Why More Data Has Not Made Decisions Easier

For years, leaders were told that better data would lead to better decisions.
In practice, many have experienced the opposite.

More data has not eliminated ambiguity; it has multiplied it. Competing metrics, conflicting signals, and divergent interpretations now coexist, each defensible within its own analytical frame. The challenge is no longer access to information but making sense of it.

The most consequential decisions are rarely data-poor.
They are meaning-poor.

Data can tell us what is happening and, increasingly, what is likely to happen next. It cannot tell us what matters most when objectives collide, time horizons differ, or values come into tension.

This dynamic is at the heart of A Return to Strategic Leadership: Judgment in the Age of AI. In the narrative, the same data supports multiple plausible courses of action—each analytically sound, each carrying very different consequences for accountability.

Judgment has not been displaced by data. It has been repositioned.
In the age of AI, judgment is no longer what leaders apply when information is missing. It is what they apply when data conflicts and no option is without consequence.

Analysis informs the decision. Judgment defines it.
And responsibility remains with the leader who chooses.