Tokyo Summit
Where AI, Semiconductors, and Industrial Strategy Converge
A closed executive forum on AI, supply chains, and capital allocation
Across industries, AI is increasingly presented as a solved problem—widely adopted, operationally mature, and commercially decisive. In practice, however, most deployments remain fragmented, over-promised, or institutionally misaligned. The Tokyo Summit is convened in response to this gap between narrative and reality, bringing together senior leaders who must assess AI not as a technology trend, but as a system embedded in capital allocation, governance structures, and long-term decision-making.
In Japan, the AI question cannot be separated from semiconductor capacity, industrial supply chains, and state-backed manufacturing strategy.
This is neither a training program nor a product showcase, and it differs fundamentally from conventional academic conferences. The forum is designed as a closed, analytical setting where participants examine AI from first principles—economic constraints, statistical limits, institutional incentives, and failure modes that rarely surface in public discourse. Discussions are structured to prioritize judgment over tools, and governance over implementation, allowing participants to recalibrate strategy with a clearer understanding of what AI can—and cannot—deliver at scale.
The Tokyo Summit is structured as a focused, small-group executive forum. Sessions combine analytical briefings, moderated roundtables, and site-anchored discussions within Japan’s semiconductor and advanced manufacturing ecosystem, with regional supply chain perspective. The summit will be hosted by the Swiss Institute of Artificial Intelligence (SIAI), headquartered in Schwyz, Switzerland.
The forum is typically held in the last weeks of September, with 20–25 participants over 3–5 days in Tokyo, Japan.
Summit Takeaways
- Capital framework for AI
- Governance risk clarity
- Vendor assessment discipline
- Adoption timeline alignment
What will be offered
- Company visits with executive briefing
- Case studies in technology and financial institutions
- Executive roundtable for key AI agenda
- On the spot business guide on AI issues
Strategic Advantage
- Peer dialogue with senior decision-makers
- Cross-border governance perspective
- Confidential strategic exchange
- Access to SIAI summit network
Lecture Note
Carousel
Executive AI Forum
at a glance
INSTITUTIONAL BRIEFING
3-5 DAY EVENT
EXECUTIVE ROUNDTABLE
AI AT DECISION LEVEL
CERTIFICATE OF COMPLETION
BUSINESS ORIENTED
Tokyo Summit
CLOSED-DOOR PEER EXCHANGE AND ON-GOING SUMMIT NETWORK ACCESS
CASE STUDIES, BUSINESS APPLICATIONS, AND INSIGHTS
Zurich Summit
Since its inception, the Zurich Summit has been co-hosted with the Mathematical Data Science Association (MDSA), an independent academic body focused on methodological rigor in data science research and evaluation.
The summit forms part of SIAI’s broader institutional research program examining AI at the intersection of economic systems, regulatory frameworks, and capital markets.
Each year, the summit theme evolves to reflect emerging structural questions in AI deployment and institutional adaptation.
The Zurich Summit is an annual closed-door academic forum hosted by the Swiss Institute of Artificial Intelligence (SIAI) and co-organized with the Mathematical Data Science Association (MDSA).
The summit convenes researchers, policy experts, and institutional decision-makers to examine artificial intelligence as a structural question—embedded in capital allocation, financial stability, regulatory design, and long-term economic systems.
The event is designed as a small-cohort, discussion-oriented colloquium. Sessions prioritize analytical clarity over promotion, focusing on technical limits, institutional incentives, and governance risk.
Each Zurich Summit is organized around a central structural question at the intersection of artificial intelligence, capital allocation, and institutional governance.
Rather than treating AI as a technological product cycle, the summit examines:
- AI as a capital deployment decision
- AI within financial stability and systemic risk
- AI under regulatory and cross-border coordination constraints
- AI as infrastructure rather than application
Discussions are grounded in economic constraints, statistical limits, model risk, institutional incentives, and long-term governance exposure.
The Zurich Summit is structured as a small-cohort academic forum.
Core components typically include:
- Invited faculty presentations
- Institutional research briefings
- Moderated roundtables
- Closed-door peer exchange sessions
- Formal academic dinner discussion
Participation is by invitation or institutional nomination. Cohort size is intentionally limited to preserve depth of discussion and confidentiality.
Q&A
Executive AI Forum (Private)
Clarity on AI, before strategy becomes irreversible.
AI is increasingly discussed as if its strategic implications were already settled: budgets allocated, vendors selected, institutional commitments quietly made. Yet in many organizations, the most consequential AI decisions are taken under conditions of incomplete information, misaligned incentives, and narratives that discourage critical reassessment. Once capital, regulatory posture, or reputational exposure is locked in, reversal becomes costly—sometimes impossible.
The Executive AI Forum exists to address this moment. It provides a closed executive setting in which senior participants can evaluate AI before decisions harden into doctrine. Discussions are grounded in economic constraints, statistical limits, governance risk, and institutional realities that rarely surface in public discourse.
Rather than promoting adoption or resistance, the forum focuses on disciplined assessment—where AI genuinely alters outcomes, where it does not, and what that means for capital allocation, risk exposure, and long-term strategic positioning.
For participants responsible for strategy, investment, regulation, or organizational transformation, the value of the forum lies in recalibration. It offers a structured environment to stress-test assumptions, compare institutional perspectives, and refine decision frameworks before commitments become path-dependent.
The objective is not consensus, but sharper judgment—aligned with the responsibilities senior roles actually carry.
Participation in the Executive AI Forum is by invitation or nomination through partner institutions. Cohorts are intentionally limited in size to preserve depth of discussion and discretion.