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 / 633
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?
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