Automation index
How much of a Fibre technician’s job can AI already do?
An OTDR comes earlier. Splicing in the chamber so the customer can browse do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Fibre technician
22%
AI can already do 22% of this job.
#388 / 633
View rankingFibre technician
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 |
|---|---|---|---|
Route, OTDR and the splice log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Chamber, splice and the fibre that breaks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
CTO, drop and the customer who sees no light.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Pole, façade and the missing permit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Rain, the cover and not leaving the chamber open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they can browse, and not leaving a dirty splice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- splice fibre
- OTDR
- chambers
- CTO
- drops
- fibre strands
- poles
- splice logs
Sources for this job· O*NET 49-2022.00· ESCO/ISCO 7422
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