Classmethod Releases '2026 Japan Corporate AI Adoption Survey' Based on AI Diagnostics of 462 Companies
Classmethod Inc. has released the '2026 Japan Corporate AI Adoption Survey,' analyzing the AI usage status of Japanese companies. Data from 462 responses reveals that AI adoption has shifted from the 'consideration' phase to 'practical implementation and governance.'
📋 Article Processing Timeline
- 📰 Published: June 2, 2026 at 00:00
- 🔍 Collected: June 1, 2026 at 15:20
- 🤖 AI Analyzed: June 1, 2026 at 18:16 (2h 56m after Collected)
## Classmethod Releases '2026 Japan Corporate AI Adoption Survey' Based on AI Diagnostics of 462 Companies
Classmethod Inc. (Headquarters: Minato-ku, Tokyo; CEO: Satoshi Yokota) has released the '2026 Japan Corporate AI Adoption Survey,' summarizing the results of its 'Corporate AI Diagnostic Survey.' Based on 462 valid responses from 443 companies, it is clear that Japanese companies have moved past the discussion of 'whether to use' AI and have entered the phase of active utilization. The study reveals a clear divide based on company scale, as well as the existence of polar opposite groups that defy these trends.
AIXC (AI Experience Center) is a support organization founded in October 2025 to promote AI/AX (AI Transformation) for Japanese companies.
The report is available for free download from the dedicated page starting today. Additionally, companies that participate in an follow-up survey (10 questions, 5 minutes) by June 20, 2026, will receive a free, detailed diagnostic report (Report C) tailored to their company size and adoption pattern.
### Key Findings of the Survey
This survey highlighted the following four points:
- The discussion on 'whether to use' is over: 83.3% of companies feel a sense of crisis regarding competitors' AI adoption. 47.8% have reached Lv4-5 (production deployment) of AI utilization, rising to 62.7% among large enterprises.
- 62.1% of challenges have shifted to 'How' (utilization and governance): Issues such as governance, security, use-case selection, and data infrastructure take priority.
- Clear gaps exist by company scale: Large enterprises (avg. 80.2 points) > mid-sized enterprises (73.8 points) > small and medium-sized enterprises (64.3 points).
- However, size is not the only deciding factor: 25.3% of large enterprises remain stuck at 'individual usage,' while 18.3% of small and medium-sized enterprises are leading as 'AI+Leaders.'
### Survey Background
As corporate adoption of AI progresses, many companies lack objective ways to measure their current position. Classmethod developed the 'Corporate AI Diagnostic' to annually track the AI adoption level of Japanese companies and conducted the first iteration in April 2026. It adopts the three categories including the 'mid-sized enterprise' classification newly established by the Ministry of Economy, Trade and Industry (METI) in 2024.
Classmethod Inc. (Headquarters: Minato-ku, Tokyo; CEO: Satoshi Yokota) has released the '2026 Japan Corporate AI Adoption Survey,' summarizing the results of its 'Corporate AI Diagnostic Survey.' Based on 462 valid responses from 443 companies, it is clear that Japanese companies have moved past the discussion of 'whether to use' AI and have entered the phase of active utilization. The study reveals a clear divide based on company scale, as well as the existence of polar opposite groups that defy these trends.
AIXC (AI Experience Center) is a support organization founded in October 2025 to promote AI/AX (AI Transformation) for Japanese companies.
The report is available for free download from the dedicated page starting today. Additionally, companies that participate in an follow-up survey (10 questions, 5 minutes) by June 20, 2026, will receive a free, detailed diagnostic report (Report C) tailored to their company size and adoption pattern.
### Key Findings of the Survey
This survey highlighted the following four points:
- The discussion on 'whether to use' is over: 83.3% of companies feel a sense of crisis regarding competitors' AI adoption. 47.8% have reached Lv4-5 (production deployment) of AI utilization, rising to 62.7% among large enterprises.
- 62.1% of challenges have shifted to 'How' (utilization and governance): Issues such as governance, security, use-case selection, and data infrastructure take priority.
- Clear gaps exist by company scale: Large enterprises (avg. 80.2 points) > mid-sized enterprises (73.8 points) > small and medium-sized enterprises (64.3 points).
- However, size is not the only deciding factor: 25.3% of large enterprises remain stuck at 'individual usage,' while 18.3% of small and medium-sized enterprises are leading as 'AI+Leaders.'
### Survey Background
As corporate adoption of AI progresses, many companies lack objective ways to measure their current position. Classmethod developed the 'Corporate AI Diagnostic' to annually track the AI adoption level of Japanese companies and conducted the first iteration in April 2026. It adopts the three categories including the 'mid-sized enterprise' classification newly established by the Ministry of Economy, Trade and Industry (METI) in 2024.
FAQ
「国内企業 AI活用実態調査2026」の主な調査目的は何ですか？
日本企業のAI活用度を年次定点観測し、企業が自社の現在地を客観的に測るベンチマークとなる基準を提供することを目的としています。
日本企業のAI活用レベルについて、どのような発見がありましたか？
回答企業の83.3%が競合他社のAI活用に対し危機感を抱いており、AI活用Lv4-5（本番稼働）に到達している企業は全体で47.8%でした。大企業に限るとその比率は62.7%まで高まります。
企業がAI活用において直面している最大の課題は何ですか？
62.1%がガバナンス、セキュリティ、ユースケース選定、データ基盤整備といった「How（活用法・統治）」に関する技術的課題を挙げています。
企業規模によるAI活用に格差はありますか？
大企業（平均80.2点）、中堅企業（73.8点）、中小企業（64.3点）と明確な格差があります。ただし、大企業でも個人利用止まりの層や、中小企業でも先端的な活用層が存在し、規模だけでは決まらない側面も明らかになりました。
AI Experience Center（AIXC）とはどのような組織ですか？
2025年10月に創設された、日本企業のAI／AX（AI Transformation）化を促進するためのクラスメソッドの支援組織です。