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?

22%

AI can already do 22% of this job.

#431 / 693

Fibre technician

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. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Chamber, splice and the fibre that breaks. Estimate No public source provides a precise figure. This is our estimate.	18%	12%	+2.2
CTO, drop and the customer who sees no light. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pole, façade and the missing permit. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Rain, the cover and not leaving the chamber open. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they can browse, and not leaving a dirty splice. Estimate No 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

IS WORK OVER?

27%

#207 / 693

University tutor

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
Form, the file and the one who does not come. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Mark, the cut and the one who gives up. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Grant, the paper and not letting it lapse. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Health, the referral and not playing clinician. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The dean, the dropout figure and not dressing it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That they ask for help, and not dropping out. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low