28 Banks Aim for AI Chat-Only Personal Asset Management
Twenty-eight financial institutions are working toward commercializing a service in fiscal 2028 that allows individuals to complete personal asset management entirely through AI chat. According to Nikkei reporting, the group including Mitsubishi UFJ, Sumitomo Mitsui, and Mizuho banks plans to handle everything from consultation to product purchase through a single AI interface.
📑Table of Contents
- 28 Banks Aim for AI Chat-Only Personal Asset Management
- NISA Account Growth and Branch Limitations
- Development Schedule Toward 2028 Commercial Launch and Bank Initiatives
- Comparison of Major Banks’ and Securities Firms’ AI Asset Consultation Features
- User Benefits, Cautions, and Risks
- Frequently Asked Questions (FAQ)
- Summary
The background includes the rapid growth of NISA accounts. The number rose from 21.25 million at the end of 2023 to approximately 26.47 million by the end of March 2025, moving toward the government target of 34 million. Growth is especially strong among those in their 20s and younger, with account numbers increasing 1.33 times year-over-year.
Bank branches and call centers are struggling to keep up with the surge in inquiries. An AI chat platform capable of handling 1,000 simultaneous users across the industry is seen as the solution. The 28 institutions will share the core AI infrastructure while differentiating on product recommendations.
Hashout also notes that the real value of AI lies not in simply providing answers but in supporting the decision-making process, such as whether to continue dollar-cost averaging during market drops or calculating retirement funding needs. Investors can expect a smartphone-only experience.
NISA Account Growth and Branch Limitations
The spread of NISA has brought a sharp increase in individual investors. With the government target in sight, reaching younger generations is critical, yet traditional branch service is hitting capacity limits. Introducing an AI chat that can manage 1,000 concurrent questions offers a direct solution.
On June 25, 2026, Financial Services Agency Minister Satsuki Katayama commented on Google’s (Alphabet) provision of the latest AI models to the three megabanks, saying it should be “selected in a way that serves the national interest.” Anthropic and OpenAI are also advancing model provision to megabanks, showing that platform competition has reached the financial sector.
Banks aim to accumulate customer data through AI to improve product development and communication accuracy. The large scale of the 28-bank alliance is expected to play a key role in building trust in AI.
Development Schedule Toward 2028 Commercial Launch and Bank Initiatives
Development is scheduled to begin in earnest in July 2026. Each institution is advancing concrete efforts toward the 2028 commercial launch.
Mizuho Financial Group is developing an in-app AI asset consultation feature. Mitsubishi UFJ is exploring a ChatGPT-based account analysis service in partnership with OpenAI. Rakuten Securities plans to introduce an investment AI assistant using ChatGPT 4.1.
Daiwa Securities has already begun operating a workplace AI chat through its strategic partnership with Microsoft Japan. NTT DATA plans to provide a shared AI platform for financial institutions by the end of fiscal 2026.
These efforts aim to share a common AI foundation while allowing each institution to differentiate based on its strengths. The timeline is clear: development starts July 2026, commercial service in fiscal 2028.
Comparison of Major Banks’ and Securities Firms’ AI Asset Consultation Features
The current status of AI asset consultation features varies across institutions in terms of development stage and partners.
| Institution | AI Feature Overview | Partner / Characteristic | Status |
|---|---|---|---|
| Mizuho FG | In-app AI asset consultation | In-house development | In development |
| Mitsubishi UFJ | ChatGPT account analysis | OpenAI | Under consideration |
| Rakuten Securities | Investment AI assistant | ChatGPT 4.1 | Planned |
| Daiwa Securities | Workplace AI chat | Microsoft Japan | Already in operation |
| NTT DATA | Shared AI platform | For financial institutions | Scheduled for end of FY2026 |
Source: Nikkei (https://www.nikkei.com/article/DGXZQOUB246DY0U6A620C2000000/), Hashout (https://hashout.jp/ai/2544/) (as of June 2026)
The table shows a range from already operational services to those still in planning. The 28-bank alliance and shared infrastructure are expected to make advanced AI services accessible even to smaller institutions.
User Benefits, Cautions, and Risks
The biggest benefit for users is the ability to complete everything from consultation to transactions 24/7 via smartphone. For NISA account holders, especially younger users, this eliminates the need to visit a branch and provides support during market volatility.
A key caution is that AI-generated recommendations are reference information only; the final investment decision rests with the user. It is important to verify the reasoning and risk explanations provided by the AI.
On the risk side, concerns include AI judgment errors and security issues. While the large alliance improves credibility, a system failure could have wide-reaching impact. Institutions are strengthening security measures and clarifying accountability.
Frequently Asked Questions (FAQ)
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Summary
The initiative by 28 financial institutions to enable complete asset management via AI chat by fiscal 2028 represents a new approach to supporting investors amid NISA growth. Development has already entered a concrete phase, with differentiation based on each institution’s strengths. Users will gain significant convenience, but must understand AI limitations and make decisions responsibly. Watch the progress from the July 2026 development start through the 2028 launch.
Author
krona23
Over 20 years in the IT industry, serving as Division Head and CTO at multiple companies running large-scale web services in Japan. Experienced across Windows, iOS, Android, and web development. Currently focused on AI-native transformation. At DevGENT, sharing practical guides on AI code editors, automation tools, and LLMs in three languages.
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