Orthotists and Prosthetists

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
Maintain patients' records.

O*NET Task ID 9387

1.0
Update skills and knowledge by attending conferences and seminars.

O*NET Task ID 9394

1.0
Publish research findings or present them at conferences and seminars.

O*NET Task ID 9397

1.0
Design orthopedic and prosthetic devices, based on physicians' prescriptions and examination and measurement of patients.

O*NET Task ID 9386

0.5
Confer with physicians to formulate specifications and prescriptions for orthopedic or prosthetic devices.

O*NET Task ID 9390

0.5
Research new ways to construct and use orthopedic and prosthetic devices.

O*NET Task ID 9396

0.5
Examine, interview, and measure patients to determine their appliance needs and to identify factors that could affect appliance fit.

O*NET Task ID 9383

0.0
Fit, test, and evaluate devices on patients, and make adjustments for proper fit, function, and comfort.

O*NET Task ID 9384

0.0
Instruct patients in the use and care of orthoses and prostheses.

O*NET Task ID 9385

0.0
Make and modify plaster casts of areas to be fitted with prostheses or orthoses to guide the device construction process.

O*NET Task ID 9388

0.0
Select materials and components to be used, based on device design.

O*NET Task ID 9389

0.0
Repair, rebuild, and modify prosthetic and orthopedic appliances.

O*NET Task ID 9391

0.0
Construct and fabricate appliances, or supervise others constructing the appliances.

O*NET Task ID 9392

0.0
Train and supervise support staff, such as orthopedic and prosthetic assistants and technicians.

O*NET Task ID 9393

0.0
Show and explain orthopedic and prosthetic appliances to healthcare workers.

O*NET Task ID 9395

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