Automation index
How much of a Rebar worker’s job can AI already do?
A cutting list and an order come earlier. Tying a slab that holds does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Rebar worker
17%
AI can already do 17% of this job.
#590 / 633
View rankingRebar worker
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 |
|---|---|---|---|
Cutting list, diameters and steel order.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 30% | +4.8 |
Cut, bend and tie rebar.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 8% | +1.9 |
Slabs, columns and starter bars.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
Site, crane and safety.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Logs, kilos and extras.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 22% | +3.1 |
Not leaving cover too short.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 17% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Cutting list, diameters and steel order
- Cut, bend and tie rebar
- Slabs, columns and starter bars
- Site, crane and safety
- Logs, kilos and extras
- Not leaving cover too short
- ferrallista
- armador de hierro
- rebar
Sources for this job· O*NET 47-2171.00· ESCO/ISCO 7214
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.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
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514