DOI: 10.33917/es-4.202.2025.70-77

The article dwells on the essence of artificial intelligence as a mathematical model used to automate human cognitive activity. The author identifies practical tasks that can be solved with the help of the above technology, such as automation of routine business processes, marketing offers personalization, fraud detection, management decision-making support and others. Industries where artificial intelligence is actively used are studied, including healthcare, finance, retail, manufacturing, energy and telecommunications. Special attention is paid to specific examples of applying ar tificial intelligence in auctions, in particular in real estate, energy, online advertising and distribution of computing resources. The author reveals auction models, their essence and areas of application, such as online auctions, programmatic adver tising, spot electricity markets, financial markets and government procurement.

The article analyzes the prospects for introducing artificial intelligence-based tools into auctions in the context of fur ther digitalization of the Russian economy and potential benefits of their application, such as increased profits, optimized use of resources, reduced labour costs and other operating costs.

References:

1. Smith C. Introduction. The History of Artificial Intelligence, available at: https://courses.cs.washington.edu/ courses/csep590/06au/projects/history-ai.pdf

2. Timofeeva A.Yu., Koroleva E.N. Iskusstvennyy intellekt v upravlenii ekonomikoy [Artificial Intelligence in Economic Management]. Nauka XXI veka: aktual’nye napravleniya razvitiya, 2021, no 1-2, pp. 184–188.

3. Reutov R.V. Vliyanie innovatsiy tsifrovoy ekonomiki na mekhanizm neytralizatsii defektov bankovskogo rynka: Ekonomiko-pravovye problem obespecheniya ekonomicheskoy bezopasnosti [The Impact of Digital Economy Innovations on the Mechanism for Neutralizing Defects in the Banking Market:

Economic and Legal Problems of Ensuring Economic Security]. 2021, pp. 99–102.

4. Talapina E.V. Ispol’zovanie iskusstvennogo intellekta v gosudarstvennom upravlenii [Use of Artificial Intelligence in Public Administration]. Informatsionnoe obshchestvo, 2021, no 3, pp. 16–22.

5. Nikitaeva A.Y., Salem A.B.M. Institutional framework for the development of artificial intelligence in the industry. Journal of Institutional Studies, 2022, vol. 14, no 1, pp. 108–126.

6. Zhang C., Lu Y. Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 2021, available at:

https://www.sciencedirect.com/science/article/abs/pii/S2452414X21000248

7. Fiala P., Flusserova L. Modelirovanie i reshenie dvustoronnikh auktsionov [Modeling and Solving Two-sided Auctions]. Khronoekonomika, 2022, no 4(38), pp. 4–8.

8. Kapusto A.V., Banshchikov D.O. Auktsiony i ikh modelirovanie: Tendentsii ekonomicheskogo razvitiya v XXI veke [Auctions and Their Modeling: Trends of Economic Development in the 21st Century]. 2021, pp. 428–431.

DOI: 10.33917/es-4.202.2025.78-85

The article analyzes socio-economic situation of workers in the mining industry (from 2019 to 2025) and identifies trends in transition from traditional to innovative tools in the personnel’s work activities. It was also discovered that introduction of artificial intelligence technologies helps to minimize the human factor and ensures maximum production ef ficiency.

The present article also examines transformation of the qualitative and quantitative characteristics of the mining industry representatives, their social consequences, in particular, the impact of mining work on psychophysical health.

The paper also studies development of a nonlinear algorithm with the help of ar tificial intelligence methods, including a neural network and cognitive modules, as a factor in transition from traditional to innovative tools in the work of mining personnel, having direct significance for humans.

References:

1. Zinov’eva O.M., Merkulova A.M., Smirnova N.A., Shcherbakova E.A. K voprosu upravleniya psikhosotsial’nymi riskami v gornom dele [Psychosocial Risk Management Issue in Mining]. Gornyy informatsionno-analiticheskiy byulleten’, 2022, no 1, pp. 20–33.

