IS WORK OVER?

Automation index

How much of a Waste technician’s job can AI already do?

A waste code comes earlier. The waste going where it should, not the next bin, do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Waste technician

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
Code, characterise and the paper.
Estimate

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

16%40%+6.4
Plant, the mix and the one you cannot.
Estimate

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

18%14%+2.5
Move, the haulier and the note.
Estimate

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

16%28%+4.5
Inspection, the tip and not hiding.
Estimate

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

16%22%+3.5
The producer, the saving and not diluting.
Estimate

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

18%18%+3.2
Where it should, not next door.
Estimate

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

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • waste codes
  • characterise waste
  • transfer notes
  • the tip
  • mixing
  • producers
  • waste papers
  • not dilute

Sources for this job· O*NET 19-4042.00· ESCO/ISCO 2143

Mobile 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.

TaskShareAIPoints
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

No 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.
Estimate

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

16%12%+1.9
Total100%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

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