MBA has long been considered a gateway to leadership roles, but the skills required for leadership are rapidly evolving. Decision-making in modern management has moved beyond intuition and legacy models; they are using artificial intelligence (AI), data analysis, and automated systems as the primary means of developing strategy, performing operations, and interacting with customers. As a result, management education is also changing, leading to a fundamental question for that MBA candidate and their family: Is a traditional MBA degree sufficient, or will an AI-tech Inclusive MBA be better suited for the future?
The answer is not to choose one over the other but to understand how AI-enforced MBA programs have a greater alignment with what businesses currently expect from their leaders.
Businesses will Expect More than Just Management Skills
With an increase of more than 75% year over year in AI-related job postings from 2024 compared to the prior years, there has been a significant change in the industries where these AI-driven jobs exist as well. Many of the employees who will be involved with an AI-related job will not be engineers or IT specialists, but rather managers (i.e., marketing, product management, human resources, operations, and consulting), all of whom will be required to interpret the AI’s business and make data-driven choices.
Industry reports indicate that there is currently a 34% shortage of AI-ready managerial talent, demonstrating the increasing need for professionals to be able to create connections between business strategy and technology. An increasing demand for AI literacy means it is no longer just an added technical capability but will now be expected of leaders.
How an MBA with AI Expands Business Education
An MBA in AI adds to the traditional management education by incorporating artificial intelligence, big data, and automation into the core management disciplines. The students are no longer limited to case studies but are exposed to real-time data, predictions, and simulations using AI, learning how machine learning can improve forecasting, automation can optimize supply chains, and personalization can improve customer experience.
In a structured AI-integrated MBA program, this transition is facilitated by the presence of robust foundational pillars, commonly known as the Super 6 AI Foundations, which comprise:
⦁ Fundamentals of AI & Business Statistics
⦁ AI Ethics and Governance
⦁ AI Programming with Python
⦁ AI Tools & Prompt Engineering
⦁ Entrepreneurial Opportunities with AI
⦁ Business Analytics with AI
These foundations ensure that the students not only learn management theories but are also exposed to the practical aspects of how AI tools are developed, governed, and used in a real-world business setup.
Bridging Academia and Industry Through Applied Learning
The distinguishing factor of AI-tech inclusive MBA programs is that they address actual corporate problems. By using a Collaborative Multi-disciplinary Approach towards Problem Solving (CMAPS), students are able to address complex industry problems, getting actual experience and developing innovative AI-enabled solutions.
The programs also use an Experiential Learning Andragogy approach, incorporating actual decision-making, simulations, and competitions such as the 50-hour Case Blazer, global immersions, CEO workshops, and industry mentoring. This leads to enhanced analytical skills, leadership skills, flexibility, and business acumen for an AI-driven economy.
The Importance of AI in MBA Programs for Career Security
Job security is a major concern for working professionals and parents. As the adoption of AI increases across various sectors, jobs that are not linked to technology are more likely to be affected. Working professionals are increasingly taking up short-term AI courses to remain relevant in the market, but these courses are merely adding to their skill set without changing their thought process.
An MBA with AI, on the other hand, integrates technology as a component of business decision-making itself and teaches students to apply AI strategically, as opposed to tactically. This makes them more agile and future-ready.
In the long run, individual with expertise in Digital Transformation, like AI Consulting, Data-Driven Marketing, Intelligent Operations, and Strategic Planning will be best positioned for success.
Responsible Leadership in an AI World
AI-related MBAs also focus on the importance of Responsible Leadership. With the increasing adoption of AI, concerns about data privacy, bias, ethics, and security are also increasing. Businesses need leaders who not only adopt AI but also apply it responsibly.
An MBA with AI teaches students about ethics, laws, and risk management, which enables them to make well-rounded and responsible decisions and stay informed about the possibilities and limitations of AI.
The Future-Oriented Decision
The decision between a conventional MBA and an MBA in Artificial Intelligence is more about being in sync with the future of work. Executives who grasp the role of technology in business strategy will have better job security and prospects. In an AI-powered economy, an MBA that combines artificial intelligence is relevant and strategic; the danger is in being static while the world moves ahead.
(This article is written by Tarun Anand, Founder & Chancellor, Universal Ai University (Graduate of SPJIMR, Fmr. MD, Thomson Reuters)
