Will AI replace 植物工場の栽培管理?AI replacement risk 27% and how the work is changing
Average annual pay
¥3.61M
≈ $22,941
Top pay (est.)
¥5.88M
Top 10% ¥5.12M
Pay in 5 years
¥4.11Mest.
2031
Pay in 10 years
¥4.68Mest.
¥4.02M–¥5.43M
Outlook score
47/100
★★☆☆☆ Average
AI replacement risk
27%
Low
Labor demand
Average
Openings-to-applicants 0.94x
Will AI replace 植物工場の栽培管理? AI replacement risk
27%
Low
Ranked #137 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 植物工場の栽培管理
Key knowledge areas
What the work involves
Identifying Objects, Actions, and EventsInspecting Equipment, Structures, or MaterialsEstablishing and Maintaining Interpersonal RelationshipsUpdating and Using Relevant KnowledgeCommunicating with Supervisors, Peers, or SubordinatesMonitoring Processes, Materials, or SurroundingsHandling and Moving ObjectsPerforming General Physical Activities
Important abilities
Problem SensitivityStaminaFluency of IdeasNear VisionMemorizationOral Comprehension
Licenses and certifications (Japan)
No specific license or certification is required.
Education of workers
Training before entry
Related work experience
Difficulty of entry: ★★☆☆☆ Fairly easy (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.