IS WORK OVER?

Automation index

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

A site checklist comes earlier. Stopping the job and issuing the penalty do not.

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

Task comparison

Labour inspector

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 visits, complaints and the firm’s history.
Estimate

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

16%40%+6.4
Site or workplace, stop unsafe work and take statements.
Estimate

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

22%12%+2.6
Minutes, orders and the penalty proposal.
Estimate

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

16%32%+5.1
Contracts, hours and the bogus self-employed.
Estimate

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

16%28%+4.5
Union, employer and what is argued in the corridor.
Estimate

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

16%18%+2.9
A penalty that holds, and not looking away.
Estimate

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

14%12%+1.7
Total100%23%

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

Skills and activities

  • visit sites
  • stop unsafe work
  • infringement minutes
  • bogus self-employment
  • check contracts
  • labour orders
  • fine firms
  • take statements

Sources for this job· O*NET 13-1041.00· ESCO/ISCO 3352

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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