Economists

In contrast, human-to-human parts of the job stay mostly unchanged. Teaching or testifying in Congress is still done by people, not robots. Even in teaching, AI is only a tutor for basic questions so far: a study found ChatGPT can explain simple econ ideas correctly, but it often sounds too sure of itself and misses bigger context ^[3].

Tasks like supervising students or advising on policy require judgment, empathy, and trust – skills AI cannot replace. For instance, financial “robo-advisors” handle routine advice, but experts note human advisors are still in high demand ^[4]. In short, AI tools are starting to handle the math and data work in economics, but jobs that need human insight, ethics or personal contact remain firmly human.

However, adoption can be slow because of cost and trust issues. Setting up AI systems takes time and money, and a recent analysis found most AI pilot projects didn’t give a big return ^[5]. Economists also work on sensitive topics, so experts worry about errors or “hallucinations.” For example, research on AI tutoring notes that ChatGPT sometimes answers wrongly with too much confidence ^[3].

Because of this, people will likely keep humans “in the loop” – using AI for support but relying on people’s judgment, especially for policy recommendations or teaching difficult ideas. Overall, AI is growing as a helpful assistant in economics, but human skills like creativity, ethics, and clear communication remain very important ^{[1] [4]}.