AI, women in tech & why progress demands a human lens

Over the past 15 years, I've built businesses across multiple markets, at the intersection of human connection, technology, and transformation.

Yet despite the speed of innovation and the promises of artificial intelligence, opportunity for women in tech remains stubbornly slow to change. The gatekeepers have barely moved.

While compulsory heels and skirts may be over, the real challenge today is how we assess opportunity, who is believed early enough to scale, and which contributions are taken seriously.

Take the fact that women-founded startups receive around 2 per cent of global venture capital funding. Today's speed clearly does not equal equality. 

I've grown successful businesses across multiple markets, relocating from my home country, the Philippines, to Singapore in my late twenties, before establishing an Australian tech consultancy.

Like many women in tech, my career hasn't followed a straight line. In an industry that prides itself on innovation, this is still too often framed as a liability rather than proof of resilience, adaptability, and range. Women bring experience that cuts across markets, functions, and systems, yet it remains undervalued because it doesn't fit neatly into traditional credential frameworks, despite this being precisely the experience fast-moving tech environments demand.

In 2026, hirers, investors, and accelerators still too often default to familiarity over capability, even as they claim to value adaptability and innovation.

This matters now more than ever. As AI is rapidly adopted and developed, the tech sector prides itself on innovation while quietly relying on outdated assumptions about leadership and credibility, including who "looks like a founder" and who is assumed to bring coffee into the meeting room.

Women are still expected to prove seriousness, combat stigma created long before them, and justify ambition and longevity in ways their male counterparts are rarely asked to.

These are year-round barriers. International Women's Day offers a timely moment to examine how these patterns persist, particularly as AI becomes more embedded in how businesses hire, train, and scale talent.

AI presents a real opportunity to widen access for women in tech, if deployed with intention. These tools can compress learning curves, support skill development, and make technical knowledge more accessible to those who haven't been encouraged into traditional Science, Technology, Engineering, or Mathematics pathways. Used well, they can help women build confidence faster, test ideas safely, and develop capabilities that once took years to acquire.

But technology alone does not remove bias. It can just as easily reinforce it.

When AI systems are designed without human judgement, they risk replicating the same structural blind spots that already exist. Automation does not eliminate assumptions about who looks credible, sounds authoritative, or whose experience counts. It simply encodes those assumptions at scale.

This is why a more human lens is essential across how we build tech, run businesses, and define leadership.

A human lens recognises that attitude, work ethic, and the ability to learn quickly are critical business assets. These qualities are difficult to measure through traditional credentials, yet they consistently predict long-term performance. You cannot train hunger. You cannot automate integrity. And you cannot replace resilience with process.

Businesses that want to leverage new technologies need to align their systems with how people build capabilities in the real world. This means valuing diverse career paths, rewarding delivery over proximity, and creating environments where contribution matters more than conformity.

It also means reconsidering how opportunity is extended. Skilled migration, for example, is often discussed as a policy challenge rather than an economic advantage. Yet many businesses, particularly in the tech sector, rely on global talent to respond to demand, innovate, and scale. When pathways become unnecessarily complex, both companies and communities lose out.

In January, I became an Australian citizen, a milestone that reinforced my belief that opportunity creates value far beyond the individual, when it's extended thoughtfully. Women given room to build tend to create opportunities for others as they grow. This is not idealism; it's observable in how teams are formed, how knowledge is shared, and how leadership is practised.

AI has the potential to amplify this effect, but only if we remain clear-eyed and intentional about its role. Technology should support human judgement, not replace it. And it should help organisations identify potential that might otherwise be overlooked.

The future of tech will not hinge on its sophistication, but on whether we are willing to rethink how opportunity is recognised and distributed.

This International Women's Day, I invite everyone passionate about technology, business, and innovation to celebrate progress but at the same time: ask whether our systems, digital or otherwise, are designed to reflect how people actually succeed, or whether they continue to favour those who already hold power.

Real progress, and sustainable growth, starts with adopting a more human lens. A lens that recognises capability comes from all walks of life, and often long before it's formally acknowledged.