AI can do the analysis. So what exactly are MBAs being hired for now?

Artificial intelligence(AI) now performs tasks that once defined the analytical core of management education. Strategy drafts, financial models and competitive scans can now be generated in minutes.

In that context, the value proposition of an MBA is being examined more closely than at any point in recent history.The question that follows is inevitable: if machines can generate analysis at scale, what remains the role of a management degree? That debate framed discussions at the AI Impact Summit in India, which brought together policymakers and industry leaders to assess AI’s growing influence on the economy.

Against this backdrop, Jaipuria Institute of Management’s presence at the country’s largest AI convergence reflected a deliberate alignment between management education and technological transformation.Dr. Subhajyoti Ray, who moderated the discussion on the use of AI in education, framed it effectively. Technology is moving more quickly than institutional responses. However, governance and judgment remain human responsibilities. “How we use AI,” he noted during the discussion, “will determine whether it serves humanity or subjugates it.”

The implication for management education was that the future MBA cannot compete with AI on information recall.

It must compete on interpretation, synthesis, and judgement.It was this shift that Shreevats Jaipuria addressed at the summit. Knowledge, he observed, has been democratised. “If everyone has access to the same knowledge, the differentiator becomes action.” In practice, that means moving beyond the first output, asking sharper questions, and applying judgment in live situations.

Such environments demand AI-informed analysis, but human judgment determines outcomes.The AI-Ready MBA/PGDM model developed by the NIRF-ranked MBA college, Jaipuria Institute of Management, is based on this line of reasoning. The institute describes its model as AI-native yet human-centric, embedding AI across learning while retaining faculty-led accountability and mentorship. The model rests on a simple premise that technology can scale preparation, but human connection is still necessary to develop leadership.

This design reflects deliberate curriculum restructuring rather than incremental technology adoption.The institute does not treat AI as an elective or an add-on certification. It operates as embedded infrastructure. Students use proprietary tools such as Script/OneCV for resume optimisation, Rehearse for AI-driven interview simulations, Showrunner for project management, and AI-enabled workspaces for real-time client engagement.

These technologies reduce friction, freeing classroom time for applied decision-making and leadership development.Jaipuria Institute of Management continues to invest in mentorship intensity, peer collaboration, and structured industry exposure. The time saved through AI assisted processes is redirected into leadership development, decision labs, live consulting assignments, and iterative feedback environments.

The final evaluation remains faculty driven.“Artificial intelligence in education can generate answers, but education is about shaping how a person thinks, decides, and takes responsibility. We must download learning into a human being. Technology can accelerate preparation, but judgment, ethics, and leadership must be internalised,” Shreevats Jaipuria remarked at the summit, reinforcing the distinction between automation and education. Consulting firms, BFSI institutions, analytics companies, and digital enterprises are increasingly prioritising AI-literate MBAs who can interpret data alongside automated systems. The MBA placements pattern reflects this recalibration, with AI now embedded in role descriptions across consulting, BFSI, analytics, and digital firms. A recent poll confirms this trend, stating that 99 percent of C-suite leaders and 94 percent of employees use generative AI in some capacity¹. Salary premiums remain concentrated among universities that have adapted their curriculum to the evolving job market.The shift is already visible in current recruitment outcomes. In the PGDM 2024–26 batch, Shrijan Tamrakar, Sneha Keshari, Akanksha Soni and Navya Mishra secured roles as AI Analysts with BNY, reflecting the growing demand for management graduates who can operate at the intersection of finance and artificial intelligence.Reflecting on this transition from classroom to industry, Shrijan Tamrakar noted,“AI came as a storm in the corporate world, but at Jaipuria we were already working with AI-native tools in our classrooms, interviews and projects before it became a buzzword.

That early exposure to AI-driven analysis, combined with a strong focus on human judgment and decision-making, is exactly what helped me step into my role as an AI Analyst at BNY with confidence.”

This alignment between curriculum and industry expectations extends across campuses. In recent cycles, the institute has recorded the highest packages above ₹36 lakh per annum and a 100% summertime internship employment rate². Graduates gained employment as senior analysts in portfolio management, business analysts in advising, managerial trainees on leadership pipelines, and territory managers with profit and loss accountability.

Recruiters, including BlackRock, Deloitte, Genpact, ICICI Bank and over 275 companies across financial services, consulting, FMCG and retail operations participated in the hiring process.

PGDM/MBA 2026-28: Programme at a glanceAccreditations and Rankings:1. NIRF 2025: Noida (Delhi NCR) (41st), Lucknow (67th), Jaipur (74th), Indore (101-125)2. AACSB Accredited (Top 6% globally)3. NBA Accredited | NAAC A+ | AIU RecognisedApplications are now open for the PGDM/MBA 2026–28 programme. Reference:

Disclaimer: The article has been produced on behalf of Jaipuria Institute by the Times Internet's Spotlight team.