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?

28%

#109 / 633

BIM modeller

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
Model, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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