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 / 633
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?
Order picker
22%
#364 / 633
View rankingOrder picker
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 |
|---|---|---|---|
List, location and the scan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Aisle, height and the parcel that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Errors, the short and calling it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Pace, the shift and the pallet that goes.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Peaks, Black Friday and not mixing orders.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Hit the SKU, and not leaving a lame pallet.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- picking
- scan locations
- shorts
- build pallets
- warehouse aisles
- order peaks
- SKUs
- voice picking
Sources for this job· O*NET 53-7062.00· ESCO/ISCO 4321