National Survey of 10,000 Employees Reveals AI and Human Resource Investment Alone Don't Boost Engagement
Agile HR Co., Ltd. and Intage Inc. released a second report on their 2026 '4th National 10,000-Employee Engagement Survey.' While AI utilization and psychological safety strongly correlate with engagement at the individual level, no correlation was found between investment levels and engagement at the industry level. The report categorizes 16 industries into clusters and highlights the critical role of management quality.
📋 Article Processing Timeline
- 📰 Published: May 21, 2026 at 19:00
- 🔍 Collected: May 21, 2026 at 10:31
- 🤖 AI Analyzed: May 28, 2026 at 15:37 (173h 6m after Collected)
Agile HR Co., Ltd. and Intage Inc. have released an additional analysis report from their 'A&I Engagement Standard Survey,' conducted in collaboration with the University of Tokyo. This comprehensive survey included 10,576 respondents aged 15 to 79 across Japan.
### 1. Correlation Analysis at the Individual Level
The analysis confirmed a strong positive correlation between employee engagement and four factors: 'Ease of speaking (Psychological Safety),' 'Career Outlook,' 'Management involvement in human investment,' and 'AI tool opportunities.' Notably, those who felt their workplace was easier to speak in showed an engagement score of 3.45, compared to 1.84 for those who did not.
### 2. Disappearance of Correlation at the Industry Level
In contrast, when analyzed by industry averages, no clear correlation was found between the volume of 'Human Investment' or 'AI Opportunities' and engagement. This is because resource abundance depends heavily on industry characteristics rather than individual company efforts.
- **Information & Communication**: Ranks top in investment, but engagement tends to be lower as individual commitment often focuses on personal growth over the organization.
- **Agriculture, Forestry & Fisheries**: Low AI opportunities, yet high engagement due to clear feelings of social contribution and tangible results.
### 3. Industry Cluster Analysis
The survey categorized 16 industries into three clusters based on their characteristics:
- **Cluster 1 (Education, Real Estate, Agriculture, etc.)**: Highest psychological safety and engagement. Potential for further growth through increased investment.
- **Cluster 2 (IT, Finance, Civil Service)**: Highest investment but medium engagement. Requires improved management quality to translate investment into engagement.
- **Cluster 3 (Manufacturing, Transport, Retail, Hospitality, etc.)**: Lowest in all metrics. Urgently needs both workload reduction and a culture that encourages open communication.
The survey suggests that simply pouring capital and technology into a business is insufficient; improving 'the quality of organizational management' tailored to specific industry traits is the key to enhancing engagement.
### 1. Correlation Analysis at the Individual Level
The analysis confirmed a strong positive correlation between employee engagement and four factors: 'Ease of speaking (Psychological Safety),' 'Career Outlook,' 'Management involvement in human investment,' and 'AI tool opportunities.' Notably, those who felt their workplace was easier to speak in showed an engagement score of 3.45, compared to 1.84 for those who did not.
### 2. Disappearance of Correlation at the Industry Level
In contrast, when analyzed by industry averages, no clear correlation was found between the volume of 'Human Investment' or 'AI Opportunities' and engagement. This is because resource abundance depends heavily on industry characteristics rather than individual company efforts.
- **Information & Communication**: Ranks top in investment, but engagement tends to be lower as individual commitment often focuses on personal growth over the organization.
- **Agriculture, Forestry & Fisheries**: Low AI opportunities, yet high engagement due to clear feelings of social contribution and tangible results.
### 3. Industry Cluster Analysis
The survey categorized 16 industries into three clusters based on their characteristics:
- **Cluster 1 (Education, Real Estate, Agriculture, etc.)**: Highest psychological safety and engagement. Potential for further growth through increased investment.
- **Cluster 2 (IT, Finance, Civil Service)**: Highest investment but medium engagement. Requires improved management quality to translate investment into engagement.
- **Cluster 3 (Manufacturing, Transport, Retail, Hospitality, etc.)**: Lowest in all metrics. Urgently needs both workload reduction and a culture that encourages open communication.
The survey suggests that simply pouring capital and technology into a business is insufficient; improving 'the quality of organizational management' tailored to specific industry traits is the key to enhancing engagement.
FAQ
「A&Iエンゲージメント標準調査」とはどのような調査ですか？
株式会社アジャイルHRと株式会社インテージが共同開発し、東京大学と共同研究を行った、全国の従業員を対象とした大規模なエンゲージメント調査です。
個人レベルでの分析でエンゲージメントと相関が見られた要素は何ですか？
「発言のしやすさ（心理的安全性）」「キャリア展望」「人材投資への経営陣の関与」「AIツール活用機会」の4要素すべてにおいて、肯定的な層ほどエンゲージメントが高い強い正の相関が確認されました。
なぜ業種別分析では「AI・人材投資」とエンゲージメントの相関が消えるのですか？
AI活用や人材投資の豊富さは業種特性に大きく依存するためです。投資は多いがエンゲージメントが伸びにくい業種（情報通信等）と、投資は少ないがエンゲージメントが高い業種（農業等）が混在し、相関が打ち消される結果となりました。
クラスター分析による3つの分類とは何ですか？
1.エンゲージメントと心理的安全性が高いグループ（教育・農業等）、2.投資は最大だがエンゲージメントは中程度のグループ（IT・金融等）、3.全指標が低いグループ（製造・小売等）の3つです。
エンゲージメント向上のための共通の課題は何ですか？
単なる投資（AIや資金）だけでなく、業種ごとの特性を考慮した「組織マネジメントの質や組織風土」の改善が不可欠であるという点です。