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Speech-language pathologists

Also called SLP, Speech pathologist, Speech therapist, CCC-SLP, Speech-language therapist

In brief

In May 2025, BLS counted 183,390 US speech-language pathologists, with median pay of $97,870 a year. Of the BLS counts since 2003, the May 2025 count is the highest. The earliest figure here is an estimate of 25 from 1925, not measured the same way as today's count. The last full technology era for speech-language pathologists: App-based therapy platforms, 2007 to 2020. App-based therapy platforms did not displace SLPs; they extended SLP reach to patients with transportation, scheduling, or payer-access barriers to regular in-person sessions.

What the sources say

Official outlook

BLS projects employment to grow 16.6% from 2025 to 2035.

BLS Employment Projections 2025-35

AI exposure studies

Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. BLS publishes these counts as yearly survey snapshots and cautions against reading them as a precise trend. In May 2021 BLS changed how it estimates these counts (a model-based method using three years of survey data) and moved fully to the 2018 occupation codes, so part of a change across 2021 can come from the method rather than the work.

Last updated .

Cite this page
APA

Future History. (2026, October 11). Speech-language pathologists: jobs and pay since 1925 [Data set; data as of BLS OEWS May 2025; BLS Employment Projections 2025-35]. https://futurehistory.earth/timeline/29-1127

Chicago

Future History. "Speech-language pathologists: jobs and pay since 1925." Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35. Last modified October 11, 2026. https://futurehistory.earth/timeline/29-1127.

BibTeX

@misc{futurehistory_29_1127, author = {{Future History}}, title = {Speech-language pathologists: jobs and pay since 1925}, year = {2026}, month = oct, howpublished = {\url{https://futurehistory.earth/timeline/29-1127}}, note = {Last updated 2026-10-11. Data as of BLS OEWS May 2025; BLS Employment Projections 2025-35}, }

The access date is today's date on your device.

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187519001925195019752000now
2026
Known then as Speech correctionists / elocutionists (pre-professional era)
Known then as Speech correction specialists / speech clinicians (early professional association era)
Known then as Speech correctionists (American Speech Correction Association era)
Known then as Speech pathologists / Speech therapists (American Speech and Hearing Association era)
Known then as Speech-Language Pathologists (post-1978 ASHA name change; CCC-SLP credential established)
Known then as Speech-Language Pathologists (BLS SOC 29-1127)
Known today as Speech-Language Pathologists (BLS SOC 29-1127)
Projected to still be called Speech-Language Pathologists (BLS SOC 29-1127)
Data from the May 2025 survey
US Employment
183K
Est.

Stated in source: BLS OEWS

Official statistic
Report an error
Median Annual Wage
$97,870
Est.

≈ $95,361 in 2024 prices (derived by us, CPI-adjusted)

Official statistic
Report an error
Beat · 1925

The American Academy of Speech Correction was founded in Iowa City in 1925 with exactly 25 charter members, 15 of them women. The gender composition reflected the feminization of the emerging clinical side of the profession from its earliest days; women dominated school-based speech correction while men dominated the research and leadership of early ASHA. The name changed four times: American Society for the Study of Disorders of Speech (1927), American Speech Correction Association (1934), American Speech and Hearing Association (1947), and finally American Speech-Language-Hearing Association (1978).

Beat · 1952

The 1952 launch of the Certificate of Clinical Competence in Speech Pathology (CCC-SP, later CCC-SLP) was the pivotal professionalization milestone. The certificate required a master's degree, a supervised clinical fellowship year, and ongoing continuing education. The year it launched, ASHA received twice as many applications as in the entire preceding decade combined. The credential created a clear distinction between the licensed SLP and the uncertified "speech helper" and positioned the profession for state licensure campaigns over the following decades.

Beat · 1975

PL 94-142 (the Education for All Handicapped Children Act, signed November 29, 1975) was the single most consequential legislative event in SLP workforce history. By mandating that every child with a disability receive free and appropriate public education, with speech therapy listed explicitly as a related service, the law created a legal entitlement to SLP services for the first time. Schools became the largest employer of SLPs: today approximately 43% of the SLP workforce is school-based. The Individuals with Disabilities Education Act (IDEA, 1990) extended and strengthened PL 94-142's framework.

