Will AI replace 障害者福祉施設指導専門員（生活支援員、就労支援員等）? AI replacement risk
11%
Very low
Ranked #31 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 障害者福祉施設指導専門員（生活支援員、就労支援員等）
Key skills
Active Listening
4.4
Social Perceptiveness
4.2
Service Orientation
3.9
Instructing
3.9
Speaking
3.7
Writing
3.6
Reading Comprehension
3.5
Persuasion
3.4
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Psychology
3.1
Therapy and Counseling
2.7
Sociology and Anthropology
2.4
Customer and Personal Service
2.2
Education and Training
2.2
Medicine and Dentistry
2.0
Administrative
1.9
Communications and Media
1.6
What the work involves
Communicating with Supervisors, Peers, or SubordinatesAssisting and Caring for OthersEstablishing and Maintaining Interpersonal RelationshipsIdentifying Objects, Actions, and EventsMaking Decisions and Solving ProblemsUpdating and Using Relevant KnowledgeScheduling Work and ActivitiesMonitoring Processes, Materials, or Surroundings
Important abilities
Problem SensitivityOral ComprehensionOral ExpressionWritten ExpressionDeductive ReasoningInductive Reasoning
Licenses and certifications (Japan)
社会福祉士 National license
精神保健福祉士
Related qualifications listed on job tag (names in Japanese). Some are mandatory, others recommended.
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.