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 自動車板金塗装
Key skills
Repairing
4.4
Equipment Selection
4.0
Active Listening
4.0
Speaking
3.8
Quality Control Analysis
3.8
Troubleshooting
3.1
Reading Comprehension
3.1
Time Management
3.1
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Mechanical
2.3
Customer and Personal Service
2.3
Administrative
2.2
Sales and Marketing
1.9
Production and Processing
1.8
Transportation
1.7
Economics and Accounting
1.7
Engineering and Technology
1.7
What the work involves
Judging the Qualities of Objects, Services, or PeopleHandling and Moving ObjectsEvaluating Information to Determine Compliance with StandardsUpdating and Using Relevant KnowledgeOperating Vehicles, Mechanized Devices, or EquipmentMonitoring Processes, Materials, or SurroundingsOrganizing, Planning, and Prioritizing WorkInspecting Equipment, Structures, or Materials
Important abilities
Finger DexterityManual DexterityProblem SensitivityVisual Color DiscriminationSelective AttentionArm-Hand Steadiness
Licenses and certifications (Japan)
自動車車体整備士
一級小型自動車整備士
二級自動車整備士
三級自動車整備士
１級塗装技能士 National license
２級塗装技能士 National license
アーク溶接技能者（基本級）
アーク溶接技能者（専門級）
ガス溶接技能者
危険物取扱者（乙種）
有機溶剤作業主任者
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.