Automation index
How much of a Well driller’s job can AI already do?
A progress log comes earlier. Clean water without collapsing the well do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Well driller
19%
AI can already do 19% of this job.
#534 / 633
View rankingWell driller
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 |
|---|---|---|---|
Location, permit and the progress log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drill, case and the collapse.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Mud, samples and the geological log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Yield test, pump and the water analysis.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The owner, the neighbour and the well that will not yield.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Clean water, and not leaving a blind well.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- drill wells
- case
- yield test
- drilling mud
- geological log
- samples
- well pumps
- drilling permits
Sources for this job· O*NET 47-5023.00· ESCO/ISCO 8113
IS WORK OVER?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512