Automation index
How much of a Football coach’s job can AI already do?
A lineup and a clip come earlier. Going out to compete without breaking do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Football coach
22%
AI can already do 22% of this job.
#332 / 633
View rankingFootball coach
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Lineup, plan and the opponent clip.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Train, the one who is late and the one who hides.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Match, the changes and the one who boils.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Dressing room, the ego and not losing the group.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The board, the parents and not picking the son under pressure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Compete, and not breaking.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- lineups
- opponent clip
- training
- changes
- dressing room
- parents
- pick the side
- match plan
Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-mile manager
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324