Ranked #63 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 林業作業
Key skills
Active Listening
3.4
Equipment Selection
3.3
Instructing
3.2
Speaking
3.1
Social Perceptiveness
3.0
Coordination
3.0
Reading Comprehension
2.9
Equipment Maintenance
2.9
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Mechanical
1.4
Food Production
1.3
Production and Processing
1.1
Education and Training
0.9
Communications and Media
0.8
Biology
0.8
Transportation
0.8
Building and Construction
0.8
What the work involves
Establishing and Maintaining Interpersonal RelationshipsOperating Vehicles, Mechanized Devices, or EquipmentPerforming General Physical ActivitiesHandling and Moving ObjectsCommunicating with Supervisors, Peers, or SubordinatesOrganizing, Planning, and Prioritizing WorkRepairing and Maintaining Mechanical EquipmentCommunicating with People Outside the Organization
Important abilities
Problem SensitivityStatic StrengthGross Body EquilibriumStaminaArm-Hand SteadinessReaction Time
Licenses and certifications (Japan)
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.
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.