Automation index
How much of a Tennis coach’s job can AI already do?
A stroke pattern comes earlier. Getting them on court without wrecking the shoulder do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Tennis coach
19%
AI can already do 19% of this job.
#495 / 633
View rankingTennis 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 |
|---|---|---|---|
Pattern, rally and the plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Court, the one who hides and the one who overhits.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Competition, the needle and the one who throws the racquet.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Shoulder, load and not rushing the event.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Parents, the ranking and not burning the child.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
On court, and the shoulder whole.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- rally
- stroke patterns
- court
- shoulder
- ranking
- racquet
- parents
- training load
Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422
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