IS WORK OVER?

Automation index

How much of a Gas fitter’s job can AI already do?

A schematic and a certificate come earlier. No smell of gas when you close up does not.

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

Task comparison

Gas fitter

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
Schematics, materials and certificates.
Estimate

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

16%32%+5.1
Run, thread and pressure-test.
Estimate

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

22%10%+2.2
Appliances, flues and ventilation.
Estimate

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

16%14%+2.2
Client, utility and legalisation.
Estimate

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

16%22%+3.5
Faults, leaks and call-outs.
Estimate

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

16%18%+2.9
Not leaving a home with a leak.
Estimate

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

14%14%+2
Total100%18%

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

Skills and activities

  • Schematics, materials and certificates
  • Run, thread and pressure-test
  • Appliances, flues and ventilation
  • Client, utility and legalisation
  • Faults, leaks and call-outs
  • Not leaving a home with a leak
  • instalador de gas
  • gas fitter

Sources for this job· O*NET 47-2152.00· ESCO/ISCO 7126

Logistics analyst

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
Costs, OTIF and the dashboard.
Estimate

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

18%52%+9.4
Simulate network, warehouses and the what-if.
Estimate

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

16%40%+6.4
Ops, dirty data and going down to the dock.
Estimate

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

16%22%+3.5
Report, the board and the cut that hurts.
Estimate

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

16%28%+4.5
The haulier, the contract and not breaking the service.
Estimate

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

18%14%+2.5
A real saving, and not dressing OTIF.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • logistics costs
  • OTIF
  • simulate network
  • what-if
  • dirty data
  • haulage contracts
  • dashboards
  • network cuts

Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421

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