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WIRED says it surveyed 634 women who work in tech, highlighting two themes: executives automating work with AI and new hires confronting bro culture. Those are the feature’s stated subjects, not quantified findings about all women in the industry. The accessible article page does not provide the survey methods or response breakdowns needed to assess how widely the views apply.

What WIRED’s feature says the survey covered

In a feature by Sandra Upson published September 21, 2026, WIRED describes a survey of 634 women working in technology. Its deck foregrounds executives using AI to automate their days and new hires confronting bro culture. WIRED places the feature in its broader Women issue, a package about women’s roles and experiences in technology.

The headline and deck establish the survey’s stated size and editorial framing. They do not, by themselves, show how many respondents reported any particular experience, how strongly they felt about it, or whether those themes were common across the respondents.

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What the accessible material does not establish

The accessible WIRED pages do not disclose the questionnaire, recruitment method, field dates, response rate, respondent demographics, weighting, or representativeness. Without those details, the number 634 cannot establish that the respondents reflect the full population of women working in tech.

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The article links to a presentation labeled “WIRED-WOMEN-IN-TECH-SURVEY,” but its contents are not available in the accessible material. No respondent quotations or detailed results can therefore be responsibly supplied here. The deck’s sentence about what women told WIRED is editorial framing, not a verbatim participant quotation.

How to read the headline

The most precise takeaway is that WIRED reports collecting responses from 634 women in tech and chose to foreground AI-driven work automation and workplace culture. The feature points to topics worth examining, but the available information does not support claims such as “women in tech believe” or a numerical estimate of how widespread either experience is. Those conclusions would require the survey questions, results, and a clear account of who was surveyed.

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