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.

#397 / 643

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?

19%

#553 / 643

Occupational therapist

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
Reports, scales and intervention plans. Estimate No public source provides a precise figure. This is our estimate.	18%	35%	+6.3
Prescribe aids and adapt paperwork. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Practical session: dressing, cooking, mobility. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Home visit and the real environment. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Family, carer and clinical team. Estimate No public source provides a precise figure. This is our estimate.	14%	14%	+2
Motivation when the patient gives up. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		19%

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