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  • Как технологии меняют требования к навыкам и образованию? (обзор дискуссии)
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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Как технологии меняют требования к навыкам и образованию? (обзор дискуссии)

Мировая экономика и международные отношения. 2025. Т. 69. № 5. С. 121–131.
Maltseva V., Nikitin M.

The paper explores the changing demand for skills and qualifications under the influence of technological progress and the implementation of artificial intelligence. The research issue is examined in three dimensions: the structure of skills in the labour market, the returns to education, and the demand for specific skills and competences. A systematic analysis of 125 key publications in labour economics and skills research from leading think tanks and academic journals between 2018 and 2023 was conducted to identify the effects that technology has on the labour market, and to map the changing structure of skills. The presented analyses of the latest empirical studies allow us to draw conclusions about the significant impact of technological progress on the transformation of the structure of skills and qualifications. First, the rapid wave of AI-based automation is setting a fundamentally new frontier of technological capability and productivity, above which the skills premium is rising. The demand for education is growing at the highest levels of higher education, which is mutually reinforced by the processes of tertiary education massivisation and credential inflation. Secondly, the wage premium for the highest level of education and qualifications is predicted to grow, the labour of the holders of which will turn out to be supplemented by new technologies rather than substituted. Third, the distinctive feature of the impact of artificial intelligence technologies from the effects of automation of the previous wave is that artificial intelligence affects more highly skilled jobs rather than medium- and low-skilled jobs, and moves formerly non-routine skills into the category of routine skills, automating tasks previously considered creative. Fourth, key trends in skill demand include increasing demand for socio-emotional (non-cognitive) skills, which are least susceptible to automation, as well as high-order non-routine cognitive skills complementary to technological progress. At the same time, the increasing complexity of the content of occupations and labour tasks is accompanied by the emergence of skills deficits and their even more rapid obsolescence.

Research target: Economics and Management Education
Language: Russian
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Keywords: рынок трудаискусственный интеллектрабочие местаlabour marketтехнологический прогрессemploymentавтоматизациянавыкизанятостьотдача от образованияautomationskillsreturns to educationtechnological progressAI in education
Publication based on the results of:
The formation of a national higher education system: key changes and their effects (2025)
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