Automation index
How much of a BIM modeller’s job can AI already do?
A model and a clash come earlier. The site being able to build from that model do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
BIM modeller
28%
AI can already do 28% of this job.
#109 / 633
View rankingBIM modeller
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, families and clash detection.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
IFC, BEP and trade coordination.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Site, the one who will not open the model, and the meeting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Quantities, parameters and the 4D nobody uses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The last-minute change and not breaking the federated model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it can be built, and not over-modelling.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- BIM modelling
- clash detection
- Revit families
- IFC
- BEP
- coordinate trades
- BIM quantities
- federated model
Sources for this job· O*NET 17-3011.00· ESCO/ISCO 3118
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