Elizaveta Mironova‡, Yuliya Dolzhenkova§Corresponding author: Elizaveta Mironova ( evmironova@fa.ru ) Corresponding author: Yuliya Dolzhenkova ( yvdolzhenkova@fa.ru ) © Elizaveta Mironova, Yuliya Dolzhenkova. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation:
Mironova E, Dolzhenkova Y (2026) Using digital technologies to minimize gender asymmetry in unpaid labour. ARPHA Preprints. https://doi.org/10.3897/arphapreprints.e200812 |  |
This article analyzes the distribution of unpaid labor in Russian households based on 2024 data from the Federal State Statistics Service and a survey conducted by the authors. This article describes the age dynamics of the gender gap, compares the actual distribution of family responsibilities with the normative ideal, and assesses the prospects for using digital technologies in this area. It was found that the largest gender gap in time spent on unpaid labor is observed in the age group of respondents corresponding to the peak of parental workload. A discrepancy between the actual and ideal structure of the distribution of responsibilities was revealed, with high mental workload predominantly on one partner. The use of digital technologies to reduce gender asymmetry is generally perceived positively; however, predictive analytics and optimization of routine tasks are more actively supported than the role of AI as a mediator, assigner of responsibility, or family psychologist. The authors propose a conceptual digital model for reducing gender asymmetry in unpaid labor, encompassing the individual, corporate, state, and axiological levels.