2. Timofeeva S.S., Boboev A.A., Drozdova I.V. Identifikatsiya opasnostey pri dobyche rudnogo zolota v Rossii i Uzbekistane [Hazards Identification in Gold Mining in Russia and Uzbekistan]. Journal of Advances in Engineering Technology, vol. 1(1), Sept. 2020, pp. 1–7.

3. Chebotarev A.G., Leskina L.M., Golovkova N.P. Usloviya truda i professional’nyy risk narusheniya zdorov’ya rabochikh rudnykh kar’erov [Working Conditions and Quarry Workers Occupational Health Risks]. Gornaya promyshlennost’, 2020, no 5, pp. 115–119.

4. Berezovskaya A.V., Fomin A.I. Faktory opasnosti zdorov’yu shakhterov i mery protivodeystviya etim riskam [Health Hazards to Miners and Measures to Counteract These Risks]. Mezhdunarodnyy nauchno-issledovatel’skiy zhurnal, 2023, no 5(131), pp. 1–8.

5. Zykova N.V. Silikoz [Silicosis]. Krasota i Meditsina, 2020, available at: https://www.krasotaimedicina.ru/diseases/zabolevanija_pulmonology/silicosis

6. Poletaeva A.V., Seryy A.V. Psikhologicheskie faktory perezhivaniya neschastnykh sluchaev na proizvodstve rabotnikami ugledobyvayushchikh predpriyatiy [Psychological Factors of Experiencing Industrial Accidents by Coal Mining Enterprises Workers]. Vestnik KRUNTs, 2011, no 2(18), pp. 143–152.

7. Tsymbal A.V. Issledovanie rasprostranennosti proyavleniy psikhologicheskoy dezadaptatsii u shakhterov, perezhivshikh vital’nuyu ugrozu v avariynoy situatsii [A study of the Psychological Maladjustment Manifestation Prevalence in Miners Who Survived a Vital Threat in an Emergency Situation]. Psikhologiya. Psikhofiziologiya, 2012, no 19, pp. 115–118.

8. Voznesenskiy N.K., Paramonova S.V., Sedinin A.L. Psikhovegetativnyy status podzemnykh gornorabochikh [Underground Miners Psychovegetative Status]. Meditsina truda i promyshlennaya ekologiya, 2019. № 9. S. 589.

DOI: 10.33917/es-4.202.2025.86-97

The article analyzes socio-economic situation of workers in the mining industry (from 2019 to 2025) and identifies trends in transition from traditional to innovative tools in the personnel’s work activities. It was also discovered that introduction of artificial intelligence technologies helps to minimize the human factor and ensures maximum production ef ficiency.

The present article also examines transformation of the qualitative and quantitative characteristics of the mining industry representatives, their social consequences, in particular, the impact of mining work on psychophysical health.

The paper also studies development of a nonlinear algorithm with the help of ar tificial intelligence methods, including a neural network and cognitive modules, as a factor in transition from traditional to innovative tools in the work of mining personnel, having direct significance for humans.

References:

1. Anchishkin A.I. Nauka, tekhnika, ekonomika [Science, Technology, Economics]. Moscow, Ekonomika, 1986. 383 p.

2. Kheynman S.A. Nauchno-tekhnicheskaya revolyutsiya segodnya i zavtra [Scientific and Technological Revolution Today and Tomorrow]. Moscow, Politizdat, 1977, 328 p.

3. L’vov D.S. Effektivnoe upravlenie tekhnicheskim razvitiem [Effective Management of Technical Development]. Moscow, Ekonomika, 1990, 255 p.

4. L’vov D.S., Glaz’ev S.Yu. Teoreticheskie i prikladnye aspekty upravleniya NTP [Theoretical and Applied Aspects of Scientific and Technical Progress Management]. Ekonomika i matematicheskie metody, 1986, no 5, pp. 793–804.

5. Glaz’ev S.Yu. Teoriya dolgosrochnogo tekhniko-ekonomicheskogo razvitiya [Theory of Long-Term Technical and Economic Development]. Moscow, Vladar, 1993, 310 p.

