When Execution Becomes Cheap, Judgment Becomes Valuable
This week I attended the Chief Product Officer Summit in San Francisco.
I joined from a CIO perspective, curious about how AI is changing the boundaries between technology, product and business leadership.
After a day of conversations about AI-first teams, agents and new product operating models, one idea stayed with me:
AI is making execution cheaper. That makes judgment more valuable.
From velocity to direction
AI allows us to prototype, build and analyze with much less effort.
But when execution becomes easier, the bottleneck moves.
What should we build? Why? And how will we know if it creates value?
One discussion captured this as the difference between velocity and vector.
Moving faster only helps if we are moving in the right direction.
As execution becomes cheaper, leadership becomes less about increasing output and more about providing direction: making the “why” clear, choosing the right vector and keeping teams aligned around outcomes.
The view from Barcelona
During my roundtable, I shared a different perspective.
In San Francisco, the conversation is already about AI-first organizations and autonomous agents.
In Barcelona, especially in traditional industries, many companies are still working through data governance, regulation, integration and cultural adoption.
In Europe, part of our AI journey starts with another question:
Are we ready to use AI responsibly?
The EU AI Act is now part of that conversation. Before discussing everything AI can do, organizations also need to understand how it is being used, what data it touches and who remains accountable.
That doesn’t mean the transformation isn’t coming.
It means leaders need to understand both where technology is going and when their organization is ready to move.
Leadership is not about adopting everything first.
Sometimes it is about knowing when to accelerate.
What changes for the CIO
This also changes the role of technology leadership.
We are not only responsible for providing systems, platforms and capacity. We increasingly have to help the business decide where that capacity should go.
As AI lowers the cost of execution, teams and partners will be able to produce more, faster.
The risk is simply creating more activity.
More prototypes. More agents. More automation. More initiatives.
Without clear direction, more execution does not necessarily mean more value.
So one commitment I am taking back home is simple:
Spend less time explaining what we are building and more time explaining why we are building it and where we are going.
My job is not only to help the organization move faster.
It is to make sure that speed points in the right direction.
Curiosity and judgment
Our roundtable eventually reached a bigger question.
If AI makes knowledge, analysis and execution increasingly accessible, what will differentiate great professionals?
Two words emerged:
Curiosity and judgment.
Curiosity pushes us to explore.
Judgment helps us decide what matters.
But judgment does not come from information alone.
It comes from experience: making decisions, getting things wrong, seeing consequences, learning and trying again.
And that creates a paradox.
If AI removes many of the junior tasks through which people traditionally gained experience, how will the next generation develop judgment?
I do not think we have the answer yet.
But I suspect this will become one of the defining leadership questions of the next few years.
AI may make execution easier.
What it cannot automatically give us is the experience required to understand what deserves to be executed in the first place.
And that is why, as execution becomes cheap, judgment becomes valuable.
