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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Speech-Language Pathologists are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
A career as a Speech-Language Pathologist is labeled as "Resilient" because the core tasks require uniquely human skills like empathy, judgment, and creativity. While AI can help with administrative work and simple screenings, it cannot replace the personal touch needed for creating custom therapy plans or counseling families.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is resilient
A career as a Speech-Language Pathologist is labeled as "Resilient" because the core tasks require uniquely human skills like empathy, judgment, and creativity. While AI can help with administrative work and simple screenings, it cannot replace the personal touch needed for creating custom therapy plans or counseling families.
Read full analysisAnalysis of Current AI Resilience
Speech-Lang Pathologist
Updated Quarterly • Last Update: 2/17/2026

Right now, speech-language pathologists (SLPs) still do most of their work by hand, but AI tools are starting to help. For example, computer programs can listen to a child’s words and flag possible delays or disorders faster than a manual check [1] [1]. Speech-to-text and language-analysis software can transcribe sessions and spot patterns, which saves therapists time on paperwork [1] [1].
Apps using voice analysis can measure pitch or fluency and even hint at issues like stuttering or voice strain [1] [1]. Some “smart” hearing tests exist that use machine learning to predict hearing loss from simple data [1]. However, core tasks – like inventing new therapy activities, leading a support group, counseling a worried parent, or writing a custom treatment plan – still need a human’s judgment and empathy [1] [2].
In short, today’s AI acts as an assistant (augmenting the work) rather than a replacement: it can help flag problems and manage data, but SLPs still guide treatment and teach families in person [1] [2].

Speech therapy has been slow to fully adopt AI, and there are a few clear reasons. First, good tools take training and trust. A recent survey found many SLPs see AI as potentially helpful but actually use it mainly for admin tasks (like writing reports) and hesitate to rely on it clinically [2].
Therapists want rules and training before letting AI make big decisions [2]. Second, specialized speech-AI isn’t cheap or plug-and-play. Many of these tools require lots of data and testing to work well with diverse accents and ages, so clinics move cautiously.
On the other hand, there is a real need – there aren’t enough therapists in some areas – so affordable AI that reaches more people could be welcomed [1] [1]. Finally, privacy and ethics matter: any AI must protect patient data and be proven safe and fair. Overall, experts expect AI to grow slowly in speech therapy – helping clinicians with things like homework practice and basic screening – while therapists continue to lead complex care [1] [2].

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They help people communicate better by assessing speech or language issues and providing exercises and strategies to improve speaking, understanding, and swallowing.
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
AI-generated estimates of task resilience over the next 3 years
Teach clients to control or strengthen tongue, jaw, face muscles, or breathing mechanisms.
Consult with and refer clients to additional medical or educational services.
Instruct clients in techniques for more effective communication, such as sign language, lip reading, or voice improvement.
Communicate with non-speaking students, using sign language or computer technology.
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...
Participate in and write reports for meetings regarding patients' progress, such as individualized educational planning (IEP) meetings, in-service meetings, or intervention assistance team meetings.
Monitor patients' progress and adjust treatments accordingly.
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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