Exploring Risks and Business Model Transformation in AI Data Center Design

Seminar on AI Data Center Design Risks and Business Model Transformation

On August 18, 2026, a pivotal seminar titled "AI Data Center Design Risks and Business Model Transformation" will take place, hosted by Kotaro Kuwazu, the representative of Kuwazu Research Institute and a guest professor at Ritsumeikan University's Graduate School of Management. This event promises to provide valuable insights for those involved in the rapidly evolving landscape of AI data centers.

Seminar Details

- Date and Time: August 18, 2026 (Tuesday) from 10:00 AM to 12:00 PM
- Location: SSK Seminar Room, 4th Floor, Zaimax Nishi-Shinbashi Building, 2-6-2 Nishi-Shinbashi, Minato, Tokyo, Japan
- Participation Methods:

- In-person attendance
- Live streaming (Zoom Webinar)
- Archive access for two weeks (view at your convenience)

Key Topics of Discussion

During the seminar, participants will delve into critical aspects of AI data centers, specifically focusing on:

1. Current State of the AI Data Center Market
- Understand the present dynamics and trends shaping the AI data center industry.

2. Business Models and Associated Risks of AI Data Centers
- Cooling technology challenges
- Water usage implications
- Social acceptance of AI data centers
- Investment considerations
- Regulatory impacts

3. Evaluation of Unit-Type Data Center Models
- Analysis of profit structures
- Compatibility with immersion cooling technology
- Segmentation strategies with large-scale AI data centers

4. Q&A Session and Networking
- Engage in dialogue and exchange business cards with fellow participants and experts.

Insights from Professor Kuwazu

Professor Kuwazu presents a compelling comparison of traditional hyperscale operators to dinosaurs, suggesting that their expansion strategies—enhancing air conditioning efficiency and profitability through increased floor area—could be vulnerable in today's market. As GPU heat generation rises and equipment costs surge, there is a growing unease regarding large investments in AI data centers adopting similar scales. Thus, risks associated with these developments require urgent attention.

Notably, conventional water cooling methods are projected to struggle with GPU demands within the next 5 to 10 years, raising interest in immersion cooling techniques. This shift necessitates a reevaluation of overall construction and infrastructure, prompting a more balanced approach that meets both short-term demand increases and mid-term structural redesign.

The suggestion of utilizing small-scale units that can effectively manage heat, energy, and weight issues is emerging as a realistic solution.

About SSK Research Institute

Founded on December 6, 1996, SSK Research Institute has been at the forefront of corporate seminar offerings for over 28 years, conducting approximately 500 business seminars annually. Their objective is to deliver high-level strategic management, marketing, and technology content quickly to foster business opportunities.

Participants at this seminar will gain essential insights that could redefine their strategies in the AI data center domain, particularly focusing on innovative cooling solutions and evolving business models.

For inquiries, please contact: