【2026年人才活用×AI營運實態調查】「Japan AIOperations Report 2026 Spring」調查報告免費公開

Mer株式會社發布了一份關於日本企業人才活用與AI營運實況的報告。該報告指出,勞動力短缺是一個無法僅靠招聘解決的結構性問題,並提倡轉向利用AI來最大化現有員工潛力的可複製營運架構。
Report AnnouncementNQ 95/100出典:PR Times

📋 文章處理履歷

  • 📰 發表: 2026年5月20日 20:00
  • 🔍 收集: 2026年5月20日 11:31
  • 🤖 AI分析完成: 2026年5月22日 17:30(收集後53小時58分鐘)
設計並建構以AI為前提的營運架構(AI Operations)的Mer株式會社,免費公開了調查日本企業人才活用與AI營運實況的「Japan AIOperations Report 2026 Spring」。本報告針對員工人數100名以上的企業中,負責業務流程、營運改善及人才管理的546名主管與承辦人員進行了全面調查。調查揭示了一個矛盾現象:雖然「調整薪資與待遇」(49.8%) 等對人的直接投資是確保人才的主要對策,但能夠將每位員工的生產力可視化的企業僅佔19.8%。此外,超過五成業務依賴特定承辦人員的「屬人化」企業高達64.9%,而需要三個月以上才能將接任者培養成戰力的企業也達到62.8%。報告闡明了「增加人力」無法解決的勞動力短缺結構,並提出了轉向「可複製的營運架構」以最大化「現有員工」能力的藍圖。

常見問題

What is the 'Japan AIOperations Report 2026 Spring'?

It is a free report published by Mer Inc. that investigates the state of human resource utilization and AI Operations in Japanese companies, based on a survey of 546 managers at companies with 100 or more employees.

What is the main problem identified in the report?

The report highlights a structural labor shortage where companies invest heavily in hiring and compensation but fail to visualize productivity. It found that 64.9% of companies suffer from high dependency on specific individuals, making processes difficult to scale or sustain.

What solution does the report propose for the labor shortage?

Instead of simply hiring more people, the report recommends a transition to a 'reproducible operational structure' that uses AI and systemization to maximize the potential and productivity of the current workforce.

What percentage of companies have operations that are highly dependent on specific employees?

According to the survey, 64.9% of companies have more than half of their business operations dependent on specific individuals, a situation known as 'zokujinka' or person-dependent processes.

Who should read this report?

The report is recommended for executives, business managers, DX (Digital Transformation) leaders, and HR personnel who are facing challenges in talent acquisition, want to resolve operational dependencies, and aim to improve company-wide productivity using AI.