Automation index
How much of a Gas fitter’s job can AI already do?
A schematic and a certificate come earlier. No smell of gas when you close up does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Gas fitter
18%
AI can already do 18% of this job.
#577 / 643
View rankingGas fitter
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 |
|---|---|---|---|
Schematics, materials and certificates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Run, thread and pressure-test.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Appliances, flues and ventilation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Client, utility and legalisation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Faults, leaks and call-outs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not leaving a home with a leak.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Schematics, materials and certificates
- Run, thread and pressure-test
- Appliances, flues and ventilation
- Client, utility and legalisation
- Faults, leaks and call-outs
- Not leaving a home with a leak
- instalador de gas
- gas fitter
Sources for this job· O*NET 47-2152.00· ESCO/ISCO 7126
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324