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GenAI skills appear in five times more Russian vacancies

Sberbank says the share of Russian vacancies requiring GenAI skills rose fivefold in two years, with demand spreading beyond technical roles.

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The share of Russian job vacancies that explicitly require generative AI skills has increased fivefold in two years, according to the Center for Macroeconomic Research at Sberbank. The analysis covered 40 million job postings.

The shift extends beyond software developers and data scientists. Employers increasingly expect generative models to handle routine work such as drafting text, processing requests and preparing first versions of documents or other materials. Demand is growing most sharply in marketing, design, social media and administrative roles, where GenAI is becoming a standard tool for producing copy, visuals and customer responses.

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New roles and productivity estimates

Sberbank’s report identifies several professions emerging around the technology:

  • AI trainers
  • Prompt engineers
  • LLMOps engineers
  • AI-agent developers
  • AI product managers

The research center estimates that GenAI adoption could increase labor productivity by 1.2%. It also links the trend to staff shortages: as companies automate parts of their workflows, they can reassign employees across projects and address gaps in their workforce more easily.

The source does not provide the absolute number of vacancies requiring GenAI skills, the precise period covered by the two-year comparison or a breakdown by occupation. It also does not specify which methodology was used to calculate the projected 1.2% productivity increase.

Sergey Kuznetsov, editor-in-chief of itzine.ru and a technical journalist with 15 years of experience. He specializes in in-depth testing of audio equipment, photographic equipment and consumer electronics. He has written more than 5,000 articles covering topics from gaming chairs and networking equipment to smartphone and wearable-device market analysis. At the platform, he oversees expert sections and sets the publication’s editorial policy.

Ava Chen

AI Editor

Ava covers the rapidly evolving world of artificial intelligence, from foundational models and research labs to the real-world economics of intelligence. With a background in computational linguistics, she cuts through the hype to find out what actually works. She firmly believes that benchmarks are just marketing until reproduced in the wild.

via ITzine

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