Beyond the ₹6-lakh dream: The truth behind B-school salaries

When news broke that a student from the Indian Institute of Management Calcutta had secured a summer internship with a stipend of ₹6 lakh per month, social media erupted in awe and disbelief. “Six lakhs a month for a student!” screamed headlines. For many, it symbolised India’s arrival on the global corporate map; for others, it exposed the growing gulf between privilege and opportunity.

But behind the glitter of this number lies a sobering truth about inequality within the job market, the shifting value of management education, and the silent tremors of the AI revolution that are already reshaping careers across industries.

The mirage of averages

The ₹6-lakh stipend, while genuine, represents the outer edge of a long and uneven curve. IIM Calcutta’s latest placement report shows the average monthly stipend at ₹1.85 lakh, and the median the midpoint where half the students earned less around ₹1.6 lakh. The highest domestic stipend was ₹4.5 lakh, while only a few reached the ₹3 lakh mark.

This is a classic right-skewed distribution, where a handful of top-earning outliers lift the average far above the reality experienced by most. The pattern repeats across India’s top management institutes. At IIM Ahmedabad, Bangalore, and Calcutta, “average annual salaries” hover between ₹35–40 lakh, but median packages are typically 15 - 20 percent lower. Among Tier-2 IIMs and private B-schools, averages fall to ₹10–20 lakh and even there, the top 10 percent earn double or triple the rest.

In other words, that glittering figure splashed across headlines is a headline for one, not a benchmark for all.

The disappearing middle

The more serious challenge lies in the shrinking middle the once-steady layer of mid-level managerial jobs that absorbed thousands of MBAs every year. Artificial Intelligence is hollowing out this tier at an alarming pace.

Routine analytical work, financial modelling, report generation, data visualisation or HR screening is now done faster and cheaper by machines. Consulting firms and investment banks are hiring fewer junior analysts. Corporates prefer leaner teams with a few elite strategists managing AI-driven execution engines.

Across sectors, the pattern repeats:

• Banking and finance rely on automated credit scoring and risk analysis.

• Consulting deploys AI for market research and scenario modelling.

• Marketing uses algorithms for customer segmentation and targeted ads.

• Media increasingly depends on generative tools for content creation.

• Manufacturing and logistics are run by robotics and predictive analytics.

The result is a polarised job market, a small elite at the top with record stipends, and a wide base of routine roles under cost pressure. The comfortable middle, once the heart of corporate India, is steadily vanishing.

Winners and the Rest

Who then survives in this AI-infused economy? The winners will be those who can combine managerial judgement with technological fluency. The old formula MBA plus communication skills no longer guarantees premium placements. Companies now pay for capability, not credential.

Tomorrow’s high-value manager will be a hybrid professional, part strategist, part coder, part communicator. They will need to understand not only balance sheets but also machine-learning dashboards. For them, AI will be an assistant, not a rival.

But many graduates risk being trapped in a mismatch: trained for supervision when the market demands execution; prepared for PowerPoints when the world needs Python. The imbalance will widen income gaps even inside elite campuses with a few commanding global offers while the rest settle for modest domestic packages.

The broader picture: India’s demographic crossroads

India stands at a delicate intersection. With the world’s youngest workforce, it can either become an AI-powered growth engine or slide into a digital divide where opportunities concentrate in the hands of a few.

If higher education continues to chase placement statistics instead of future-ready skills, we risk producing a generation of degree-holders without direction. AI can amplify human intelligence or replace it depending on how we prepare.

Across middle-income economies, “jobless growth” is already visible: output rises through automation while employment stagnates. India cannot afford to let that pattern take root.

Lessons for students and institutions

For students dazzled by the ₹6-lakh dream, the first lesson is realism.

1. Don’t mistake the exception for the rule. Only a handful achieve those sums; most successful careers grow gradually.

2. Invest in digital literacy. Data analytics, AI tools, and automation fluency are the new grammar of business.

3. Prioritise substance over prestige. A famous logo on your CV is worth little without relevant skills.

4. Embrace lifelong learning. Careers will span multiple roles and industries; adaptability will matter more than initial placement.

B-schools, too, must transform. They can’t rely on glossy brochures and outdated case studies. They must integrate courses on AI ethics, data governance, automation strategy, and digital product management. The next generation of managers must know how to lead humans and algorithms.

A future beyond headlines

The story of that IIM Calcutta student earning ₹6 lakh a month is both inspiring and cautionary. It proves that Indian talent can command global value but also exposes how narrow the top of the pyramid has become. The corporate ladder is steeper, the climb shorter, and the safety net thinner.

In the coming decade, the contest won’t be for the highest stipend; it will be for relevance. Those who evolve with technology will rise; those who resist will fade. India’s young professionals must therefore look beyond the sparkle of salary slips and invest in something deeper learning that lasts longer than the next automation cycle. Only then will the ₹6-lakh dream become not an illusion for a few, but an achievable horizon for many.