AI’s Woke Agenda: Women Call Out Big Tech

Person holding virtual icons related to artificial intelligence

Just when you thought AI couldn’t get any more controversial, a national study now shows women are far more wary of artificial intelligence than men, spurring a wave of skepticism that’s shining a harsh light on the tech industry’s persistent blind spots and the woke agenda’s obsession with “equity” over common sense.

At a Glance

Women in the U.S. are significantly more skeptical than men about artificial intelligence, citing bias and fairness concerns.
National study finds women trust AI less in key areas like hiring and workplace decision-making.
Decades of underrepresentation and high-profile scandals have fueled women’s distrust of AI systems.
Calls for greater transparency and diversity in AI design are louder than ever as the industry faces mounting scrutiny.

National Study Reveals Deep Gender Divide in AI Trust

Researchers from Georgetown University, Boston University, and the University of Vermont have released a bombshell study showing that women are considerably more skeptical of artificial intelligence than their male counterparts. The findings, published in 2025, confirm what many conservatives have suspected for years: the tech world’s obsession with “progress” has left common sense, fairness, and the average American woman in the dust. When AI systems are allowed to make high-stakes decisions, such as who gets hired or promoted, women are more likely to see the risks and speak out about them. This skepticism isn’t coming out of nowhere—it’s rooted in decades of underrepresentation, repeated examples of bias, and tech companies that seem more interested in virtue signaling than in building reliable, trustworthy systems.

The study found that women are particularly uneasy about AI being used for workplace decisions, including hiring and performance reviews. The concern? AI systems are often trained on historical data that doesn’t reflect the real world—especially when it comes to women’s experiences. In other words, when you feed a machine “woke” data, you get “woke” results: more bias, more unfairness, and more reasons for the average American to distrust the system. Researchers also reported that women are more likely to comply with workplace bans on AI tools, but when the rules allow it, both men and women use AI at similar rates. The difference is, women keep asking tough questions about how these tools are built and who they benefit.

Decades of Bias and High-Profile Scandals Fuel Distrust

AI’s trust problem didn’t spring up overnight. For years, the tech industry has been a closed club, dominated by men and riddled with scandals that highlight just how little regard they’ve had for fairness—or for the Constitution, for that matter. Back in 2018, MIT researchers exposed that commercial facial-recognition systems worked far less accurately for women and people with darker skin. Then came the 2020 firing of Timnit Gebru and Margaret Mitchell, two leading women in AI ethics, after they dared to challenge the lack of transparency and the avalanche of bias in Google’s large language models. Each incident has chipped away at public trust, especially among women, who see exactly how quickly the left’s “diversity” talking points vanish when it threatens Big Tech’s bottom line.

Across the country, efforts are underway to drag the tech industry—kicking and screaming—into an era of real accountability. Cities like Boston are now working to make data collection and public digital services more gender inclusive. But let’s be honest: these efforts are often bogged down by the same kind of bureaucratic nonsense and virtue signaling that created the problem in the first place. Until there are real consequences for companies that build biased systems, women’s skepticism is here to stay.

Calls for Transparency and Accountability Intensify

With AI invading every corner of our lives—from job applications to government benefits—women’s voices are finally starting to cut through the noise. The authors of the 2025 study are calling for clearer policies and greater diversity among AI system designers. Translated: stop letting the same Silicon Valley insiders make all the decisions, and start listening to the people who are actually affected by these technologies. The stakes are high—not just for women, but for anyone who cares about the basic principles of fairness, transparency, and good old-fashioned American common sense.

The fallout goes far beyond tech. If AI systems keep perpetuating bias, the result is less trust in our institutions, more social division, and yet another reason for Americans to roll their eyes at the endless parade of “expert” panels and think tank reports. Regulators are under pressure to step in, and the industry may soon face tough new rules that force greater transparency and inclusivity. But let’s not kid ourselves: as long as the tech elite keep putting ideology over results, women—and plenty of men—will keep their guard up.