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 / 633
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?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512