Will AI replace 土木・建築工学研究者?AI replacement risk 59% and how the work is changing
Average annual pay
¥8.02M
≈ $51,002
Top pay (est.)
¥14.89M
Top 10% ¥12.60M
Pay in 5 years
¥8.34Mest.
2031
Pay in 10 years
¥8.67Mest.
¥7.46M–¥10.07M
Outlook score
38/100
★★☆☆☆ Below average
AI replacement risk
59%
Moderate
Labor demand
Very low
Openings-to-applicants 0.22x
Will AI replace 土木・建築工学研究者? AI replacement risk
59%
Moderate
Ranked #363 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・建築工学研究者
Key skills
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
What the work involves
Thinking CreativelyMaking Decisions and Solving ProblemsUpdating and Using Relevant KnowledgeGetting InformationIdentifying Objects, Actions, and EventsAnalyzing Data or InformationCommunicating with People Outside the OrganizationMonitoring Processes, Materials, or Surroundings
Important abilities
Written ExpressionOral ExpressionWritten ComprehensionDeductive ReasoningProblem SensitivityFluency of Ideas
Licenses and certifications (Japan)
No specific license or certification is required.
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.