Automation index

How much of a Orthotic and prosthetic technician’s job can AI already do?

A scan and a CAD tweak come earlier. A prosthesis that takes the step and does not rub 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.

#396 / 633

Orthotic and prosthetic 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
Measure, scan and design the orthosis. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Thermoform, laminate and assemble parts. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Trial, align and the one who will not take the step. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Repair, grow-with-the-child and reviews. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Prescription, approval and working with rehab. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
No rubbing and owning the support. 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%

#138 / 633

Category manager

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
Assortment, prices and the shelf. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Supplier, the negotiation and the one that will not list. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Promo, the calendar and the one that clashes. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Data, margin and not killing the category. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Own-label, the clash and not hiding it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That the category wins. 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