Ranked #319 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 土木設計技術者
Key skills
Reading Comprehension
5.3
Writing
5.0
Active Listening
4.8
Speaking
4.7
Mathematics
4.7
Operations Analysis
4.7
Coordination
4.3
Monitoring
4.3
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
Design
3.8
Building and Construction
3.5
Engineering and Technology
3.0
Mathematics
2.8
Physics
2.4
Administrative
2.2
Computers and Electronics
2.1
Geography
2.1
What the work involves
Estimating the Quantifiable Characteristics of Products, Events, or InformationOrganizing, Planning, and Prioritizing WorkWorking with ComputersEvaluating Information to Determine Compliance with StandardsCommunicating with People Outside the OrganizationMaking Decisions and Solving ProblemsUpdating and Using Relevant KnowledgeInterpreting the Meaning of Information for Others
Important abilities
Oral ExpressionWritten ExpressionMathematical ReasoningProblem SensitivityWritten ComprehensionFluency of Ideas
Licenses and certifications (Japan)
技術士（建設部門）
１級土木施工管理技士
２級土木施工管理技士
１級土木施工管理技士補
２級土木施工管理技士補
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: ★★★★★ Hard to enter (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.