Will AI replace 機械設計技術者?AI replacement risk 62% and how the work is changing
Average annual pay
¥6.59M
≈ $41,910
Top pay (est.)
¥11.70M
Top 10% ¥10.00M
Pay in 5 years
¥7.35Mest.
2031
Pay in 10 years
¥8.20Mest.
¥7.05M–¥9.51M
Outlook score
56/100
★★★☆☆ Average
AI replacement risk
62%
High
Labor demand
High
Openings-to-applicants 1.88x
Will AI replace 機械設計技術者? AI replacement risk
62%
High
Ranked #385 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 機械設計技術者
Key skills
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
What the work involves
Making Decisions and Solving ProblemsOrganizing, Planning, and Prioritizing WorkEvaluating Information to Determine Compliance with StandardsUpdating and Using Relevant KnowledgeThinking CreativelyDrafting, Laying Out, and Specifying Technical Devices, Parts, and EquipmentScheduling Work and ActivitiesDeveloping Objectives and Strategies
Important abilities
Problem SensitivityFluency of IdeasDeductive ReasoningOriginalityInductive ReasoningMathematical Reasoning
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.