Beat · 1990

The 1990 ASHA position statement formally recognized clinical swallowing assessment and dysphagia treatment as within SLP scope of practice, ratifying what hospital-based SLPs had been doing informally since the 1970s. The formal scope expansion opened medical settings including acute care hospitals, inpatient rehabilitation, and long-term care facilities as major SLP employer categories, diversifying the profession beyond its school-based and outpatient-clinic core. Today dysphagia services in medical SLP settings are among the highest-compensated and most AI-resilient clinical activities in the profession.

Beat · 2024

By 2025, ASHA had grown from its 1925 founding membership of 25 to 247,000 members, certificate holders, and affiliates, making the SLP profession's centennial arc one of the most dramatic examples of healthcare workforce growth in US history. The gender composition remained heavily female throughout: as of 2023, approximately 95% of the SLP workforce is women. The workforce shortage persisted: with 178,790 SLP jobs in the May 2024 OEWS count and BLS projecting 13,300 annual openings (more than one new position for every SLP completing graduate training each year), the supply-demand gap favored job seekers. The ASHA 2025 centennial was also the year the profession formally addressed generative AI, issuing its first guidance document on AI for clinical practice.

How to read this number

OEWS is a point-in-time survey snapshot, not a continuous time series; BLS advises against using it for year-over-year trend comparison.

Each dot is a cited figure over time; the dotted line only links them (values between aren't measured). Hollow dots are estimates.

Official statistic: Copied by a script from a statistics agency table or a published study's table, not retyped by hand. BLS figures and the forecast and exposure tables are also re-checked against that table on every data run. Researched context: Researched from the cited source rather than copied from it by a script, so it is not machine-checked yet. Spot a mistake? Each figure has a “Report an error” link.

Cited forecasts · present → 2035

Will AI replace speech-language pathologists? What the research says

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, we show the disagreement rather than an average.

Each figure is stated by the named source; we publish no forecasts of our own. Where sources disagree, the spread is the honest signal.

What published forecasts say
Forecast change in the number of people doing this work, as published by each named source. Bars share one scale on every role, centred on zero and reaching the end at ±30%. Grey marks a small change, 3% or less either way.
BLS Employment Projections 2025-35
→ 2035
+16.6%
BLS National Employment Matrix, 2025-35 cycle, line for SOC 29-1127 (Speech-language pathologists): 193.4 thousand jobs in 2025, projected 225.5 thousand in 2035, a change of +32.1 thousand (+16.6%). Matrix employment counts all jobs in the occupation, including self-employed workers (4.5% of this occupation in 2025). The average for all occupations in this cycle is +3.5%.
Official statisticReport an error
How exposed is this work to AI (research measures)
Scores as published by each study. Each row says what it measures. These measure what AI could technically do, not forecasts of jobs lost.
Eloundou et al. (2023), "GPTs are GPTs"
2023 study · Share of tasks exposed to LLMs (β, human-rated)
39%
of tasks
What this measures

Published occupation-level exposure from the paper's occ_level.csv for O*NET-SOC 29-1127.00 Speech-Language Pathologists. Shown: human-rated β = 0.39, the share of the occupation's tasks an LLM could do in at least half the time at equal quality, counting tasks that need LLM-powered software at half weight (β = E1 + 0.5 × E2). Other published measures for this occupation: human-rated α (LLM alone) 0.098 and γ (all LLM-assisted) 0.683; GPT-4-rated β 0.451. This measures how much of the work an LLM could touch, not how many jobs disappear.

Official statisticReport an error
Today, in this role

What's changing day to day for speech-language pathologists

Three parts of your work where AI is already doing real lifting, and what stays yours.

