Cloud.ru and HSE Study: Of 50 Professions Under AI Influence, 16 Recognized as New

On October 30, 2026, cloud provider Cloud.ru and the Institute for Statistical Studies and Economics of Knowledge (ISSEK) at HSE University presented the results of a study on the impact of generative AI (artificial intelligence that creates text, code, and images on request) on professions. Of the 50 positions most exposed to the technology, the authors classified 16 as new, 22 as transforming, and 12 as becoming obsolete.

Half of the list falls to the information and communication technology sector. Outside it, the authors identified two emerging specialties in healthcare, and one each in education and construction. In IT, according to the source's description, roles are taking shape related to the management of AI agents (programs that perform tasks according to instructions), data, and the security of large language models (systems trained on large volumes of text).

The difference from previous labor market reviews lies in the methodology. The authors relied on an analysis of more than 800,000 media and scientific sources, expert interviews, and a study of job vacancies. The sample included 41,000 listings on hh.ru for Moscow and 126,000 publications on LinkedIn for San Francisco, London, and Singapore. Professions were assessed against eight criteria, including the possibility of automating work functions, the novelty of technologies, and vacancy dynamics. The full list of criteria is not provided in the source material.

In practice, the result should be read as a map of observations rather than a forecast. The authors record that companies are allocating separate specialties for the development, training, and operation of neural networks and transferring part of the functions of existing employees to algorithms. But the distribution across industries is uneven: outside IT, there are only a few positions on the list. This means that the emergence of new roles is so far concentrated where AI is already embedded in work processes, not where it is only being talked about.

What remains unknown: how long it will take for the 22 transforming professions to transition to a new state and which 12 positions the authors consider becoming obsolete. These data are not in the source material.