In the AI Era, What Did Readers Really Want to Know? The Urgency of 'Decision-Making' Revealed by 23 March Press Releases (Organizational Behavior Science®)

In March 2026, Request Co., Ltd. (Headquarters: Shinjuku, Tokyo; Representative Director: Tomoyasu Kabata), a provider of Organizational Behavior Science®, released 23 press releases themed around the changes occurring within companies and on the front lines during the AI era. These releases were based on the practical experience and analysis of 338,000 individuals across 980 companies, building upon insights shared incrementally in the past.

Each release explored various angles of the AI era: what work remains for humans, why decision-making experience is declining on the front lines, why decision-making is becoming concentrated among a few experts, and how to develop personnel capable of making decisions.

Rather than presenting these changes as isolated issues, these 23 releases synthesized the transformation of work, the decline in decision-making experience, the concentration of expertise, and the redesign of talent development into a cohesive theme, allowing us to gauge where reader interest truly lies through their response. Reflecting on the results from March, what readers really wanted to know was: Not general theories on AI utilization. The topics that generated the strongest response were those centered on: 'Decision-making' as the core of the work humans should perform in the AI era. In particular, there was intense interest in content regarding the decline in decision-making experience, the concentration of tasks among experts, and the development of talent capable of making decisions. Below are the primary releases from the 23 issued that garnered the most significant response. Key Releases with Significant Response Among the 23 releases in March, the following topics saw the strongest engagement. The common thread is that they did not focus on general AI usage, but rather on 'decision-making' as work that remains for humans in the AI era, the decline in decision-making experience, the concentration of tasks among experts, and the cultivation of decision-making talent. ・'82% of Companies See a Decline in "Decision-Making Experience" Necessary for the AI Era' https://prtimes.jp/main/html/rd/p/000000177.000068315.html