Automation index
How much of a Surveyor’s job can AI already do?
A digital set-out and a drawing come earlier. Driving stakes in the wind, and the building lining up, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Surveyor
24%
AI can already do 24% of this job.
#284 / 633
View rankingSurveyor
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 |
|---|---|---|---|
Process stations, GNSS and drawings.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 45% | +9 |
Reports, volumes and deliverables.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 35% | +5.6 |
Measure in the field, stake and set out.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Coordinate with works and the site authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Read the ground when the model lies.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 16% | +2.2 |
Owning a 3 cm error.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Process stations, GNSS and drawings
- Reports, volumes and deliverables
- Measure in the field, stake and set out
- Read the ground when the model lies
- Owning a 3 cm error
- topografo
- surveyor
- aparejador topografia
Sources for this job· O*NET 17-1022.00· ESCO/ISCO 2165
IS WORK OVER?
Data architect
28%
#83 / 633
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.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
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511