Job Vacancies Declining Since ChatGPT Launch, Certain Roles Disappearing

The launch of ChatGPT marked the beginning of the massive development of Artificial Intelligence seen today. However, it also signals the disappearance of numerous jobs in the post-AI era.

Research from Harvard Business School conducted findings shortly after the public launch of ChatGPT in November 2022. The study analysed job vacancies from 2019 to March 2025, using a dataset covering almost all job openings in the United States.

One of the findings was a 13% decrease in job vacancies involving structured and repetitive tasks following the public launch of ChatGPT in November 2022. These roles are likely replaceable by generative AI. In contrast, demand for jobs related to analytical, technical, or creative tasks that can be enhanced by AI experienced an increase of up to 20%.

“Rather than eliminating jobs, generative AI is creating new demand for roles vulnerable to capability enhancement, indicating that human-AI collaboration is the primary driver of labour market transformation,” explained the study’s researcher, Professor Suraj Srinivasan.

Professions with the potential for AI enhancement are those capable of handling tasks that can be automated with generative AI alongside tasks requiring human involvement. Some of the professions likely to experience the highest increase include microbiologists, financial analysts, and clinical neuropsychologists. Within the financial sector, investment managers and analysts can utilise AI tools to process and evaluate market data, as well as perform assessments and decision-making.

Meanwhile, the research results also show that the skills requested in job vacancies have decreased by up to 7%. Additionally, the research team detected more AI-related skills in jobs with high potential for enhancement, including prompt engineering and the use of AI tools.

Srinivasan provided several recommendations for companies regarding the impact of AI on employment. One suggestion is to invest in upskilling programmes to transition workers into roles enhanced by AI. Furthermore, companies should pursue continuous skill development in generative AI to leverage new tools.

He reminded companies that generative AI is not a cost-cutting measure, but rather a capability enhancer. “It is not a cost-saving step; instead, align workforce training programmes to support job transitions and evolving skill demands,” he explained.