AI is sitting alongside you hereWrite and review AI-drafted session notes, progress notes, evaluation reports, and IEP documentation, entering session findings or recording session audio into AI documentation tools (SLPFlow for SOAP/DAP/BIRP auto-drafting and IEP report generation

Write and review AI-drafted session notes, progress notes, evaluation reports, and IEP documentation, entering session findings or recording session audio into AI documentation tools (SLPFlow for SOAP/DAP/BIRP auto-drafting and IEP report generation; Tenalog via Ambiki for session transcription, phoneme-level articulation error analysis, and parent summaries; SPRY Scribe for ambient session-to-note conversion in under 2 minutes); editing AI drafts for clinical accuracy, HIPAA compliance, and individual student specificity before signing; citing AI tool use as required by ASHA 2025 ethics guidance.[7],[8],[9]

Where your edge is

Documentation burden is the top time dissatisfier for school-based and medical SLPs. SLPFlow generates SOAP, DAP, BIRP, and narrative-format notes plus full IEP documentation from session recordings for $20/month; Tenalog reduces per-session note time; SPRY Scribe converts session audio to structured notes in minutes. ASHA 2025 endorses AI-assisted documentation with caveats: use HIPAA-compliant tools only (SLPFlow and Tenalog use 256-bit encryption and do not train on patient data; ChatGPT does not provide Business Associate Agreements and must not be used with identifiable patient information); review all AI drafts for clinical accuracy (AI may mis-transcribe diagnostic terminology, invent session details, or produce overly generic IEP goal language); cite AI tool use per ASHA documentation ethics guidance. Mastery of SLP-specific documentation AI is the clearest near-term efficiency win in the profession, recovering many minutes per day that redirects to direct patient care.

AI is sitting alongside you herePrescribe and supervise AI-adaptive between-session speech and cognitive-language home practice, selecting evidence-based home practice apps (Constant Therapy for adult neurogenic speech/language/cognitive rehab

Prescribe and supervise AI-adaptive between-session speech and cognitive-language home practice, selecting evidence-based home practice apps (Constant Therapy for adult neurogenic speech/language/cognitive rehab; Tactus Therapy Language Therapy 4-in-1 for aphasia; Stamurai for stuttering) aligned with the patient's treatment goals; configuring starting difficulty levels based on hands-on session observation; monitoring AI-generated progress reports to adjust home program targets; integrating home practice data into session planning and progress documentation.[10],[11]

Where your edge is

AI home practice platforms (Constant Therapy, Tactus Therapy, Stamurai) have clear clinical evidence of extending therapeutic dosage beyond what weekly or twice-weekly SLP sessions alone can provide. The Cambridge University study on Tactus Therapy Language Therapy 4-in-1 found significant standardized language test improvement with many minutes daily practice; Constant Therapy's NeuroPerformance Engine adapts difficulty continuously and their research reports 5× more practice volume vs. usual care. Your SLP value is in app selection (which app is evidence-based for this specific diagnosis), initial difficulty calibration (set from your direct clinical observation), progress monitoring (reviewing AI-generated session data to adjust targets), and integration of home practice data into your clinical decision-making. SLPs who confidently prescribe and monitor AI home practice extend clinical reach to patients who cannot attend frequent in-person sessions and improve functional outcomes per BLS-tracked quality metrics.

AI is sitting alongside you hereLead IEP team meetings and develop individualized education program goals for students with communication disorders, synthesizing SLP evaluation findings, teacher observation data, parent input, and medical history into measurable SMART goals for speech sound production, language comprehension/expression, social-pragmatic communication, AAC use, and academic language

Lead IEP team meetings and develop individualized education program goals for students with communication disorders, synthesizing SLP evaluation findings, teacher observation data, parent input, and medical history into measurable SMART goals for speech sound production, language comprehension/expression, social-pragmatic communication, AAC use, and academic language; applying IDEA eligibility criteria and present-levels-of-performance writing; collaborating with special education teams, general education teachers, school psychologists, and OTs; using AI tools (SLPFlow, Magic School AI) to draft initial IEP goal language and present-level summaries for SLP customization.[3],[12]

Tools picking this up
Where your edge is

ASHA explicitly states that AI can provide a "structured starting point" for IEP goal writing but that SLPs must customize all AI-generated goals for the individual student: AI cannot interpret the student's actual diagnostic data, individualize the target phoneme or language structure, or set goals that reflect the student's specific educational performance context. The IEP meeting itself requires licensed SLP professional communication, IDEA compliance knowledge, parent trust, and team collaboration that are irreducibly human. Build depth in IDEA eligibility criteria decision-making (articulation vs. phonological disorder vs. language disorder eligibility determinations across states), Medicaid school-based SLP billing compliance, and facilitative IEP leadership skills: the dimensions of school-based SLP practice that AI tools do not address and that drive your indispensability to the school team.