6. Peres K. Tekhnologicheskie revolyutsii i finansovyy kapital. Dinamika puzyrey i periodov protsvetaniya [Technological Revolutions and Financial Capital. Dynamics of Bubbles and Periods of Prosperity]. Moscow, Delo, 2011, 232 p.

7. Dosi G. Technical Change and Industrial Transformation: The Patterns of Industrial Dynamics. Technical Change and Industrial Transformation. Palgrave Macmillan, London. 1984. 338 p.

8. Perez C. Structural change and assimilation of new technologies in the economic and social systems. Futures, 1983, vol. 4, no. 15, pp. 357–375.

9. Freeman C. Technology policy and economic performance: lessons from Japan. London, Pinter Publishers, 1987. 155 p.

10. Edler J., Blind K., Kroll H., Schubert T. Technology sovereignty as an emerging frame for innovation policy. Defining rationales, ends and means. Research Policy, vol. 52, iss. 6, 2023, 104765.

11. Erebak S., Turgut T. Anxiety about the speed of technological development: Effects on job insecurity, time estimation, and automation level preference. The Journal of High Technology Management Research, vol. 32, iss. 2, 2021, 100419.

12. Eum W., Lee J-D. The co-evolution of production and technological capabilities during industrial development. Structural Change and Economic Dynamics, vol. 63, 2022, pp. 454–469.

DOI: 10.33917/es-4.202.2025.98-107

The article dwells on the problems of financing fixed assets in industry and scientific developments. A new financial technology for financing non-current assets at the expense of current assets and funds of targeted financing is proposed. The authors have developed fundamentally new sources of investment financing through restoring the depreciation fund and creating a new Innovative Development Fund, taking into account new financial technologies for accounting operations. The problem of dividing financial flows into working capital and investment assets according to balance sheet accounting objects is solved by creating new balance sheet accounts reflecting various sources of financing and by registering certificates of market value assessment of rights to the intellectual activity results. New forms of reporting on the use of intellectual property objects are proposed.

References:

1. Ukaz Prezidenta RF ot 28 fevralya 2024 g. N 145 “O Strategii nauchno-tekhnologicheskogo razvitiya Rossiyskoy Federatsii” [Decree of the President of the Russian Federation of February 28, 2024 No. 145 “On the Strategy for Scientific and Technological Development of the Russian Federation”]. Kodeks, available at: https://docs.cntd.ru/document/1305071057/titles/64U0IK

2. Ageev A.I., Radina V.A. Tainstvennyy virus v sisteme bukhgalterskogo ucheta [Mysterious Virus in Accounting System]. Ekonomicheskie strategii, 2024, no 6, pp. 72–83, DOI: https://doi.org/10.33917/es-6.198.2024.72-83

3. Radina V.A., Yakutin Yu.V. Novye finansovye tekhnologii sistemy upravleniya ekonomicheskoy deyatel’nost’yu [New Financial Technologies of the Economic Activity Management System]. Finansovaya zhizn’, 2024, no 2, pp. 108–146.

4. Khanin G.I. Ekonomicheskaya istoriya Rossii v noveyshee vremya [Economic History of Russia in Modern Times]. Monografiya: V 2 t. Novosibirsk, Izd-vo NGTU, 2010.

5. Buyvis T.A. Sovershenstvovanie amortizatsionnoy politiki predpriyatiya [Improving the Depreciation Policy of the Enterprise]. Uchet, 2018, no 6, pp. 165–169

DOI: 10.33917/es-4.202.2025.108-113

The article dwells on the change in the market index of the “Economic Strategies” (MIES) for the first four months of 2025.

Contribution of supply and demand indicators to MIES is assessed. Industrial production is analyzed.

