mlsanityData to 14 Oct 2026

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

arXiv 2312.04180 ↗First posted 7 Dec 2023cs.AI cs.CY econ.GNcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 7 of its 59 references that are in the map. First posted on arXiv 7 Dec 2023.

Builds on

7 of 59 references.

References · 7

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2023GPT-4 Technical Reportcited by 18,396
  3. 2023The Impact of AI on Developer Productivity: Evidence from GitHub Copilotcited by 274
  4. 2023GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Modelscited by 176
  5. 2023The Learnability of In-Context Learningcited by 127
  6. 2020Artificial Intelligence in the Creative Industries: A Reviewcited by 61
  7. 2023"Generate" the Future of Work through AI: Empirical Evidence from Online Labor Marketscited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.