Speech-Language Pathology Assistants

O*NET-SOC code: 31-9099.01

Assist speech-language pathologists in the assessment and treatment of speech, language, voice, and fluency disorders. Implement speech and language programs or activities as planned and directed by speech-language pathologists. Monitor the use of alternative communication devices and systems.

Data source: BLSPublished: 2026-08
Moderate· 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
Group-level value
Scale, basis and source
Observed exposure index, 0–1 as published
Mapped onto O*NET tasks
Published per SOC 2018 occupation; every O*NET occupation with the same SOC 2018 code carries this value
Source dataset (CSV download)
Data source: ILOPublished: 2025
0.15–0.30· 2 ISCO-08 groups
Scale, basis and source
Generative AI exposure index, 0–1 as published
Published per ISCO-08 unit group. Linked to this occupation, wholly or in part, by applying U.S. Bureau of Labor Statistics crosswalks (ISCO-08 to 2010 SOC, 2010 SOC to 2018 SOC) as published
Source dataset (PDF download)

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.

ILO value for each linked ISCO-08 group

ISCO-08 3259Health Associate Professionals Not Elsewhere Classified0.30
ISCO-08 5329Personal Care Workers in Health Services Not Elsewhere Classified0.15

Task-level exposure

Show 10 hidden tasks

11 rated tasks · 9 tasks with β ≥ 0.5 (81.8%)

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

Source unit: O*NET 27.2 tasks → O*NET 31.0 occupation code
All rated tasks are in the O*NET 31.0 task list.

Source: OpenAI "GPTs are GPTs" exposure rubric
Release: gh-main-0471612
License: MIT License, Copyright (c) 2024 OpenAI

Task (O*NET 20.1)	Claude.aiRaw / share %
Prepare charts, graphs, or other visual displays to communicate clients' performance information. 31-9099.01	0.0052100.0

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.

Task (O*NET 27.2)	βE1 + 0.5 × E2
Collect and compile data to document clients' performance or assess program quality. O*NET Task ID 17534	1.0
Document clients' progress toward meeting established treatment objectives. O*NET Task ID 17535	1.0
Perform support duties, such as preparing materials, keeping records, maintaining supplies, and scheduling activities. O*NET Task ID 17539	1.0
Assist speech-language pathologists in the conduct of client screenings or assessments of language, voice, fluency, articulation, or hearing. O*NET Task ID 17531	0.5
Implement treatment plans or protocols as directed by speech-language pathologists. O*NET Task ID 17532	0.5
Assist speech-language pathologists in the remediation or development of speech and language skills. O*NET Task ID 17533	0.5
Assist speech-language pathologists in the conduct of speech-language research projects. O*NET Task ID 17537	0.5
Prepare charts, graphs, or other visual displays to communicate clients' performance information. O*NET Task ID 17540	0.5
Select or prepare speech-language instructional materials. O*NET Task ID 17541	0.5

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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

All O*NET 31.0 task statements (11)

All O*NET 31.0 task statements for this occupation (English, as published; task type core or supplemental). Exposure values are not listed here; they are in the table above, next to each task statement as worded in the O*NET version each source used.

Task (O*NET 31.0)	Type
Assist speech-language pathologists in the conduct of client screenings or assessments of language, voice, fluency, articulation, or hearing.	Core
Implement treatment plans or protocols as directed by speech-language pathologists.	Core
Assist speech-language pathologists in the remediation or development of speech and language skills.	Core
Collect and compile data to document clients' performance or assess program quality.	Core
Document clients' progress toward meeting established treatment objectives.	Core
Perform support duties, such as preparing materials, keeping records, maintaining supplies, and scheduling activities.	Core
Prepare charts, graphs, or other visual displays to communicate clients' performance information.	Core
Select or prepare speech-language instructional materials.	Core
Test or maintain equipment to ensure correct performance.	Supplemental
Assist speech-language pathologists in the conduct of speech-language research projects.	Supplemental
Conduct in-service training sessions, or family and community education programs.	Supplemental

Anthropic, "What work can robots do?"2026-09

0.19/ 3· Robot exposure index

0 none3 unstructured settings

Scale, basis and source

Each physical task is graded 0–3 by the setting in which robots that have been deployed, sold or demonstrated could do it (0 none · 1 purpose-built robot settings such as a fenced machine cell or a bottling line · 2 structured facilities such as a hospital pharmacy or a container port · 3 unstructured settings such as a private home or a construction site), and the grades are averaged by share of working time

Physical tasks among this occupation's O*NET 29.3 tasks

Anthropic estimated the grades and time shares with Claude Opus 5 using web search, as of 2026.

Source dataset

The robot exposure index is a different measure from the AI exposure figures on this site and cannot be added to or compared with them. It does not measure actual adoption or cost, and 0 also covers occupations with no physical tasks.

Tier of each physical task

Robot environment tiers (E0–E3)

E0 noneDetails
Rated not doable by robots that have been deployed, sold or demonstrated, even in a purpose-built setting
E1 purpose-built robot settingsDetails
Rated doable in a setting built around the machine, such as a fenced machine cell or a bottling line
E2 structured facilitiesDetails
Rated doable in a human work facility that an institution keeps to a working standard, such as a hospital pharmacy or a container port
E3 unstructured settingsDetails
Rated doable in a setting that no institution keeps to a working standard, such as a private home or a construction site

Only tasks classified as physical are listed; other tasks have no tier in the source.

