OpenAI data shows which work AI is absorbing, and which still needs people
Coding, technical support and analysis saw the biggest automation gains; setting priorities and choosing projects did not.
OpenAI has published data on how its own researchers use AI, offering one of the clearest signals yet about which workplace skills may matter most, Business Insider reported.
The biggest automation gains this year came in coding, technical support, monitoring computer runs and analysing results. By contrast, AI is still doing relatively little of the work of deciding which projects to pursue, where to invest resources or how to set priorities.
The company wrote that people still set its research priorities, judge which ideas and results to pursue, and decide whether to scale, pause or deploy systems. Tasks with measurable outputs, such as code written or bugs fixed, are easier to automate than judgment calls that depend on context and trade-offs.
For employers and job seekers, the takeaway is practical: routine technical tasks are the first to be handed to AI, while planning, judgment and decision-making skills are becoming more valuable.
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