Accountability for Women Learning AI or Building Their First App

You have a browser tab open with an app builder someone mentioned at a workshop. You've typed a description of the app you want: a simple way for the people in your choir to swap rides to rehearsal. The preview half works. One button does nothing. You'd love to ask someone, but the people you know either don't use these tools or seem to understand them already, and you don't want to sound behind.

So you close the tab and promise yourself you'll figure it out this weekend.

If that sounds familiar, you're in good company, and there's nothing wrong with how you're learning.

You're not imagining the gap in AI use

In 2024, researchers Nicholas Otis, Solène Delecourt, Katelyn Cranney and Rembrand Koning brought together evidence from 18 studies covering more than 140,000 people around the world. In a Harvard Business School working paper, they reported that women were less likely than men to use generative AI tools, in nearly every region, sector and occupation they looked at. A gap remained even in studies that gave men and women equal access to the tools. Harvard's Digital Data Design Institute, summarizing the work, put it at roughly 20 percent.

Why? The researchers don't claim to have the full answer. Speaking to Harvard Business School Working Knowledge, Koning pointed to a few possibilities, including a worry that using AI could look like cheating.

What it does suggest is this: if you feel a little hesitant, or a little alone with your questions, that's a widely shared experience, not a personal shortcoming. Hesitation tends to ease with practice, and with company.

Being new to this isn't the same as being behind. Everyone using these tools started with a first question.

What makes learning AI easier to keep going

• A real project, not a set of exercises. Something you'd actually use, like the ride-swap app or a tool for your own creative work.
• Permission to ask small questions. "Why does this button do nothing?" is a perfectly good question. Writing questions down as you go keeps them from piling up into a reason to stop.
• A regular time to practice. A short, protected slot each week does more than an ambitious plan that keeps getting pushed.
• Someone who knows you're doing it. This is the one most of us skip.

Why an accountability partner helps here

An accountability partner isn't a tutor. They don't need to know more about AI than you do. What they offer is steadier than that: someone who knows your goal, checks in on a rhythm, and remembers what you were working on last week. That makes it easier to come back after a busy stretch instead of feeling like you have to start over.

Some women find it easier to share early, messy progress with another woman who's also holding a lot. If that's you, we wrote about finding an accountability partner for women. For the basics of how a partnership works and how to find one, see our accountability partner guide.

Dreamaker is being built around that pairing: a real person in your corner, matched with you within 24 hours or invited by you, plus an AI Sidekick for the in-between questions that feel too small to bring to anyone. The person stays at the center.

This week

Pick one small app or AI project you'd genuinely use. Spend twenty minutes on it and write down the first question you get stuck on. Then share the project, and the question, with one person, and ask if the two of you can check in again next week.