Prosthodontists

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

    0.15

    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, 92% 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
Collaborate with general dentists, specialists, and other health professionals to develop solutions to dental and oral health concerns.

O*NET Task ID 7746

0.5
Fit prostheses to patients, making any necessary adjustments and modifications.

O*NET Task ID 7743

0.0
Design and fabricate dental prostheses, or supervise dental technicians and laboratory bench workers who construct the devices.

O*NET Task ID 7744

0.0
Measure and take impressions of patients' jaws and teeth to determine the shape and size of dental prostheses, using face bows, dental articulators, recording devices, and other materials.

O*NET Task ID 7745

0.0
Repair, reline, or rebase dentures.

O*NET Task ID 7747

0.0
Restore function and aesthetics to traumatic injury victims, or to individuals with diseases or birth defects.

O*NET Task ID 7748

0.0
Use bonding technology on the surface of the teeth to change tooth shape or to close gaps.

O*NET Task ID 7749

0.0
Treat facial pain and jaw joint problems.

O*NET Task ID 7750

0.0
Place veneers onto teeth to conceal defects.

O*NET Task ID 7751

0.0
Bleach discolored teeth to brighten and whiten them.

O*NET Task ID 7752

0.0
Replace missing teeth and associated oral structures with permanent fixtures, such as implant-supported prostheses, crowns and bridges, or removable fixtures, such as dentures.

O*NET Task ID 20246

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