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.
#530 / 643
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?
Statistician
26%
#206 / 643
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