One number from this weekend explains India's jobs problem better than any forecast: 135 vacancies for every 100 engineers with microarchitecture expertise — sitting beside 15.3% youth unemployment. AI is not destroying Indian jobs. It is sawing off the first rung while gilding the top one, and the fix is to publish vacancies and placements, not degrees.
Miguel Paiva's Latin Times report of 14 November had a line I could not put down: what separates 2026 from past downturns is that "companies are not cutting because they are struggling. They are cutting to accelerate."
The year's ledger, from Challenger, Gray & Christmas and TrueUp:
- 206,817 tech jobs affected across 712 documented events by 13 November (TrueUp).
- 121,401 announced US cuts where the employer named AI as the reason, January to October — more than double 2025's 54,836 (Challenger).
- About $700 billion committed to AI infrastructure in 2026 by the same firms.
- A 62% pay premium for workers with verified AI skills (TrueUp).
Demand has not collapsed either: the AI Hiring Index counted 828 new AI roles across 270 companies in the week to 14 November, 15% below the week before.
Now India, same weekend. The PLFS bulletin for July–September 2026 puts youth unemployment at 15.3% with a worker population ratio of 34.9%. CMIE has the graduate labour participation rate at 52.26% in September, a five-year low, even as employed graduates rose. Yet a LinkedIn India report syndicated by Lokmat Times finds AI engineering postings up 59.5% year on year, Vijayawada up 45.5%. And BCG with CIEL HR told the Economic Times on 15 November that the semiconductor workforce will quadruple from 25,000 to over 100,000 in three years, at four to six times IT-services pay, with 67,500 openings in 18 months.
Add it up and the paradox dissolves into something plainer. India's problem is not that AI destroys jobs. It is that the entry rung is being sawed off while the top rung is gilded. The semicon study says it plainly: 135 vacancies for every 100 engineers with microarchitecture expertise. BCG's Ankush Wadhera notes that entry and mid-level talent "can be easily trained" while senior talent is in acute shortage. The shortage is not of beginners. It is of people someone has already trained — and nobody is paying to train them.
I have circled this before. In Graduates Without Jobs (March 2026) I read the 67% graduate share of unemployed youth as a verdict on job quality; in Tracking Real Placements (April 2026) I asked for placement dashboards rather than vacancy counts. The arithmetic was the missing piece.
So, three things I would ask of the ministries and the companies, in the spirit of the National Employment Grid I sketched in July 2025:
- Publish vacancies and placements, not degrees — confirmed joins by district and sector, audited quarterly.
- Fund the training-to-placement loop, not the training: pay providers on verified placement and twelve-month retention.
- Treat the 62% AI premium as grounds for subsidy, not celebration.
None of this will happen quickly. I have said so before, and the ledger no longer lets us pretend otherwise.
With regards,
Hemen Parekh
www.Iam-Immortal.ai / www.IndiaAGI.ai / www.YourContentCreator.in
15 Nov 2026
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