Leading with Impact: Talent in the Age of AI

For years, advancing in a company was like climbing a ladder: first, you did the operational work, then you supervised it, and eventually, you led. By compiling reports, tracking progress, and coordinating teams, you would understand the business almost without realizing it. That path still exists and holds value. But artificial intelligence is adding another path, and I believe it's very good news for talent.

Today, with AI, we reach a level of detail and depth in information that didn't exist before. What used to take days to compile is now available in minutes. This changes a key question: if there's no longer a need to gather information or produce reports, what makes someone valuable within a team?

The answer is impact. Someone who wants to lead no longer needs to wait to have a team under their charge or climb the ranks. They can take a real business problem, solve it with AI, and take responsibility for the outcome. This teaches true management because it forces prioritization, presenting solutions to others, and being accountable for decisions made.

At Calm, we see this every day. We set out to be an AI-first company and formed an internal squad of builders where people from different areas and levels lead projects that change how we work. Some of the most impactful projects didn't come from those with the most experience but from those who saw a problem and decided to solve it.

This also changed what we look for when adding someone to the team. We focus less on mastery of a tool, which can become obsolete in six months, and more on critical thinking, the ability to make decisions with abundant information, and the curiosity to experiment. We seek people who, when faced with a problem, don't ask whose it is, but how they can solve it.

It's not a change that happens on its own. We are in a transitional phase: building tools and learning to use them takes time, and not everyone starts from the same place. That's why the role of companies is crucial. If we ask people to make more decisions, we must train them for it, measure them by impact rather than activity, and give them real space to act.

AI doesn't replace judgment; it puts it at the center. And it gives every person who wants to grow an opportunity they didn't have before: to demonstrate what they can generate, without waiting for the organizational chart to allow it.