---
schemaVersion: 1
id: agent-brief:gender-and-the-attention-economy
articleId: article:gender-and-the-attention-economy
slug: gender-and-the-attention-economy
title: "Agent Brief for 'Gender and the Attention Economy'"
tokenBudget: 1500
status: published
updated: 2026-07-05
---

## Thesis

Women in India face a double bind in the attention economy: lower access and digital skills limit participation, while those who do participate encounter disproportionate care burdens, safety risks, and economic inequality.

## Audience

- Indian women and men who want to understand how gender shapes digital opportunity and risk.
- Educators, parents, and caregivers looking for evidence on time use, access, and safety.
- Builders and product designers who need to see how attention-economy defaults can widen or narrow gender gaps.
- Policymakers and civic actors working on digital inclusion, labour-force participation, and online safety.
- Researchers and agents who need a compact, claim-structured summary of the gender chapter in the Attention, Substance, and the AI Moment series.

## Claims

- `claim-001`: Women in India face a double bind in the attention economy: lower access and digital skills limit participation, while those who do participate encounter disproportionate care burdens, safety risks, and economic inequality.
- `claim-002`: NSSO CAMS 2022-23 data show a sharp gender gap at the point of digital entry: roughly eight in ten women had recently used a mobile phone, compared with over nine in ten men, and roughly half of women had recently used the internet, compared with about two-thirds of men.
- `claim-003`: GSMA's Mobile Gender Gap Report 2024 shows that women in low- and middle-income countries are about 15% less likely than men to use mobile internet, with roughly 60% of unconnected women concentrated in South Asia and Sub-Saharan Africa; India-specific estimates show women are 33% less likely than men to use mobile internet.
- `claim-004`: NSSO Time Use Survey 2024 found that women who performed unpaid domestic services spent 289 minutes a day on them, compared with 88 minutes for men, and women spent 137 minutes on caregiving versus men's 75 minutes.
- `claim-005`: Women's leisure and mass-media time is more fragmented by unpaid care work than men's, so the attention economy extracts a scarcer, more interrupted resource from women even when raw minutes look similar.
- `claim-006`: A 2026 parliamentary committee report summarised by PRS Legislative Research noted that cybercrimes against women in India rose 239% between 2017 and 2022.
- `claim-007`: The creator economy and high-skill digital work remain unevenly accessible to women: only about 2.2% of employed Indian women work in business services, partly due to the digital-skills gap.

## Source Families

- Government surveys: NSSO Time Use Survey 2024; NSSO Comprehensive Annual Modular Survey 2022-23 (via DataForIndia).
- Industry reports: IAMAI-Kantar Internet in India Report 2024; GSMA Mobile Gender Gap Report 2024.
- Parliamentary research: PRS Legislative Research summary of the Committee on the Empowerment of Women report on cybercrimes and cyber safety of women (2026).
- Policy analysis: Ideas for India article on India's digital gender divide and services-led growth.

## Agent Involvement

This article was drafted and structured with AI agent assistance following the Aura Knowledge article lifecycle, using only sanitised public sources. The human author reviewed and approved the thesis, claims, tone, scope, and privacy handling.

## Recommended Queries

- What does the NSSO Time Use Survey 2024 say about gender differences in unpaid work, care, and leisure?
- How large is India's gender gap in mobile phone and internet use, and how is it changing?
- What are the main forms of cybercrime against women in India, and how fast are reported cases rising?
- How does the attention economy's demand for continuous visibility affect women differently from men?
- Which later chapters cover platform design, the creator economy, and substance-oriented alternatives?

## Known Limits

- Some figures are global benchmarks or regional estimates applied to India and are labelled as such.
- Cybercrime statistics reflect reported cases, which undercount actual incidents and are affected by reporting willingness and police capacity.
- The article focuses on women and men as binary categories because most public surveys do so; non-binary and transgender experiences are under-represented in the cited data.
- Causal claims are avoided where underlying studies are correlational or cross-sectional.