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

Home-automation installer

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
Diagram, buses and scene programming.
Estimate

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

16%40%+6.4
Wire, sensors and the switch that does not answer.
Estimate

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

18%14%+2.5
Integrate lights, climate and the client app.
Estimate

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

16%32%+5.1
Train, guest mode and the one who breaks it.
Estimate

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

16%22%+3.5
The lived-in house and not leaving it dark.
Estimate

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

18%18%+3.2
That it obeys, and not needing the cloud for a switch.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • program scenes
  • home buses
  • integrate climate
  • sensors
  • home app
  • switches
  • guest mode
  • wire KNX

Sources for this job· O*NET 47-2111.00· ESCO/ISCO 7411

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