Shampooers
39-5093.00Median wage $32,600/yr8,070 employed (US)Rank #785 of 923 scored · top 85% by substitution
Shampoo and rinse customers' hair.
Sub-scores
0–100 · band = confidence interval from rater disagreement
Substitution15
Exposure11
Augmentation25
Substitution — the headline: capability discounted by cost, barriers and adoption.
Exposure — technical capability alone, regardless of whether anyone deploys it.
Augmentation — how much AI assists without replacing. High here + moderate substitution = a changing job, not a disappearing one.
Tasks on the substitution scale
4 rated tasks, binned by substitution score.
Position among all scored occupations
Distribution of 923 occupation scores; the marker is this occupation.
Tasks with substitution ≥ 70
0%
Run 1.0.0-draft.1 · computed 2026-08-05 · rater panel: claude-sonnet-5, claude-haiku-4-5-20251001 · intervals span rater disagreement.
Why this score
The five weighted dimensions of the composite, averaged across this occupation's tasks (importance-weighted, panel mean). Exact weights and formulas: /api/v1/methodology.
Task automatabilityw 35%13
panel mean rating 1.5/5 → substitution pressure 13/100
Technical feasibility todayw 20%9
panel mean rating 1.4/5 → substitution pressure 9/100
Cost vs. human wagew 15%13
panel mean rating 1.5/5 → substitution pressure 13/100
Adoption barriersw 20%inverted — strong barriers lower the score34
panel mean rating 3.6/5 (barrier strength) → substitution pressure 34/100
Sector adoption velocityw 10%3
panel mean rating 1.1/5 → substitution pressure 3/100
Task breakdown (4 tasks)
Substitution pressure per task, weighted by O*NET importance in the composite. Expand a task for the full rater audit trail — every rating, every model, every rationale.
Maintain treatment records.
46CI 23–70 · exposure 45 · augmentation 50 · importance 4.6/5 · click for rater detail
Maintain treatment records.
46| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Salon and cosmetology businesses, particularly independent and small operators where shampooers work, remain largely non-digitized and resistant to technology adoption; digitization of treatment records is minimal across the sector. |
| Sector adoption velocity | claude-sonnet-5 | 2/5 | Personal care services are a low-digitization, small-business-heavy sector where adoption of AI record tools is slow and inconsistent compared to information/professional sectors. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | Basic AI assistance (auto-filling dates, suggesting product categories) could marginally speed up manual entry, but the task is already quick and low-complexity, limiting meaningful augmentation value in practice. |
| Augmentation potential | claude-sonnet-5 | 4/5 | AI-enabled scheduling/record software meaningfully speeds up and standardizes note-taking and record retrieval, improving efficiency even if a human still oversees client interaction. |
| Task automatability | claude-haiku-4-5-20251001 | 2/5 | Recording basic treatment details (date, product used, client notes) could be partially automated via forms or voice input, but shampooers rarely work in digitized settings with integrated systems, and context-specific client information requires human judgment to capture meaningfully. |
| Task automatability | claude-sonnet-5 | 4/5 | Recording client treatment details is a structured data-entry task that AI-assisted software (templates, voice-to-text, autofill) can largely handle, meeting the time-saving threshold for most of the documentation work. |
| Adoption barriers | claude-haiku-4-5-20251001 | 4/5 | Health and safety regulations, client privacy (HIPAA in the US), and salon liability for service records create meaningful legal and compliance barriers; records must often be kept by the service provider and may require human attestation. |
| Adoption barriers | claude-sonnet-5 | 1/5 | There is no licensing or legal requirement mandating a human personally maintain these records; software-based logging is already common and unregulated for this purpose. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 2/5 | The time cost to set up and integrate an AI system for treatment records in a small salon far exceeds the minimal wage cost of a shampooer spending 5–10 minutes per day recording notes manually. |
| Cost vs. human wage | claude-sonnet-5 | 4/5 | Digital record systems and AI transcription/autofill tools are cheap relative to the minimal wage cost of a shampooer manually logging notes, making automation clearly cheaper. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 2/5 | While basic note-taking apps and salon management software exist, most shampooers work in low-tech environments with manual or paper-based record-keeping; deployed AI solutions do not reliably handle this occupational workflow in production salons. |
| Technical feasibility today | claude-sonnet-5 | 3/5 | Salon management software with digital record-keeping and voice/text input exists and is used, but many shampooers still rely on simple paper notes or basic POS systems without AI-driven automation deployed at scale in this niche role. |
Massage, shampoo, and condition patron's hair and scalp to clean them and remove excess oil.
