SECTION:
Economics of Longevity and Socio-Economic Consequences of Ageing in the Age of Artificial Intelligence: the Concept of Multiple Age Paradigms
TITLE
Economics of Longevity and Socio-Economic Consequences of Ageing in the Age of Artificial Intelligence: the Concept of Multiple Age Paradigms
Igor V. Kostikov
REV (Review Article)
JEL J11, J14, H55, O33, I18
https://doi.org/10.52180/1999-9836_2026_22_2_7_283_291
AUTHOR
Igor V. Kostikov
National Institute of Financial Markets and Governance, Moscow, Russia
E-mail:
SPIN-code: 1068-0484
FOR CITATION
Kostikov I.V. Economics of Longevity and Socio-Economic Consequences of Ageing in the Age of Artificial Intelligence: the Concept of Multiple Age Paradigms. Uroven' Zhizni Naseleniya Regionov Rossii=Living Standards of the Population in the Regions of Russia. 2026;22(2):283–291. https://doi.org/10.52180/1999-9836_2026_22_2_7_283_291 (In Russ.)
ABSTRACT
The aim of the study is to develop a theoretical concept of multiple age paradigms and to assess its impact on labour markets, economic growth and fiscal sustainability in the context of global population ageing and the potential diffusion of biological age reversal technologies. Methodology — a theoretical-conceptual and review study with elements of scenario analysis; literature was selected from Scopus, Web of Science, RSCI databases for the period 2010–2025 on key topics (population ageing, economics of longevity, rejuvenation technologies, AI and labour markets). Results — the study introduces the concept of coexisting ageing trajectories — traditional ageing, compression of morbidity, and biological age reversal — which differ depending on access to medical technologies. It is argued that limited access may intensify socio-economic inequality and lead to «age stratification», whereas universal access, combined with institutional adaptation, could stabilise dependency ratios. Scientific novelty lies in introducing the concept of multiple age paradigms, analysing the interaction between rejuvenation technologies and AI as interrelated factors, and in scenario-based assessment of fiscal and distributional effects, which remains underdeveloped in the existing literature.
KEYWORDS
demographic ageing, biological age, rejuvenation technologies, pension systems, artificial intelligence, multiple age paradigms, fiscal sustainability, inequality
INFORMATION ABOUT THE AUTHOR
Igor V. Kostikov
Doctor of Economics, Professor, President, National Institute of Financial Markets and Governance.
REFERENCES
- Eggleston K.N., Fuchs V.R. The New Demographic Transition: Most Gains in Life Expectancy Now Realized Late in Life. Journal of Economic Perspectives. 2012;26(3):137–156. https://doi.org/10.1257/jep.26.3.137
- Sanderson W.C., Scherbov S. Remeasuring Aging. Science. 2010;329(5997):1287–1288. https://doi.org/10.1126/science.1193647
- Gavrilov L.A., Gavrilova N.S. Demographic Consequences of Defeating Aging. Rejuvenation Research. 2010;13(2-3). https://doi.org/10.1089/rej.2009.097
- Scott A.J. The Longevity Society. The Lancet Healthy Longevity. 2021;2(12):e820-e827. https://10.1016/S2666-7568(21)00247-6
- Wachs D., Roman-Urrestarazu A., Brayne C., et al. Dependency Ratios in Healthy Ageing. BMJ Global Health. 2020;5(4):e002117. https://10.1136/bmjgh-2019-002117
- Marengoni A., Angleman S. Combining Remaining Life Expectancy and Time to Death as Alternative Measures of Population Aging. BMC Public Health. 2022;22(1):1–15. https://doi.org/10.1186/s12889-022-13607-8
- Zaidi B., Morgan S.P. The Second Demographic Transition Theory: A Review and Appraisal. Annual Review of Sociology. 2017;43:473-492. https://doi.org/10.1146/annurev-soc-060116-053442
