What happened
A 24-page research report from OpenAI's Economic Research team and the Upwork Research Institute compares how people use ChatGPT for work against what clients actually hire freelancers for on Upwork, using that as an early leading indicator of labor-market change. The central finding is that work is 'rebundling': AI-related projects combine tasks that were rarely paired before (e.g., AI-generated video and editing alongside chatbot development and app integration) and carry broader scope and larger budgets — "fixed-price budgets are 52% higher, and hired hourly projects involve 41% more hours." Writing accounts for a much larger share of ChatGPT use, while Upwork clients more often seek technical implementation, creative production and finished work. The report concludes AI's impact on work "is more complex than a straightforward story of automation and displacement" — it is also a story of how roles evolve even when job titles stay the same.
Why it matters
Provides leading-indicator evidence that AI is expanding the scope and composition of work rather than simply replacing tasks, which is directly useful for workforce planning and for pushing back on the 'automation = displacement' narrative in board discussions.
Action needed
Review workforce and skills planning against the finding that AI is expanding project scope and bundling previously separate skills, instead of only displacing individual tasks.