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Career breaks in India's IT sector are negotiated survival strategies rather than mere sacrifices: women mix caregiving and self-care but face long-term professional penalties and negligible organizational support, widening gender gaps in tech.

Career, Self-worth, and the Need for Self-care: Understanding Urban Indian Women’s Journeys from Career Break to Re-entry
Masilamani, Prabha, Gupta, Priya · July 28, 2026 · Journal of international women's studies
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Interviews with 22 urban Indian IT women show career breaks are negotiated acts combining caregiving and deliberate recuperation, but they erode professional identity and incur sustained re-entry penalties due to organizational bias and limited structural supports.

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Women often take career breaks as a response to major life events such as marriage, childbirth, and migration; nevertheless, the emotional complexities and nuanced decision-making attached to these events are hardly discussed. This study explores the lived experiences of twenty-two urban Indian women from the information technology sector who took career breaks and then returned to work. Using an interpretivist phenomenological approach and reflexive thematic analysis, five themes were identified across the three phases of career transition: before, during, and after the career break. Drawing on feminist frameworks including Kabeer’s (1999) agency within constraints and Kandiyoti’s (1988) patriarchal bargaining, the study examines how women navigate career decisions within patriarchal structures. We found that while women considered caregiving and familial obligations important, they also sought to negotiate opportunities for self-care, using the break to recoup and rebuild their mental and physical health. Career disruptions, on the other hand, led to a loss of professional identity, reduced self-worth, and diminished social status due to lack of financial independence. Familial expectations continued to influence women’s career and life choices, further defining their sense of self-worth. Women simultaneously experienced externally imposed breaks and an internal need for self-care, constructing personal meaning within structurally imposed circumstances. The study found that career breaks were neither purely chosen nor purely imposed but represented sites of negotiation within patriarchal structures. Upon returning to work, women encountered emotional strain, organizational bias, and motherhood penalty while striving to reclaim their professional identities, and they received limited structural support from organizations and society. This study advocates for a change in narrative from viewing career breaks as acts of selfless sacrifice to recognizing them as expressions of negotiated agency and self-preservation. Practical implications extend to families, organizations, and policymakers, urging collective responsibility to normalize nonlinear career trajectories and foster gender-equitable work and family structures.

Summary

Main Finding

Career breaks taken by urban Indian women in the IT sector are neither purely voluntary nor purely imposed; they are negotiated acts of agency and self-preservation within patriarchal constraints. Breaks are used both to meet caregiving/familial obligations and to recoup mental and physical health, but they also cause loss of professional identity, reduced self-worth, and sustained penalties on re-entry (organizational bias, motherhood penalty). Structural supports are limited, so normalization of nonlinear careers and collective policy/organizational responses are needed.

Key Points

  • Sample and context: 22 urban Indian women from the information technology sector who took career breaks and later returned to work.
  • Three-phase thematic structure: distinct emotional/decision-making dynamics before, during, and after the break.
  • Dual motives for breaks: caregiving/familial obligations and deliberate self-care (recuperation, mental/physical health rebuilding).
  • Negotiated agency: women exercise constrained agency (Kabeer’s agency within constraints; Kandiyoti’s patriarchal bargaining), making contingent choices rather than absolute sacrifices or freedoms.
  • Consequences of breaks:
    • Loss of professional identity, diminished self-worth and social status tied to financial dependence.
    • Ongoing familial expectations that shape career choices and self-perception.
    • Emotional strain and organizational bias on return (motherhood penalty, stereotyping, limited career progression).
  • Structural deficits: organizations and society provide limited formal support for re-entry, flexible work, or career continuity.
  • Narrative shift recommended: from framing breaks as selfless sacrifice to recognizing them as negotiated acts of survival and agency.
  • Practical recommendations aimed at families, employers, and policymakers to normalize non-linear careers and build gender-equitable work-family structures.

Data & Methods

  • Methodological approach: interpretivist phenomenology to explore lived experience; reflexive thematic analysis to derive themes.
  • Sample: 22 women, urban, employed in India’s IT sector, all of whom had taken career breaks and subsequently returned to work.
  • Analytical frameworks: feminist theories—Kabeer (1999) on agency within constraints and Kandiyoti (1988) on patriarchal bargaining—used to interpret decision-making and negotiation.
  • Themes identified across three phases (before, during, after) highlighting emotional complexity, negotiation, and structural constraints.
  • Limitations: small, qualitative, non-representative urban IT sample — findings provide rich, contextual insight but limited statistical generalizability.

