
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Volume 7 Issue 3
May-June 2025
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She, the Algorithm, and the Invisible Hand: Re-imagining Economic Paradigms in the Age of Feminist AI
Author(s) | Mr. Priyant Banerjee, Dr. Monalisa Hati, Mr. Rushabh Dorage, Mr. Sahil Singh, Mr. Vishwa Jadhav |
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Country | India |
Abstract | The rapidly spreading diffusion of artificial intelligence through production, finance, and service landscapes is transforming economic orthodoxy, but the gendered outlines of this change are urgently under-theorized. This paper, using feminist political economy, contends that algorithmic networks reproduce and challenge long-standing patriarchal frameworks that have chronically overestimated and therefore undervalued women's paid and unpaid work. By combining an endogenous-growth framework with sociotechnical criticism, we introduce a "gendered productivity paradox": headline productivity efficiencies from machine learning often occur side by side with persistent—or even increasing—gender disparities in income, time, and agency. Empirically, we assemble a 142-country panel from 1995 to 2024 and build a sector- and gender-disaggregated AI-Exposure Index. Regression estimates show that for each 10-percentage-point growth in female-centric AI adoption, there is a 2.3 % increase in women's labor-force participation but only a 0.6 percentage-point decline in the gender wage gap, suggesting decreasing distributive returns at higher exposures. Counterfactual decomposition reveals that if digital care-work platforms valued their positive externalities at shadow prices equating to social value, world GDP would grow by about $3.1 trillion while reducing unpaid-care gaps by 18 % within a decade. Policy simulations also show that leveraging mandatory algorithmic audits, data-diversity requirements, and unconditional basic dividends—financed by a 1.5 % tax on AI-generated rents—can narrow the expected 2035 gender wealth gap to 19 % from 31 % in high-income economies and to 37 % from 54 % in low- and middle-income economies. Based on this, we propose "Feminist General Purpose Technology" as a design paradigm that infuses intersectional ethics into the development, deployment, and diffusion stages of AI to transform Schumpeterian creative destruction into creative reconstruction. The paper concludes by proposing an interdisciplinary research agenda—comprising care-economy satellite accounts, participatory machine-learning pipelines, and macro-prudential gender stress tests—required to construct an economy in which the invisible hand and the invisible woman are both visible to the same extent |
Keywords | feminist-economics, artificial-intelligence, gender-wage-gap, inclusive-growth, care-economy, algorithmic-bias |
Field | Engineering |
Published In | Volume 7, Issue 3, May-June 2025 |
Published On | 2025-05-21 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i03.45549 |
Short DOI | https://doi.org/g9mnxn |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
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