5CI 0–10 · exposure 0 · augmentation 0 · importance 4.8/5 · click for rater detail
Massage, shampoo, and condition patron's hair and scalp to clean them and remove excess oil.
5| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | The personal-care sector has minimal adoption of physical automation. Salons remain low-digitization, human-centered environments with little institutional pressure or capability to deploy robotics for hands-on grooming tasks. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Personal care services are a low-digitization, physical-labor sector with essentially no AI or robotic adoption for tasks like hair washing. |
| Augmentation potential | claude-haiku-4-5-20251001 | 1/5 | AI offers no meaningful assistance to a human shampooing hair. The task is primarily manual and tactile; there is no decision-support, information retrieval, or cognitive component that AI could meaningfully enhance. |
| Augmentation potential | claude-sonnet-5 | 1/5 | AI tools offer no meaningful assistance to the physical act of shampooing and massaging a client's hair and scalp. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires direct physical manipulation of a patron's hair and scalp with hands-on massage and product application. Current AI systems cannot perform physical touch, manipulation, or the tactile judgment needed to assess scalp condition and adjust technique accordingly. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a physical, tactile task requiring hands-on manipulation of a client's hair, scalp, and body; no current AI or robotic system can perform this end-to-end. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Strong barriers exist: customers strongly prefer human contact and personal attention for grooming services; liability and safety concerns around robot-to-scalp contact are substantial; and salon norms expect a human attendant for comfort and service quality. |
| Adoption barriers | claude-sonnet-5 | 3/5 | No licensing requirement specific to shampooing exists in most jurisdictions, but the inherently physical, personal-contact nature of the task and customer expectations create strong practical barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | Humanoid robots with the dexterity and safety systems required to perform this task remain prohibitively expensive, measured in hundreds of thousands of dollars per unit, versus modest hourly wages for shampooers. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute, so any hypothetical automation (specialized robotics) would be far more costly than paying a low-wage human shampooer. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product can physically shampoo and massage a human scalp. The task inherently requires embodied robotics capable of fine motor control, force calibration, and response to haptic feedback—well beyond current commercial deployment in salons. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs hair washing, scalp massage, or conditioning application on live patrons; this remains purely manual physical labor. |
Advise patrons with chronic or potentially contagious scalp conditions to seek medical treatment.
5CI 0–10 · exposure 0 · augmentation 25 · importance 4.7/5 · click for rater detail
Advise patrons with chronic or potentially contagious scalp conditions to seek medical treatment.
5| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | The salon and personal care sector has low digital automation adoption overall, and health-related advice functions remain heavily human-mediated due to liability and trust norms. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Personal care services are a low-digitization, physical-contact sector with minimal AI adoption for hands-on tasks like this. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could assist by flagging common visible scalp conditions in an educational reference, but the decision to advise a patron requires human judgment and accountability that AI assistance alone does not enhance meaningfully. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could provide reference information about scalp conditions to support a worker's decision, but it cannot see, touch, or interact with the patron, limiting real-time assistance. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | Advising patrons on medical conditions requires clinical judgment, empathy, and real-time assessment of individual health situations. Current AI systems cannot reliably perform end-to-end medical diagnosis and patient counseling at equal quality to a trained professional. |
| Task automatability | claude-sonnet-5 | 1/5 | This requires physical inspection of a patron's scalp, real-time judgment, and interpersonal communication in a live salon setting, none of which current AI can perform end-to-end.dimensional |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | Medical advice—even recommending someone seek treatment—carries liability, regulatory restrictions, and often requires or benefits from a licensed professional's judgment and legal accountability. |
| Adoption barriers | claude-sonnet-5 | 3/5 | While not formally licensed medical diagnosis, shampooers are expected to recognize contagious conditions for hygiene/safety reasons and referring to a doctor requires human judgment and trust, creating moderate friction against automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | A shampooer's loaded wage for this advisory task is low, and the liability and oversight costs for AI-driven medical advice would be substantial, making automation economically unfavorable. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no viable AI substitute performing this physical, judgment-based task, so cost comparison favors the human by default. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed product reliably advises individuals on chronic or contagious scalp conditions in production settings; this requires licensed medical professionals and is outside the scope of available AI products used by salons. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed product performs in-person scalp condition assessment and patron advisement; this remains firmly outside current AI product capability. |
Treat scalp conditions and hair loss, using specialized lotions, shampoos, or equipment such as infrared lamps or vibrating equipment.
