There’s a version of the AI conversation that happens in boardrooms, on stages, and in the kind of long-form think pieces that get shared a lot and read a little. It’s confident. It’s often abstract. And it tends to be dominated by the same kinds of voices talking about the same kinds of futures.
AI Everywhere, Vol. 1 is something different.
Women currently make up 22% of the global AI workforce. At senior leadership level, that drops to under 14%. Which means the people deciding how AI gets built, explained, sold, and experienced by everyday consumers are largely not the people who represent those consumers.
That’s not a pipeline problem you can solve with a mentorship programme. It’s a structural gap that shows up in the work itself.
According to Talent500, 52% of women in tech report observing gender bias in generative AI tools. Diverse perspectives at the design stage aren’t a nicety. They’re how you catch what a homogeneous room misses.
This book is one response to that gap.
The full title is AI Everywhere, Volume 1: How Women Are Changing The World With Artificial Intelligence. It’s the first in a series produced by the SheWritesAI community, and it’s built around a simple conviction: that the AI conversation is more useful, more honest, and more complete when it centres human experience rather than capability alone.
Twenty-six women and nonbinary writers from 14 countries explore how artificial intelligence intersects with ethics, education, creativity, design, and the texture of everyday life. Not from a single vantage point, but from many. Educators, designers, ethicists, technologists, and practitioners writing from across five continents, each bringing a lens shaped by where they work and what they’ve seen.
What holds the book together isn’t a unified argument about whether AI is good or bad. It’s a shared commitment to asking better questions. Where does AI help? Where does it harm? How do we shape what comes next?
Each chapter approaches those questions from a different domain and a different context, which means the answers don’t flatten into a single take. They accumulate into something more useful: a map of the terrain as it actually exists, globally and in practice, rather than as it tends to get described in the places where the loudest voices on AI tend to gather.
The chapters are written to be accessible without being superficial. Every one of them centres human experience, looking at how AI affects real people in their daily lives and work rather than staying at the level of systems and capabilities. And each one moves toward the practical. Frameworks you can actually use. Questions worth asking in your own work. Ways of navigating AI that go beyond either uncritical enthusiasm or generalised alarm.
I have a chapter in this book. Chapter 15, titled Who Holds the Wheel, explores power, cost, and care in automotive AI. I came into the automotive sector as an outsider in some respects, a digital transformation and experience strategist rather than a lifelong automotive specialist.
What that gave me was a clear eye for the gap between what the industry was building and what customers were actually experiencing. Those are not always the same conversation. The car-buying journey now spans digital research, retailer interaction, connected vehicle onboarding, and an ongoing post-purchase relationship managed through apps and data agreements most customers never fully read.
Getting that experience right requires people who understand both the system and the person on the other side of it. I’ll write more about the chapter separately, but that’s the core of what I was trying to say.
Reading the other chapters reminded me of something that gets said a lot and practiced rarely: that global diversity of perspective changes what a body of work can actually see. Not in a symbolic sense. In a structural one.
The dynamics of AI in an Indonesian classroom are different from the dynamics of AI in a European automotive programme. A book that holds both of those conversations, alongside healthcare, agriculture, cybersecurity, creativity, ethics, and more, is doing something that a narrower project simply cannot.
The ebook is available now, with print editions following shortly. A second volume is already in planning for late 2026.
If you work in technology, design, education, policy, or any field where AI is becoming part of the landscape, this book will give you something to think with. Not reassurance. Rigour. And the kind of actionable perspective that comes from people who are actually in the work, not just writing about it from a distance.
You can buy it on Amazon or find purchasing and review links at shewritesai.org.
I’m genuinely glad this exists. And I’m proud to have contributed to it.