Implications for AI Economics

  • Labor supply and human capital dynamics in AI/tech:
    • Career breaks reduce female labor supply and retention in AI/tech, worsening gender gaps in a sector that shapes future labor markets and products.
    • Long breaks accelerate skill depreciation in rapidly evolving AI fields, raising re-skilling costs and lowering effective human capital on re-entry.
  • Wage dynamics and productivity:
    • Motherhood penalty and organizational bias can depress women’s wages and career trajectories in AI roles, affecting aggregate productivity and distributional outcomes.
    • Firms may respond by substituting with automation or different labor mixes, with ambiguous welfare outcomes for displaced women.
  • Algorithmic hiring and bias:
    • AI-driven recruitment and screening systems trained on historical employment data may replicate penalties for CV gaps, disadvantaging returnees.
    • Recommendation: design hiring algorithms to account explicitly for career breaks (contextual features, plea for explainability and fairness constraints).
  • Policy and program design:
    • Economic policy should fund targeted re-skilling/upskilling programs in AI/tech for returnees, subsidize childcare and flexible work, and incentivize hiring of returners.
    • Labor-market models and program evaluations should incorporate nonlinear career trajectories and gendered bargaining dynamics when projecting AI adoption impacts.
  • Measurement and research needs:
    • Collect longitudinal, gender-disaggregated data on career breaks, re-entry outcomes, and skill trajectories in tech/AI sectors.
    • Evaluate how AI-enabled HR tools affect return-to-work outcomes and whether interventions (e.g., fairer scoring, human oversight) improve equity.
  • Organizational practice:
    • AI economics research should study firm-level adoption of flexible work, part-time AI roles, and returnship programs as mechanisms to retain female AI talent.
    • Consider economic incentives (tax credits, subsidies) for firms that demonstrably reduce motherhood penalties and hire/train returnees.
  • Broader macroeconomic considerations:
    • Persistent underrepresentation of women with uninterrupted AI-sector careers risks producing less diverse AI systems, with downstream economic costs from biased products and reduced market reach.

Overall, the study highlights that gendered, negotiated career breaks have direct and indirect consequences for the supply, composition, and equity of AI/tech labor markets. Addressing these requires both organizational redesign (flexible roles, unbiased hiring) and macro policy (re-skilling, childcare, data-informed monitoring) informed by the lived realities described.

Assessment

Paper Typedescriptive Evidence Strengthlow — Findings are based on a small, purposive qualitative sample (22 interviewees) using interpretive phenomenology; they provide rich, context-specific insight into lived experience but do not establish causal relationships or population-level prevalence. Methods Rigormedium — The study uses appropriate qualitative methods (reflexive thematic analysis; relevant feminist theoretical frameworks) and a clear three-phase analytic structure, but it relies on a small, non-representative sample, likely retrospective accounts, and lacks quantitative validation or triangulation to strengthen external validity. SamplePurposive sample of 22 urban Indian women employed in the information technology sector who took career breaks and later returned to work; qualitative interviews analyzed via interpretivist phenomenology and reflexive thematic analysis; urban/IT context, likely middle-class and returnee-only sample. Themeslabor_markets skills_training inequality org_design adoption GeneralizabilitySmall, non-random sample limits statistical generalizability, Urban IT-sector focus limits applicability to non-tech sectors and rural contexts, India-specific cultural and familial norms may not transfer to other countries, Sample includes only women who returned to work, excluding those who never re-entered, Retrospective self-reports may be subject to recall and social-desirability bias

Claims (10)

ClaimDirectionOutcomeConfidence & EvidenceDetails
Career breaks taken by urban Indian women in the IT sector were negotiated acts of agency and self-preservation within patriarchal constraints, rather than being purely voluntary choices or purely imposed sacrifices. Task Allocation mixed Women's reported decision-making and agency surrounding career breaks
Reading fidelity high
Study strength medium
n=22
0.18
Women took career breaks for both caregiving or other familial obligations and deliberate self-care, including recuperation and rebuilding mental and physical health. Worker Satisfaction mixed Reported reasons and motivations for taking a career break
Reading fidelity high
Study strength medium
n=22
0.18
Career breaks were associated with loss of professional identity, diminished self-worth, and reduced social status linked to financial dependence. Worker Satisfaction negative Professional identity, self-worth, and perceived social status during or after career breaks
Reading fidelity high
Study strength medium
n=22
0.18
Familial expectations continued to shape women's career choices and their perceptions of themselves after returning to work. Task Allocation negative Influence of familial expectations on career decisions and self-perception
Reading fidelity high
Study strength medium
n=22
0.18
Returning to work after a career break involved emotional strain and organizational disadvantages, including motherhood penalties, stereotyping, and limited career progression. Employment negative Return-to-work experience, career progression, and perceived organizational treatment
Reading fidelity high
Study strength medium
n=22
0.18
Organizations and wider society provide limited formal support for re-entry, flexible work, and continuity of women's careers after a break. Organizational Efficiency negative Availability of organizational and societal support for career re-entry and continuity
Reading fidelity high
Study strength medium
n=22
0.18
The study identifies distinct emotional and decision-making dynamics before, during, and after a career break. Worker Satisfaction mixed Phase-specific emotional and decision-making experiences surrounding career breaks
Reading fidelity high
Study strength medium
n=22
0.18
The study's findings provide rich contextual insight but have limited statistical generalizability because the sample is small, qualitative, urban, and restricted to women in India's IT sector. Other null_result Generalizability of the study's findings
Reading fidelity high
Study strength high
n=22
0.3
The study recommends shifting the narrative around career breaks from selfless sacrifice toward recognition of breaks as negotiated acts of survival and agency. Governance And Regulation positive Framing and social recognition of nonlinear careers
Reading fidelity high
Study strength low
n=22
0.09
The study recommends coordinated responses by families, employers, and policymakers to normalize nonlinear careers and build more gender-equitable work-family structures. Governance And Regulation positive Policy and organizational support for women's career continuity and re-entry
Reading fidelity high
Study strength low
n=22
0.09

Notes