#Japan #Generative AI #Tokyo #Real Estate #Arsaga Partners

Understanding the Current Landscape of Generative AI in Real Estate

The implementation of Generative AI in the real estate sector has been a hot topic recently. Arsaga Partners Co., Ltd., based in Shibuya, Tokyo, conducted a survey with 212 business people in the real estate industry to assess the current state of Generative AI utilization. The findings, based on data collected between July 22 and July 29, 2025, reveal significant insights into how professionals view and use this technology.

Key Findings from the Survey

The survey results indicate a notable divide within the industry: nearly 40% of respondents have actively engaged with Generative AI in their work, while a similar percentage (39.8%) expressed complete disinterest in the technology. This polarization highlights varying attitudes towards AI, particularly between different roles such as sales and administrative functions.

Breakdown of Utilization

• - Active Utilization: 9% reported actively using AI tools in their work.
• - Partial Utilization: 24.6% said they incorporate Generative AI to some extent.
• - Experimental Use: 7.1% have made trial implementations.
• - Interested but Not Using: 19.4% are curious but not currently utilizing it.
• - Lack of Interest: 39.8% have no interest or usage of Generative AI.

These findings underscore a crucial observation: while some professionals are leveraging AI effectively, a considerable portion of the workforce remains unaware or uninterested in its possibilities.

Differing Perspectives Among Roles

The survey examined responses gathered from different job functions, particularly focusing on sales (72 respondents) and administrative roles (98 respondents). Here are the specifics:

Sales Roles

• - Actively utilizing AI: 18.1%
• - Some utilization: 20.8%
• - Experimental use: 11.1%
• - Interested but not using: 18.1%
• - No interest: 31.9%

Administrative Roles

• - Actively utilizing AI: 4.1%
• - Some utilization: 26.5%
• - Experimental use: 3.1%
• - Interested but not using: 18.4%
• - No interest: 48.0%

The results reveal that approximately 50% of sales professionals are engaging with Generative AI, while about 70% of administrative staff report disinterest or non-usage. This disparity raises questions about the perceived benefits of AI in different functions.

Scope of Generative AI Usage

Respondents who do utilize AI were asked to identify specific areas where they apply these tools. The responses illustrated varied applications in real estate tasks, including:

• - Content Creation & Summarization: 64% of respondents used Generative AI for drafting documents and summarizing information.
• - Idea Generation: 36% utilized it for brainstorming sessions.
• - Data Analysis: 33.7% employed AI for analytical predictions.
• - Content Development: 18.6% for article creation.
• - Translation & Multilingual Support: 15.1% used AI for bilingual needs.
• - Media Editing: Also at 15.1%, respondents incorporated AI in generating images and videos.

Given the high demand for language-based tasks in real estate, including writing client reports and drafting contracts, AI's capabilities lead to improved efficiency and accuracy, helping professionals save time and enhance presentation quality.

Expectations from Generative AI

The survey also explored future expectations of Generative AI among the respondents. The overwhelming majority anticipate the following outcomes:

• - Improved Efficiency: 45.5% expect further enhancements in workflow efficiency.
• - Quality of Ideas and Solutions: 21.3% anticipate higher quality in creative proposals.
• - Skill Development: 16.6% see potential for individual skill improvement.
• - New Value Creation: 16.1% hope for innovative services stemming from this technology.

Respondents express not only expectations for efficiency but also a desire for creativity and growth, indicating a shift in mindset regarding the role of AI in enhancing productivity and skills.

Perceptions of AI Utilization and Challenges

Despite the positive outlook from many, there remains a sizeable group of professionals (42.9%) who are not engaging with Generative AI, citing lack of concrete knowledge about its practical applications as the primary barrier. Concerns about security, integration with existing systems, and a lack of skills for implementation further hinder acceptance of generative technologies.

Security Concerns

One significant difference emerged among job roles regarding concerns related to AI implementation. Notably, 25.5% of administrative roles expressed fear of security breaches, while sales roles showed no concerns in this area. This discrepancy highlights the sensitive nature of information handled by administrative staff in real estate transactions, demanding a cautious approach to AI adoption.

The Path Forward

In conclusion, while Generative AI is making headway in the real estate sector, larger systemic barriers need addressing to optimize utilization. According to Shunsuke Kubota, a senior manager at Arsaga Partners, ensuring that employees not only use but also adeptly manage AI tools will be crucial as the industry faces evolving demands. The future of AI in real estate hinges on constructing a practical framework for education, knowledge sharing, and security protocols that can enhance the overall confidence in these technologies. Building trust and understanding within the workforce is pivotal for AI's integration into real estate practices. By providing tailored training and ensuring all staff members are equipped with actionable insights, agencies can better harness the power of Generative AI, paving the way for transformational change in this dynamic industry.

Final Thoughts

The survey highlights both optimism and challenges in adopting Generative AI in the real estate sector. As interest grows, the need for training, security, and a well-defined implementation strategy will shape the opportunities for businesses to maximize efficiency and creativity in their operations. Arsaga Partners aims to contribute actively to creating effective AI environments in the industry, facilitating a transformation that embraces technological advancements while addressing valid concerns.