There is a version of your day that never appears on any invoice.
The school run. The call to check on a parent. The mental note about the dentist, the birthday present, the permission slip. The unpaid hours between the visible ones that keep everything functioning. That most women carry more of this than men is not a theory. It is consistently, measurably true.
I mention this not as a complaint, but as context. Because the conversation about AI and the workplace cannot be separated from the reality of whose labour has always been undervalued, and who is now most exposed to the next wave of disruption.
The gap that legislation didn't close
In 2023, women in the EU earned 12% less per hour than men. The OECD average was nearly identical. The ILO estimates that globally, women earn around 20% less than men for work of equal value.
These figures do not come from a lack of effort. Equal pay legislation has existed in various forms for decades. The gap persists not because the law failed, but because hourly pay is only one part of the picture. Occupational segregation, career breaks, part-time work, and the underrepresentation of women in senior roles all contribute. The pay gap is not a single problem with a single fix. It is a structural pattern.
And now, that structure is about to be reshaped by AI.
Why AI is a new kind of pressure
The ILO confirmed as recently as March 2026 that female-dominated occupations are almost twice as likely to be exposed to generative AI disruption as male-dominated ones. LinkedIn's research found that in the US, 33.7% of women worked in roles classified as 'disrupted' by AI, compared to 25.5% of men.
The roles most exposed tend to be administrative, clerical, and communication-heavy. Scheduling, drafting, data entry, customer correspondence: tasks that are often feminised, often undervalued, and now automatable.
This is not a prediction about the future. It is already happening.
The women who learn to work with AI, not just hand things to it, are the ones who will hold ground as roles shift.
None of this means wholesale job loss. The more likely outcome is role redefinition: fewer entry-level positions, changed responsibilities, and a growing premium on people who understand how to use AI well. That premium will not be evenly distributed unless we are deliberate about who gets access to it.
The other side of the same technology
However, the same technology that is reshaping paid work can also do something that no previous innovation has managed to do at scale.
It can give women back time.
Not all of the time, and not the structural hours. AI cannot do the school run or sit with an elderly parent. But it can draft the email you have been putting off for three days. It can research, summarise, generate, and organise in minutes what used to take hours. For a woman running a business while also running a household, while also being the primary carer, the scheduler, the keeper of everyone's calendar, even two hours reclaimed per week is not a small thing.
I use AI this way in my own work. Not to replace thinking, but to compress the distance between an idea and a finished thing. To get out of my own head faster. To spend more of my time on the parts of the work that actually require me and that I enjoy doing.
It is not a solution to the structural problem. But it is a real and immediate tool for women who are already doing double the work.
Why upskilling now is the right move
The window is open. Not for much longer, but it is open now.
This week, Reese Witherspoon posted an Instagram Reel to her 30 million followers that went viral for exactly the right reasons. She described sitting with her book club and discovering that only three of the ten women present used AI at all, and only one of those felt she was using it well. Her response was not to lecture. It was to say: do you want to learn with me? She referenced the same pattern that runs through this entire post: women's jobs are disproportionately exposed to automation, and women are around 22% less likely to use generative AI tools than men, according to Harvard Business School research covering more than 140,000 people across 25 countries. "We don't want to be left behind," she said. I don't agree with every framing she used, and the backlash she received from writers, environmentalists, and people with entirely legitimate concerns about AI is worth taking seriously too. But the core of what she said is correct. The awareness gap is real. And the time to close it is now.
The businesses that will hold ground over the next few years are not the ones with the biggest budgets or the most staff. They are the ones where the person at the centre has learned how to use these tools well: to work faster, to produce more, to compete with operations ten times their size.
For female small business owners specifically, this matters more than the headlines suggest. You are already operating lean. You are already doing more with less. AI does not require you to become a technologist. It requires you to become comfortable with a new set of tools, the same way you once became comfortable with email, or social media, or a spreadsheet.
The research on AI bias in hiring is real and worth watching closely. AI systems trained on historical data can reproduce discrimination in recruitment and performance management. That is a problem that needs to be solved at the systemic level, by employers, policymakers, and the teams building these tools. But in the meantime, the most powerful thing you can do is reduce your exposure to disruption and expand your capability. Those two things happen together, through the same practice.
Start here
You do not need to overhaul your business this week. You need to pick one task that currently takes you two hours and find out whether AI can do it in twenty minutes. Not perfectly. Usably.
That is the whole thing, to begin with.
The gender pay gap is a structural problem that requires structural solutions. But structural change is slow, and you have a business to run right now. The tools that could help you do it better, with less time and more confidence, are already here.
The question is not whether AI will change your industry. It will. The question is whether you are the one driving that change, or whether it arrives and you are not ready for it.
You have time to get ready. Use it.
I'd love to hear from you: which part of your working day do you most wish you could get back?