Japan's "open AI sovereignty" policy avoids technological self-sufficiency. Instead, it strategically chooses which parts of the AI stack to control domestically and which to secure through international cooperation, focusing on maintaining bargaining power and avoiding over-dependence on any single entity.
Beyond securing its own autonomy, Japan's policy focuses on becoming essential to the global AI ecosystem. By strengthening its existing advantages in key supply chain areas like semiconductors and materials, Japan aims to make the world dependent on it, thereby increasing its own bargaining power and creating mutual reliance.
After a temporary US ban on an AI model demonstrated risks even for allies, Japan didn't pivot to a purely domestic AI. Instead, it updated its policy to explicitly prioritize using multiple models from various sources, reinforcing its strategy of seeking resilience through options, not self-sufficiency.
Japan’s AI Promotion Act is intentionally light-touch, lacking penalties or risk tiers, because the country views AI as a critical solution to its severe labor shortage. Policymakers concluded that most AI-related harms are already covered by existing laws, making new, heavy-handed regulation counterproductive to adoption.
Japan practices "agile governance" by separating policy goals from implementation methods. Core objectives are codified in slow-moving laws, while the specific means to achieve them (guidelines, standards) are housed in easily updatable frameworks. This allows for rapid adaptation to technological change without constant legislative overhauls.
Japan's updated AI Basic Plan marks a strategic shift from the general goal of creating "the world's best environment" for AI to a specific focus on dominating "vertical AI" and "physical AI." This targeted industrial policy is backed by a $6 billion national investment aimed at integrating AI with Japan's hardware strengths.
Despite permissive copyright law for AI training, Japan's proposed voluntary Principal Code suggests a surprisingly strict transparency framework. It would ask developers to answer, on a work-by-work basis, if a specific piece of content was used in training—a more demanding requirement than the EU's comparable code of practice.