On the same weekend, IIM Bangalore closed a placement season at a median stipend of ₹2 lakh a month while Indian tech shed more than 5,000 jobs in October. Read together, the two say something sharper than "AI is eating jobs": the ladder's bottom rungs are being removed and its top rungs auctioned. What India needs is not a jobs guarantee but matching and signalling at scale — a National Employment Grid and Bharat Job Alert Mission — plus skilling that makes a fresher useful on day one.
Two numbers arrived hours apart this weekend, and I cannot put them side by side without wincing.
The first: IIM Bangalore closed its summer placements with all 608 participating students placed across 128 organisations, at a median stipend of ₹2 lakh a month (The Hindu, 1 November 2026). The second: technology companies cut over 5,000 jobs in October, and one in three tech layoffs this year cited AI as a factor (Newsbytes, 31 October 2026).
Read together, the familiar sentence — AI is eating jobs — stops working. AI is not sawing off the ladder. It is removing the bottom rungs and auctioning the top ones.
BCG's arithmetic is blunt. About $200 billion of today's paid technology-services work is expected to disappear by 2030, even as $300–400 billion of new work appears (Economic Times, 29 October 2026). At roughly $30,000 of revenue per employee, India's share of that lost work equals the work of about four million people, on a base of 4.5 million.
Yet BCG's Sreyssha George does not predict a fresher bloodbath. She predicts a change in the quality of fresher hiring, with new teams expected to "actually be productive from day one". The pyramid becomes a diamond. The rung survives; the height you must jump to reach it does not.
Three more numbers point the same way:
- Junior and entry-level postings down 11% year-on-year in Q2 2026, against 5% overall (Bain tracking, compiled here, 1 November 2026)
- AI and ML hiring up 20%, IT services hiring down 4% (Naukri JobSpeak, September 2026, as reported in that compilation)
- Salaries of ₹20 lakh and above up about 18%, while those below settle for under 7% (Teamlease to CNBC-TV18, 30 October 2026)
So the split is not between people and machines. It is between capability an employer can verify and capability still asserted on paper.
I have pushed two pieces of machinery for a while. My National Employment Grid whitepaper (17 July 2025) asked why India, having leapfrogged in UPI and Aadhaar, cannot "become the global testbed for AI-powered recruitment". The Bharat Job Alert Mission (20 July 2025) said it in one line: "A job in every phone, a future in every home."
Concretely, two things:
- Match at scale — a resume uploaded once, a vacancy posted once, an AI loop re-scoring both every 24 hours and pushing matches out by SMS, WhatsApp or voice bot in the seeker's own language.
- Signal at scale — skill credentials earned by doing a task and machine-readable, so that a certificate from a small-town college means the same to a Bengaluru employer as a big-city degree.
Neither is a jobs guarantee. A guarantee promises a wage; it cannot create work that someone will pay for. Matching and signalling attack the real bottleneck — the distance between a young person and a vacancy that already exists.
The uncomfortable part, which I argued in my note on the National Job Skilling Policy (8 April 2026): a degree is no longer a signal; a demonstrated skill is.
To the 22-year-old reading this: your degree gets you into the queue; what you can demonstrate gets you out of it.
With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
1 November 2026
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