Automation index
How much of a Sporting director’s job can AI already do?
A squad map comes earlier. Signing without breaking the dressing room do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Sporting director
27%
AI can already do 27% of this job.
#149 / 623
View rankingSporting director
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 |
|---|---|---|---|
Squad, wages and financial fair play.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Signings, scouting and the one who does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Coach, the project and the one who burns.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Board, the fans and not selling smoke.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The injury, the window and not papering over.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Sign well, and not breaking the dressing room.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- squad
- signings
- fair play
- scouting
- wages
- the project
- dressing room
- the window
Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422
IS WORK OVER?
Data architect
28%
#83 / 623
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.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
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511