Going beyond the traditional methods, what should an MBA student learn to remain relevant five years or ten years from now. The answer is already known but not sufficient as it is limited to finance, marketing, strategy, analytics, leadership and perhaps artificial intelligence. But the real question lies in underpinning the concept of integrating artificial intelligence to meet sustainability. This is where the future of business management education is. Business is no longer working in a closed loop where profit is their only objective instead it’s a combination of technology, resources, society and the environment. Artificial intelligence is changing the way organizations make decisions, while the circular economy is changing the way they think about products, resources and waste. For India, these changes are arriving at the same time. The World Economic Forum's Future of Jobs Report 2025 identifies AI and digital technologies as important forces shaping India's employment landscape through 2030. It also identifies AI and machine-learning specialists and big-data specialists among the fastest-growing job roles in the country.

According to NITI Aayog, India's e-waste generation increased from about 2.76 million tonnes in 2020 to 6.19 million tonnes in 2024 and could reach around 14 million tonnes by 2030. If technology is growing this quickly and the waste generated by technology is growing alongside it, shouldn't the people managing this transformation be educated to understand both sides?

We should teach students how to think, not just what to use

Instead of asking, "Should MBA students learn AI?", perhaps we should ask, "What should an MBA graduate be able to do with AI?" These are very different questions. A future manager should also be able to ask: Is the information reliable? What data was used? Could the recommendation be biased? What are the consequences of acting on it? Where should human judgement override an automated recommendation? And perhaps most importantly: Does this decision create value only for the company, or does it also create value for society and the environment?

Circular economy belongs to the classroom too

The second transformation is less visible but equally important. The world produced about 62 million tonnes of electronic waste in 2022, according to the United Nations' Global E-waste Monitor 2024. Only 22.3% was documented as formally collected and recycled in an environmentally sound manner. India is an important part of this story. For years, we have often thought of waste as something that needs to be removed.

India's business schools have an opportunity

India has an enormous management-education ecosystem. The Ministry of Education reported approximately 4.46 crore students enrolled in higher education in 2022–23. At the same time, India's technology and sustainability challenges are creating a natural laboratory for management education. Our e-waste challenge alone can generate dozens of management cases. So can renewable energy, electric mobility, sustainable supply chains, green finance, responsible AI and circular manufacturing. Indian business schools do not always need to look abroad for examples.

The PGDM of tomorrow

The future PGDM should not abandon the fundamentals of management. It should strengthen them. Finance should help students understand the economics of sustainable transformation. Marketing should help them understand changing consumer expectations. Operations should prepare them for intelligent and resource-efficient production. Supply chain should address circularity and resilience. Analytics should include AI-supported decision-making. Strategy should address technological and environmental disruption and leadership should include responsibility. Ultimately, the PGDM student of tomorrow will need to be more than a specialist in marketing, finance, HR, operations or any other single function. The workplace is becoming too interconnected for that. Tomorrow’s managers need to be more accountable for looking at a problem from different angles, work with technology without becoming dependent on it, understand the wider consequences of a business decision and take responsibility for the choices they make. In simple terms, they need to be problem solvers, systems thinkers, technology-enabled decision makers and responsible business leaders. Artificial intelligence may change the tools managers use. The circular economy may change the way businesses create and deliver value. But the basic purpose of management education has not changed: to help people make better decisions. For India's business schools, this is not just a challenge. It is an opportunity to prepare a generation of managers who are comfortable with both business and technology, but who also understand that every business decision has consequences beyond the balance sheet.

What You Can Do While You Are Still a PGDM Student

You don't have to wait until you get your first managerial position to start preparing for this world. Start with the basics. Become comfortable with data. You don't necessarily need to become a data scientist, but you should be able to read a dashboard, understand what the numbers are telling you and, equally important, question what they are not telling you. Use AI tools, experiment with them. Let them help you research, analyse, brainstorm and work more efficiently. But don't accept an AI-generated answer simply because it sounds convincing. Treat it as a starting point, not a final verdict. Check the facts, question the assumptions and use your own judgement. “Artificial Intelligence should be used a tool for refinement and not only confinement.”

Be dynamic as a manager and be patient as a listener. Terms such as ESG, BRSR, carbon accounting, life-cycle assessment and extended producer responsibility are no longer relevant only to sustainability specialists. They are becoming part of the vocabulary of business itself. Most importantly, choose projects that take you beyond one subject. If you are studying operations, explore how forecasting could help reduce waste. If you are interested in marketing, examine why consumers do or do not participate in product take-back programmes. If supply chain interests you, look at reverse logistics or circular sourcing. If you enjoy analytics, use data to understand resource efficiency or consumer behaviour. These experiences can teach you something that a classroom examination often cannot: how to connect different pieces of a business problem. Technical skills may help you get shortlisted. But your ability to understand trade-offs, ask difficult questions and take responsibility for your decisions is what can eventually earn you greater responsibility.

A Closing Thought

Whichever role you take whether it is in consulting, marketing, finance, operations, HR, supply chain, analytics or entrepreneurship there are a few questions worth carrying with you: What does the data really tell us? What will this decision cost people and the planet? Could these resources remain in use instead of becoming waste? And who is responsible for the outcome?

You may not always have perfect answers to these questions. In fact, you probably won't. But if you develop the habit of asking them honestly, you will approach business problems differently. You will look beyond the immediate result, think about the people affected by your decisions and consider what those decisions mean in the longer term and that, ultimately, is what good management is about. Not simply knowing more. But thinking better, deciding responsibly and being willing to own the consequences of your decisions.