Ranked #111 safest from AI among all Japanese 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 the MHLW job tag survey on 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 きもの着付指導員
Key skills
Active Listening
3.3
Instructing
3.2
Time Management
3.2
Speaking
3.1
Social Perceptiveness
3.0
Reading Comprehension
3.0
Learning Strategies
2.7
Coordination
2.6
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Customer and Personal Service
2.3
English Language
1.4
Education and Training
1.3
Communications and Media
1.3
Sales and Marketing
1.2
Fine Arts
1.2
Psychology
1.1
Sociology and Anthropology
1.0
What the work involves
Establishing and Maintaining Interpersonal RelationshipsUpdating and Using Relevant KnowledgeTraining and Teaching OthersPerforming General Physical ActivitiesCoordinating the Work and Activities of OthersPerforming for or Working Directly with the PublicGuiding, Directing, and Motivating SubordinatesDeveloping Objectives and Strategies
Licenses and certifications (Japan)
1級着付け技能士 National license
2級着付け技能士 National license
Related qualifications listed on job tag (names in Japanese). Some are mandatory, others recommended.
Education of workers
Training before entry
Related work experience
Difficulty of entry: ★★★☆☆ Moderate (from education, training, experience, licenses)
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: Basic Survey on Wage Structure (2025), Population Census and Hello Work employment statistics as published on the MHLW job tag site (retrieved Nov 1, 2026); Occupational Information Database (JILPT). Pay ranges, projections and scores are Shigoto Zukan estimates.