5CI 0–10 · exposure 0 · augmentation 25 · importance 4.1/5 · click for rater detail
Treat scalp conditions and hair loss, using specialized lotions, shampoos, or equipment such as infrared lamps or vibrating equipment.
5| Dimension | Model | Rating | Rationale |
|---|---|---|---|
| Sector adoption velocity | claude-haiku-4-5-20251001 | 1/5 | Shampooers operate in small, local service businesses with low digital adoption and physical presence requirements. There is no meaningful AI adoption in this sector because the core task is inherently manual and interpersonal. |
| Sector adoption velocity | claude-sonnet-5 | 1/5 | Personal care services are a low-digitization, physically-oriented sector with minimal AI/robotics adoption for hands-on treatments. |
| Augmentation potential | claude-haiku-4-5-20251001 | 2/5 | AI could provide modest assistance through pre-appointment diagnostic imaging analysis or post-treatment advice, but it offers minimal support for the hands-on application of treatments, which is the core of the task. |
| Augmentation potential | claude-sonnet-5 | 2/5 | AI could assist with diagnosing scalp conditions via image analysis or recommending treatment protocols, but it doesn't meaningfully augment the physical application process itself. |
| Task automatability | claude-haiku-4-5-20251001 | 1/5 | This task requires direct physical contact with a client's scalp and hair, assessment of skin condition via visual and tactile inspection, and hands-on application of treatments. No current AI system can physically apply lotions, operate equipment on a person, or diagnose scalp conditions through in-person examination. |
| Task automatability | claude-sonnet-5 | 1/5 | This is a hands-on physical service requiring direct touch, product application, and equipment manipulation on a client's scalp, none of which current AI systems can perform. |
| Adoption barriers | claude-haiku-4-5-20251001 | 5/5 | This task has hard barriers: it requires direct human contact with clients, involves physical manipulation of another person, and in some jurisdictions may fall under licensure requirements for cosmetology or related professions. Liability and consumer preference for human practitioners are substantial. |
| Adoption barriers | claude-sonnet-5 | 3/5 | While not heavily licensed at the federal level, many jurisdictions require cosmetology/barbering licenses for scalp treatments, and physical client contact creates practical barriers to automation. |
| Cost vs. human wage | claude-haiku-4-5-20251001 | 1/5 | AI cannot perform this task at all, making any cost comparison moot. The task requires physical presence and manual dexterity that robotics in service settings have not achieved at commercial scale. |
| Cost vs. human wage | claude-sonnet-5 | 1/5 | There is no AI substitute performing this physical task, so AI cost comparison is not applicable and effectively AI cannot deliver the output at all. |
| Technical feasibility today | claude-haiku-4-5-20251001 | 1/5 | No deployed AI product performs the physical treatment of scalp conditions or operates specialized equipment on clients. Diagnostic AI exists for some skin conditions via imaging, but the core task—hands-on therapeutic application—is not feasible with current systems. |
| Technical feasibility today | claude-sonnet-5 | 1/5 | No deployed AI product performs physical scalp treatments; this remains entirely a human manual service task. |
Related occupations — Personal Care & Service
How to read this
A high substitution score does not mean this job disappears — it means a large share of its current tasks face replacement pressure, so the mix of tasks is likely to change. High augmentation alongside substitution typically means the occupation reorganizes around the protected tasks. Wide confidence intervals mean the rater panel disagreed: treat those scores as open questions, not verdicts.
What would change this score
New model capabilities (automatability, feasibility), falling inference costs (cost ratio), regulation and licensing shifts (barriers), and measured sector adoption (velocity) all re-enter at every index release. Each release is recomputed, versioned and kept queryable — scores are claims with a date on them, not permanent labels.