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?
Agile coach
24%
#257 / 633
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421