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 / 623
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?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514