Ranked #6 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 造園工
Key skills
Active Listening
3.6
Equipment Selection
3.4
Speaking
3.4
Instructing
3.2
Reading Comprehension
3.0
Repairing
2.8
Coordination
2.8
Time Management
2.7
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Mechanical
1.2
Customer and Personal Service
1.1
Building and Construction
1.1
Biology
0.9
Administrative
0.9
Public Safety and Security
0.8
Geography
0.8
Personnel and Human Resources
0.8
What the work involves
Organizing, Planning, and Prioritizing WorkPerforming General Physical ActivitiesHandling and Moving ObjectsScheduling Work and ActivitiesEstablishing and Maintaining Interpersonal RelationshipsUpdating and Using Relevant KnowledgeInspecting Equipment, Structures, or MaterialsCommunicating with Supervisors, Peers, or Subordinates
Important abilities
Problem SensitivityGross Body EquilibriumStaminaStatic StrengthFinger DexteritySelective Attention
Licenses and certifications (Japan)
1級造園技能士 National license
2級造園技能士 National license
3級造園技能士 National license
1級造園施工管理技士
2級造園施工管理技士
造園施工管理技士補
玉掛技能講習
小型移動式クレーン運転技能講習
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.