The Decision Paradox.

“The algorithm decided—it’s not my fault”: when a purchase is dictated by data, the person making it has a ready-made alibi.

Data can become an important partner for a leader who is often left to make decisions alone.

The weight of the decision: 40% based on data, 60% based on experience and intuition.

"Data is impersonal: it can tell you what's happening, but it doesn't always tell you why."

"If we were to train and live solely on data, we would become robots."

"I can make the best decision to get past an opponent, but that doesn't necessarily mean I'll score."

When the game starts, “let the numbers speak for themselves”: in moments of intense pressure, the best decision-maker doesn’t think—he reacts.

“People often look for a scientific excuse to blame the numbers [...], but the truth was much simpler: we were just tired.”

“There are games where I completely agree with the stats, others where I agree 15–20%; over the course of a season, maybe 50%.”

"If math isn't a matter of opinion, the fastest boat should always win. But that doesn't happen, because the outcome also depends on the people."

"I'd rather have a model with a 5% margin of error that's predictive than one that's 1% accurate but unable to respond to reality."

The estimator is considered more reliable than the sensor because it does not break or drift.

"AI should serve to challenge our beliefs, not to confirm them."

"The players on the field always have the final say, because they're the ones living in the moment."

The decision to climb back up “is entirely up to the athlete: it cannot be delegated to a device.”

"The natural instinct is to move, but you have to be trained to stay still."

"What the data can't capture is what really matters: the sensations on the platform [...]".

If the technology fails, the “programmed” person can no longer act on instinct.

"The risk is standardization: if everyone uses the same models, everyone starts producing the same ideas."

"AI works like a funnel: you start with a thousand profiles and end up with twenty; then you need to conduct a qualitative analysis."

"When something is too specific, sometimes it's faster for me to just do it myself than to correct the AI."

Constant monitoring causes significant psychological stress for the athlete.

Even when we delegate the decision to a machine, responsibility does not disappear: it shifts to the design of the system and the monitoring of its outcomes.

The danger isn't that AI will make mistakes, but that everyone will rely on the same AI and stop questioning the data.

AI creates alternative simulations and indicates which is more likely and which is riskier, without specifying which is the right choice.