Automation index
How much of a PE teacher’s job can AI already do?
A stock session comes earlier. Getting them actually moving without getting hurt do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
PE teacher
22%
AI can already do 22% of this job.
#367 / 633
View rankingPE teacher
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 |
|---|---|---|---|
Session, aims and the kit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Yard, the group and the one who will not.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Injury, protocol and calling home.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Assess, the report and not giving a 10 for quiet.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Staff, the rain and not leaving them in the corridor.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they move, and not getting hurt.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
- PE sessions
- the yard
- injury protocol
- assess PE
- sports kit
- staff meeting
- groups
- the report
Sources for this job· O*NET 25-2031.00· ESCO/ISCO 2330
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