Today, I want to talk about the incredible women who are not just participating in the AI revolution, but leading it. In a field that is still male-dominated, these women are breaking barriers, driving innovation, and shaping a future where technology reflects the full spectrum of human potential.
Women Leading the AI Revolution
I'm seeing brilliant minds like Joy Buolamwini, who has been described as “the conscience of the A.I. revolution,” for her work on algorithmic bias, and Fei-Fei Li, a professor at Stanford, whose ImageNet project was a catalyst for the modern era of deep learning. She has also tirelessly advocated for a more inclusive, equitable, and human approach to AI. Rana el Kaliouby, CEO and co-founder of Affectiva, is pioneering the field of Emotion AI.
These are among the many women who show us what's possible when diverse voices are at the table.
Among these incredible leaders, Katherine Kostereva, CEO of Creatio, stands out to me. She bootstrapped Creatio in 2014 — she was “doing AI when AI wasn’t cool”. Her mission? To bring no-code technology to the world, making it easier for anyone to automate business processes. Fast forward to today…under her leadership, Creatio has grown into a global company, valued at $1.2 billion (#UnicornStatus), and has been named a leader in multiple Gartner Magic Quadrants.
I personally admire Katherine because she is a visionary in the no-code space, making AI more accessible to businesses of all sizes. She envisioned “a world where any business idea could be automated in minutes”—and she built a platform to make that vision a reality. Her vision of making AI and automation accessible to everyone resonates with me, as I firmly believe that technology should empower, not exclude, those who seek to innovate and grow.
The Risks of Moving Backward
While we celebrate these achievements, we must also recognize the challenges ahead. Recent anti-DEI initiatives, including those coming from the White House, risk undermining decades of progress. When government agencies respond by removing historical information about women and minority groups from official channels, it raises concerns about how these policies may limit opportunities and representation in AI and tech.
AI is only as good as the data it is trained on—and the people who shape its development. A less inclusive AI industry doesn’t just hurt women and minorities—it limits innovation, weakens global competitiveness, and increases the risk of bias in the technologies we all rely on.
Now, more than ever, we must commit to supporting and amplifying the voices of women in AI. Ensuring that diverse perspectives remain central to AI’s development isn’t just about fairness—it’s about building a stronger, more ethical, and more innovative future for everyone.
Let’s keep pushing forward.
#WomenInAI #DiversityInTech #AIInnovation