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AI-Driven Human Task Substitution: Evidence from Google Translate and ChatGPT
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- TRV-2026-2504raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Observational study
- Sources
- 1 sourcePeer-reviewed
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We examine how different generations of artificial intelligence (AI) substitute for human knowledge worker tasks, leveraging two sequential natural experiments in the translation industry. We study the introduction of Google Neural Machine Translation (GNMT), a predictive, task-specific AI, as well as ChatGPT, a broad, general-purpose generative AI, in a major online labor market. Distinguishing between analytical tasks (regular translations) and intuitive tasks (transcreations, which require creative and cultur…
The problem
A difference-in-differences study of an online labor market found ChatGPT produced substantially larger and more uniform drops in demand for both regular translations and creative transcreations than Google Neural Machine Translation did.
Sources
1 on file- Management Sciencedoi:10.1287/mnsc.2024.06740
Cite this record
v1Truvace Impact Record TRV-2026-2504, v1: “AI-Driven Human Task Substitution: Evidence from Google Translate and ChatGPT.” Truvace, 2026-11-12. /record/TRV-2026-2504 (accessed on the day you copy it). sha256 bac72d6b8632da27…
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