Beyond The AI Hype: What Transformation Actually Looks Like

The future of business education will not be defined by who talks most convincingly about AI. It will be defined by who succeeds in turning AI from a buzzword into a capability that prepares students for an AI-driven economy.

THE CONVERSATION EVERYONE IS HAVING

Attend almost any conference on business education today and you will hear the same message: artificial intelligence is transforming the future of learning.

The evidence appears overwhelming. Schools announce new AI initiatives almost weekly. Deans speak about AI in keynote addresses. Faculty showcase innovative classroom experiments. Marketing teams highlight AI-powered tools, certificates, and partnerships.

And the headlines often showcase the same familiar names. The same schools appear repeatedly in conference programs, media articles, and industry discussions. They have become the default examples whenever business education and AI are mentioned in the same sentence.

WHERE IS AI ACTUALLY WORKING?

Yet after dozens of conferences, hundreds of presentations, and countless panel discussions, a simple question remains surprisingly difficult to answer:

Where is AI actually transforming business schools at scale?

The question is not meant as criticism. Most institutions are still in the experimentation phase. They are testing new technologies, encouraging faculty innovation, and exploring what AI might mean for teaching and learning. That work is essential.

EXPERIMENTATION IS NOT TRANSFORMATION

But experimentation and transformation are not the same thing.

Much of what is celebrated today involves isolated initiatives. A professor redesigns a course around generative AI. A program launches an AI specialization. A school introduces a chatbot or develops a pilot project involving a few dozen students. These initiatives generate attention because they are visible and easy to communicate.

What is far less visible is the difficult work required to move from a successful pilot to institution-wide adoption.

The challenge becomes even greater because the conversation around AI in business education has become surprisingly narrow. Most discussions focus on pedagogy. We debate whether students should use ChatGPT. We discuss how assessments should evolve. We explore whether AI will strengthen or weaken the case method.

THE MISSING QUESTIONS

These are important questions.

But they are not the most important questions.

The organizations hiring today’s graduates are not treating AI as a classroom tool. They are redesigning workflows, redefining jobs, automating routine tasks, and changing how decisions are made. AI is becoming an enterprise-wide capability.

Business schools face the same challenge.

If AI is truly reshaping the future of work, then the question is no longer how to integrate AI into a handful of courses. The question is how to integrate AI into the institution itself.

How should AI influence curriculum design? How should it reshape student services, admissions, career support, executive education, research, and alumni engagement? How should schools train faculty and staff? How should they measure progress? How should they govern the use of AI across the institution?

These questions receive far less attention than the latest classroom experiment because they are considerably harder to answer.

Yet they may ultimately prove far more important.

TWO SCHOOLS ASKING THE RIGHT QUESTIONS

Among the schools attempting to tackle these questions, two institutions stand out for the breadth of their ambition: the Kogod School of Business in Washington, D.C., and NEOMA Business School in France.

Neither school would claim to have solved the AI challenge. In fact, leaders at both institutions would likely argue that they are still at the beginning of a long journey. What makes them interesting is not that they have found all the answers. It is that they have moved beyond viewing AI as a collection of experiments and begun treating it as an institutional strategy.

KOGOD’S BET ON INSTITUTIONAL ADOPTION

When Bloomberg described Kogod as the first “AI-first business school,” it would have been easy to dismiss the label as another marketing slogan.

The reality is more interesting. In early 2023, Kogod launched an intensive faculty-led strategy process focused on artificial intelligence. Rather than creating a center, a task force, or a handful of showcase initiatives, the school made a decision that many institutions still hesitate to make: AI would become a strategic priority across the entire organization.

The objective was not to create a few AI courses.

The objective was to create an AI-enabled business school.

BUILDING AI INTO EVERY LAYER

Today, every department, degree, major, and minor includes AI-integrated coursework. Every AI-designated course contains explicit AI learning objectives. More than 90% of faculty actively use AI in classroom instruction, curriculum development, or both. AI integration is measured and tracked through the school’s ongoing curriculum assessment process.

The growth has been remarkable.

In the 2023–24 academic year, Kogod offered approximately 40 courses with some level of AI integration. Two years later, that figure had increased to 142 courses. More than 80% of all courses now contain AI components, while a majority involve substantial AI integration rather than occasional exposure.

What is particularly compelling is the way Kogod has structured AI across the student lifecycle. Students begin by developing foundational AI literacy and understanding responsible AI use. As they progress through their studies, they encounter increasingly sophisticated applications tied to their disciplines. By the time they reach their capstone experiences, AI has become a tool for solving complex business challenges rather than simply a subject to be studied.

BEYOND THE CLASSROOM

The institution has backed this effort with significant investments. Six AI and machine learning faculty members have been recruited in just two years. The launch of the Institute for Applied Artificial Intelligence has created a focal point for research, pedagogy, and collaboration across the university.

What may be most impressive, however, is that AI adoption extends beyond the classroom. Faculty use AI. Administrators use AI. Professional staff use AI. AI is increasingly becoming part of the school’s operating culture rather than simply part of its curriculum.

