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Studies: women are 25% less likely than men to have basic digital skills, more likely to have automation-threatened jobs, and less likely to use ChatGPT at work

Isabel Berwick / Financial Times :

Financial Times Isabel Berwick

Context & Ripple Effects

The findings connect workplace AI adoption to an existing skills and job-exposure divide. Related coverage identifies clerical and administrative work—where women make up more than 85% of workers—as especially exposed and poorly equipped for the transition women-dominated clerical and administrative roles.

They also complicate a simple reading of AI-use data: a later report suggests some of the observed gap may reflect greater judgment toward women who use AI, and lower willingness to disclose that use visibility and disclosure pressures around AI use.

First-order effects

  • Women in automation-exposed roles face a double disadvantage: lower reported basic digital skills and lower workplace ChatGPT use may reduce their ability to capture productivity gains or adapt as tasks change.
  • Employers and workforce-development providers have a clearer reason to target digital-skills and AI-training access at affected roles rather than treating uptake as uniform across employees.

Second-order effects

  • Firms deploying AI in administrative workflows may see uneven adoption and performance gains unless training, manager expectations, and access barriers are addressed; this is particularly salient in female-majority clerical and administrative work.
  • Measures of workplace AI adoption may understate women’s actual experimentation if employees face different reputational costs for acknowledging use, making self-reported usage a less reliable benchmark.

Third-order effects

  • If skill access and AI use remain uneven while automation concentrates in women-dominated occupations, AI could widen occupational and earnings disparities even as overall workplace adoption rises.
  • The durable policy and management challenge shifts from simply expanding AI availability to ensuring that reskilling and deployment do not allocate transition risk disproportionately by gender.

The trend: Workplace AI is becoming a labor-market equity issue, as access, confidence, disclosure norms, and occupational exposure shape who benefits from automation.