AI exposure: Music Therapists
Plan, organize, direct, or assess clinical and evidenced-based music therapy interventions to positively influence individuals' physical, psychological, cognitive, or behavioral status.
Reading this score
computedMusic Therapists is one of the unusual cases where capability and friction are both high. Current systems can produce a great deal of this work, with average capability across its tasks at 2.1 out of 4. Only 24.1% of the weighted task load comes out as exposed, because 28.5% of it runs into something structural. Jobs in this band tend not to disappear. They change shape, and the person stays.
What holds the line here is verification cost. Across this occupation's 30 tasks it averages 2.35 out of 3, the highest of the five friction dimensions. In plain terms, checking the output costs more than producing it. Where an undetected error is expensive, dangerous or irreversible, the economics change. Someone has to verify the work, and verifying can cost as much as doing it. This is the friction most likely to fall as tools for checking improve.
The most exposed thing this job does is Analyze data to determine the effectiveness of specific treatments or therapy approaches, at 66.7%. The least is Identify and respond to emergency physical or mental health situations, at 0.0%. A gap of 66.7% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within healthcare practitioner and technical occupations, this one is more exposed than most. The median across the 89 roles in the group is 18.4%, and only 12 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.
What would move this score. Of 30 tasks, 12 are currently banded exposed, 11 assisted and 7 untouched. For that distribution to shift materially would take a change in who is permitted to sign the work, which is a question for regulators rather than for engineers. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 2.12 | 0-4 |
| Embodiment | 0.63 | 0-3 |
| Presence | 1.47 | 0-3 |
| Accountability | 2.23 | 0-3 |
| Context | 1.88 | 0-3 |
| Verification cost | 2.35 | 0-3 |
What this means in practice
Roles in this band tend to change shape rather than disappear. The output gets drafted faster and the person moves toward review, judgment and accountability. The useful question is not whether to use these tools but who is trusted to sign off on what they produce.
Task by task
30 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Analyze data to determine the effectiveness of specific treatments or therapy approaches. | 66.7% | 33.3% | 0.0% | 3.67 | exposed |
| Document evaluations, treatment plans, case summaries, or progress or other reports related to individual clients or client groups. | 53.3% | 46.7% | 0.0% | 4.65 | exposed |
| Communicate client assessment findings and recommendations in oral, written, audio, video, or other forms. | 46.7% | 53.3% | 0.0% | 4.20 | assisted |
| Conduct information sharing sessions, such as in-service workshops for other professionals, potential client groups, or the general community. | 45.0% | 30.0% | 25.0% | 3.73 | exposed |
| Gather diagnostic data from sources such as case documentation, observations of clients, or interviews with clients or family members. | 37.5% | 37.5% | 25.0% | 4.35 | assisted |
| Customize treatment programs for specific areas of music therapy, such as intellectual or developmental disabilities, educational settings, geriatrics, medical settings, mental health, physical disabilities, or wellness. | 30.0% | 45.0% | 25.0% | 4.69 | assisted |
| Observe and document client reactions, progress, or other outcomes related to music therapy. | 30.0% | 45.0% | 25.0% | 4.56 | assisted |
| Participate in continuing education. | 30.0% | 20.0% | 50.0% | 4.23 | exposed |
| Analyze or synthesize client data to draw conclusions or make recommendations for therapy. | 30.0% | 45.0% | 25.0% | 3.80 | assisted |
| Apply selected research findings to practice. | 30.0% | 20.0% | 50.0% | 3.68 | exposed |
| Assess the risks and benefits of treatment termination for clients. | 30.0% | 45.0% | 25.0% | 3.64 | assisted |
| Design music therapy experiences, using various musical elements to meet client's goals or objectives. | 26.7% | 23.3% | 50.0% | 4.88 | exposed |
| Improvise instrumentally, vocally, or physically to meet client's therapeutic needs. | 26.7% | 23.3% | 50.0% | 4.46 | exposed |
| Plan or structure music therapy sessions to achieve appropriate transitions, pacing, sequencing, energy level, or intensity in accordance with treatment plans. | 26.7% | 23.3% | 50.0% | 4.31 | exposed |
| Integrate behavioral, developmental, improvisational, medical, or neurological approaches into music therapy treatments. | 26.7% | 23.3% | 50.0% | 4.20 | exposed |
| Compose, arrange, or adapt music for music therapy treatments. | 26.7% | 23.3% | 50.0% | 4.04 | exposed |
| Adapt existing or develop new music therapy assessment instruments or procedures to meet an individual client's needs. | 26.7% | 23.3% | 50.0% | 3.54 | exposed |
| Apply current technology to music therapy practices. | 26.7% | 23.3% | 50.0% | 3.50 | exposed |
| Collaborate with others to design or implement interdisciplinary treatment programs. | 25.0% | 50.0% | 25.0% | 3.76 | assisted |
| Establish client goals or objectives for music therapy treatment, considering client needs, capabilities, interests, overall therapeutic program, coordination of treatment, or length of treatment. | 20.0% | 30.0% | 50.0% | 4.68 | assisted |
| Conduct, or assist in the conduct of, music therapy research. | 20.0% | 30.0% | 50.0% | 3.27 | assisted |
| Confer with professionals on client's treatment team to develop, coordinate, or integrate treatment plans. | 13.3% | 36.7% | 50.0% | 4.17 | assisted |
| Assess client functioning levels, strengths, and areas of need in terms of perceptual, sensory, affective, communicative, musical, physical, cognitive, social, spiritual, or other abilities. | 10.0% | 40.0% | 50.0% | 4.58 | assisted |
| Communicate with clients to build rapport, acknowledge their progress, or reflect upon their reactions to musical experiences. | 8.3% | 16.7% | 75.0% | 4.85 | untouched |
| Sing or play musical instruments, such as keyboard, guitar, or percussion instruments. | 6.2% | 6.2% | 87.5% | 4.88 | untouched |
| Supervise staff, volunteers, practicum students, or interns engaged in music therapy activities. | 5.0% | 20.0% | 75.0% | 3.65 | untouched |
| Design or provide music therapy experiences to address client needs, such as using music for self-care, adjusting to life changes, improving cognitive functioning, raising self-esteem, communicating, or controlling impulses. | 3.3% | 21.7% | 75.0% | 4.92 | untouched |
| Engage clients in music experiences to identify client responses to different styles of music, types of musical experiences, such as improvising or listening, or elements of music, such as tempo or harmony. | 3.3% | 21.7% | 75.0% | 4.27 | untouched |
| Select or adapt musical instruments, musical equipment, or non-musical materials, such as adaptive devices or visual aids, to meet treatment objectives. | 0.0% | 0.0% | 100.0% | 4.16 | untouched |
| Identify and respond to emergency physical or mental health situations. | 0.0% | 0.0% | 100.0% | 3.83 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.