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 / 633
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?
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