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Industrial Relations A Journal of Economy and Society· 2026Q1

Artificial Intelligence‐Related Digital Skills and Employment Outcomes for Underrepresented Women

Nick Drydakis

Short summary

Signaling AI-related digital skills increases interview invitations for underrepresented women in England, but does not fully eliminate their hiring disadvantage compared to majority-group women.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Underrepresented women in England face disadvantages in job seeking, receiving fewer interview invitations and lower pay offers.
  • Signaling AI-related digital skills increases interview invitations for underrepresented women.
  • AI skill signaling does not fully eliminate the hiring disadvantage faced by underrepresented women.
  • The findings support AI Capital and productivity-signaling frameworks.

AI-generated from the title and abstract; the full text is not read.

Abstract

ABSTRACT This study examines whether signaling AI‐related digital skills improves employment outcomes for women from underrepresented groups defined by race, age, sexual orientation and autism‐spectrum disclosure in England. The findings indicate that underrepresented women receive fewer interview invitations and are invited to lower‐paid vacancies relative to majority‐group women. Signaling AI‐related digital skills improves interview invitations for underrepresented women in the pooled analysis, although their disadvantage is not removed. The observed uplift is consistent with AI Capital and productivity‐signaling frameworks, yet such credentials remain insufficient to eliminate disadvantage. AI training should therefore be complemented by stronger equality enforcement.

The authors' abstract, as published at the source. Industrial Relations A Journal of Economy and Society, 2026 · DOI ↗

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Field: Safety Research

Safety ResearchSocial Sciences