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.
#532 / 643
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?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324