Automation index
How much of a Recycling-plant operator’s job can AI already do?
An optical sorter comes earlier. Actually sorting without mixing the bale do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Recycling-plant operator
19%
AI can already do 19% of this job.
#522 / 633
View rankingRecycling-plant 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 |
|---|---|---|---|
Line, optical and the bale.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Cabin, the one that sneaks in and the glass.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Jam, the belt and stopping.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Quality, the reject and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The peak, the lorry and not mixing.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Sort for real, and a clean bale.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
- recycling line
- bales
- sort cabin
- belts
- rejects
- glass
- optical sorters
- jams
Sources for this job· O*NET 51-9199.00· ESCO/ISCO 3132
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