How People Use ChatGPT — NBER large-scale study (w34255)
How People Use ChatGPT — NBER large-scale study (w34255) A new NBER working paper (No. 34255), produced in collaboration with researchers from OpenAI and Harvard, analyzes a representative sample of about 1.5 million anonymized ChatGPT conversations to understand how people use the model in everyday life and at work. Quick summary Dataset: ~1.5 million anonymized conversations (representative sample). Main use cases: practical guidance (tutoring/how‑to/idea generation), information‑seeking (research, facts, recipes), and writing tasks (drafting, editing, summarizing, translating). Work vs. non‑work: Over 70% of use was non‑work related by July 2025; writing dominates work tasks (~30% of total usage). Interaction types classified as "Asking" (~49%), "Doing" (~40%), and "Expressing" (~11%). Economic implications: substantial decision‑support value, especially in knowledge‑intensive tasks; faster uptake in lower‑income countries and narrowing gender gaps among users. Method &…
