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

University tutor

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
Form, the file and the one who does not come.
Estimate

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

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

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

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

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

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

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

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

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

18%14%+2.5
That they ask for help, and not dropping out.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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