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?
Prompt engineer
34%
#21 / 623
View rankingPrompt engineer
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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512