References:

1. Sotsial’no-ekonomicheskoe polozhenie Rossii. Yanvar’ — aprel’ 2025 g. [Socioeconomic Situation in Russia. January — April 2025]. Federal’naya sluzhba gosudarstvennoy statistiki, available at: https://rosstat.gov.ru/storage/mediabank/osn-04-2025.pdf

2. Sotsial’no-ekonomicheskoe polozhenie Rossii. Yanvar’ — may 2025 g. [Socioeconomic Situation in Russia. January — May 2025]. Federal’naya sluzhba gosudarstvennoy statistiki, available at: https://rosstat.gov.ru/storage/mediabank/osn-05-2025.pdf

3. Frenkel’ A.A., Tikhomirov B.I., Surkov A.A. Obnadezhivayushchie itogi strategicheskogo razvitiya Rossii v 2024 godu: ispytanie na prochnost’ v usloviyakh novoy real’nosti [Encouraging Results of Russia’s Strategic Development in 2024: A Test of Strength in the New Reality]. Ekonomicheskie strategii, 2025, no 2,

pp. 42–47, DOI: https://doi.org/10.33917/es-2.200.2025.42-47

4. Informatsiya ob uchastii Prezidenta RF v plenarnom zasedanii XXVIII Peterburgskogo mezhdunarodnogo ekonomicheskogo foruma 20 iyunya 2025 g.

[Information on the Participation of the President of the Russian Federation in the Plenary Session of the XXVIII St. Petersburg International Economic Forum on June 20, 2025]. Ofitsial’nyy sayt Prezidenta RF, available at: http://kremlin.ru/events/president/news/77222

5. Informatsiya o Federal’nom zakone ot 24 iyunya 2025 g. N 152-FZ “O vnesenii izmeneniy v Federal’nyy zakon ‘O federal’nom byudzhete na 2025 god i na planovyy period 2026 i 2027 godov” [Information about the Federal Law of June 24, 2025 No. 152-FZ “On Amendments to the Federal Law ‘On the Federal Budget for 2025 and for the Planning Period of 2026 and 2027”]. Ofitsial’nyy sayt Prezidenta RF, available at: http://kremlin.ru/acts/news/77260

DOI: 10.33917/es-4.202.2025.114-121

At enterprises, various groups have always emerged and will continue to emerge, created on an initiative basis and demonstrating their own management intentions, often having access to an enterprise’s management resources for their implementation. Some of these groups are formalized (for example, trade unions, parties), while others remain informal (for example, adherents of one industrial school).

Consequently, enterprises may be considered as potential objects of multi-loop management, in which the subjects of management are both administrative and command-coalition management groups expressing political and vital activity of the enterprise’s divisions.

According to the works [1–3], development of a multi-level management system will contribute to successful resolution of conflict situations at enterprises and strengthening of their market positions, for example, by creating three fundamental management contours: administrative one, when the subject of management is the enterprise’s administration; command-coalition contour, in which the subjects of management is represented by institutionalized or non-institutionalized management communities of enterprises; and finally converging

one, within the framework of which a certain group, created by the enterprise’s management, carries out coordinated functioning and development of the first two management circuits. Identification and forecasting of such coalition teams within the framework of intracompany management, as well as theoretical and practical solutions regarding the converging management contour at enterprises are necessary to ensure their sustainable development in the context of increasingly frequent socio-economic crises.

References:

1. Vartanyan A.A. Metodologiya komandno-koalitsionnogo upravleniya predpriyatiem [Methodology of Command-coalition Management of the Enterprise]. Moscow, MAI-PRINT, 2008, 320 p.

2. Vartanyan A.A. Technology of Сonvergence of Team-coalition and Administrative Control of Industrial Enterprise. Amazonia Investiga, 2020, no 9(26), pp. 423–431.

3. Vartanyan A.A. Transformatsiya promyshlennykh predpriyatiy v sploshnoy intellektual’noy srede [Transformation of Industrial Enterprises in a Continuous Intellectual Environment]. Monografiya. Moscow, Sputnik +, 2020, 324 p.

