IS WORK OVER?

Automation index

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

A fault code comes earlier. Going into the shaft and getting the person out do not.

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

Task comparison

Lift 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
Diagnosis, codes and the lift history.
Estimate

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

16%36%+5.8
Shaft, pit and the cabin rescue.
Estimate

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

22%8%+1.8
Service, tensioning and the industry report.
Estimate

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

16%28%+4.5
Modernise, doors and the limit switch.
Estimate

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

16%22%+3.5
The residents, the porter and the night fault.
Estimate

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

16%18%+2.9
Get the person out, and sign the service.
Estimate

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

14%10%+1.4
Total100%20%

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

Skills and activities

  • cabin rescue
  • service lifts
  • tension cables
  • fault codes
  • shaft pit
  • cabin doors
  • industry report
  • modernise lifts

Sources for this job· O*NET 47-4021.00· ESCO/ISCO 7412

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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