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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%).
Low
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Massage Therapists are more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
The career of a massage therapist is labeled as "Resilient" because the essential work requires human skills like touch, empathy, and communication, which AI cannot replicate. While AI tools might assist with tasks like scheduling or providing exercise guidance, the core job of understanding and relieving clients' muscle pain relies on personal interaction and hands-on care.
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Learn more about how you can thrive in this position
This role is resilient
The career of a massage therapist is labeled as "Resilient" because the essential work requires human skills like touch, empathy, and communication, which AI cannot replicate. While AI tools might assist with tasks like scheduling or providing exercise guidance, the core job of understanding and relieving clients' muscle pain relies on personal interaction and hands-on care.
Read full analysisAnalysis of Current AI Resilience
Massage Therapists
Updated Quarterly • Last Update: 2/17/2026

Massage therapy still relies mostly on human skills. For example, official job guides list tasks like “maintain treatment records” and “provide guidance on stretching, strengthening, relaxation, and rehabilitative exercises” [1]. These record-keeping and education tasks can use computers (many therapists now use software for notes and appointments), but the core care comes from people.
Hands-on parts like “massage and knead muscles” and talking with clients to understand their pain [2] are not something AI does on its own. AI-driven devices are just starting to appear. One Mayo Clinic report describes a robot (called EMMA) that can give a consistent Chinese-style massage, but even there a human therapist does the exam and let the robot handle repetitive strokes [3].
In other words, such robots would help therapists with tired arms and detailed work, not replace them entirely. Right now, massage robots are rare, and most practitioners use simple tools (like apps or online demos for exercises), not full AI. Overall the high-tech tools mainly assist with paperwork or marketing – the personal touch and decision-making are still human strengths.

Several factors will shape how fast AI comes into massage therapy. On one hand, demand for massage is steady – the U.S. Bureau of Labor Statistics projects 15% job growth for massage therapists over the next decade [2] – so many people will need therapists. In one case Mayo Clinic researchers noted there aren’t enough trained experts for half of chronic back-pain patients [3], which is encouraging some clinics to explore technology helpers.
However, on the other hand most massage businesses are small or independent – BLS data shows about 42% of therapists are self-employed [2] – so investing in expensive robots or software can be hard. People also usually prefer a comforting human presence during massage, so trust and privacy are concerns. In short, while robots and AI tools (for scheduling, virtual stretching classes, etc.) can offer gains, fully skipping the therapist is still far off.
The human touch, empathy, and hands-on expertise remain important, and experts expect AI will more likely augment (not replace) therapists’ work in the coming years [3] [2].

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They help people feel better by using their hands to massage muscles, reduce stress, and relieve pain.
Median Wage
$57,950
Jobs (2024)
168,000
Growth (2024-34)
+15.4%
Annual Openings
24,700
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Consult with other health care professionals, such as physiotherapists, chiropractors, physicians, and psychologists, to develop treatment plans for clients.
Massage and knead muscles and soft tissues of the body to provide treatment for medical conditions, injuries, or wellness maintenance.
Apply finger and hand pressure to specific points of the body.
Perform other adjunctive therapies or treatment techniques in addition to massage.
Use complementary aids, such as infrared lamps, wet compresses, ice, and whirlpool baths to promote clients' recovery, relaxation, and well-being.
Develop and propose client treatment plans that specify which types of massage are to be used.
Assess clients' soft tissue condition, joint quality and function, muscle strength, and range of motion.
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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