From Future to Now: Rethinking Entrepreneurship Education with Agentic AI

When entrepreneurship education meets cutting-edge technology, the way emerging founders learn to build ventures fundamentally shifts. Recently, Antsomi Co-founder and Chairman Dr. Dinh Le Dat visited RMIT University Melbourne to mentor the inaugural cohort of student founders in the New Venture Creation program, hosted by Dr. Timothy Hor.

Reflecting on the experience, Dr. Dat noted that while the startups built over the 12-week program were impressive, the true standout was the underlying methodology transforming how these students learned to build.

The Rise of Agentic Learning Frameworks

During the program, Dr. Timothy Hor introduced augmenti, an Agentic AI learning platform designed around a clear division of labor: AI proposes, students decide, and every critical decision demands rigorous human reasoning.

Rather than relying on passive instruction or simple prompt-response interactions, this model marks an active shift toward adaptive, AI-augmented entrepreneurial education. With major ecosystem moves like Andreessen Horowitz launching the a16z Academy in September 2026, Dr. Dat emphasized that the future of founder education is no longer speculative—it is unfolding right now.

In rapidly moving sectors such as marketing technology (MarTech), artificial intelligence, and software, where core knowledge cycles can shift within weeks, Dr. Dat sees AI co-agents and Agentic Learning Frameworks becoming the essential baseline for education and venture creation.

Dr. Dat (pictured on the right) with Dr. Hor and other event participants.

Why MarTech Belongs at the Heart of Entrepreneurship

Drawing from nearly a decade of scaling MarTech solutions across Southeast Asia with Antsomi, Dr. Dat shared real-world venture lessons with the student teams. The engagement reinforced a critical gap often observed in early-stage ecosystems: MarTech deserves a far more prominent role in startup curriculums.

Many emerging ventures develop compelling minimum viable products (MVPs), yet struggle with the fundamentals of scalable growth:

• Customer Data Architecture: Understanding who users are and unifying touchpoints.
• Go-To-Market Execution: Developing repeatable acquisition and retention funnels.
• Engagement Engines: Nurturing long-term user relationships rather than relying on one-off spikes.

As Dr. Dat observed, engineering a solid product represents only half the entrepreneurial equation. Constructing the engine to systematically acquire, engage, and retain customers is what transforms a prototype into a viable, lasting business.

Dr. Dat coached participants on MarTech and AI-related topics at the event.

Human Judgment in an AI-Augmented World

Expressing gratitude to Dr. Timothy Hor, David Yip, and Arjun Agarwal—who shared his work Startup Fundraising Decoded: Design Principles and Tools for Entrepreneurs—Dr. Dat noted that while he arrived to mentor, he left with profound insights into where higher education is headed.

Dr. Hor (pictured right) presented his book, Startup Fundraising Decoded: Design Principles and Tools for Entrepreneurs, to Dr. Dat at the event.

As generative and agentic systems reshape modern workflows, the core takeaway from RMIT remains clear: AI transforms how we learn, but human judgment ultimately determines what we build.