Will AI replace shampooers?AI replacement risk 10% and how the work is changing
Median annual pay
$32,600
25th–75th pct. $28,550–$35,550
Top pay (est.)
$49,700
Top 10% $38,240
Pay in 5 years
$38,500est.
2031
Pay in 10 years
$45,500est.
$39,100–$52,800
Outlook score
64/100
★★★☆☆ Average
AI replacement risk
10%
Very low
Job growth (10 yr)
+5.6%
2,200 openings / yr
Will AI replace Shampooers? AI replacement risk
10%
Very low
Ranked #33 safest from AI among all U.S. occupations
Very lowLowModerateHighVery high
How AI is changing this job
A written analysis for this occupation is being prepared.
AI replacement risk compares the parts of a job that are easy to hand to AI or software (processing information, documentation, repetitive computer work) with the parts that are hard to automate (physical work, working closely with people, judgment in unpredictable settings), using O*NET work activities, work context, skills and knowledge. The result is a relative position among all occupations in the country, scaled to 0–100%. Methodology →
Skills, education and requirements for Shampooers
Key skills
O*NET skill level ratings (0–7).
Key knowledge areas
What the work involves
Performing for or Working Directly with the PublicEstablishing and Maintaining Interpersonal RelationshipsHandling and Moving ObjectsCommunicating with Supervisors, Peers, or SubordinatesMonitoring Processes, Materials, or SurroundingsAssisting and Caring for OthersPerforming General Physical ActivitiesUpdating and Using Relevant Knowledge
Important abilities
Near VisionOral ExpressionManual DexterityTrunk StrengthFinger DexteritySpeech Recognition
Education of workers
Training before entry
Related work experience
Job Zone 2 — some preparation needed (O*NET)
Difficulty of entry: ★☆☆☆☆ Easy to enter (from education, training, experience and Job Zone)
Pay and employment figures are national statistics. Projected pay, outlook scores and AI replacement risk are estimates from the Shigoto Zukan model, not guarantees. To request a correction, use the contact form. How to read the data
Sources: BLS OEWS May 2025; BLS Employment Projections 2025–35; O*NET 31.0 Database by USDOL/ETA (CC BY 4.0), modified by Shigoto Zukan. Pay ranges, projections and scores are Shigoto Zukan estimates.