That distinction matters because it mirrors the reality students will encounter after graduation. Organizations are not integrating AI into one department. They are attempting to integrate it across the enterprise.

Kogod is attempting to do the same.

WHY NEOMA IS INVESTING IN CAPABILITIES, NOT JUST TECHNOLOGY

Across Europe, many business schools can point to an AI initiative.

Far fewer are building the capabilities required for long-term institutional transformation.

This is where NEOMA offers an interesting perspective.

Rather than concentrating all of its efforts on a single flagship project, the school has pursued multiple initiatives simultaneously, touching pedagogy, technology, faculty development, and organizational learning.

REIMAGINING THE CASE METHOD

One of its most visible initiatives explores the combination of virtual reality and artificial intelligence to create immersive educational experiences.

For decades, business schools have relied on written cases to immerse students in complex managerial situations. Emerging technologies offer the possibility of making those situations more interactive and experiential. Instead of reading about stakeholders and decisions, students can engage with them. They can question them, challenge them, and test different approaches while experiencing the consequences of their choices.

Whether AI-enhanced immersive learning ultimately becomes mainstream remains to be seen. What matters is that institutions such as NEOMA are actively developing expertise and capabilities in this area rather than waiting for certainty before acting.

TRAINING AT SCALE

The same philosophy is visible in the school’s approach to AI literacy.

While many institutions are still discussing how best to prepare their communities for AI, NEOMA has already trained approximately 12,000 individuals in AI-related competencies. This represents a significant commitment to capability building that extends beyond a small group of enthusiasts or specialized programs.

The school’s iLearning initiatives reflect a similar vision. Rather than viewing technology-enhanced learning as a separate activity, NEOMA has integrated it into a broader strategy focused on flexibility, lifelong learning, and continuous adaptation.

A HUMAN CHALLENGE, NOT A TECHNOLOGY PROBLEM

None of these initiatives alone would justify declaring victory in the race to become an AI-enabled institution.

In fact, that may be precisely the point.

The schools making the most meaningful progress are often not the ones claiming they have solved AI. They are the ones systematically building the foundations required to evolve alongside it.

Like Kogod, NEOMA appears to understand that AI adoption is ultimately a human challenge rather than a technological one. The difficult task is not acquiring tools. It is creating the structures, skills, incentives, and culture necessary for meaningful change.

THE CONVERSATION BUSINESS SCHOOLS ARE NOT HAVING

One of the risks in today’s AI conversation is that we continue to view the technology primarily through the lens of teaching and learning.

That is understandable. Business schools exist to educate students. Faculty naturally focus on pedagogy. Yet reducing AI to a classroom discussion misses the broader transformation taking place around us.

The companies recruiting graduates are not asking whether employees know how to use ChatGPT. They are asking how AI can improve productivity, accelerate decision making, automate repetitive tasks, generate insights, and create competitive advantage.

WHAT EMPLOYERS ACTUALLY NEED

Increasingly, employers are looking for graduates who can work effectively alongside intelligent technologies. They need people who understand where AI creates value, where its limitations lie, how to challenge its outputs, and how to apply human judgment when technology alone is insufficient.

Those capabilities are not developed through a single AI course.

They are developed through repeated exposure, practical application, critical reflection, and a culture that encourages experimentation and adaptation.

This is why the conversation must move beyond whether students should use AI and toward how institutions can prepare students for a world in which AI is becoming part of nearly every profession.

The question is no longer whether graduates will encounter AI in the workplace.

The question is whether they will be ready for it.

FROM EXPERIMENTATION TO INSTITUTIONALIZATION

The first phase of AI in business education was curiosity.

The second phase was experimentation.

The third phase is institutionalization.

This phase is considerably less glamorous. It involves governance structures, faculty development, infrastructure investments, cultural change, and long-term commitment. It generates fewer headlines than a new chatbot or a pilot project, but it is where the future of business education will ultimately be decided.

THE QUESTION THAT WILL DECIDE THE WINNERS

For business schools, the future competitive advantage may not come from having the most sophisticated AI demonstration or the most impressive AI marketing campaign. It may come from being able to answer a far more practical question:

How do you make AI work consistently across an entire institution?

Kogod and NEOMA have not reached the finish line. Few schools have. But they are among a growing number of institutions that have begun asking the right question.

Because the future of business education will not be defined by who talks most convincingly about AI.

Nor will it be defined by who generates the most headlines.

It will be defined by who succeeds in preparing students for an AI-driven economy, where every profession, every industry, and every organization is being reshaped by intelligent technologies.

The schools that thrive will not simply teach students how to use AI tools. They will help them develop the judgment, adaptability, creativity, ethical awareness, and critical thinking required to work alongside those tools and lead in a world transformed by them.

Ultimately, the winners will be the institutions that move beyond showcasing AI and succeed in embedding AI into the student experience, the faculty experience, and the very fabric of the school itself.

Because in the end, AI is not the destination. Preparing students for the world that AI is creating is.