AI Era: What Did Readers Truly Want to Know? The Urgency of "Judgment" Revealed in March's 23 Releases (Organizational Behavior Science®)

In March 2026, Request Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo, Representative Director: Tomoyasu Kouhata), which provides Organizational Behavior Science®, released 23 articles on the theme of changes occurring in companies and on the front lines in the AI era, based on the practices and analysis of 338,000 individuals and 980 companies, and building upon knowledge that has been gradually disclosed.

Each release has addressed various angles, such as what jobs will remain for humans in the AI era, why judgment experience is decreasing on the front lines, why judgment is concentrated among a few skilled individuals, and how to develop personnel capable of making judgments.

These 23 articles were not intended to address changes in the AI era as isolated topics. Instead, based on the practices and analysis of 338,000 individuals and 980 companies, they were disseminated as a series of interconnected themes: changes in work, the decrease in judgment experience, the concentration of judgment among skilled individuals, and the redesign of human resource development. Through the reactions to these releases, we have confirmed where readers' interests are focused.

Looking back at the release results from March, what readers truly wanted to know was not general theories about AI utilization. The themes that garnered strong reactions were those surrounding "judgment," which lies at the core of the work humans should undertake in the AI era. In particular, strong interest was shown in content related to the decrease in judgment experience, the concentration of judgment among skilled individuals, and the development of personnel capable of making judgments.

Below, we introduce the main releases that received a particularly strong response among the 23 articles released this time. Main Releases That Received a Strong Response Among the results of the 23 releases in March, the following articles garnered a particularly strong response: What these have in common is that they did not focus on general theories of AI utilization, but rather on "judgment" as work that remains for humans in the AI era, the decreasing judgment experience, the concentration of judgment among skilled individuals, and the development of personnel capable of making judgments. ・"In 82% of Companies, 'Judgment Experience' Necessary for the AI Era is Decreasing" https://prtimes.jp/main/html/rd/p/000000177.000068315.html

・"82% of Companies Report a Decrease in 'Judgment Experience' Essential for the AI Era" https://prtimes.jp/main/html/rd/p/000000177.000068315.html