IS WORK OVER?

Automation index

How much of a CNC machinist’s job can AI already do?

A program and a simulation come earlier. Setting zero, hearing the machine, and not breaking the part do not.

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

Task comparison

CNC machinist

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
Program, simulate and document the cycle.
Estimate

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

20%45%+9
Work orders, paper metrology and batches.
Estimate

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

16%32%+5.1
Set up, set zeros and start.
Estimate

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

20%14%+2.8
Measure, adjust and not break a tool.
Estimate

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

16%18%+2.9
Maintenance, swarf and safety.
Estimate

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

14%16%+2.2
Talk to engineering when the drawing lies.
Estimate

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

14%15%+2.1
Total100%24%

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

Skills and activities

  • Program, simulate and document the cycle
  • Work orders, paper metrology and batches
  • Set up, set zeros and start
  • Measure, adjust and not break a tool
  • Maintenance, swarf and safety
  • Talk to engineering when the drawing lies
  • cnc
  • operario cnc
  • fresador
  • tornero cnc

Sources for this job· O*NET 51-4041.00· ESCO/ISCO 7223

Data architect

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
Models, lineage and the catalogue.
Estimate

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

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

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

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

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

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

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

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

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

18%14%+2.5
That it gets used, and not letting raw data rot.
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

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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