IS WORK OVER?

Automation index

How much of a Demolition worker’s job can AI already do?

A demolition plan comes earlier. Bringing it down without taking the party wall or anyone do not.

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

Task comparison

Demolition worker

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.

TaskShareAIPoints
Plan, asbestos and prior removal.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Demolish, cut and the controlled push.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Party wall, shore and the neighbour who complains.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Waste, sorting and the tip.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Dust, water and not leaving the street a site.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
Not taking the party wall, and signing the takedown.
Estimate

No public source provides a precise figure. This is our estimate.

14%10%+1.4
Total100%19%

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

Skills and activities

  • demolish
  • remove asbestos
  • shore party walls
  • sort waste
  • controlled cut
  • demolition dust
  • the tip
  • controlled push

Sources for this job· O*NET 47-2061.00· ESCO/ISCO 7112

Station master

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.

TaskShareAIPoints
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
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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