Automation index
How much of a Professional athlete’s job can AI already do?
A load plan and a video analysis come earlier. Competing, getting hurt, and coming back do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Professional athlete
15%
AI can already do 15% of this job.
#751 / 763
View rankingProfessional athlete
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 |
|---|---|---|---|
Load plans, nutrition and video analysis.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 35% | +5.6 |
Social, contracts and travel diary.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 28% | +3.9 |
Train and compete the craft.EstimateNo public source provides a precise figure. This is our estimate. | 26% | 4% | +1 |
Physio, sleep and prevention.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 8% | +1.3 |
Wear the shirt, press and the dressing room.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
Manage an injury and the end of a career.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 15% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Load plans, nutrition and video analysis
- Social, contracts and travel diary
- Train and compete the craft
- Physio, sleep and prevention
- Manage an injury and the end of a career
- deportista
- atleta profesional
- futbolista
- professional athlete
Sources for this job· O*NET 27-2021.00· ESCO/ISCO 3421
IS WORK OVER?
Geomatics engineer
22%
#412 / 763
View rankingGeomatics 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 |
|---|---|---|---|
Station, the base and the cloud.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Field, the axis and the one that moved.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Model, the drift and not hiding metres.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Works, the setting-out and going down to see it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The contractor, the rush and not signing the drift.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That the axis is there, and not signing metres.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
- point clouds
- total stations
- axes
- setting-out
- drift
- bases
- geomatics
- the field
Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165