IS WORK OVER?

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

Recycling-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.

TaskShareAIPoints
Line, optical and the bale.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Cabin, the one that sneaks in and the glass.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Jam, the belt and stopping.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Quality, the reject and not hiding it.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The peak, the lorry and not mixing.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Sort for real, and a clean bale.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%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

Last-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.

TaskShareAIPoints
Zones, capacity and route cuts.
Estimate

No public source provides a precise figure. This is our estimate.

16%44%+7
KPIs, first attempt and incidents.
Estimate

No 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.
Estimate

No public source provides a precise figure. This is our estimate.

18%16%+2.9
Peaks, rain and hiring too many or too few.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The angry customer and not dressing delivered.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cover the peak, and not leaving the neighbourhood orphaned.
Estimate

No public source provides a precise figure. This is our estimate.

16%14%+2.2
Total100%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

Analyse my job

Jobs with similar scores

  1. 529Wastewater-plant operator19%
  2. 530Concrete finisher19%
  3. 531Piling operator19%
  4. 533Organ builder19%
  5. 534Palaeontologist19%
  6. 535Yacht skipper19%