Where speech-language pathologists go next

Natural next steps for someone with your foundation: not exits, evolutions.

What each move takes

A direction you could grow

Medical and Health Services Managers

Experienced Speech-Language Pathologists who develop clinical leadership, department management, and program development experience are well-positioned for Director of Speech-Language Pathology, Director of Rehabilitation Services, Director of Special Education, and VP of Therapy Services roles under Medical and Health Services Managers. As AI documentation tools (SLPFlow, Tenalog/Ambiki), AI between-session home practice platforms (Constant Therapy, Tactus Therapy), AAC AI tools (Proloquo2Go, Voiceitt), and school-based speech screening AI (SoapBox Labs) reshape SLP workflows across medical and educational settings, health systems, school districts, and early intervention programs urgently need SLP clinical leaders who understand both the clinical domain and the AI tool landscape. Natural stepping stones are Lead SLP, Senior SLP, Clinical Coordinator, Supervisor of Speech Services, and Director of Therapy Services roles. The ASHA Leadership Development Program, Master of Health Administration (MHA), or MBA in Healthcare Management accelerates this pathway into administrative and executive leadership.

What you'd add
  • · ASHA Leadership Development Program, designed for ASHA-certified clinicians developing clinical leadership and program management competencies; ASHA CEU credit; accessible while practicing clinically
  • · SLP program financial management: Medicare Part B SLP billing and documentation compliance (CPT codes 92507, 92508, 97130+), SNF PDPM therapy RUG categories, school-based SLP IDEA compliance and Medicaid billing, telepractice SLP billing, value-based SLP program development
  • · AI and digital health governance for SLP settings: evaluating SLP documentation AI tools (SLPFlow, Tenalog, SPRY Scribe), between-session home practice platforms (Constant Therapy, Tactus Therapy), AAC AI tools (Voiceitt, Proloquo2Go), and school-based speech screening AI (SoapBox Labs) for clinical quality and financial ROI
  • · Human resources and team development: hiring and retaining SLPs and SLP assistants (SLPAs) in a market with growing demand; managing SLP clinical fellowship and CFY supervision compliance; productivity benchmarking (treatment units/day, evaluation turnaround); ASHA supervision standards for SLPAs
  • · IDEA and healthcare regulatory expertise: IDEA compliance and IEP procedural requirements for school-based SLP program administration, CMS billing and documentation rules for medical SLP (Medicare Part A and B, Medicaid), Joint Commission rehabilitation standards, state SLP practice act supervision requirements
What it takesSome new skills to pick up
Tools of the era

How has the work of speech-language pathologists changed since 1861?

The tools that defined the work, one line per era. Select an era to see how it reshaped the work.

  • Elocution tradition + neurological observation (pre-professional era)

    Before the profession coalesced, speech work drew on two distinct traditions: the elocutionist, who worked with stuttering and articulation as a performance problem, coaching breathing, pacing, and vocal placement through imitation and repetition; and the neurologist, who after Broca (1861) and Wernicke (1873) began documenting that speech loss was a brain-based condition amenable to study if not yet to clinical treatment. There were no specialized instruments. The "tool" was the trained ear of the speech correctionists, a notebook for recording error patterns, and direct behavioral shaping through auditory modeling and repetition.

  • Clinical examination + early audiometric tools (ASHA founding era)

    The founding of the American Academy of Speech Correction (1925) introduced the first professional standards for clinical practice. Lee Edward Travis, the first president, was also a pioneer in using early physiological instrumentation including laryngoscopy and spirometry to study voice and stuttering. By the 1930s, audiometric pure-tone testing was advancing; the first wearable hearing aid appeared in 1938 and commercial audiometers were entering clinical use by the 1940s. World War II dramatically expanded the scope of practice: returning veterans with aphasia from combat brain injuries and with voice damage from explosion trauma required systematic rehabilitation, and the Veterans Administration funded the first large-scale clinical SLP workforce expansion.

