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?

20%

AI can already do 20% of this job.

#468 / 633

Lift technician

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. 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
Total	100%		20%

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

IS WORK OVER?

31%

#31 / 633

Cartographer

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
Sources, OSM, satellite and generalisation. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
Symbology, type and visual hierarchy. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Projections, scales and getting the heights right. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Review with the client, the field and the lie in the data. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Print maps, web maps and updates. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Credit, metadata and owning the map. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		31%

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