I Want an Assistant: Generative AI, Women’s Leadership, and the Redistribution of Invisible Labor

This essay examines generative AI (GenAI) through the lens of invisible labor, arguing that its significance for women’s leadership lies in its potential to recognize and redistribute routine forms of support work that have historically remained feminized, undervalued, and unseen. Referencing Judy Brady’s I Want a Wife and Ira Levin’s The Stepford Wives, the paper situates contemporary GenAI assistants within a longer history of gendered service, showing how professional success has long depended on hidden infrastructures of care, coordination, and administrative maintenance. The essay argues that GenAI might offer valuable assistance to women leaders when used deliberately as a bounded, supervised, and accountable collaborator rather than a frictionless servant. Ultimately, the paper contends that GenAI becomes most valuable when it makes support more visible, legitimate, and more equitably distributed.

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Publication Details

Journal
Merits
Published
2026-06-17
DOI
https://doi.org/10.3390/merits6020017
Primary Topic
Digital Economy and Work Transformation
Type
article
Field-Weighted Citation Impact
0.00
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article

I Want an Assistant: Generative AI, Women’s Leadership, and the Redistribution of Invisible Labor

Irina Makarevitch, Marcela Kostihová
Merits
Digital Economy and Work Transformation
article

I Want an Assistant: Generative AI, Women’s Leadership, and the Redistribution of Invisible Labor

Irina Makarevitch, Marcela Kostihová
article en

Abstract

This essay examines generative AI (GenAI) through the lens of invisible labor, arguing that its significance for women’s leadership lies in its potential to recognize and redistribute routine forms of support work that have historically remained feminized, undervalued, and unseen. Referencing Judy Brady’s I Want a Wife and Ira Levin’s The Stepford Wives, the paper situates contemporary GenAI assistants within a longer history of gendered service, showing how professional success has long depended on hidden infrastructures of care, coordination, and administrative maintenance. The essay argues that GenAI might offer valuable assistance to women leaders when used deliberately as a bounded, supervised, and accountable collaborator rather than a frictionless servant. Ultimately, the paper contends that GenAI becomes most valuable when it makes support more visible, legitimate, and more equitably distributed.

MeritsVol. 6(2)
Hamline University (US)
Gender equality
Openalex Percentile: Top 4%
Digital Economy and Work Transformation
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