India should automate the jobs it is best at
A working argument for why protecting India’s strongest white collar sectors from AI may be the wrong development strategy.

India may gain more by using AI to dominate its mature service sectors and letting scarce talent rotate into sectors that still need human capability.
India has an unusual AI problem. The sectors where the country has built some of its deepest pools of trained talent are also the sectors where work is most structured, digitised and therefore exposed to automation.
The instinctive response is to ask how those jobs can be protected. I want to investigate the opposite question: what if India should accelerate the automation?
The core argument
If AI lets an Indian services company produce much more with fewer people, India can use that productivity to become more competitive globally. The first order effect may be pressure on some roles. The second order effect could be more important: scarce capable people become available to sectors that have historically struggled to attract them.
That is not automatically good. Talent can become unemployed instead of being redeployed. Wages can fall. Gains can concentrate. New sectors may not absorb people quickly enough.
Those are not footnotes to the thesis. They are the thesis test.
Why India may be different
A mature economy and a still developing economy do not start from the same place. Many Indian sectors still have weak processes, uneven management quality, poor digitisation and severe shortages of capable operators. The same worker who is becoming less necessary in a highly standardised process may be unusually valuable somewhere else.
The question is whether policy, capital and institutions can make that movement possible.
What this project will test
Over the coming year, I plan to break this idea into smaller questions: exposure to automation, services exports, wage effects, labour mobility, education, inequality, regional effects and the sectors that could absorb talent.
The conclusion is not fixed. If the evidence breaks the thesis, the thesis should change.