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  • Как технологии меняют требования к навыкам и образованию? (обзор дискуссии)
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October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.
October 5, 2026
Africa, Youth, and Civic Dialogue: Public Diplomacy Discussed at HSE University
In late September, HSE University hosted a roundtable discussion titled Civil Society in African Countries and Youth Participation in Public Diplomacy. Representatives of non-governmental organisations from Ghana, Ethiopia, and Russia, along with students from HSE University’s Bachelor’s Programme in Public Administration, discussed how young people without official diplomatic status can influence relations between countries and how the nonprofit sector can remain sustainable amid declining grant funding.

 

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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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