This is what Chat GPT thinks...
"These are insightful and complex questions, especially in the context of how football clubs like Sheffield United are increasingly integrating AI into decision-making. Let's break each part down with a balanced view:
1. How much say should the new manager have?
The manager must have
significant say, especially regarding
tactics, dressing room dynamics, and player morale. While AI can provide data-driven insights, it cannot replace
firsthand player management or leadership.
However, the club likely wants to avoid returning to a scenario where a manager completely disregards the AI system. So the best model is
collaborative:
- The manager should be required to engage with the data,
- But not dictated by it.
For instance, he might need to justify decisions that diverge sharply from model recommendations, rather than have his autonomy overridden.
2. Should management be forced to pick Jefferson Cacares for the under-21s if AI recommends it?
No—forced selection undermines coaching accountability.
However, AI suggesting Cacares should play might be used to prompt conversations within the development staff, such as:
Why is the model rating him so highly?
Are there training or off-field issues coaches are seeing that the model isn’t?
Ultimately, development squads are about nurturing potential, so it’s reasonable to expect more AI experimentation here—but it should inform, not dictate.
3. How much should AI influence first-team selection?
AI should inform first-team selection, not control it.
It can be extremely useful for:
Fatigue prediction
Injury risk
Tactical matchup analysis
Tracking off-ball performance
But football is a high-context sport. A manager might choose an “in-form” player over one the model rates more highly for intangible reasons: dressing room harmony, pressing intensity, or even a specific psychological edge.
So: AI should be part of the process, not the arbiter.
4. Should AI be used to justify much larger fees for players than the manager would himself sanction?
Here, it gets trickier. Clubs need to balance:
Long-term squad value (where AI models often excel),
Against the short-term competitive goals the manager is responsible for.
If a manager wants to spend £5m on a player but the AI says another at £10m has far greater resale and performance upside, it becomes a board-level decision—not just the manager's call."