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

Agile coach

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
Boards, metrics and the cadence design.
Estimate

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

16%40%+6.4
The real retro and the elephant in the room.
Estimate

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

18%14%+2.5
Train, unblock and the manager who will not let go.
Estimate

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

16%32%+5.1
Scale, dependencies and fake agile.
Estimate

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

16%28%+4.5
Conflict, power and not selling extra frameworks.
Estimate

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

18%18%+3.2
That they stop faking it, and not inflating velocity.
Estimate

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

16%14%+2.2
Total100%24%

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

Skills and activities

  • retros
  • agile cadence
  • unblock teams
  • flow metrics
  • fake agile
  • agile training
  • dependencies
  • velocity

Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421

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