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?
CNC machinist
24%
AI can already do 24% of this job.
#275 / 633
View rankingCNC 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.
| Task | Share | AI | Points |
|---|---|---|---|
Program, simulate and document the cycle.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 45% | +9 |
Work orders, paper metrology and batches.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Set up, set zeros and start.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 14% | +2.8 |
Measure, adjust and not break a tool.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Maintenance, swarf and safety.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Talk to engineering when the drawing lies.EstimateNo 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
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
IS WORK OVER?
Last-mile manager
26%
#211 / 633
View rankingLast-mile manager
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.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324