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?
Statistician
26%
#201 / 633
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.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
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120