Speech-Language Pathologists

Healthcare

AI exposure

  • Data source: BLSPublished: 2026-08

    High· 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

    0.24

    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, 79% 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
Provide communication instruction to dialect speakers or students with limited English proficiency.

O*NET Task ID 1883

1.0
Write reports and maintain proper documentation of information, such as client Medicaid or billing records or caseload activities, including the initial evaluation, treatment, progress, and discharge of clients.

O*NET Task ID 18524

1.0
Participate in and write reports for meetings regarding patients' progress, such as individualized educational planning (IEP) meetings, in-service meetings, or intervention assistance team meetings.

O*NET Task ID 18526

1.0
Complete administrative responsibilities, such as coordinating paperwork, scheduling case management activities, or writing lesson plans.

O*NET Task ID 18527

1.0
Monitor patients' progress and adjust treatments accordingly.

O*NET Task ID 1867

0.5
Develop or implement treatment plans for problems such as stuttering, delayed language, swallowing disorders, or inappropriate pitch or harsh voice problems, based on own assessments and recommendations of physicians, psychologists, or social workers.

O*NET Task ID 1871

0.5
Develop speech exercise programs to reduce disabilities.

O*NET Task ID 1875

0.5
Consult with and advise educators or medical staff on speech or hearing topics, such as communication strategies or speech and language stimulation.

O*NET Task ID 1876

0.5
Design, develop, or employ alternative diagnostic or communication devices or strategies.

O*NET Task ID 1878

0.5
Conduct lessons or direct educational or therapeutic games to assist teachers dealing with speech problems.

O*NET Task ID 1879

0.5
Administer hearing or speech and language evaluations, tests, or examinations to patients to collect information on type and degree of impairments, using written or oral tests or special instruments.

O*NET Task ID 1869

0.0
Instruct clients in techniques for more effective communication, such as sign language, lip reading, or voice improvement.

O*NET Task ID 1873

0.0
Teach clients to control or strengthen tongue, jaw, face muscles, or breathing mechanisms.

O*NET Task ID 1874

0.0
Educate patients and family members about various topics, such as communication techniques or strategies to cope with or to avoid personal misunderstandings.

O*NET Task ID 18528

0.0
Supervise or collaborate with therapy team.

O*NET Task ID 18530

0.0
Supervise students or assistants.

O*NET Task ID 23952

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