Seminar titled 'Strategic Utilization of AI-Driven Cross-Border M&A' by Daisuke Imaizumi, CEO of Infra Commons Inc., to be held on Friday, May 15, 2026!!
Daisuke Imaizumi, CEO of Infra Commons Inc., will hold a seminar on May 15, 2026, exploring AI-driven cross-border M&A strategies utilizing generative AI tools like Gemini 3 Pro.
📋 Article Processing Timeline
- 📰 Published: April 6, 2026 at 22:00
- 🔍 Collected: April 6, 2026 at 13:30
- 🤖 AI Analyzed: April 21, 2026 at 05:35 (352h 4m after Collected)
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[The Capital Efficiency Revolution Pioneered by the Takaichi Administration's '17 Strategic Fields']
Strategic Utilization of AI-Driven Cross-Border M&A
~From extracting acquisition candidates via AI + Deep Research to creating scenarios for maximizing corporate value~
─────────────────────────────
[Seminar Details]
https://www.ssk21.co.jp/S0000103.php?spage=pt_26228
[Speaker]
Daisuke Imaizumi, Representative Director, Infra Commons Inc.
[Date & Time]
Friday, May 15, 2026, 1:00 PM - 3:00 PM
[How to Attend]
- Live streaming (Zoom Webinar)
- Archive streaming (Available for 2 weeks, watch as many times as you like at your convenience)
[Key Lecture Contents]
In the policy speech of the Takaichi administration, which aims for a complete exit from deflation and establishing a 'new technology nation' in the Japanese economy, a bold public-private investment roadmap for the '17 strategic fields' was presented. This shift in macroeconomic policy represents a once-in-a-lifetime opportunity for Japanese companies to establish a competitive advantage in the global market through inorganic (discontinuous) growth and to dramatically improve ROIC (Return on Invested Capital).
However, in traditional human-dependent cross-border M&A, information asymmetry and the enormous time and costs associated with sourcing were major barriers. This seminar reveals the latest practical know-how of 'AI-Driven M&A' to break through these challenges faced by corporate planning and business development departments.
Specifically, through case studies of representative companies in four national strategic fields—semiconductors, defense industry, aerospace, and biotechnology—we will explain the process of 'high-speed extraction of a long list of acquisition candidates', 'creating a short list through multifaceted filtering', and 'quantifying synergies and generating corporate value maximization scenarios' using the latest generative AI and Deep Research algorithms.
Furthermore, we will share design examples of logical and structured prompts (instructions) to draw highly accurate outputs from AI, systematically conveying methods that can be used in practical business from tomorrow.
[Target Audience]
- Executive management (CEO, CFO, CSO) of companies such as those listed on the TSE Prime Market
- Heads and practitioners in Corporate Planning, Business Development, M&A, and Corporate Strategy departments
- Those promoting new business development or capital and business alliances/acquisitions with overseas advanced technology startups
- M&A professionals such as private equity fund managers and investment bankers
1. Overview of AI-Driven Cross-Border M&A
- Why can overseas acquisition candidates be found using Gemini 3 Pro / ChatGPT 5.2 + Deep Research?
- How do you find candidates suitable for your company?
- Are there any security issues?
- Which tools should be used? What kind of prompts should be used?
- How should the corporate planning department use it and how should they propose it to the president?
2. Case Studies of 4 Fields and 4 Companies Narrowed Down from Prime Minister Takaichi's 17 Strategic Fields
From the 17 strategic fields, four areas were selected as the most important fields supporting the Japanese economy by comprehensively considering future cash flow generation capacity, competitive advantage in the global market, and the potential for discontinuous corporate value enhancement through cross-border M&A. The following four companies were selected as representative case study companies for each field.
- Semiconductors: Company R
- Defense Industry: Company M
- Aerospace: Company I
- Biotechnology: Company A
[The Capital Efficiency Revolution Pioneered by the Takaichi Administration's '17 Strategic Fields']
Strategic Utilization of AI-Driven Cross-Border M&A
~From extracting acquisition candidates via AI + Deep Research to creating scenarios for maximizing corporate value~
─────────────────────────────
[Seminar Details]
https://www.ssk21.co.jp/S0000103.php?spage=pt_26228
[Speaker]
Daisuke Imaizumi, Representative Director, Infra Commons Inc.
[Date & Time]
Friday, May 15, 2026, 1:00 PM - 3:00 PM
[How to Attend]
- Live streaming (Zoom Webinar)
- Archive streaming (Available for 2 weeks, watch as many times as you like at your convenience)
[Key Lecture Contents]
In the policy speech of the Takaichi administration, which aims for a complete exit from deflation and establishing a 'new technology nation' in the Japanese economy, a bold public-private investment roadmap for the '17 strategic fields' was presented. This shift in macroeconomic policy represents a once-in-a-lifetime opportunity for Japanese companies to establish a competitive advantage in the global market through inorganic (discontinuous) growth and to dramatically improve ROIC (Return on Invested Capital).
However, in traditional human-dependent cross-border M&A, information asymmetry and the enormous time and costs associated with sourcing were major barriers. This seminar reveals the latest practical know-how of 'AI-Driven M&A' to break through these challenges faced by corporate planning and business development departments.
Specifically, through case studies of representative companies in four national strategic fields—semiconductors, defense industry, aerospace, and biotechnology—we will explain the process of 'high-speed extraction of a long list of acquisition candidates', 'creating a short list through multifaceted filtering', and 'quantifying synergies and generating corporate value maximization scenarios' using the latest generative AI and Deep Research algorithms.
Furthermore, we will share design examples of logical and structured prompts (instructions) to draw highly accurate outputs from AI, systematically conveying methods that can be used in practical business from tomorrow.
[Target Audience]
- Executive management (CEO, CFO, CSO) of companies such as those listed on the TSE Prime Market
- Heads and practitioners in Corporate Planning, Business Development, M&A, and Corporate Strategy departments
- Those promoting new business development or capital and business alliances/acquisitions with overseas advanced technology startups
- M&A professionals such as private equity fund managers and investment bankers
1. Overview of AI-Driven Cross-Border M&A
- Why can overseas acquisition candidates be found using Gemini 3 Pro / ChatGPT 5.2 + Deep Research?
- How do you find candidates suitable for your company?
- Are there any security issues?
- Which tools should be used? What kind of prompts should be used?
- How should the corporate planning department use it and how should they propose it to the president?
2. Case Studies of 4 Fields and 4 Companies Narrowed Down from Prime Minister Takaichi's 17 Strategic Fields
From the 17 strategic fields, four areas were selected as the most important fields supporting the Japanese economy by comprehensively considering future cash flow generation capacity, competitive advantage in the global market, and the potential for discontinuous corporate value enhancement through cross-border M&A. The following four companies were selected as representative case study companies for each field.
- Semiconductors: Company R
- Defense Industry: Company M
- Aerospace: Company I
- Biotechnology: Company A