OpenAI recently released one of the clearest signals yet about which job skills could become most valuable in the AI era.
In a report on how its researchers are using AI, the company shared data showing which tasks are being absorbed by AI and which still rely on people.
The biggest gains in automation this year have been in coding, technical support, monitoring IT executions and analyzing results. In contrast, AI still does relatively little work in deciding which projects to pursue, where to invest resources, or how to set priorities.
This provides insight into how the value of labor may evolve.
Businesses can measure whether code was written, products shipped, or bugs fixed, making it easier to automate these tasks. It is more difficult to decide what should be built first. It requires judgment, context, compromise and a willingness to take risks.
As OpenAI says: “People continue to define our research priorities, judge which ideas and results to pursue, and decide whether to scale, pause, or deploy systems. »
In other words, the future of human work may shift away from execution and toward making good decisions.
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