  • Standardized assessments + behavioral therapy frameworks (CCC era)

    The 1952 launch of the Certificate of Clinical Competence (CCC-SLP) transformed speech pathology from a loosely defined specialty into a credentialed profession with defined scope, supervision requirements, and continuing education obligations. In parallel, behaviorism dominated clinical practice: Van Riper's stuttering modification therapy (1958 textbook edition), early articulation therapy using operant conditioning principles, and Mowrer's behavioral approaches to language remediation all emerged from this era. Standardized assessment tools began to appear: the Goldman-Fristoe Test of Articulation (1969) and the first editions of the Peabody Picture Vocabulary Test (1959). The SLP's toolkit was shifting from intuition-guided clinical observation toward empirically validated, reproducible assessment protocols.

  • Early AAC devices (Lightwriter 1973, Blissymbols, HandiVoice) and PL 94-142 (1975)

    Two developments transformed the scope of SLP practice in the 1970s and 1980s. First, early augmentative and alternative communication (AAC) devices arrived: Blissymbols were introduced in Canada in 1971 for children who could not use traditional orthography; the Lightwriter, the first portable communication device, launched in 1973; and the HandiVoice, among the first voice-output communication aids, appeared by the late 1970s. These technologies extended SLP work to nonverbal individuals for the first time in a systematic way. Second, and more structurally consequential, PL 94-142 (the Education for All Handicapped Children Act, signed November 29, 1975) mandated that every US public school child with a disability receive free and appropriate public education, with speech therapy explicitly listed as a related service. The law created the largest single expansion of SLP employment demand in the profession's history, generating tens of thousands of school-based positions that had not previously existed.

    Effect on the work

    PL 94-142 roughly doubled the school-based SLP workforce over the decade following its implementation. By 1980 the US SLP workforce had grown to an estimated 50,000, with schools replacing hospitals as the largest single employer of SLPs.

  • Digital AAC (DynaVox 1986, DeltaTalker 1993), acoustic biofeedback, and evidence-based MBSS

    The 1990s brought digital-display AAC devices that replaced static communication boards with dynamic vocabulary systems: DynaVox launched its first device in 1986 and expanded through the early 1990s; the DeltaTalker (PRC) arrived in 1993. For SLPs, dynamic-display AAC systems changed the assessment and programming workflow: feature-matching became a systematic clinical process rather than a trial-and-error fit. Simultaneously, videofluoroscopic Modified Barium Swallow Study (MBSS) became a standard dysphagia evaluation tool, allowing SLPs to observe bolus flow in real time and make diet texture decisions with radiological imaging support. Acoustic voice analysis instruments (Visi-Pitch, Multi-Dimensional Voice Program) enabled visual biofeedback for voice therapy. The 1990 ASHA position statement on dysphagia formally recognized clinical swallowing assessment as within SLP scope, expanding the medical-setting practice of the profession.

  • App-based therapy platforms (Proloquo2Go 2009, Tactus Therapy, Constant Therapy)

    The iPhone (2007) and iPad (2010) transformed SLP clinical practice in two ways. First, consumer touchscreen devices became functional AAC platforms: Proloquo2Go launched in 2009 and quickly became the most widely used AAC app globally, giving SLPs an affordable, portable, and configurable alternative to expensive dedicated-device AAC systems. Second, evidence-based therapy apps emerged for between-session practice: Tactus Therapy's Language Therapy 4-in-1 for aphasia and Constant Therapy's AI-adaptive neuro rehab platform (launched 2013) allowed patients to continue structured speech and language exercises at home, extending therapeutic dosage beyond the once- or twice-weekly clinic visit. SLPs became app prescribers as well as direct clinicians, evaluating clinical evidence for home practice platforms and monitoring patient progress through app-generated data.

    Effect on the work

    App-based therapy platforms did not displace SLPs; they extended SLP reach to patients with transportation, scheduling, or payer-access barriers to regular in-person sessions. The platforms produced measurable outcomes: the Cambridge University study on Tactus Therapy found significant standardized language test improvement per day; Constant Therapy research showed 5 times more practice volume versus usual care.

