[AI Gap] 67.3% of Section Managers Use AI for Work, While Only 25.4% of General Staff Do — A 'Reverse Pyramid' Phenomenon in Japanese Companies

Key facts

  • [AI Gap] 67.3% of Section Managers Use AI for Work, While Only 25.4% of General Staff Do — A 'Reverse Pyramid' Phenomenon in Japanese Companies
  • A survey by Surista Inc. reveals that 67.3% of section managers in Japan use AI for work, compared to only 25.4% of general staff, indicating a 'reverse pyramid' where management leads AI adoption. A 10.3x gap exists between IT managers and real estate/construction staff, highlighting a dual disparity across industries and roles.
  • Source: PR Times
  • Date: June 2, 2026

Direct answer

A survey by Surista Inc. reveals that 67.3% of section managers in Japan use AI for work, compared to only 25.4% of general staff, indicating a 'reverse pyramid' where management leads AI adoption. A 10.3x gap exists between IT managers and real estate/construction staff, highlighting a dual disparity across industries and roles.

Citation
[AI Gap] 67.3% of Section Managers Use AI for Work, While Only 25.4% of General Staff Do — A 'Reverse Pyramid' Phenomenon in Japanese Companies (June 2, 2026), PR Times
Source
PR Times
Date
June 2, 2026
A survey by Surista Inc. reveals that 67.3% of section managers in Japan use AI for work, compared to only 25.4% of general staff, indicating a 'reverse pyramid' where management leads AI adoption. A 10.3x gap exists between IT managers and real estate/construction staff, highlighting a dual disparity across industries and roles.
techNQ 51/100出典:PR Times

📋 Article Processing Timeline

  • 📰 Published: June 2, 2026 at 20:40
  • 🔍 Collected: June 2, 2026 at 11:50
  • 🤖 AI Analyzed: June 2, 2026 at 11:53 (2 min after Collected)
The image of 'young employees being the primary AI users' may be a thing of the past. A survey of 400 employees nationwide by Tokyo-based Surista Inc. found that section managers have the highest AI usage rate at 67.3%, while general staff lag at just 25.4%. This 'reverse phenomenon' is quietly spreading across Japanese organizations. Furthermore, cross-analysis by industry and role revealed a 'double gap,' with 94.1% of IT managers using AI compared to only 11.5% of medical and welfare staff.

1. AI Usage by Role (n=400): Management (56.2%), Department Heads (55.9%), Section Managers (67.3% - highest), Supervisors (57.9%), and General Staff (25.4% - lowest). It is a middle-management-led structure rather than a traditional pyramid.

2. High-Frequency Usage and Accident Rates: High-frequency usage (daily or more) is 24.5% for section managers and 8.3% for general staff. Accident rates are highest among section managers at 26.5%, compared to 8.8% for general staff, showing that deeper usage brings higher risks.

3. Industry x Role Cross-Analysis: In IT/Software/Communications, 94.1% of managers use AI vs. 50.0% of staff. In Real Estate/Construction, it is 50.0% vs. 9.1%, a 10.3x gap.

Supervisor Comment: The 67.3% figure for section managers proves that those with decision-making power and heavy workloads are actively implementing AI. Meanwhile, general staff face a 'triple wall' of not knowing how to use it, lacking permission, or seeing no need for it.

FAQ

Which job level in Japanese companies uses AI the most?

Section managers (Kacho) have the highest usage rate at 67.3%, indicating that middle management is leading the adoption.

What are the key facts in this article?

A survey by Surista Inc. reveals that 67.3% of section managers in Japan use AI for work, compared to only 25.4% of general staff, indicating a 'reverse pyramid' where management leads AI adoption. A 10.3x gap exists between IT managers and real estate/construction staff, highlighting a dual disparity across industries and roles.

What is the direct answer?

A survey by Surista Inc. reveals that 67.3% of section managers in Japan use AI for work, compared to only 25.4% of general staff, indicating a 'reverse pyramid' where management leads AI adoption. A 10.3x gap exists between IT managers and real estate/construction staff, highlighting a dual disparity across industries and roles.