Automation index
How much of a Excavator operator’s job can AI already do?
A GPS set-out comes earlier. Not breaking the pipe that is not on the drawing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Excavator operator
18%
AI can already do 18% of this job.
#574 / 633
View rankingExcavator operator
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 |
|---|---|---|---|
Set-out, levels and the machine log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Dig, load and the batter that comes in.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 6% | +1.4 |
Services, the blind pipe and stopping in time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Maintenance, grease and the pin that snaps.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The labourer, the lorry and covering nobody.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
Not breaking what is buried, and leaving a clean formation.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- dig with excavator
- load lorries
- batters
- buried services
- set-out levels
- grease the machine
- formation
- site GPS
Sources for this job· O*NET 47-2073.00· ESCO/ISCO 8342
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