Automation index
How much of a Structural engineer’s job can AI already do?
A frame model comes earlier. Signing that it takes wind and quake do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Structural engineer
26%
AI can already do 26% of this job.
#204 / 623
View rankingStructural 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 |
|---|---|---|---|
Model, combinations and the calculation annex.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Site, rebar and what was not poured that way.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Code, building regs and the sizing note.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Pathology, the crack and shore or not.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The architect, the deadline and not trimming the depth.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Sign that it stands, and not hiding the assumption.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- calculate structures
- frame model
- calculation annex
- building regs
- rebar
- structural pathology
- load combinations
- shore
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142
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