Automation index

How much of a Station master’s job can AI already do?

A train graph comes earlier. Leaving on time without meeting on the same line do not.

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

Task comparison

IS WORK OVER?

23%

AI can already do 23% of this job.

#302 / 633

Station master

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
Graph, orders and the station log. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Platforms, the crossing and the late train. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Staff, shifts and the ticket-office gap. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Incident, passengers and the PA. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Works, closures and leaving nobody on the platform. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they do not meet, and signing the graph. 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

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