OpenAI Japan CEO Tadao Nagasaki said Japanese companies are less likely than U.S. firms to prioritize AI within their top three business challenges.
This gap suggests a systemic lag in how Japanese leadership integrates generative technology into core corporate strategy, potentially hindering long-term competitiveness. While technical adoption may be rising, the failure to treat AI as a primary management priority indicates a reluctance to restructure business models around the technology.
Nagasaki said Friday, July 17, during a two-day summer seminar [1] hosted by the Japan Association of Corporate Executives. The event brought together approximately 50 top executives from major corporations [2] to discuss the current state and challenges of AI implementation.
During the discussions, Nagasaki said that the role of human oversight remains critical as AI capabilities evolve. He said that ultimately, AI should not be allowed to make final decisions. Instead, he said that the focus must shift toward developing personnel capable of making those judgments in the AI era.
Financial industry representatives at the seminar also raised concerns regarding the economic impact of scaling these tools. One participant said that while prices for new models are decreasing, the overall cost of implementation continues to rise because users are becoming more proficient and utilizing the tools more extensively.
This trend of rising costs is expected to persist, according to the participant, as deeper integration leads to higher consumption of computing resources. The seminar highlighted a dual struggle for Japanese firms: the need for a cultural shift in executive priorities, and the financial burden of scaling AI across large organizations [1].
“AI should not be allowed to make final decisions.”
The disparity in AI prioritization between the U.S. and Japan reflects a broader difference in corporate governance and risk appetite. By failing to categorize AI as a top-tier management priority, Japanese firms risk treating the technology as a mere productivity tool rather than a catalyst for structural innovation. This suggests that the primary barrier to AI adoption in Japan is not the technology itself, but a leadership gap in strategic vision and human capital development.