Task (O*NET 29.3)	Robot environment tier
Assist speech-language pathologists in the conduct of client screenings or assessments of language, voice, fluency, articulation, or hearing.	E0 none
Perform support duties, such as preparing materials, keeping records, maintaining supplies, and scheduling activities.	E1 purpose-built robot settings
Select or prepare speech-language instructional materials.	E1 purpose-built robot settings
Test or maintain equipment to ensure correct performance.	E1 purpose-built robot settings

Employment outlook (BLS)

Values for the whole SOC 31-9099 group (Healthcare support workers, all other), not for this O*NET occupation alone.

Employment, 2025: 114K
Projected employment, 2035: 119K
Change (2025–35): +4.8%
Median annual wage, 2025: $48,430
Typical education needed for entry: High school diploma or equivalent

lowest $30,890median wage across 825 detailed occupations, BLS EP 2025–35highest $559,030

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35 — Employment by detailed occupation, 2025 and projected 2035

Korea classification links (KSCO)

Links from the current release of the Korea Occupation Direct Crosswalk v1.1, made by AI Changing Work. Relation values are read from the O*NET-SOC occupation side.

KSCO code	KSCO title	Relation	Status
42902	치료사 보조원	This occupation is narrower	confirmed

Relation and status definitions(kr-direct v1.1)

ILO occupational description

AI Changing Work links the ISCO-08 unit groups below to this occupation by applying the U.S. Bureau of Labor Statistics crosswalks (2018 SOC to 2010 SOC, 2010 SOC to ISCO-08) as published, without case-by-case selection; each link may be whole or partial.

ISCO-08 3259Health Associate Professionals Not Elsewhere Classified
ISCO-08 5329Personal Care Workers in Health Services Not Elsewhere Classified

Sources: ILO ISCO-08 — details: Credits

ESCO occupational vocabulary

Each entry below is matched to this occupation in the published ESCO-O*NET Crosswalk (version 1, 2022). The match types are that crosswalk's; the wording is AI Changing Work's.

speech and language therapistESCO 2266.2Overlapping, not the same
Speech and language therapists focus on the aetiology, assessment, diagnosis, treatment, and prevention of communication and swallowing disorders in people of all ages in order to help them maintain, promote, improve, initiate, or recover the ability to communicate both verbally and nonverbally. They address the development of language, speech, vocal and hearing functions, and disorders and disabilities in the cranial, facial, and oral area.

Source: European Commission, DG EMPL — ESCO API 2026-08-08 (bridge v1.2.1)

License: CC BY 4.0 (EU Reuse Notice)

View original

ESCO reuse terms and the modification notice are in Credits.

France classification links (ROME)

AI Changing Work's links between this occupation and ROME 4.0 job profiles, judged with AI models. Relations are read from this occupation's side. Links marked “provisional” were adopted on the judgments of two judges from the same model family (Claude) alone, or by an operator rule applied to their judgments, so they rest on weaker evidence than confirmed links.

ROME code	ROME title (French)	Relation
J1406	Orthophoniste	Related, not a matchprovisional

Source: France Travail — Répertoire Opérationnel des Métiers et des Emplois (ROME 4.0), version 61, last updated 15 June 2026 (https://www.data.gouv.fr/datasets/repertoire-operationnel-des-metiers-et-des-emplois-rome). Licence Ouverte 2.0.

ROME codes and titles are reproduced unchanged; the links to O*NET-SOC occupations are AI Changing Work's own judgment and are not a France Travail correspondence.

(AI Changing Work link release: fr-direct v1)

Spain classification links (CNO-11)

AI Changing Work's links between this occupation and CNO-11 occupations, judged with AI models. Relations are read from this occupation's side.

CNO-11 code	CNO-11 title (Spanish)	Relation
3329	Técnicos de la sanidad no clasificados bajo otros epígrafes	This occupation is narrower
2154	Logopedas	Related, not a match

Source: Instituto Nacional de Estadística (INE), National Classification of Occupations 2011 (CNO-11, Royal Decree 1591/2010) — www.ine.es · Licensed CC BY 4.0. CNO-11 codes and Spanish titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not an INE correspondence.

(AI Changing Work link release: es-direct v1)

Germany classification links (KldB)

AI Changing Work's links between this occupation and KldB occupations, judged with AI models. Relations are read from this occupation's side.

KldB code	KldB title (German)	Relation
81733	Berufe in der Sprachtherapie - komplexe Spezialistentätigkeiten	Related, not a match

Source: © Statistik der Bundesagentur für Arbeit — Klassifikation der Berufe 2010 – überarbeitete Fassung 2020, https://statistik.arbeitsagentur.de. KldB codes and titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own mapping (eigene Zuordnung) and are not a Bundesagentur für Arbeit correspondence.

(AI Changing Work link release: de-direct v1)

Japan classification links (JSCO)

AI Changing Work's links between this occupation and JSCO occupations, judged with AI models. Relations are read from this occupation's side.

JSCO code	JSCO title (Japanese)	Relation
145	視能訓練士，言語聴覚士	Related, not a matchprovisional
379	その他の保健医療サービス職業従事者	Related, not a matchprovisional

Source: Ministry of Internal Affairs and Communications (MIC), Japan Standard Occupational Classification (Dec. 2009, MIC Notification No. 555). JSCO codes and Japanese titles are reproduced unchanged; the links to O*NET occupations are AI Changing Work's own judgment and are not a MIC correspondence.

(AI Changing Work link release: jp-direct v1)

Sources, licenses and AI Changing Work's modification and translation notices for this page: Credits & sources