As AI continues to reshape the world of work, which two distinctly human capabilities do you believe will become even more valuable? How can organizations intentionally build and nurture these skills through their learning and development strategies?
With so much of the conversation around AI focused on dystopian possibilities, I think it’s important to pause and ask a simpler question: what can AI do, and what can it never truly do?
What remains uniquely human is our ability to connect with one another. AI can process information at incredible speed, but it cannot genuinely understand context, build meaningful relationships, inspire trust, or connect with people on an emotional level.
If I had to identify two skills that will remain distinctly human, the first would be empathy and emotional intelligence. The ability to understand nuance, navigate complexity, build trust, show compassion, and guide others through uncertainty is something technology cannot replicate. These qualities sit at the heart of effective leadership and meaningful human relationships.
The second is creativity and imagination. Across cultures, women have often been celebrated as symbols of creativity, innovation, and possibility. Think about it: every breakthrough, every invention, every great book, every transformative idea began with someone’s imagination. AI can generate options and patterns, but true creativity comes from the unique experiences, perspectives, and insights of an individual. That spark of originality is deeply human.
One of my favorite words is “supercalifragilisticexpialidocious”—made famous by Mary Poppins. It’s memorable because it reflects imagination, playfulness, and the courage to create something entirely new. Those are qualities we should continue to nurture.
For women especially, this means leaning into their strengths, embracing their authentic leadership style, and cultivating the confidence to bring their unique perspectives to the table. Organizations, too, have a responsibility to develop these capabilities. Alongside technical and digital skills, they must intentionally invest in empathy, creativity, ethics, and values.
Strong mentorship programs, opportunities for collaboration, and learning experiences that encourage reflection, innovation, and human connection will be critical. As AI becomes more powerful, the skills that will truly differentiate us are the ones that make us human.
As organizations increasingly rely on AI-driven decision-making, what governance mechanisms are needed to ensure fairness and mitigate unintended biases against women across talent management practices?
This is a topic we are actively working on within our own organization as we integrate AI into our processes and explore opportunities for automation.
One of the most important things to remember is that AI is only as good as the data and instructions it is given. If we feed biased data into a system, AI will not eliminate those biases, it will amplify them. Conversely, if we provide high-quality, inclusive, and representative data, AI can help scale fairness and consistency. That is why the starting point must always be strong policy frameworks and clear governance.
Simultaneously, we must recognize that AI should support decision-making, not replace human judgment. A few months ago, there were reports of drivers being impacted by AI-driven decisions without having meaningful opportunities to present their circumstances or seek human review. Incidents like these remind us that while AI can streamline processes and improve efficiency, accountability and final judgment must remain human-centered.
To achieve this, organizations need diverse teams involved in designing, deploying, and governing AI systems. This cannot be the responsibility of HR or technology teams alone. Diversity of thought, experience, and perspective is critical to identifying blind spots and ensuring that AI systems are designed with fairness in mind from the outset.
The second priority is continuous monitoring. Organizations must regularly analyze and dis-aggregate data by gender and other demographic factors to identify unintended patterns or outcomes. Bias is not a one-time problem that can be solved at launch; it requires ongoing vigilance.
Finally, auditing must be built into the AI journey from day one. Too often, organizations focus only on AI applications within HR, but bias can emerge across every function—from operations and finance to customer engagement and performance management. Comprehensive AI audits, conducted periodically across the organization, are essential to ensure that systems remain transparent, accountable, and aligned with organizational values.
Ultimately, the goal is not simply to deploy AI responsibly; it is to ensure that technology strengthens fairness, inclusion, and trust. AI may help us make faster decisions, but it is human values, oversight, and accountability that ensure those decisions are the right ones.
If you were to look ahead to AI-powered workplaces in 2035, what role do you see women playing in shaping leadership, driving innovation, and influencing policy to ensure that the future of work is both equitable and inclusive?
It may seem difficult to imagine today, but given the pace at which agentic AI is evolving, we are likely moving toward a future where humans work alongside increasingly sophisticated AI systems and even humanoid robots. While technology will continue to transform how work gets done, it is equally important to recognize what AI can and cannot do.
AI can process data, automate decisions, and enhance productivity, but it cannot replace the human qualities that create trust, inspire people, and build meaningful cultures. That is why I believe the future of leadership, particularly for women leaders, will be defined by human-centered leadership.
Women leaders have a unique opportunity to shape this future. Many of the leadership strengths often associated with women – empathy, collaboration, inclusive decision-making, and relationship-building; will become even more critical in an AI-powered world. The organizations that thrive will not simply be those that adopt the latest technology, but those that balance technological advancement with a deep commitment to humanity.
In the future of work, technology may drive efficiency, but it will be human-centered leadership that drives trust, belonging, and sustainable success.
