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.
#397 / 643
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?
Statistician
26%
#206 / 643
View rankingStatistician
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, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.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
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120