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.
#621 / 633
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?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.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
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514