Automation index

How much of a Optician’s job can AI already do?

An auto-refraction and a prescription pad come earlier. Looking at the eye, selling without pushing, and catching glaucoma do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

21%

AI can already do 21% of this job.

#431 / 633

Optician

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
File, history and prescription. Estimate No public source provides a precise figure. This is our estimate.	18%	40%	+7.2
Lens orders, stock and appointments. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Eye exam, retinal image and fitting. Estimate No public source provides a precise figure. This is our estimate.	20%	12%	+2.4
Frame fit and workshop. Estimate No public source provides a precise figure. This is our estimate.	16%	10%	+1.6
Advise without pushing and explain pathology. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Refer to ophthalmology and follow-up. Estimate No public source provides a precise figure. This is our estimate.	14%	16%	+2.2
Total	100%		21%

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

IS WORK OVER?

31%

#33 / 633

Information specialist

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
Classify, index and describe holdings. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Thesauri, metadata and the internal search. Estimate No public source provides a precise figure. This is our estimate.	16%	52%	+8.3
Answer queries and retrieve what nobody can find. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Records policy, retention and destruction. Estimate No public source provides a precise figure. This is our estimate.	18%	22%	+4
Train people who file badly and people who do not file. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
The organisation’s memory, and not losing it. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		30%

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