Ranked #370 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 非鉄金属製錬技術者
Key skills
Instructing
3.6
Active Listening
3.5
Equipment Selection
3.5
Reading Comprehension
3.5
Speaking
3.4
Writing
3.3
Persuasion
3.2
Operation and Control
3.2
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Production and Processing
2.5
Mechanical
1.9
Engineering and Technology
1.6
Mathematics
1.5
Chemistry
1.4
Physics
1.3
Administrative
1.1
Customer and Personal Service
1.1
What the work involves
Inspecting Equipment, Structures, or MaterialsIdentifying Objects, Actions, and EventsJudging the Qualities of Objects, Services, or PeopleRepairing and Maintaining Mechanical EquipmentEvaluating Information to Determine Compliance with StandardsCommunicating with Supervisors, Peers, or SubordinatesScheduling Work and ActivitiesMonitoring Processes, Materials, or Surroundings
Important abilities
Problem SensitivityMemorizationFluency of IdeasManual DexterityFinger DexterityStamina
Licenses and certifications (Japan)
公害防止管理者
エネルギー管理士
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.