Women caught up on AI fast, and that is exactly why the trust gap matters

Cover image: AI-generated

Women did not fall behind on AI. They caught up fast, and they still do not trust it in the same way men do, and that gap is the real story.

Pew Research Center surveyed 5,119 adults in the United States in February 2026, and the numbers are close now. Half of men said they had used an AI chatbot, and 47 percent of women said the same. Two years earlier it was 39 percent of men and only 28 percent of women. On ChatGPT itself, use is now even, at 44 percent for both men and women.

That sounds like the gap is closed. It is not, because trying something once is not the same as using it every day and feeling sure about it. Pew found that 27 percent of men use a chatbot daily, compared with 20 percent of women. Men were also more likely to say a chatbot helps their work, at 35 percent, compared with 25 percent of women.

The trust side is where the numbers pull apart. Pew found that 68 percent of women say AI is moving too fast, compared with 58 percent of men. A separate October 2026 study from the Shorenstein Center at Harvard Kennedy School found the same pattern in a different way. Women reported lower trust in AI than men, and they were more likely to link AI with worry and anxiety, while men were more likely to link it with curiosity and excitement.

I think that worry makes sense, and I do not think it means women are afraid of new tools. A chatbot can be useful for small everyday things, like checking a shop opening time or getting ideas for a meal, and it can still feel wrong to hand it a big decision. For health questions I check with a real doctor, and for religious questions I check with a trusted scholar, not a chatbot. That is not a lack of trust in learning. It is knowing where a chatbot should stop.

The Shorenstein study also found a practical reason behind the gap. Among people who work, women were more likely than men to say they had received no AI training at work, at 64 percent compared with 49 percent. It is hard to feel confident with a tool no one showed you how to use well. Confidence does not come from being told to just try it. It comes from good training, clear limits, and honest talk about where AI gets things wrong.

There is another part of this that often gets missed. OpenAI and Harvard researchers studied 1.5 million chats and found that users with typically feminine names rose from 37 percent in early 2024 to 52 percent by July 2025. Women are not standing outside this change. They are a large part of it now, in everyday use, not only in tech jobs.

So the question is not how to get more women to try AI. They already did. The question is how to make AI worth trusting for the people who use it most carefully. That means better training at work, clearer answers about mistakes, and tools that respect the line between a quick everyday check and a decision that really matters.

Women caught up on AI, and they are still asking it to earn their trust.