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Healthcare

Speech Language Pathologist

Based on 36 assessments

19% Low risk

Average realistic automation risk across all Speech Language Pathologist profiles in the dataset.

Raw potential
38%
Realistic risk
19%
Research benchmark ?
39%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 36 profiles. Middle half of Speech Language Pathologists score between 16% and 22%.

0% 50% 100%
p10 · 15%
24% · p90
On-screen work 17%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 38%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 0%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 45%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Speech Language Pathologist, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Conducting one-on-one therapy sessions with patients to improve speech, language, or swallowing disorders (e.g., helping a child with articulation issues practice sounds or guiding an adult recovering from a stroke to regain speech abilities)
some context needed
39% AA 12%
Evaluating and diagnosing speech, language, voice, or swallowing disorders through standardized tests, observations, and patient history reviews (e.g., administering a language assessment to a child with autism or analyzing a patient’s vocal cord function)
27% AD 28%
Educating patients, families, or caregivers on strategies to support communication or swallowing at home (e.g., teaching parents how to reinforce speech exercises with their child or demonstrating safe swallowing techniques to a caregiver)
deep expertise social element
17% AA 0%
Coordinating with schools, employers, or community organizations to advocate for accommodations or support for patients (e.g., working with a teacher to implement a communication plan for a student with a speech disorder or arranging workplace modifications for an adult with a voice disorder)
deep expertise
6% AD 11%
Developing and updating individualized treatment plans based on patient progress, goals, and medical recommendations (e.g., adjusting therapy techniques for a patient with Parkinson’s disease or setting new milestones for a child with a fluency disorder)
deep expertise social element
4% AD 14%
Documenting patient progress, writing reports, and communicating with other healthcare providers (e.g., updating electronic health records, summarizing therapy outcomes for a doctor, or collaborating with an occupational therapist on a shared patient)
3% DD 60%
Researching or staying updated on new therapy techniques, tools, or technologies (e.g., attending workshops, reading studies on augmentative communication devices, or testing new apps for language development)
1% DD 66%

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