- Horvath S., Raj K. DNA Methylation-Based Biomarkers and the Epigenetic Clock. Nature Reviews Genetics. 2018;19(6):371–384. https://doi.org/10.1038/s41576-018-0004-3
- Fahy G.M., Brooke R.T., Watson J.P., et al. Reversal of Epigenetic Aging and Immunosenescent Trends in Humans. Aging Cell. 2019;18(6):e13028. https://doi.org/10.1111/acel.13028
- Cano Macip C., Hasan R., Hoznek V., et al. Gene Therapy-Mediated Partial Reprogramming Extends Lifespan and Reverses Age-Related Changes in Aged Mice. Cellular Reprogramming. 2024;26(1):24–32. https://doi.org/10.1089/cell.2023.0072
- Chaib S., Tchkonia T., Kirkland J.L. Targeting Cellular Senescence for Healthy Aging: Advances in Senolytic Therapeutics. Trends in Pharmacological Sciences. 2024;45(3):210–225. https://doi.org/10.1016/j.tips.2024.01.005
- Laaksonen M., Elovainio M., Kainulainen S., et al. Changes in Healthy and Unhealthy Working Life Expectancies Among Older Working-Age People in Finland, 2000–2017. European Journal of Public Health. 2022;32(5):729–738. https://doi.org/10.1093/eurpub/ckac119
- Bloom D.E. et al. Macroeconomic Implications of Population Ageing and Selected Policy Responses. The Lancet. 2015;385(9968):649–657. https://doi.org/10.1016/S0140-6736(14)61464-1
- Börsch-Supan A., Wilke C.B. Mortality, Disability and Long-Term Care Among the Elderly in Europe. Health Affairs. 2016;35(11):2065–2071. https://doi.org/10.1377/hlthaff.2016.0833
- Börsch-Supan A., Weiss M. Productivity and Age: Evidence from Work Teams at the Assembly Line. Journal of Economic Perspectives. 2016;30(3):33–52. https://doi.org/10.1257/jep.30.3.33
- Marmot M., Allen J., Boyce T., et al. Health Equity in England: The Marmot Review 10 Years On. London: Institute of Health Equity; 2020. 190 p. https://doi.org/10.1136/bmj.m6931
- Potapenko V.V. Population Aging and the Demographic Burden on the Russian Pension System. Vestnik Instituta Ekonomiki Rossiyskoy Akademii Nauk=The Bulletin of the Institute of Economics of the Russian Academy of Sciences. 2025;(5):27–45. https://doi.org/10.52180/2073-6487_2025_5_27_45 (In Russ.)
- Kapelyushnikov R.I. The Phenomenon of Population Aging: Major Economic Effects. Ehkonomicheskaya politika=Economic Policy. 2019;(2):8–37. https://doi.org/10.18288/1994-5124-2019-2-8-63 (In Russ.)
- Vishnevsky A.G., Scherbakova E.M. Demographic Brakes on the Economy. Voprosy Ekonomiki. 2018;(6):48–70. https://doi.org/10.32609/0042-8736-2018-6-48-70 (In Russ.)
- Frolova E.A., Malanina V.A. Active Ageing Index in Siberian Regions. Ekonomika regiona=Economy of Regions. 2021;17(1):209–222. https://doi.org/10.17059/ekon.reg.2021-1-16 (In Russ.)
- Vasilyeva E.V. Active Ageing Index in Russian Regions: An Alternative Approach. Narodonaselenie=Population. 2022;25(3):128–143. https://doi.org/10.19181/population.2022.25.3.10 (In Russ.)
- Rozhkov V.D., Naidenova A.A., Veshkurova A.A. The Influence of Age on the Pension System. Ehkonomika truda=Russian Journal of Labor Economics. 2024;11(6):73–93. https://doi.org/10.18334/et.11.6.121210 (In Russ.)
- Zemlyanova E.V., Ivanova A.E., Sabgaida T.P., et al. Demographic Ageing, Health Status and Life Quality of the Elderly in Russia. China Population and Development Studies. 2023;7(2):130-159. https://doi.org/10.1007/s42379-023-00133-4
- Sekicki-Pavlenko O.O. Socio-Economic Consequences of Changes in the Age Structure of the Russian Population. In: Scientific Research and Innovation. XI International Scientific and Practical Conference; September 02, 2021; Saratov, Russia. Collection of scientific papers. Saratov: IE Emelyanov; 2021. P. 206-212. (In Russ.)
- Sinyavskaya O.V. The Russian Pension System in the Context of Demographic Challenges and Constraints. Ehkonomicheskii zhurnal vysshei shkoly ehkonomiki=HSE Economic Journal. 2017;21(4):562-591. (In Russ.)
