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Updated: Feb 6

Stable

Last Update: 11/21/2025

Your role’s AI Resilience Score is

71.5%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.

AI Resilience Report for

Speech-Language Pathologists

They help people communicate better by assessing speech or language issues and providing exercises and strategies to improve speaking, understanding, and swallowing.

Summary

A career as a Speech-Language Pathologist is considered "Stable" because AI tools are mainly used to support rather than replace the therapist. While AI can help with routine tasks like screening and documentation, the core of the job—understanding each person's unique needs and providing personalized care—relies heavily on human judgment and empathy.

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Summary

A career as a Speech-Language Pathologist is considered "Stable" because AI tools are mainly used to support rather than replace the therapist. While AI can help with routine tasks like screening and documentation, the core of the job—understanding each person's unique needs and providing personalized care—relies heavily on human judgment and empathy.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Evolving iconEvolving

66.7%

66.7%

Microsoft's Working with AI

AI Applicability

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Evolving iconEvolving

55.4%

55.4%

Will Robots Take My Job

Automation Resilience

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Stable iconStable

87.4%

87.4%

High Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

15.0%

Growth Percentile:

96.8%

Annual Openings:

13.3

Annual Openings Pct:

59.3%

Analysis of Current AI Resilience

Speech-Lang Pathologist

Updated Quarterly • Last Update: 11/21/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

AI is starting to help speech-language pathologists (SLPs) with some parts of their work, but it usually just supports the therapist rather than replaces them. For example, software tools can quickly screen a person’s speech and flag possible problems, so the SLP knows who needs more testing [1]. Some apps use AI-powered speech recognition to let people with severe speech impairments be understood in real time [2].

Research reviews report that these tools can catch communication issues earlier and personalize therapy, making sessions more engaging and data-driven [1] [2]. Similarly, AI-driven devices (so-called AAC aids) can suggest words or turn eye gaze into speech for people who can’t speak, based on the habits of each user [2] [2].

On the other hand, tasks like writing reports and plans are partly automated. New AI tools can record therapy sessions and even draft notes or progress summaries [1] [1]. For instance, improved speech-to-text programs let SLPs spend less time typing and more time with clients [1] [1].

AI can also analyze changes in a person’s voice over time, helping therapists monitor improvement or spot new issues [2] [1]. In short, AI helps with routine checks, documentation, and some kinds of analysis: it can flag potential diagnosis (task 1 and 5), power creative communication aids (task 2), and handle notes and data entry (task 3). But human skills like making a full treatment plan, showing empathy, and adjusting therapy based on subtle cues still need the SLP’s judgment [1] [3].

Professional groups warn that AI should be an aid, not a replacement – it “cannot replace the … SLP,” though it might make care more efficient if used carefully [3] [1].

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AI Adoption

AI Adoption

Whether these AI tools become common depends on many factors. Right now, only some commercial products exist (for example, apps that help with speech practice or documentation), and many innovations are still in research or early use. Cost matters: any new software or device must be affordable for clinics or schools.

Users also need to trust it. Surveys find people generally like using AI for simple tasks but worry about critical ones. In one study, 84% of people were okay with AI scheduling appointments or filling in forms [4], but only about 34% felt comfortable with AI making treatment decisions [4].

This makes sense: patients and parents value the personal relationship and expertise of a real therapist.

Ethical and practical concerns can slow things down, too. Therapists and regulators want proof that an AI tool really works and is safe before it’s used in care [1] [3]. Speech data is private – voice recordings can reveal sensitive information (age, health, identity) [1] – so tools must protect privacy.

Adoption will likely be faster in areas where AI clearly saves time or reaches more people. For example, if technology can reliably cut paperwork or let SLPs see more clients without losing quality, that could drive usage [1] [4]. In practice, many expect SLPs to use AI for routine parts of the job (like notes and simple screening) while keeping major decisions human-led.

Most experts agree AI is best seen as a partner that handles some work so therapists can spend more time helping clients [3] [4].

Overall, AI is augmenting the job rather than fully automating it. While tools are improving (speech-to-text, mobile therapy apps, smart AAC devices), the core of speech therapy – understanding a person’s unique needs and guiding them – still needs a human. As one professional article puts it, AI in speech pathology is an “aid to clinical expertise” [1] [1].

In other words, SLPs shouldn’t fear losing their jobs to robots. Instead, AI can be a helper that makes their work easier and lets them focus on the people they care about.

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More Career Info

Career: Speech-Language Pathologists

Employment & Wage Data

Median Wage

$95,410

Jobs (2024)

187,400

Growth (2024-34)

+15.0%

Annual Openings

13,300

Education

Master's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

75% ResilienceCore Task

Develop individual or group activities or programs in schools to deal with behavior, speech, language, or swallowing problems.

2

75% ResilienceCore Task

Supervise or collaborate with therapy team.

3

65% ResilienceCore Task

Monitor patients' progress and adjust treatments accordingly.

4

65% ResilienceCore Task

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.

5

65% ResilienceCore Task

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 recommendatio...

6

65% ResilienceCore Task

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

7

65% ResilienceCore Task

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

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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