Will AI replace Speech-Language Pathology Assistants?
In theory, AI could do about 61% of the work in Speech-Language Pathology Assistants. In practice, as of late 2025, almost no one is actually using it that way — yet.
O*NET-SOC 31-9099
How your 20 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a high share of this job's tasks (~61%). By late 2025, real-world AI use had reached about 0% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Don't trust a single AI-risk score here
For this job, the signals disagree sharply. AI's theoretical reach looks high (~61%), but real-world use is only ~0%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.
See all 20 tasks, ratedBased on real task-level AI scores — click to collapse
- Document clients' progress toward meeting established treatment objectives.
- Collect and compile data to document clients' performance or assess program quality.
- Perform support duties, such as preparing materials, keeping records, maintaining supplies, and scheduling activities.
- Attend in-service training to validate or refresh basic professional skills.
- Implement treatment plans or protocols as directed by speech-language pathologists.
- Assist speech-language pathologists in the remediation or development of speech and language skills.
- Select or prepare speech-language instructional materials.
- Assist speech-language pathologists in the conduct of client screenings or assessments of language, voice, fluency, articulation, or hearing.
- Prepare charts, graphs, or other visual displays to communicate clients' performance information.
- Read current literature, talk with colleagues, or participate in professional organizations or conferences to keep abreast of developments in endoscopy.
- Clean, disinfect, or calibrate scopes or other endoscopic instruments according to manufacturer recommendations and facility standards.
- Prepare suites or rooms according to endoscopic procedure requirements.
- Assist physicians or registered nurses in the conduct of endoscopic procedures.
- Collect specimens from patients, using standard medical procedures.
- Maintain or repair endoscopic equipment.
- Perform safety checks to verify proper equipment functioning.
- Place devices, such as blood pressure cuffs, pulse oximeter sensors, nasal cannulas, surgical cautery pads, and cardiac monitoring electrodes, on patients to monitor vital signs.
- Position or transport patients in accordance with instructions from medical personnel.
- Maintain inventories of endoscopic equipment and supplies.
- Conduct in-service training sessions to disseminate information regarding equipment or instruments.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.