The AI Adoption Tax and How Women Can Stop Paying It
- Jul 20
- 5 min read
Suzie Rogers is an experienced peak performance coach who specializes in supporting women in senior leadership roles, helping them navigate life in both the corporate world and as small business owners.
Every major shift in how we work creates two groups: the people who shaped it and the people who adapted to it later, on someone else’s terms. With generative AI, the evidence is now unambiguous about who is at risk of ending up in the second group, and it is not because of ability, intelligence, or potential. It is women. The cost of waiting is not a single missed opportunity. It is a tax, and it compounds.
The gap is real, and it is everywhere
This is not an anecdote. Harvard Business School research led by Professor Rembrand Koning, synthesising 18 studies covering more than 140,000 people worldwide, found that women are adopting generative AI tools at a rate roughly 25% lower than men, a gap that holds across every region, sector, and occupation studied. A landmark study of 18,000 workers in Denmark, published in PNAS, found that women were 16 percentage points less likely than men in the exact same occupation to use ChatGPT for work.
Closer to day-to-day working life, Lean In’s 2026 survey of US workers found that 33% of men use AI daily, compared with 27% of women. More tellingly, 37% of men said their manager encouraged them to use AI, compared with 30% of women, and 27% of men had been praised for using it, versus just 18% of women. Men are not only using AI more, they are being rewarded more for the same behaviour.
Here is the uncomfortable part: Women’s hesitation is rational
If you have held back, it is probably not fear of technology. It is an accurate reading of your environment. A study of over 28,000 software engineers, covered in Harvard Business Review, found that when men and women submitted identical AI-assisted work, women’s perceived competence dropped by 13%, more than double the 6% penalty men received. The harshest judges were male colleagues who had not adopted AI themselves. They penalised women 26% more than men for the same behaviour. Women in the study knew this, and it measurably reduced their use of the tools.
On top of that, Lean In found that women are 32% more likely to fear being called cheaters for using AI, and BCG’s Women in Tech survey identified the three drivers of the gap as awareness of how critical AI will be, risk tolerance in the absence of clear company policy, and confidence. Many women have spent their careers being rewarded for diligence and penalised for anything that looked like a shortcut. Of course, we hesitate. But rational hesitation still carries a bill. The bill is growing.
The tax, itemised
The productivity tax. Colleagues using AI daily are reclaiming hours every week on drafting, analysis, preparation, and admin. Those hours go into higher visibility work or simply into getting home earlier. You are doing the same job with less leverage.
The compounding skill tax. AI fluency is built through use, not courses. The judgment of knowing what to delegate to AI, what to verify, and what to keep for yourself is becoming a core professional skill. Every month without using it widens the gap because the early users are compounding.
The visibility tax. When organisations look for people to lead AI-enabled projects, which are often strategic and career-making, they pick visible adopters. Sit out now, and you are quietly filtered from tomorrow’s leadership pipeline, compounding the gender gaps that already exist within it.
The collective tax. AI tools learn from their users. If women are underrepresented among early users, the tools and the workplace norms around them are built around men’s patterns and preferences. Harvard’s analysis puts the lost productivity from this gap in the hundreds of billions of dollars in the US alone.
How to stop paying it: A practical playbook
You do not need to become a tech person. You need deliberate practice with clear boundaries. Here is what I recommend to my coaching clients:
Start with friction, not fascination. List the five tasks you do every week that drain you. These could include meeting preparation, first drafts, summarising documents, and untangling emails. Pick two and use AI on them this week. Real work, not toy experiments, is where confidence is built.
Commit to 20 minutes a day for 30 days. Fluency comes from repetition. Treat it like any other professional habit: small, daily, and nonnegotiable. By week three, you will have opinions about what these tools are good and bad at, and opinions are the beginning of expertise.
Use it out loud. The competence penalty thrives in silence. Say in meetings, “I used AI for the first draft, then rewrote the argument, and it cut my preparation time in half.” Framing your use as deliberate and skilled positions you as someone who takes initiative, and it makes it safer for every other woman in the room.
Keep judgment as your job description. If concerns about ethics and accuracy are holding you back, do not discard them. Deploy them. AI drafts, you decide. Women’s scepticism about these tools is exactly what responsible AI and governance work need, and those are fast-growing leadership lanes.
Ask for training in writing and do it publicly. The research shows that managers encourage men more. Do not wait to be invited. Ask your manager what the company’s AI policy is, request training in your development plan, and suggest a team session. Asking signals ambition, it also creates the clarity the whole team is missing.
Build a circle. Find two or three peers and share one AI win or failure each week. Women consistently report that a lack of training and low confidence are the barriers, and both dissolve fastest in community.
If you lead people, this is yours to fix too
Managers, audit who you are encouraging and praising for AI use. The data says it is probably not the women on your team. Set a clear policy so using AI never feels like a risk, praise skilled use publicly and evenly, and make training the default rather than something employees must actively request. The gap is a systems problem wearing the costume of a confidence problem.
The aligned way forward
I work with women who want success that feels aligned, and I have watched some of them treat AI avoidance as a values statement. I understand the instinct. But there is nothing aligned about paying a tax your male colleagues are not paying for work of identical quality. Alignment means engaging on your own terms: with judgment, with boundaries, and early enough to shape the norms instead of inheriting them.
The women who start now will not just avoid the tax. They will be the ones deciding how these tools get used, and that is a seat worth taking.
Read more from Suzie Rogers
Suzie Rogers, Leadership & Life Coach, and Founder of Aligned Success
With over 20 years of experience in leadership roles, Suzie has seen firsthand what separates those who simply hold a title from those who truly command their future. She believes real success isn't just about the accolades you've already won, it's about the forward momentum you create and the person you choose to become next. Now, she is coaching women in senior leadership roles to do just that.
