Automation index
How much of a Geological engineer’s job can AI already do?
A borehole and a 3D model come earlier. Calling whether you can found there do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Geological engineer
25%
AI can already do 25% of this job.
#238 / 623
View rankingGeological engineer
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 |
|---|---|---|---|
Boreholes, lab and the geotech profile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Field, outcrop and what the map misses.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Foundations, slopes and the risk report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Tunnel, water and the support.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The works that move, and stop or go.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Call the ground, and sign the report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- boreholes
- geotech profile
- foundations
- slopes
- tunnel support
- outcrops
- geological risk
- ground reports
Sources for this job· O*NET 17-2151.00· ESCO/ISCO 2146
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