How will Language Modelers like ChatGPT Affect Occupations and Industries?

TL;DR

This paper introduces a systematic methodology to evaluate how AI language model advancements impact various occupations, industries, and regions, revealing significant exposure in education, legal services, and finance sectors, with higher-wage roles being more affected.

Contribution

It provides a novel framework for assessing AI language model influence on economic sectors, highlighting specific occupations and industries most susceptible to automation.

Findings

Telemarketers and post-secondary teachers are highly exposed.

Legal and financial industries are significantly impacted.

Higher-wage occupations show greater exposure to AI language models.

Abstract

Recent dramatic increases in AI language modeling capabilities has led to many questions about the effect of these technologies on the economy. In this paper we present a methodology to systematically assess the extent to which occupations, industries and geographies are exposed to advances in AI language modeling capabilities. We find that the top occupations exposed to language modeling include telemarketers and a variety of post-secondary teachers such as English language and literature, foreign language and literature, and history teachers. We find the top industries exposed to advances in language modeling are legal services and securities, commodities, and investments. We also find a positive correlation between wages and exposure to AI language modeling.