What if I told you that the people most equipped to ensure artificial intelligence serves all of humanity are the very people being systematically shut out of building it? That’s not a hypothetical. That’s today’s reality – and I’ve spent years working at the intersection of equity, technology, learning, and organizational transformation watching this crisis unfold in real time.
AI is reshaping every dimension of human life: clinical decision-making, workforce design, economic, education, policy, social infrastructure. Yet women hold only 22% of global AI roles and represent just 18% of AI researchers.
Across the broader tech sector, we make up only 26.7% of the workforce – a single percentage point of growth since the year 2000. Half of all women in tech leave the field by age 35. And only 2.3% of venture capital funding goes to all-female founders. These numbers are not just discouraging. They are dangerous.
A Triple Whammy We Can’t Ignore
The World Economic Forum has named what I believe is the defining equity crisis of our generation: a “triple whammy” where fewer women enter AI fields to begin with, fewer of us reach the C-suite in technology organizations, and women’s jobs are disproportionately displaced – rather than augmented – by AI systems. As a consequence, 85%
This is not a coincidence. It is a compounding feedback loop. AI is built without women at the table, and the lack of diverse workforce, so systems encode a monolithic, male-dominant perspective and biases. Those biased systems produce outcomes that further marginalize inter-cultural individuals and women. Fewer women then enter or remain in the field. And the cycle deepens and accelerates.
I want to say this plainly: this is not a pipeline problem. It is a systems-level failure – and it demands a systems-level intervention.
The Skills We Bring Are Not “Soft” – They Are Strategic
For too long, we have accepted a false hierarchy that frames emotional intelligence, empathy, ethical reasoning, and systems thinking as supplementary – nice to have, but secondary to so-called “hard skills.” I reject that framing entirely.
These capabilities are architecturally strategic. They determine not just how well AI performs, but for whom it performs and whose values it encodes into the world.
The evidence backs this up. Research shows that leaders with high emotional intelligence demonstrate 51% better adaptability in complex, ambiguous environments – which is precisely the terrain of AI governance.
The WEF Future of Jobs Report 2025 identifies empathy, resilience, self-awareness, and lifelong learning among the top skills demanded by 2030. And 89% of C-level executives affirm that strong AI ethics and governance frameworks don’t constrain innovation – they drive it. As consequence, according to MIT Sloan 2023, reports that 85% of AI project failures trace to people and process issues not technology.
Women demonstrated strengths in relational intelligence, inclusivity, and multi-system thinking. They are competitive and ethical necessities.
What Human-Centric AI Actually Means
In my work, I’ve seen too many AI initiatives fall into what I call the “shiny object” trap – racing to deploy the latest tool without ever asking: does this serve real human needs? Were the people most affected by this system involved in designing it?
Human-centric AI is not about technology. It is about people first. It means designing and deploying AI around human needs, human values, and lived experiences – so that we extend human capability rather than replace it.
I’ve built a framework around a simple but powerful word: HUMAN.
- H – Humanise design to serve all populations leveraging digital
- U – Unlock potential through reskilling and inspiration
- M – Mobilise, lead, include others to reinvent work and innovate
- A – Activate organisations to collaborate, change and improve well being and performance
- N – Network locally, country, and global to share AI expertise for people and society to thrive
This framework includes tools for application, a Change Management Governance AI Readiness, a YouInc. Women AI Growth and an AI Impact Value Measurement because AI without humanistic oversight produces algorithmic bias, inequity, and erosion of trust. And women – with our lived experience of navigating systems not designed for us – are uniquely positioned to mitigate those risks.
Four Imperatives for Change
I’m not interested in incremental progress. The pace of AI development demands that we act boldly and immediately. Here is what I believe organizational leaders must do right now:
First, skills augmentation and power. Women to leverage AI digital revolution to reinvent themselves, managing their career as a business-YouInc, for growth and economic stability.
Second, redesign talent pipelines. Bring women into AI as architects and governors – not just end users. Create intentional pathways for technology AI literacy & leadership and human-centric design and change education through mid-career re-entry to executive AI leadership. Stop designing for entry and start designing for authority.
Third, invest in women-led AI innovation. If we truly believe women’s humanistic leadership is essential to responsible and successful AI for financial value, we must fund it as though it is essential. Moving from 2.3% of VC funding to intentional, structural capital allocation is not charity – it is a strategic correction? –don’t know where this data is from – we may want to clarify what is VC? .
Fourth, adopt a human-centric AI design framework. Prioritise human needs, governance, with women in decision-making seats at the table, ethics, and values in every stage of AI design, deployment, and measurement of impact in organisations and human value. Extend human capabilities. Promote creativity and judgment. Resist the pull toward full automation for its own sake.
The Architects We Must Be
The question before us is not whether AI will transform the world. It will. The question is whether we have the courage to reinvent ourselves to enable organisations transform to deliver equitable experiences for all, where people and organizations thrive elevating human potential – or only a narrow slice of it.
Women were never meant to stand at the margins of this revolution. We are its architects, its guardians, and its necessary conscience. The very instincts once minimized as “soft” are the forces capable of shaping an AI future that is ethical, impactful, and profoundly human.
The future of AI – and the future of humanistic, equitable experiences across our organisations and societies – depends on the courage of the choices we make today.
Name: Dr. Rosa Colón-Kolacko
Bio: Dr. Rosa M. Colon-Kolacko is the President and Founder of Global Equity Learning and an adjunct professor and a researcher at Tufts University School of Medicine. With over 30 years of experience across healthcare, life sciences, government, consulting and academia, she is a recognized expert in human-centric leadership, equity strategy, systems transformation and human resourcing. She is a sought-after consultant, speaker, and advisor advancing inclusive, data-driven leadership worldwide.
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