Automation index
How much of a Piling operator’s job can AI already do?
A pile plan comes earlier. Driving to level without cracking the neighbour do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Piling operator
19%
AI can already do 19% of this job.
#521 / 633
View rankingPiling 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 |
|---|---|---|---|
Set-out, level and each pile’s log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Drive, bore and refusal.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cage, pour and the tube that rides up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Vibration, the neighbour and stopping in time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Plant, access and the one that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
To level, and not cracking party walls.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
- drive piles
- bore
- cages
- refusal level
- site vibration
- pour piles
- piling set-out
- recoverable tubes
Sources for this job· O*NET 47-2073.00· ESCO/ISCO 7114
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