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
IS WORK OVER?
Lift technician
20%
AI can already do 20% of this job.
#477 / 643
View rankingLift 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.
| Task | Share | AI | Points |
|---|---|---|---|
Diagnosis, codes and the lift history.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Shaft, pit and the cabin rescue.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Service, tensioning and the industry report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Modernise, doors and the limit switch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The residents, the porter and the night fault.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Get the person out, and sign the service.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 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
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-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.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 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