Skills-Based Talent Management: How AI Can Uncover Abilities That Job Titles Don't Show

A job title tells an increasingly smaller part of a person.

Over the past few months, I embarked on a journey that began with a simple question: how are people using artificial intelligence in their daily lives? From there, we invited everyone to share their experiences. These responses led us to promote training in intrapreneurship, foster curiosity, and eventually launch an internal hackathon.

One of the winning teams consisted of people from the Audit department. They built a predictive model capable of anticipating the risk of a Rapipago agent misappropriating funds from the organization and taking action before it happened. This model is now operational and has already saved millions of pesos.

I pause here because, to me, there's something about the future of work already happening in that scene. An Audit team ended up solving a business problem with a predictive tool. No one had included it in their job description. The knowledge and judgment were already there. What emerged was a new possibility to apply them in a field that previously seemed exclusive to another specialty.

There, I understood something about AI that I didn't expect. Its most interesting effect isn't just automating or replacing tasks: it's also expanding where we can contribute from. A person from Finance can engage in a product conversation. Someone from Audit can develop a data-driven solution.

Not because AI turns everyone into specialists in everything. AI doesn't create judgment or replace expertise yet, but it expands how far we can go with what we know. It allows our knowledge to reach problems and conversations that previously seemed outside our field.

And there arises an interesting tension: if the boundaries between disciplines become more permeable, what happens to expertise? I believe it doesn't lose value. On the contrary: depth remains necessary. What changes is that it's no longer enough to have knowledge within a specialty; we also need to combine it with other knowledge and take it to places where it can generate value.

For those of us working in Talent and Culture, this presents a different task. It's no longer enough to ask ourselves what capabilities we will need and design paths to develop them. We also need to discover what capabilities already exist in the organization, which are emerging, and what new possibilities arise when we connect them.

This means creating more opportunities for people to encounter problems, experiences, and teams that perhaps their role or the organizational chart would never have anticipated. Because development doesn't always happen linearly. It often appears when someone finds the right challenge, at the right time, alongside people with different experiences.

That's why I'm interested in thinking about the future of our field less as a sequence of roles and more as a network of capabilities: diverse, dynamic, and able to deploy talent where it can generate the most value. AI makes that network increasingly possible. Our job is to create the conditions for it to work.

Because the potential is often already there. What we need is to create the opportunities to discover it and set it in motion.

FAQs about Skills, Talent, and Artificial Intelligence

1. What is a skills-based organization?

It's an organization that looks beyond formal roles and seeks to understand what capabilities exist, how they connect, and where they can generate more value.

2. How is AI changing talent management?

AI expands the possibilities for people to contribute and challenges organizations to discover existing and emerging capabilities.

3. How can a company identify skills that exist outside formal roles?

By creating spaces where people can face new problems, work with other teams, and leverage capabilities that their usual role doesn't showcase.

4. Does artificial intelligence reduce the importance of specialization?

No. Specialization remains crucial. AI expands how far we can go with what we know and facilitates combining it with other knowledge.