  • Telepractice + AI documentation (SLPFlow, Tenalog/Ambiki, SPRY Scribe)

    The COVID-19 pandemic drove a sharp, sudden pivot to telepractice: in March 2020 ASHA issued emergency telepractice guidance and major insurers (UnitedHealthcare, Cigna, Tricare) rapidly expanded coverage of video-delivered SLP services. More than 70 million Americans became eligible for telehealth SLP reimbursement as a result. Telepractice proved effective for articulation, language, and fluency therapy, though dysphagia instrumental assessments and hands-on AAC programming remained in-person. Simultaneously, AI documentation tools purpose-built for SLPs emerged and gained adoption: SLPFlow (HIPAA-compliant SOAP, DAP, BIRP, and IEP note generation from session recordings), Tenalog via Ambiki (session transcription, phoneme-level articulation error analysis, and parent summaries), and SPRY Scribe (ambient session-to-note conversion in under two minutes). These tools directly target the largest non-clinical time burden in SLP practice: documentation, which school-based SLPs estimate per day. ASHA's 2025 guidance endorsed AI-assisted documentation with HIPAA, consent, and review requirements, marking formal professional recognition of AI as a clinical efficiency tool for the first time.

    Effect on the work

    Telepractice expansion broadened access to SLP services in rural and underserved areas without measurably reducing in-person SLP employment. AI documentation tools are augmenting, not replacing, SLP clinical roles: by reducing administrative burden, they free session time for direct intervention.

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Speech-Language Pathologists employment and pay by year

On record since1861
Latest US employment183,390 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Latest US median pay$97,870 (May 2025)Source: BLS OEWS May 2025Official statisticReport an error
Outlook+16.6% by 2035Source: BLS Employment Projections 2025-35Official statisticReport an error
View all 28 years of cited US data, each linked to its source
YearUS employmentAnnual pay (median unless marked)SourceReport
192525n/aEst., ASHA Researched contextReport
19521,600n/aEst., ASHA Researched contextReport
197025,000$9,500Est., ASHA Leader 2025 (employment) Researched contextEst., University of Missouri Libraries (pay) Researched contextReport
198050,000n/aEst., Wikipedia Researched contextReport
199073,000$32,000BLS CPS 2024 Researched contextReport
200386,640$50,050BLS OEWS May 2003 Official statisticReport
200489,260$52,410BLS OEWS May 2004 Official statisticReport
200594,660$54,880BLS OEWS May 2005 Official statisticReport
200698,690$57,710BLS OEWS May 2006 Official statisticReport
2007103,810$60,690BLS OEWS May 2007 Official statisticReport
2008107,340$62,930BLS OEWS May 2008 Official statisticReport
2009111,640$65,090BLS OEWS May 2009 Official statisticReport
2010112,530$66,920BLS OEWS May 2010 Official statisticReport
2011117,210$69,100BLS OEWS May 2011 Official statisticReport
2012121,690$69,870BLS OEWS May 2012 Official statisticReport
2013125,050$70,810BLS OEWS May 2013 Official statisticReport
2014126,500$71,550BLS OEWS May 2014 Official statisticReport
2015131,450$73,410BLS OEWS May 2015 Official statisticReport
2016135,980$74,680BLS OEWS May 2016 Official statisticReport
2017142,360$76,610BLS OEWS May 2017 Official statisticReport
2018146,900$77,510BLS OEWS May 2018 Official statisticReport
2019154,360$79,120BLS OEWS May 2019 Official statisticReport
2020148,450$80,480BLS OEWS May 2020 Official statisticReport
2021147,470$79,060BLS OEWS May 2021 Official statisticReport
2022162,760$84,140BLS OEWS May 2022 Official statisticReport
2023172,100$89,290BLS OEWS May 2023 Official statisticReport
2024178,790$95,410BLS OEWS May 2024 (employment) Official statisticBLS OEWS May 2024 (pay) Official statisticReport
2025183,390$97,870BLS OEWS May 2025 Official statisticReport
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