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 / 623
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?
Development cooperation officer
26%
#212 / 623
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635