Orthotics Technicians

Healthcare

AI exposure

  • Data source: BLSPublished: 2026-08

    Low· relative

    LowFour relative bandsVery high

    Group-level value

    Scale, basis and source

    Four relative bands (Low / Moderate / High / Very high)

    831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.000

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.18

    0.09Range of values carried here0.70

    Group-level value

    Scale, basis and source

    Generative AI exposure index, 0–1 as published

    ISCO-08 unit group — every occupation sharing the code gets this value

    Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 90% score at or above this value.

    Source dataset

What kind of figure this source publishes

The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.

Task-level exposure

Exposed tasks only

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

TaskβE1 + 0.5 × E2
Read prescriptions or specifications to determine the type of product or device to be fabricated and the materials and tools required.

O*NET Task ID 10514

1.0
Take patients' body or limb measurements for use in device construction.

O*NET Task ID 10517

0.5
Construct or receive casts or impressions of patients' torsos or limbs for use as cutting and fabrication patterns.

O*NET Task ID 10518

0.5
Fit appliances onto patients, and make any necessary adjustments.

O*NET Task ID 10512

0.0
Make orthotic or prosthetic devices, using materials such as thermoplastic and thermosetting materials, metal alloys and leather, and hand or power tools.

O*NET Task ID 10513

0.0
Repair, modify, or maintain medical supportive devices, such as artificial limbs, braces, or surgical supports, according to specifications.

O*NET Task ID 10515

0.0
Instruct patients in use of prosthetic or orthotic devices.

O*NET Task ID 10516

0.0
Bend, form, and shape fabric or material to conform to prescribed contours of structural components.

O*NET Task ID 10519

0.0
Drill and tap holes for rivets, and glue, weld, bolt, or rivet parts together to form prosthetic or orthotic devices.

O*NET Task ID 10520

0.0
Lay out and mark dimensions of parts, using templates and precision measuring instruments.

O*NET Task ID 10521

0.0
Test medical supportive devices for proper alignment, movement, or biomechanical stability, using meters and alignment fixtures.

O*NET Task ID 10522

0.0
Cover or pad metal or plastic structures or devices, using coverings such as rubber, leather, felt, plastic, or fiberglass.

O*NET Task ID 10523

0.0
Polish artificial limbs, braces, or supports, using grinding and buffing wheels.

O*NET Task ID 10524

0.0
Service or repair machinery used in the fabrication of appliances.

O*NET Task ID 10525

0.0
Mix pigments to match patients' skin coloring, according to formulas, and apply mixtures to orthotic or prosthetic devices.

O*NET Task ID 10526

0.0

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information