Automation index

How much of a Ticket inspector’s job can AI already do?

A validator comes earlier. Walking the train and dealing with no ticket do not.

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

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#378 / 633

Ticket inspector

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
Validate, fares and the intervention note. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Aisle, the group and the one who hides. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
Fines, data and what you can ask. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Incident, the full train and calling the conductor. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The insult, keeping calm and not making a scene. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Charge fairly, and not skipping a coach. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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

IS WORK OVER?

23%

#301 / 633

Home-automation installer

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
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
Total	100%		23%

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