Executive AI Forum in Swiss
Where AI, capital, and institutional judgment converge
A closed forum on AI, capital, and institutional power
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 Executive AI Forum in Zurich 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.
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 Zurich forum is organized around two complementary tracks: the Council Track and the Executive Track. While distinct in format and depth, both tracks engage with the same core questions at the intersection of AI, capital, and institutional judgment. Typical event schedule is the 1st and 2nd week of June, respectively.
Council track
The Council Track is designed for participants engaged in AI at the level of institutional design, regulatory coordination, and long-term economic governance.
Discussions operate at a depth comparable to senior forums within research universities, central banking institutions, and multilateral organizations, where AI is evaluated not as a tool, but as a structural force shaping capital flows, policy boundaries, and institutional credibility. Sessions emphasize rigorous debate, cross-institutional perspectives, and first-principles reasoning, and are conducted under conditions of discretion appropriate to their scope.
Selected Council Track participants are invited to SIAI’s annual Gulf retreat in Saadiyat, UAE in December
Executive track
The Executive Track is structured as a guided exposure to real-world AI deployment across institutional and industrial contexts.
Similar in spirit to executive inspection programs used in advanced manufacturing and infrastructure policy, the track emphasizes observation, contextual explanation, and strategic interpretation rather than technical instruction. Participants engage with AI systems as they exist in practice—through briefings, site-anchored discussions, and applied case perspectives—developing the ability to assess claims, risks, and operational reality at the level of executive decision-making.
The two tracks differ in depth and format, but share a common focus on AI as a system of governance, capital allocation, and institutional responsibility.
Lecture Note
Carousel
Executive AI Track
at a glance
COUNCIL TRACK
3-5 DAY EVENT
EXECUTIVE TRACK
AI AT CONTROL LEVEL
CONFERENCE TRACK
BUSINESS ORIENTED
Zurich event
COUNCIL TRACK FOR INTELLIGENT MEETINGS AND CONTINUED FRIENDSHIP
EXECUTIVE TRACK FOR CASE STUDIES, BUSINESS APPLICATIONS, AND INSIGHTS
MBA in AI & Big Data
- 3-hour Video-recorded classes per week (Required)
- 1-hour support sessions per week (Selective)
- Final exam / term paper 1-week after the end of the course
- Total 12 courses, 2 courses for 1 term
- 1 term for 8 weeks
Class module : Online only
Credit : 90 ECTS / (Level / EQF 7)
Required documents
- Bachelor diploma and transcript (mandatory)
- Graduate school diploma and transcript (if applicable)
- Statement of Purpose
1 Year for 12 courses
1 Term for 8 weeks with 2 courses
Prep classes are available
- LaTeX for assignments and paper writing
- Programming prep for Python
Requirement for graduation
- Coursework: 60 ECTS (12 courses)
- Dissertation: 30 ECTS
- Technical track: 20,000 words or above and technical interpretation of the topic
- Business track: Case study equivalent to tech track's dissertation
- Application fee : CHF 200.- (Non-refundable)
- Administration fee : CHF 2,000.- (Non-refundable)
- Courses : CHF 3,000 per course
– 2 courses per term (Bi-monthly payment)
– 1 course for 5 ECTS*
Graduation requirements
- Coursework – 60 ECTS* wth average 60% or above
- Dissertation – 30 ECTS*
- Tech track: 20,000 words academic essay or equivalent mathematical/programing application
- Biz track: Case study equivalent to tech track's dissertation
- 6 months support course (CHF 6,000)
*ECTS – European Credit Transfer and Accumulation System
Scholarship
- If 70% or above in admission examination
- RA/TA opportunities
- No official admission examination
- Following documents will be thoroughly reviewed
- Statement of Purpose
- Undergraduate transcript
Please note that if you have not done any STEM education during your undergraduate or even in graduate studies, we recommend you to try MBA AI programs' business track. Even if you have applied for tech track, if no record of mathematical training is found, the offer letter will be given to biz track.
For non-native English speakers, should meet one of the following criteria by graduation
- High school or University level diploma from an all-English program
- TOEFL iBT 100/120 or above (with each section at least 21/30)
- IELTS 7 or above (with each section at least 6.5/9)
- Pass grade from SIAI’s internal English course
Internal English course
- Course fee: CHF800
- Course schedule
- July~Aug (8 weeks)
- Live session
- 3 hours per week (usually weekend)
Q&A
Executive AI Forum (Private)
Clarity on AI, before strategy becomes irreversible.
AI is now discussed as if its strategic implications were already understood: budgets allocated, vendors selected, and institutional commitments quietly made. Yet for many organizations, the most consequential decisions around AI are being taken under conditions of incomplete information, misaligned incentives, and public narratives that discourage honest reassessment. Once capital, regulation, or reputation is committed, reversing course becomes costly—sometimes impossible
The Executive AI Forum exists to address this moment. It provides a closed setting in which senior participants can examine AI before decisions harden into doctrine. Discussions are grounded in economic constraints, statistical limits, and institutional realities that rarely appear in public forums. Rather than promoting adoption or resisting it, the forum focuses on understanding where AI genuinely changes outcomes—and where it does not.
For participants responsible for long-term strategy, capital allocation, or policy design, the value of the forum lies in recalibration. It offers a rare opportunity to stress-test assumptions, compare institutional perspectives, and regain strategic clarity before commitments become path-dependent. The result is not consensus, but sharper judgment—aligned with the responsibilities that senior roles actually carry.
Participation in the Executive AI Forum is by invitation only, or through nomination by partner institutions.