New research from OpenAI examines how AI is expanding what workers do by reshaping job boundaries and enabling task crossover, defined as work historically associated with one occupation appearing in the AI use of another. In an analysis of more than 800,000 messages from U.S. ChatGPT users, the report reveals that 16.8% of work-related messages and 43.5% of occupation-specific messages involve tasks associated with other roles. This shift allows individuals like small-business owners, salespersons, and marketers to independently handle tasks that previously required handoffs or specialized departments. The report introduces the AI Jobs Transition Framework and is the first in the Work at the Frontier series. Task crossover is not evenly distributed. Marketing and engineering tasks travel farthest across fields, while design roles draw heavily on outside tasks without their own work appearing widely elsewhere. Furthermore, the size of a business shapes AI usage: the outside-occupation task share falls from 18.9% in workspaces with two to five seats down to 16.3% in workspaces with over 100 seats. OpenAI suggests that these usage patterns offer an early signal of occupational change that precedes conventional labor-market statistics and the rewriting of job descriptions.
How AI is expanding what people do at work
New OpenAI research reveals how ChatGPT is expanding job boundaries and reshaping work through task crossover. An analysis of over 800,000 U.S. user messages shows that 43.5% of occupation-specific messages involve tasks associated with other roles. The report highlights how AI allows workers to independently take on tasks outside their traditional job descriptions.
Why it matters
This research provides an early indicator of occupational change before traditional labor-market statistics or job descriptions reflect them, highlighting AI's role as a generalist tool that reorganizes day-to-day work.
Topic dossiers OpenAI