Japan’s real estate and urban development sector is making a bold move into generative AI. On December 22, Mitsui Fudosan announced it has rolled out ChatGPT Enterprise to its workforce of about two thousand employees. The rollout started on October 1. It is one of the biggest company-wide uses of generative AI by a major Japanese company so far.
The initiative is more than just launching a productivity tool. Mitsui Fudosan has chosen 150 ‘AI Promotion Leaders’ from 85 departments. They will help integrate AI into daily operations. This organized, company-wide strategy shows how Japanese firms view AI. It’s no longer just an experiment for IT teams. They view it as crucial for knowledge work, making decisions, and staying competitive over time.
ChatGPT Enterprise lets employees use generative AI securely. They can summarize, translate, create documents, generate code, and organize data. All of this happens within a strong governance framework. 三井不動産 thinks this initiative might cut working time by over ten percent. This could boost productivity in an economy facing labor shortages and rising operational complexity.
A key part of the rollout is the use of Custom GPTs. This lets departments create AI assistants designed for specific tasks. In just three months, about five hundred assistants have been created and used. These tools assist in getting property information, summarizing data, offering accounting help, and writing press releases and internal documents. Employees now use AI systems tailored to their workflows. This change boosts both efficiency and accuracy.
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Mitsui Fudosan is creating its own AI products, going beyond standard tools. They are using their internal AI development environment for this work. One example is the “President AI Agent.” This system helps with executive thinking and gathers information. The details are still scarce, but this tool shows how the company sees AI. They view it not just as a helpful tool, but also as a key asset for guiding leadership and management decisions.
Mitsui Fudosan has made a strong investment in building internal capabilities. This helps ensure that adoption leads to real value. After the face-to-face training in November, AI Promotion Leaders started sharing real-world insights. They used Microsoft Teams. They also held optional sessions to share knowledge and discuss practical use cases. This peer-driven diffusion model addresses a key barrier to enterprise AI adoption: the gap between having AI tools and knowing how to use them effectively in daily tasks.
The implications of this move extend far beyond a single company. For Japan’s tech industry, Mitsui Fudosan’s rollout sends a strong signal that generative AI has moved into a phase of large-scale, structured enterprise adoption. Many Japanese firms were cautious about AI until recently. They worried about governance, data security, and unclear returns on investment. A high-profile deployment shows that we can solve these concerns. This can be done with strong platforms, clear leadership support, and internal training programs.
This growth will likely increase demand for enterprise AI services, secure AI infrastructure, and AI governance frameworks in Japan. Technology vendors, system integrators, and SaaS providers must offer AI solutions. These solutions need to be customizable, compliant, and fit well with existing business processes. Custom GPTs and internal AI setups show that “one-size-fits-all” tools may not meet the evolving needs of large Japanese companies.
For businesses in Japan, the overall impact is also important. Even small productivity gains of just a few percentage points can give big competitive advantages in mature fields like real estate, construction, finance, and manufacturing. Companies watching Mitsui Fudosan will feel pressure to use similar AI strategies. They need to improve efficiency and attract talent. The workforce now expects modern digital tools.
Mitsui Fudosan plans to expand AI use. They aim to tackle labor shortages, make better use of internal data, and improve management decisions. These goals match national priorities for digital transformation and sustainable growth. If done well, the company’s method could serve as a model. It would demonstrate how traditional Japanese businesses can use generative AI responsibly and effectively.
ChatGPT Enterprise at Mitsui Fudosan is more than just a tool for productivity. It marks a key moment for enterprise AI in Japan. Here, structured adoption, human-centered enablement, and strategic intent unite. This change will reshape how organizations operate, compete, and lead in a world driven by AI.

