The Rise of AI Search: Insights from a National Survey on Knowledge Sharing

In a recent survey by Knowledge Holdings, a company based in Tokyo, it was uncovered that approximately 76.8% of individuals between the ages of 20 and 59 have either taught or learned how to use AI search from friends and family. This significant percentage marks a turning point in the evolution of AI, where its use has expanded beyond individual applications to collective knowledge sharing among those close to us.

Survey Overview

The survey included 306 participants across Japan, focusing on people aged 20 to 59 who are regular internet users. Conducted in July 2026 via an online questionnaire, the results provide critical insights into the changing dynamics of how AI technologies are perceived and utilized in everyday life.

Key Findings

The findings of the survey suggest a strong inclination toward AI knowledge sharing. Some of the highlights include:

- Experience with AI search teaching and learning: 76.8% of respondents reported having experience in either teaching or learning how to use AI search tools. More specifically, 28.1% stated they had learned from someone else, 26.8% confirmed teaching others, and 21.9% indicated that they had engaged in mutual knowledge sharing.
- Popular topics in teaching: Among those who participated in teaching or learning, the most common subject was how to conduct searches effectively, cited by 50.2% of respondents. Techniques for asking questions, or prompts, were the second most frequent topic, at 37.5%. This observation reveals that not only are people learning to use AI, but they are also sharing strategies to enhance their queries and further optimize their search results.
- Forward-looking intentions: 74.8% of participants expressed a desire to continue these teaching and learning practices. Of those, 26.5% were eager to actively teach or learn, while 48.4% were open to the opportunity. This indicates a positive outlook and a potential for sustained collaborative learning about AI tools.

The Importance of Shared Learning

The data suggests that once individuals engage in teaching or learning about AI search, they are much more likely to continue doing so in the future. Over 80% of those with teaching experience expressed a willingness to share their knowledge again, compared to just 42.3% of those without such experience. This cycle of knowledge sharing creates what can be characterized as a 'positive feedback loop', promoting continuous engagement and growing understanding of AI technologies.

Notably, the communication about searching skills extends beyond mere functionality; rather, it incorporates the nuances of effective engagements with the AI in question. However, it's worth mentioning that only 17.5% of participants addressed the importance of verifying sources or citations, suggesting there is still a gap in understanding how to critically evaluate information derived from AI tools.

Conclusion: A New Era of AI Knowledge Sharing

This survey points toward a significant transition in the utilization of AI search technology, indicating a movement from individual tool usage to a collective sharing of knowledge with close networks. With nearly 75% of individuals expressing both experience and interest in continued sharing, this trend suggests that fundamental education regarding the safe and effective application of AI is becoming crucial for personal and professional development.

Knowledge Holdings believes that as the landscape of search behavior evolves, the importance of teaching and learning about AI will only increase. The data indicates that organizations must implement structured training programs not only to outpace competitors but also to ensure users fully maximize the potential of AI in their personal and professional lives. Establishing reliable practices for verifying information remains a critical area for improvement as well.

For those interested in enhancing their AI search skills, Knowledge Holdings offers various support services to navigate this changing landscape, focusing on both SEO strategies and the optimization of AI search usage.

For more information about our services, visit us at Knowledge Holdings.