4. Vartanyan A.A., Sidel’nikov Yu.V. Tseli gruppy [Group Goals]. Ekonomicheskie strategii, 2005, no 7(41), pp. 114–119.

5. Von Neumann and Morgenstern. Theory of Games and Economic Behavior. Princeton University Press, 1944, 625 p.

6. L’yus R., Rayf Kh. Igry i resheniya. Vvedenie i kriticheskiy obzor [Games and Solutions: An Introduction and Critical Review]. Moscow, Izd-vo inostrannoy literatury, 1961, 642 p.

7. Nash J. Non-Cooperative Games: A Dissertation Presented to the Faculty of Princeton University in Candidacy for the Degree of Doctor of Philosophy. 1950. May.

8. Karpenko A.S. Fatalizm i sluchaynost’ budushchego: logicheskiy analiz [Fatalism and the Randomness of the Future: A Logical Analysis]. AN SSSR, In-t filosofii. Moscow, Nauka, 1990, 213 p.

DOI: 10.33917/es-4.202.2025.122-127

The article offers a critical view on the cost limit problem in the new era’s economic strategy. Analysis of the modern circulation of capital shows that, in addition to cer tain signs of the capital transformation, such as transition to abstract money in the absence of money linking to a universal material equivalent, displacement of physical labour from material production and, as a consequence, a change in the organic structure of capital, which limits final consumption, it becomes necessary to have the institution of a lender of last resor t and to develop a mechanism for refinancing loans. All this results in formation of accelerating capital as a new, more ef ficient form of capital, which is characterized primarily by the possibilit y of expanding supply through welfare growth. The authors illustrate how many times the accelerator capital is more ef fective than the financial capital. From this, they conclude that accelerator capital overcomes the cost limit when capital extracts profit from the growth of a human well-being and welfare of the societ y as a whole.

References:

1. Shvab K., Vankhem P. Kapitalizm vseobshchego blaga. Novaya model’ ekonomiki [Common Good Capitalism: A New Model of Economy]. Moscow, Bombora, 2022, p. 56.

2. Gruppa Mirovogo banka: Indikatory mirovogo razvitiya [World Bank Group: World Development Indicators]. Vashington, 2023.

3. Marks K. Kapital: Marks K., Engel’s F. Sochineniya [Marx K. Capital: W orks]. 2-e izd., vol. 23. Moscow, GIPL, 1960, p. 136.

DOI: 10.33917/es-4.202.2025.128-133

The world energy sector is in a phase of transformation. Current processes of reorganizing the world energy sector structure are usually called the fourth energy transition. Traditional concept of the fourth energy transition implies a gradual phaseout of fossil fuels and increasing the share of renewable energy in the global energy balance in order to reduce carbon emissions. The article proposes to revise the number of energy transitions and proposes electric energy as an independent type of fuel to serve as the basis for the current energy transition.

References:

1. Makharov A.A., Mitrova T.A., Kulagin V.A. (Eds.) Prognoz razvitiya energetiki mira i Rossii — 2019 [Forecast of Energy Development in the World and Russia 2019: Archived Copy from October 24, 2021]. Wayback Machine. INEI RAN. Moscow, Institute of Energy Research of the Russian Academy of Sciences (INEI RAN), Moscow School of Management Skolkovo, 2019, 210 p.

2. World Energy Outlook’2024 (IEA). Energy Institute, available at: https://www.energyinst.org/statistical-review

3. Il’kovskiy K.K., Il’kovskiy D.K. Solnechnyy svet protiv uglya [Sunlight Against Coal]. Ekonomicheskie strategii, 2020, no 3, pp. 134–141, DOI: 10.33917/es-3.169.2020.134-141

4. Zubakin V.A., Zhukov P.A. Ekonomicheskaya effektivnost’ elektrostantsiy na vozobnovlyaemykh istochnikakh energii na primere pokazatelya LCOE [Economic Efficiency of Renewable Energy Power Plants Using the LCOE Indicator as an Example]. Santekhnika. Otoplenie. Konditsionirovanie, 2024, no 10(274), pp. 72–75, EDN ENBUPX

