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.

#388 / 633

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?

46%

#3 / 633

UX designer

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
Flows and wireframes Estimate No public source provides a precise figure. This is our estimate.	35%	70%	+24.5
Tests and synthesis Estimate No public source provides a precise figure. This is our estimate.	25%	50%	+12.5
System and judgment Estimate No public source provides a precise figure. This is our estimate.	25%	25%	+6.3
Team workshops Estimate No public source provides a precise figure. This is our estimate.	15%	15%	+2.3
Total	100%		46%

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