IS WORK OVER?

Automation index

How much of a Quality technician’s job can AI already do?

A statistical check and an 8D come earlier. Stopping the line and deciding if the batch ships do not.

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

Task comparison

Quality technician

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
Inspection, measurements and statistical control.
Estimate

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

18%48%+8.6
Nonconformities, 8D and corrective actions.
Estimate

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

16%40%+6.4
Stop the line, sample and decide the batch.
Estimate

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

18%18%+3.2
Internal audits, ISO and traceability.
Estimate

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

16%28%+4.5
Suppliers, incoming goods and complaints.
Estimate

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

16%22%+3.5
Release judgement and liability for the batch.
Estimate

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

16%14%+2.2
Total100%28%

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

Skills and activities

  • quality control
  • measure parts
  • release batches
  • raise nonconformities
  • run 8D
  • audit ISO
  • sample production
  • stop the line

Sources for this job· O*NET 51-9061.00· ESCO/ISCO 7543

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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