Japan's AI Push Gains Momentum as Country Eyes Leadership Role in Next Era of Technology
In an effort to solidify its position at the forefront of artificial intelligence, Japan has unveiled a comprehensive regulatory and innovation agenda that sets it apart from other countries. With a focus on domestic regulation, international partnerships, workforce initiatives, and sovereign digital infrastructure, Japan's A.I. push is being spearheaded by Prime Minister Sanae Takaichi and her AI Strategic Headquarters.
The country's ambitious A.I. agenda has garnered significant attention, with major companies like Daikin, Toyota Connected, and Rakuten adopting cutting-edge models such as ChatGPT to boost data analysis, automate workflows, and build custom assistants tailored to Japan's business culture. Meanwhile, Claude, a language model developed by Anthropic, is now fully localized for Japanese users, taking into account cultural nuances, linguistic complexities, and local compliance rules.
These corporate moves align with the government's efforts to knit together various strands of A.I. policy and ensure its rapid adoption. Analysts estimate that A.I. could raise Japan's GDP by as much as 16 percent. In May, the country passed the A.I. Promotion Act, a law that frames A.I. as a national priority requiring structured oversight and rapid adoption.
As part of its strategy, Japan is strengthening ties with other countries, including India, to broaden cooperation on A.I., critical tech, digital public infrastructure, semiconductors, and cybersecurity. The government is also exploring the potential for Japanese LLMs (Large Language Models) to challenge GPT and Claude, such as Tsuzumi 2 developed by NTT Inc.
Tsuzumi 2 is a cutting-edge language model that has filled the gap between Western models and local accuracy and privacy requirements. Its developers claim that it performs on par with – or sometimes better than – larger models like GPT-5 and Claude 3.5 for Japanese-language reasoning, making it an attractive option for businesses looking to tap into Japan's vast market.
However, Japan is not stopping there; the country aims to merge quantum computing with A.I. in order to overcome raw computing power limitations that are straining data centers and electrical grids. NTT is developing optical quantum systems that operate at room temperature, which could replace traditional quantum machines and dramatically improve speed and energy efficiency.
According to Wupperman, a senior vice president of service assurance at NTT, photonics gives them an architectural advantage: light generates almost no heat, enabling quantum processing at room temperature. This makes photonic quantum systems more compatible with large-scale A.I. workloads, allowing for faster training cycles and increased productivity.
While A.I. will continue to advance faster than quantum computing in the near term, Japan's long-term goal is to create a synergy between the two technologies. Over the next five to ten years, Wupperman expects the relationship between A.I. and quantum computing to flip, with quantum becoming a force multiplier for A.I. – and A.I. helping accelerate quantum hardware design in return.
As Japan solidifies its position as a leader in A.I., it remains to be seen how this new era of technology will shape the country's economy and society.
In an effort to solidify its position at the forefront of artificial intelligence, Japan has unveiled a comprehensive regulatory and innovation agenda that sets it apart from other countries. With a focus on domestic regulation, international partnerships, workforce initiatives, and sovereign digital infrastructure, Japan's A.I. push is being spearheaded by Prime Minister Sanae Takaichi and her AI Strategic Headquarters.
The country's ambitious A.I. agenda has garnered significant attention, with major companies like Daikin, Toyota Connected, and Rakuten adopting cutting-edge models such as ChatGPT to boost data analysis, automate workflows, and build custom assistants tailored to Japan's business culture. Meanwhile, Claude, a language model developed by Anthropic, is now fully localized for Japanese users, taking into account cultural nuances, linguistic complexities, and local compliance rules.
These corporate moves align with the government's efforts to knit together various strands of A.I. policy and ensure its rapid adoption. Analysts estimate that A.I. could raise Japan's GDP by as much as 16 percent. In May, the country passed the A.I. Promotion Act, a law that frames A.I. as a national priority requiring structured oversight and rapid adoption.
As part of its strategy, Japan is strengthening ties with other countries, including India, to broaden cooperation on A.I., critical tech, digital public infrastructure, semiconductors, and cybersecurity. The government is also exploring the potential for Japanese LLMs (Large Language Models) to challenge GPT and Claude, such as Tsuzumi 2 developed by NTT Inc.
Tsuzumi 2 is a cutting-edge language model that has filled the gap between Western models and local accuracy and privacy requirements. Its developers claim that it performs on par with – or sometimes better than – larger models like GPT-5 and Claude 3.5 for Japanese-language reasoning, making it an attractive option for businesses looking to tap into Japan's vast market.
However, Japan is not stopping there; the country aims to merge quantum computing with A.I. in order to overcome raw computing power limitations that are straining data centers and electrical grids. NTT is developing optical quantum systems that operate at room temperature, which could replace traditional quantum machines and dramatically improve speed and energy efficiency.
According to Wupperman, a senior vice president of service assurance at NTT, photonics gives them an architectural advantage: light generates almost no heat, enabling quantum processing at room temperature. This makes photonic quantum systems more compatible with large-scale A.I. workloads, allowing for faster training cycles and increased productivity.
While A.I. will continue to advance faster than quantum computing in the near term, Japan's long-term goal is to create a synergy between the two technologies. Over the next five to ten years, Wupperman expects the relationship between A.I. and quantum computing to flip, with quantum becoming a force multiplier for A.I. – and A.I. helping accelerate quantum hardware design in return.
As Japan solidifies its position as a leader in A.I., it remains to be seen how this new era of technology will shape the country's economy and society.