File Format

PDF

File Size

507 KB

Language

English

Rights

IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/

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