OpenAI finds cross-occupation AI use recurring
OpenAI's economic research team says workers who use ChatGPT for tasks outside their job description keep coming back to them, evidence that AI may broaden roles well before job titles change.
The second installment of OpenAI's Work at the Frontier series analyzes more than 1.5 million work-related ChatGPT messages sent between April and July 2026, following up on the first report's finding of "task crossover" — workers using AI for activities historically tied to another occupation.
Among roughly 6,200 workers observed consistently across the four months, previously used cross-occupation tasks rose from 13.1% of occupation-specific AI activity in April to 25.9% in July. In a matched one-month follow-up analysis, workers returned to a cross-occupation task they had used the previous month 23.6% of the time, versus an 8.4% rate among comparable workers with no prior observed use. Similar gaps appear for within-occupation and general tasks.
Return rates vary by task. Discussing goods or services with customers drew a 54% next-month return rate and advertising or promotional writing 44%, while explaining financial information came in near 15%. The average across cross-occupation tasks was 18.5%.
Prompting behavior also differs. For tasks outside their occupation, workers write shorter prompts, are less likely to request explanations, how-to guidance, a specific output format, or advice, and are more likely to supply examples or background and to ask the model to verify something — which OpenAI reads as workers "borrowing expertise" rather than learning a new field.
The report is vendor-authored and rests on OpenAI's own first-party telemetry. It offers no independent verification, no causal estimate of employment effects, and no detail on how occupations were assigned.