People Shaping the Future of AI seriesThe Relentless Pursuit of “Why”: Unlocking the Intelligence of AI

Before asking what something is or how it works, Yoshihiko always returns to a more fundamental question: Why?
Born and raised in Hyogo Prefecture, Yoshihiko was the youngest of three children. As a boy, he immersed himself in soccer and set off on grand adventures in role-playing games. Math was not his favorite subject, but he loved science. Eventually, he left home to study physics at university and then at postgraduate school.
Physics can broadly be divided into two approaches: theoretical physics, which uses mathematical models to explain how the world works, and experimental physics, which tests those ideas through observation and practical experimentation. Yoshihiko chose the experimental path without hesitation.

“I was interested not only in theoretical calculations, but also in carrying out experiments, understanding what the results meant, and thinking about how they could ultimately be put to use in society.”
His habit of returning to first principles and continuing to ask questions until he was satisfied with the answer took shape during his years in the laboratory. Over time, his desire to turn academic knowledge into practical value grew stronger.

The result generated excitement across the project. Yet the experience left Yoshihiko with another question.
“With the conventional approach, it was relatively easy to see how the data had been processed. Large-scale distributed data processing was much faster, but I did not yet fully understand the logic behind the result. Part of that was simply because technology was unfamiliar to me, but at the time, it felt slightly strange.”

That experience shaped the way he began to think about infrastructure.
“Turn on a tap and water comes out. We do not question whether it will flow or whether the water is safe. In the world of AI, however, opaque logic can create a lack of trust. It is essential to build infrastructure that does not leave people with that uncertainty.”
With that belief in mind, Yoshihiko moved to Dallas, Texas, in 2019. For the first three months, he quietly went about his life while avoiding conversations in English. Then he realized that this was defeating the purpose of being there. He began initiating conversations, sharing meals and drinks with colleagues, and spending time with them outside of work.

After completing a one-year training assignment, he transitioned to a formal expatriate role in his second year. Before long, he was delivering presentations with confidence.
What began as a temporary move ultimately became seven years in the United States. In the spring of 2026, Yoshihiko returned to Japan with a broader global perspective, greater confidence in negotiations and an even deeper sense of curiosity shaped by his time in Dallas.

Putting AI-native vRAN into practice requires collaboration with a broad range of stakeholders in Japan and around the world, including communications service providers and application vendors. Although an engineer by background, Yoshihiko also works directly with stakeholders, leading negotiations and coordinating technical specifications. In that sense, he is helping to shape the wider ecosystem by listening to different perspectives, bringing together diverse expertise and continually searching for the best answer.

Yoshihiko’s work is closely aligned with the “Connected” element of Trust in AI. In this context, connectivity means more than linking devices to a network. It means enabling different AI systems and technologies to work together seamlessly, even when countless systems are operating simultaneously. It also means reducing inconsistencies and processing delays so that those systems can respond when and where they are needed. By freeing AI, including Physical AI, from the limitations of location and conventional communications infrastructure, an intelligent network creates a stronger foundation for trust.

“AI is, first and foremost, a partner for people. That is why it matters for Fujitsu to understand and build the full stack, from computing resources and networks to large language models, and to deliver trust consistently at every layer. What we provide is infrastructure that customers can rely on as they shape the future of their businesses.”
A childhood spent chasing a soccer ball with his brother. Student years spent exploring the first principles of physics at the laboratory bench. Years in Texas working to reshape the world’s communications infrastructure. Across every chapter, Yoshihiko has continued to ask “Why?” and “For what purpose?” Today, those same questions continue to guide his work, as he explores how connectivity can help create a future in which AI can be trusted.