Ranked #174 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 林業技術者
Key skills
Instructing
4.1
Active Listening
4.0
Reading Comprehension
4.0
Equipment Selection
3.9
Speaking
3.8
Monitoring
3.7
Writing
3.7
Coordination
3.6
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Administration and Management
2.2
Production and Processing
2.1
Administrative
2.1
Customer and Personal Service
1.9
Personnel and Human Resources
1.9
Biology
1.8
Geography
1.8
Sales and Marketing
1.8
What the work involves
Getting InformationDeveloping and Building TeamsCommunicating with Supervisors, Peers, or SubordinatesIdentifying Objects, Actions, and EventsEstablishing and Maintaining Interpersonal RelationshipsOrganizing, Planning, and Prioritizing WorkTraining and Teaching OthersAnalyzing Data or Information
Licenses and certifications (Japan)
林業技士
林業普及指導員
技術士（森林部門）
測量士
1級林業技能士 National license
2級林業技能士 National license
3級林業技能士 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: ★★★★☆ Demanding (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.