If you asked me who is the most productive and efficient person I know, I would pick my mom, and then my sister. OK, I know that’s two people, and then I would have to add everyone else who is juggling their personal and professional lives and making it all look easy. Which is why I’m so thrilled to see more and more women building with AI.
Many women already know exactly what they would change about the way work gets done.
They know which process requires too much chasing, which information is always missing, and which task takes an hour when it should take ten minutes. They have developed workarounds, connected the pieces, and kept things moving. That knowledge is a valuable starting point for building with AI.
What may be less familiar is the possibility of building something themselves.
I spent eight weeks building the agent system that now supports my own work. I started with problems I understood: work I repeated, information I needed, and coordination that consumed attention I wanted to use elsewhere. Building helped me turn those observations into something I could test and improve.
I could examine which information the system needed, which actions I was willing to delegate, and what evidence would let me trust a result. When something did not work, there was a specific behavior to investigate. The conversation became more precise because I had something real in front of me.
For women whose expertise is in operations, strategy, finance, people, customer experience, or a particular industry, that expertise is a starting asset. Understanding the work helps us notice when an output misses the point, when an exception matters, and when a proposed efficiency creates difficulty for someone else.
Those judgments shape a system. So do choices about what success means and who gets to challenge the result. Building creates a way to express professional knowledge in the design, before a process hardens around someone else's assumptions.
You do not need to begin with an ambitious product idea. Start with something you regularly find yourself thinking: “There has to be a better way to do this.” Describe what happens today, what you wish happened instead, and what would make the result useful enough to trust.
Choose a first experiment you can test without exposing sensitive information or affecting another person. A meeting-preparation aid using public material, a planning exercise with sample data, or a tool for organizing your own learning can provide a useful place to begin.
Decide what it may read, produce, or change. Then try it and inspect what happens. You do not need to understand every technical component before starting a bounded experiment, but you do need to understand the consequences of the permissions you grant.
Invite another person to test it. Ask them to use incomplete information, challenge an answer, or try a case you did not anticipate. Their experience can reveal what you assumed was obvious. Learning how to improve the design is part of the accomplishment.
This also changes how we talk about confidence. A useful basis for confidence is evidence: I built this, tested these conditions, found these limits, and know where I need help. That position leaves room for curiosity and collaboration. It does not require pretending to have mastered a field that is still evolving.
The opportunity extends beyond personal productivity. A faster research brief may be helpful. A new way to prepare for a difficult decision, teach a concept, explore a customer need, or test a business idea may change what you are able to attempt.
I want more women involved in that exploration. The question is larger than whether AI can help us complete today's task list. It includes which possibilities we recognize, whose needs we consider, and which changes we decide are worth pursuing.
Responsibility for participation also sits with organizations. Encouraging women to experiment is insufficient if access, protected time, sponsorship, and meaningful ownership remain uneven. Leaders can create paid opportunities to build, provide appropriate tools and support, and make sure the people doing the work receive credit for it.
That includes participation in consequential decisions. Who defines the evaluation criteria? Who presents the work to leadership? Who owns the pilot and receives the next opportunity? Being invited to test a tool is different from having a voice in how the organization uses it.
Peer communities can help people enter and remain in that work. Small groups can compare what they are building, make uncertainty discussable, and help each other resolve practical obstacles. The most useful support may be a colleague willing to sit beside someone while they try something unfamiliar.
There should also be room to decline a particular tool or use case for a sound reason. Participation does not require accepting every vendor claim or granting every requested permission. The ability to examine an approach and explain why it should change is itself a form of influence.
For women leading teams, I would make one small build a shared learning experience. Choose a real question, create a bounded experiment, and discuss what it reveals about the work. For leaders sponsoring that effort, make the time and decision-making access real.
Your experience gives you a place to start. Building lets you discover what else is possible.
If you aren’t already building, reach out if you'd like help getting started!