Will AI replace 新聞配達員?AI replacement risk 24% and how the work is changing
Average annual pay
¥4.07M
≈ $25,852
Top pay (est.)
¥6.64M
Top 10% ¥5.78M
Pay in 5 years
¥4.57Mest.
2031
Pay in 10 years
¥5.14Mest.
¥4.42M–¥5.97M
Outlook score
48/100
★★☆☆☆ Average
AI replacement risk
24%
Low
Labor demand
Average
Openings-to-applicants 1.08x
Will AI replace 新聞配達員? AI replacement risk
24%
Low
Ranked #111 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 新聞配達員
Key skills
Skill levels from the MHLW job tag worker survey.
Key knowledge areas
What the work involves
Performing General Physical ActivitiesOperating Vehicles, Mechanized Devices, or EquipmentHandling and Moving ObjectsOrganizing, Planning, and Prioritizing WorkCommunicating with Supervisors, Peers, or SubordinatesEvaluating Information to Determine Compliance with StandardsCommunicating with People Outside the OrganizationMonitoring Processes, Materials, or Surroundings
Important abilities
StaminaStatic StrengthMemorizationReaction TimeProblem SensitivityFar Vision
Licenses and certifications (Japan)
No specific license or certification is required.
Education of workers
Training before entry
Related work experience
Difficulty of entry: ★☆☆☆☆ Easy 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.