AI and Jobs: Has the Inflection Point Arrived? Evidence from an Online Labor Platform

TL;DR

This paper examines the impact of AI, specifically ChatGPT, on online labor markets, revealing both displacement and productivity effects, and identifying an inflection point where AI shifts from aiding to replacing human workers.

Contribution

It introduces a unified Cournot competition model to identify market inflection points and analyzes the heterogeneous effects of AI across different online labor markets and worker experience levels.

Findings

ChatGPT's launch caused both reduced and increased work volumes in different markets.

An inflection point exists where AI transitions from assisting to replacing human workers.

U.S. web developers benefit more from ChatGPT than workers in other regions.

Abstract

This study investigates how artificial intelligence (AI) influences various online labor markets (OLMs) over time. Employing the Difference-in-Differences method, we discovered two distinct scenarios following ChatGPT's launch: displacement effects featuring reduced work volume and earnings, exemplified by translation & localization OLM; productivity effects featuring increased work volume and earnings, exemplified by web development OLM. To understand these opposite effects in a unified framework, we developed a Cournot competition model to identify an inflection point for each market. Before this point, human workers benefit from AI enhancements; beyond this point, human workers would be replaced. Further analyzing the progression from ChatGPT 3.5 to 4.0, we found three effect scenarios, reinforcing our inflection point conjecture. Heterogeneous analyses reveal that U.S. web developers tend to benefit more from ChatGPT's launch compared to their counterparts in other regions. Experienced translators seem more likely to exit the market than less experienced translators.