NITI Aayog Says 2 Million Tech Jobs Are at Risk. Here's the Other Number Nobody Talks About.
NITI Aayog's own roadmap projects 2 million jobs at risk in India's tech sector — and 4 million new roles created. The gap between those two numbers isn't random. It's decided by who adapts.
// executive_summary
- NITI Aayog's October 2025 roadmap projects 2 million tech jobs at risk in India — and 4 million new roles created over the same period.
- Worst case: tech sector headcount falls from 7.5–8 million (2023) to 6 million by 2031; the 2 million at-risk jobs support an estimated 20–30 million people through the wider economy.
- The split between the 2 million and the 4 million isn't random — it's determined by who builds AI capability before the reshuffle finishes.
- New roles projected4 · 67%
- Jobs at risk2 · 33%
Source: NITI Aayog, Roadmap for Job Creation in the AI Economy, Oct 2025
Exposure
The reshuffle is already underway
NITI Aayog is the government's own think tank projecting this. This isn't outside criticism — it's the state's own planning document.
In October 2025, NITI Aayog's Frontier Tech Hub — working with NASSCOM and BCG — published a report called "Roadmap for Job Creation in the AI Economy." It's a government body's own assessment of what AI does to India's tech workforce over the next several years. The headline number is stark: AI could put roughly 2 million jobs at risk in a tech services sector that employs about 8 million people. In a worst-case scenario, the report projects headcount falling from 7.5–8 million in 2023 to 6 million by 2031.
The number that gets skipped
Most coverage of that report stopped at the 2 million figure. The same report also projects roughly 4 million new job roles created over the same period. Read alone, 2 million at risk is frightening. Read next to 4 million created, the story changes: this isn't a shrinking pie, it's a reshuffled one — and reshuffles have winners.
The report goes further than most: it notes the 2 million at-risk jobs likely support an ecosystem of 20 to 30 million people through their income moving through the economy. That's the scale of what's actually being reallocated — not eliminated outright, but shifted toward people and businesses that adapted faster.
Why the gap isn't random
- The roles most exposed are the ones that are repeatable and well-documented — the kind AI can absorb without much judgment required.
- The roles being created are the ones that don't exist yet in most organizations' org charts — AI oversight, prompt and workflow design, data curation.
- Nobody is assigned to either bucket by default. The determining factor is whether someone has spent time building AI-relevant capability before the reshuffle finishes.
The 2 million and the 4 million aren't two separate futures. They're the same future, split by who prepared for it.
The way forward
NITI Aayog's own recommendation is a National AI Talent Mission — a coordinated push to build AI capability at national scale. You don't need to wait for that mission to reach you individually. The same logic applies at the level of one person or one small business: learn what AI actually does, build something real with it, and you've moved yourself from the group being reshuffled to the group doing the reshuffling.
If you've got an idea that automates part of your own work, or a business workflow you've been meaning to fix, that's the fastest way to end up on the right side of NITI Aayog's own numbers.
Way Forward
Way Forward
NITI Aayog's own fix is a National AI Talent Mission at the national level. At the individual level, the same logic applies now: build AI capability before the roles get reassigned around you.
// sources