Vibe Coding @ CBS

By Columbia Business School

AI TechnologyBusiness EducationAgentic AIMBA Programs
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Agentic AI: Disruption and the Need for Technical Understanding in MBA Programs

Key Concepts: Agentic AI, Inflection Point, Disruption, Technical Understanding, Playbooks, Coding Proficiency.

This discussion centers on the transformative impact of agentic AI and the critical need for MBA programs to equip students with both broad business understanding and technical proficiency in this rapidly evolving field. The speaker asserts we are at a “major inflection point” in the industry, signifying a fundamental shift rather than a temporary fluctuation.

The Scale of Disruption

The core argument is that agentic AI isn’t a fleeting trend; it represents a disruption on par with the advent of the internet. This isn’t merely a prediction, but an observation of ongoing changes. The speaker states, “It is clear that agentic AI is going to disrupt every playbook possible. It’s already doing so and it is here to stay.” This emphasizes the immediacy and pervasiveness of the impact. The term “playbook” refers to established strategies and operational procedures within businesses, which are now becoming obsolete or requiring significant revision due to agentic AI.

The Importance of “Under the Hood” Understanding

A key point is the necessity for a deep understanding of the underlying technologies driving agentic AI. The speaker stresses, “It is super important to understand what’s actually happening under the hood with all these technologies.” This goes beyond simply knowing that agentic AI exists; it requires comprehension of how it functions. This understanding is crucial for effective strategic decision-making and innovation.

Columbia Business School’s Approach

The speaker highlights Columbia Business School as an example of an institution proactively addressing this need. They specifically commend the school’s commitment to keeping students “super up to date with all the latest and greatest in terms of the actual technologies.” A concrete example provided is the inclusion of a “coding class” within the curriculum. The speaker’s ability to “actually show code” during an agentic AI workshop demonstrates a practical, hands-on approach to learning. This suggests a move away from purely theoretical discussions towards practical application and technical skill development.

Agentic AI Defined (Implicitly)

While not explicitly defined, “agentic AI” is presented as AI systems capable of autonomous action and decision-making, going beyond simple task execution. The ability to “show code” implies a focus on the development and manipulation of these systems, rather than just their application.

Logical Connections & Synthesis

The argument flows logically from the assertion of a major industry shift (inflection point) to the necessity of a new skillset for future business leaders (technical understanding). The example of Columbia Business School serves as evidence that some institutions are recognizing and responding to this need. The overall takeaway is that MBA programs must evolve to incorporate technical training alongside traditional business education to prepare students for a future profoundly shaped by agentic AI.

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