Automation index
How much of a Sports physician’s job can AI already do?
A cardiopulmonary test comes earlier. Clearing the return to play and not losing the season do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Sports physician
23%
AI can already do 23% of this job.
#305 / 623
View rankingSports physician
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 |
|---|---|---|---|
CPET, labs and load.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Injury, exam and the yes or no to training.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Rehab, injections and the club note.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Anti-doping, certificates and the yearly check.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The bench, the match and the twisted ankle.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Club pressure and signing return to play.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- CPET
- rehab injuries
- return to play
- inject athletes
- anti-doping
- fitness certificate
- training load
- sports medicine
Sources for this job· O*NET 29-1229.00· ESCO/ISCO 2212
IS WORK OVER?
Mobile developer
28%
#92 / 623
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