Dental Hygienists

Healthcare

AI exposure

  • Data source: BLSPublished: '26.08

    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: '26.03

    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: '25

    0.16

    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
Attend continuing education courses to maintain or update skills.

O*NET Task ID 23921

1.0
Chart conditions of decay and disease for diagnosis and treatment by dentist.

O*NET Task ID 418

0.5
Expose and develop x-ray film.

O*NET Task ID 422

0.5
Record and review patient medical histories.

O*NET Task ID 18536

0.5
Maintain patient recall system.

O*NET Task ID 18539

0.5
Clean calcareous deposits, accretions, and stains from teeth and beneath margins of gums, using dental instruments.

O*NET Task ID 416

0.0
Feel and visually examine gums for sores and signs of disease.

O*NET Task ID 417

0.0
Feel lymph nodes under patient's chin to detect swelling or tenderness that could indicate presence of oral cancer.

O*NET Task ID 419

0.0
Apply fluorides or other cavity preventing agents to arrest dental decay.

O*NET Task ID 420

0.0
Examine gums, using probes, to locate periodontal recessed gums and signs of gum disease.

O*NET Task ID 421

0.0
Remove excess cement from coronal surfaces of teeth.

O*NET Task ID 424

0.0
Make impressions for study casts.

O*NET Task ID 425

0.0
Administer local anesthetic agents.

O*NET Task ID 427

0.0
Conduct dental health clinics for community groups to augment services of dentist.

O*NET Task ID 428

0.0
Remove sutures and dressings.

O*NET Task ID 429

0.0
Place and remove rubber dams, matrices, and temporary restorations.

O*NET Task ID 430

0.0
Provide clinical services or health education to improve and maintain the oral health of patients or the general public.

O*NET Task ID 18537

0.0
Maintain dental equipment and sharpen and sterilize dental instruments.

O*NET Task ID 18538

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

Recent Changes Affecting This Occupation

Mar 2026: Published evergreen blog post analyzing AI impact on Dental Hygienists. Automation risk 10%, AI exposure 22%, BLS projects 7% growth through 2034.

[Source: AI Changing Work Blog]

Mar 2026: Updated blog: 26% exposure (up from 22%), added advanced practice section.

[Source: ACW Blog]