IS WORK OVER?

Automation index

How much of a Lathe operator’s job can AI already do?

A CNC run and a pass come earlier. Setting up, measuring and not scrapping the part do not.

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

Task comparison

Lathe operator

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
Read the drawing, tolerances and the route card.
Estimate

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

16%40%+6.4
Set up, clamp, pick the tool and the origin.
Estimate

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

18%18%+3.2
Turn, face, thread and finish the part.
Estimate

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

18%28%+5
Measure, tweak offsets and not scrap the batch.
Estimate

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

16%36%+5.8
Lathe care, swarf and safety.
Estimate

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

16%22%+3.5
Grades, times and liability for the dimension.
Estimate

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

16%14%+2.2
Total100%26%

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

Skills and activities

  • turn parts
  • set up the lathe
  • measure dimensions
  • cut threads
  • adjust offsets
  • read mechanical drawings
  • avoid scrap
  • pick tools

Sources for this job· O*NET 51-4034.00· ESCO/ISCO 7223

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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