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【2026年人材活用×AI Operations実態調査】「Japan AIOperations Report 2026 Spring」調査レポートを無料公開

NQ スコア 95/100

AI サマリー(NQ 加工済み)

Mer Inc. has released the "Japan AIOperations Report 2026 Spring," based on a survey of 546 managers. The findings show a major disconnect: while 80% of companies feel the labor shortage and invest in hiring, only 19.8% can visualize per-employee productivity, and 64.9% have operations that are over 50% dependent on specific individuals. The report argues this structural issue requires a shift from hiring-focused strategies to building systemic, AI-driven operations.

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よくある質問

Q: What is the 'Japan AIOperations Report 2026 Spring'?
A: 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.
Q: What is the main problem identified in the report?
A: 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.
Q: What solution does the report propose for the labor shortage?
A: 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.
Q: What percentage of companies have operations that are highly dependent on specific employees?
A: 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.
Q: Who should read this report?
A: 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.