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
IS WORK OVER?
Lathe operator
26%
AI can already do 26% of this job.
#214 / 623
View rankingLathe 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.
| Task | Share | AI | Points |
|---|---|---|---|
Read the drawing, tolerances and the route card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Set up, clamp, pick the tool and the origin.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Turn, face, thread and finish the part.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 28% | +5 |
Measure, tweak offsets and not scrap the batch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Lathe care, swarf and safety.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Grades, times and liability for the dimension.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
- 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
IS WORK OVER?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo 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
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514