ChatGPT’s expanding world of work
- ID
- 39641
- Status
- summarized
- Published
- 26 Oct 2026, 6:00 PM
- Fetched
- 27 Oct 2026, 2:51 AM
- Provider
- OpenAI News
- Category
- ai-labs
- Original URL
- https://openai.com/index/chatgpt-expanding-world-of-work
- Source URL
- https://openai.com/news/rss.xml
Summary
- Score
- 6.0
- Created
- 27 Oct 2026, 2:51 AM
- Tags
- Audience
- ai_ml_learnerssaas_startup_foundersdevelopers
What happened
OpenAI Economic Research published 'OpenAI Signals' data classifying work-related ChatGPT messages into 165 Intermediate Work Activities (IWAs) built on the O*NET framework, covering nearly 100 countries and quarterly from Q1 2025 through Q3 2026. Across the 74 countries observed in every quarter, the ten most common activities fell to 51.1% of each country's classified work messages in Q3 2026, down from 56.0% in Q1 2025 — meaning work-related usage became less concentrated and country mixes diverged. The dataset is downloadable for researchers to join against other economic indicators.
Why it matters
This is one of the few public, longitudinal, country-level datasets on what people actually ask an AI to do at work, and it's downloadable rather than a dashboard screenshot. If you're sizing a market, choosing which workflows to automate first, or writing a localization thesis, you can check whether your assumed top use cases (instructional materials, marketing content, programming, business data analysis) are actually shrinking in share — the 56.0% → 51.1% concentration drop suggests broad, generic use cases are the ones losing relative share while narrower ones grow. Caveat before you build on it: this is OpenAI's own classified usage data, so it measures ChatGPT messages, not the whole AI market, and the excerpt does not name which countries are covered or break out any single country's numbers.
Discussion angle
The headline number is that top-10 activity concentration dropped ~5 points in six quarters — is that genuine country-level specialization, or just the long tail of casual work prompts catching up? Worth opening the data live and checking whether any Southeast Asian country is among the 74 tracked, and what its mix looks like.