Automation index
How much of a Concrete finisher’s job can AI already do?
A joint set-out comes earlier. Finishing on time so the slab does not crack open do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Concrete finisher
19%
AI can already do 19% of this job.
#520 / 633
View rankingConcrete finisher
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, joints and thickness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Pour, vibrate and float.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Screed, power float and the right moment.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Cure, polythene and the windy day.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The late mixer and the one who wants water.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
That it does not crack open, and not adding extra water.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
- pour concrete
- vibrate
- float
- shrinkage joints
- power float
- cure
- screed
- slab thickness
Sources for this job· O*NET 47-2051.00· 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