Automation index
How much of a Talent scout’s job can AI already do?
A stock report comes earlier. Seeing the player without falling for the goal do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Talent scout
27%
AI can already do 27% of this job.
#170 / 623
View rankingTalent scout
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 |
|---|---|---|---|
Match, notes and the report.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
See them live, the setting and the one who hides.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Data, GPS and not trusting the clip alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Network, agents and the one already promised.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The club, the rush and not inflating the average.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
See the player, and not falling for the goal.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
- scout reports
- see live
- player GPS
- agents
- scout network
- data
- clips
- the player’s setting
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