Automation index
How much of a Diving instructor’s job can AI already do?
A dive briefing comes earlier. Coming up whole without forgetting to breathe do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Diving instructor
19%
AI can already do 19% of this job.
#503 / 633
View rankingDiving instructor
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 |
|---|---|---|---|
Briefing, tables and the plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Water, the student and the one who panics.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Drills, the regulator and the one who is out of air.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Log, certification and not giving the star away.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The current, the vis and aborting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Come up whole, and not skipping the stop.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
- dive briefing
- tables
- regulator
- certify divers
- current
- visibility
- stops
- nervous students
Sources for this job· O*NET 25-3021.00· 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