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

IS WORK OVER?

24%

AI can already do 24% of this job.

#275 / 633

CNC machinist

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.

Task	Share	AI	Points
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
Total	100%		24%

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

IS WORK OVER?

28%

#109 / 633

BIM modeller

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.

Task	Share	AI	Points
Model, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		28%

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