Russian researchers develop AI system to forecast in-demand jobs and skills up to four years ahead

Scientists from Perm National Research Polytechnic University have developed an advanced digital system capable of predicting which professions and skills will be most in demand over the next two to four years, reports the official website of the University, according to TV Brics.

The solution analyses labour market trends in real time, identifying current demand for specialists while also forecasting future needs based on continuously updated data from recruitment platforms. According to the developers, the system detects more than 95 per cent of meaningful skill requirements, including those embedded within job descriptions rather than listed in standard fields.

The research highlights the growing urgency of adapting to a rapidly evolving labour market shaped by digitalisation and emerging technologies. Global projections suggest that by 2030, nearly 40 per cent of existing skills may become obsolete, while millions of new roles will emerge.

To ensure accuracy, the programme combines multiple approaches to skill identification. It extracts predefined competencies, applies artificial intelligence models to interpret job descriptions, identifies keywords using specialised algorithms and detects standard requirement phrases. This multi-layered method reduces data loss and improves reliability.

All extracted skills are standardised and cleaned of irrelevant language, allowing the system to build a coherent and comparable dataset. The result is a detailed, real-time overview of the labour market, including key professional roles and the frequency of specific competencies.

Initial analysis has already revealed clear patterns across sectors. In the IT field, for example, demand remains strong for roles such as software developers, data analysts and system administrators, with associated skills including programming languages, data processing tools and cloud technologies.

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