OpenAI: Nearly Half of Job-Specific AI Use Crosses Roles
OpenAI Economic Research analyzed more than 800,000 ChatGPT messages from U.S. workers and found that AI use is already crossing job boundaries. 16.8% of work-related messages and 43.5% of occupation-specific messages involve tasks tied to a different occupation, a pattern OpenAI calls task crossover. The effect is largest for customer experience (77%), design (75%), and human resources (69%) workers, and small businesses show more crossover than large ones (18.9% versus 16.3%).
Transcript
OpenAI studied over 800,000 ChatGPT messages and found workers are quietly taking on jobs outside their own.
The research found 16.8% of work messages, and 43.5% of occupation-specific messages, involve tasks tied to a different job. They call this task crossover.
Some roles borrow the most. Outside tasks made up 77% of customer experience messages, 75% for designers, and 69% for human resources workers.
Small businesses show more crossover. Outside-occupation tasks were 18.9% for workspaces with two to five seats, versus 16.3% for those over one hundred seats.
Inboxsmith helps small businesses handle calls and messages so nothing gets missed. Please like and subscribe for more news.
Sources
Every claim in this video comes from the top ranking coverage of this topic. The claims and where each one came from:
- OpenAI analyzed more than 800,000 messages from U.S. ChatGPT users.(OpenAI official announcement)
- 16.8% of work-related messages and 43.5% of occupation-specific messages are about tasks associated with another occupation, a pattern called task crossover.(OpenAI official announcement)
- Outside-occupation tasks account for 77% of customer experience messages, 75% from designers, and 69% from human resources workers.(OpenAI official announcement)
- Outside-occupation task share falls from 18.9% for workspaces with two to five seats to 16.3% for workspaces with over 100 seats.(OpenAI official announcement)