5. Stoimost’ proizvodstva elektroenergii iz vozobnovlyaemykh istochnikov v 2024 g. [The Cost of Electricity Production from Renewable Sources in 2024]. RenEn, 2025, 23 iyulya, available at: https://renen.ru/stoimost-proizvodstva-elektroenergii-iz-vozobnovlyaemyh-istochnikov-v-2024-godu

6. 2024 Energy Institute Statistical Review of World Energy. Energy Institute, available at: https://www.energyinst.org/statistical-review

7. Department of Economic and Social Affairs. United Nations, available at: https://www.un.org/en/desa/world-population-projected-reach-98-billion-2050-and-112-billion-2100?ysclid=mdg7abr1rq298500462

DOI: 10.33917/es-4.202.2025.134-137

The article substantiates a working toolkit for assessing the risks of implementing alternative projects aimed at creation and production of supersonic passenger aircraft in Russia based on the SWOT analysis techniques. The authors propose a methodological approach to formalizing definition of the competition intensity between manufacturers, as well as the degree of suppliers’ and buyers’ influence on them (developing the conceptual provisions of M. Porter’s five forces of competition model) based on the Herfindahl-Hirschman index. Primary matrix is constructed. Contribution of each factor to the overall integral result is calculated using the modified method of analyzing the internal and external environment profiles, proposed by the authors. The main factors of the project’s effectiveness and threats to its successful completion are identified. Preliminary assessment of the potential need of Russian aviation companies for supersonic aircraft designed for passenger transportation in the Far Eastern Federal District is given.

References:

1. Vedmed’ I.Yu. Analiz kolichestvennykh metodov otsenki riskov investitsionnykh proektov: Sb. dokladov XI Mezhdunarodnoy konferentsii “Rossiyskie regiony v fokuse peremen”. Ekaterinburg, 17–19 noyabrya 2016 g. [Analysis of Quantitative Methods for Assessing Investment Project Risks: Collection of Papers from the XI International Conference “Russian Regions in the Focus of Change”. Ekaterinburg, November 17–19, 2016]. Ekaterinburg, Izd-vo UMTs UPI, 2016, part 1, pp. 52–61.

2. Koshechkin S.A. Metody kolichestvennogo analiza riskov investitsionnykh proektov [Methods of Quantitative Analysis of Investment Project Risks]. Planovik.Ru, available at: http://planovik.ru/invest/articles/3.htm

3. Trifonov Yu.V., Plekhanova A.F., Yurlov F.F. Vybor effektivnykh resheniy v ekonomike v usloviyakh neopredelennosti [Selecting Effective Solutions in Economics under Conditions of Uncertainty]. N. Novgorod, Izd-vo NNGU, 1998, 140 p.

4. Chetyrkin E.M. Finansovyy analiz proizvodstvennykh investitsiy [Financial Analysis of Production Investments]. Moscow, Delo, 1998, 256 p.

5. Damodaran A. Investitsionnaya otsenka [Investment Valuation]. Moscow, Al’pina Biznes Buks, 2008, 659 p.

6. Kurilova A.A., Polteva T.V. Uchet riska i neopredelennosti pri otsenke effektivnosti investitsionnykh proektov [Taking Into Account Risk and Uncertainty when Assessing the Effectiveness of Investment Projects]. Karel’skiy nauchnyy zhurnal, 2016, no 4(17), pp. 181–184.

7. Rukovodstvo po effektivnosti investitsiy [Investment Performance Guide]. Moscow, Interekspress, YuNIDO (UNIDO), 1998, 387 p.

8. Metodicheskie rekomendatsii po otsenke effektivnosti investitsionnykh proektov [Methodological Recommendations for Assessing the Effectiveness of Investment Projects]. Moscow, Ekonomika, 421 p.

9. Sinyavskiy N. Otsenka biznesa: gipotezy, instrumentariy, prakticheskie resheniya v razlichnykh sferakh deyatel’nosti [Business Valuation: Hypotheses, Tools, Practical Solutions in Various Fields of Activity]. Moscow, Finansy i statistika, 2008, 240 p.