theThinking Tortoise
A 25 part research series

India’s AI Moment

We should not ask how to save jobs from AI. We should ask: where does the talent go next?

A year long investigation into talent, productivity, new industries and the choices India makes as AI changes work.

01 · Core thesis

India should aggressively automate its most mature, AI exposed white collar sectors to become globally dominant in them, then use the resulting movement of scarce top talent into less mature, talent starved sectors to accelerate the country’s overall development.

  1. AutomateAggressively automate the most mature, AI exposed white collar sectors.
  2. DominateBecome globally dominant in them.
  3. RedeployMove the scarce top talent this frees into less mature, talent starved sectors, and accelerate the country’s development.
Read the thesis
02 · Why this matters now

The immediate question is jobs. The larger question is whether AI changes how India develops.

Automation on its own only removes work. Automation that frees scarce talent for the sectors India has never been able to staff well is development. Whether the second outcome is reachable, and what it would take, is what the 25 questions test.

Featured essay

Why AI is an opportunity for India

A deeper look at how AI can accelerate India’s development through talent, productivity and new opportunities.

1 min read
Read the essay
03 · Explore the argument

Twenty five questions, answered one at a time.

Each becomes an essay as the evidence comes in. Together they are the argument, tested rather than asserted.

Which Indian white collar sectors are most exposed to AI?
Why is India’s strongest talent concentrated in the sectors AI can automate fastest?
How much productivity can AI realistically unlock in India’s mature service sectors?
When productivity rises sharply, does employment shrink or does the market expand?
Can AI help India take a larger share of global services rather than simply reduce headcount?
Does AI reduce the advantage of location and accent in customer facing knowledge work?
What happens to wages when a sector becomes dramatically more productive?
Where has Indian talent moved during earlier economic transitions?
Which Indian sectors are constrained more by talent than by capital or demand?
Why have less mature sectors struggled to attract India’s best trained people?
Can displaced technology and services talent realistically move into those sectors?
What frictions could prevent talent rotation across sectors?
What role should education and reskilling play in that transition?
Should India protect employment in IT and BPO from AI driven automation?
What are the costs of protecting jobs in sectors where AI can raise global competitiveness?
How are other large economies responding to the same productivity shock?
Why might a policy response designed for rich countries be wrong for India?
How does India’s demographic window change the stakes?
Could the same AI transition widen inequality instead of accelerating development?
What could this transition mean for Tier 2 and Tier 3 cities?
What happens to India’s services exports if AI changes the economics of labour arbitrage?
Could AI free scarce talent for public services and institution building?
Where should India concentrate AI investment if the goal is national productivity?
Which policies would make productive movement of talent easier?
What would India look like by 2035 if the thesis is broadly right?
04 · Evolving conclusion · updated 4 September 2026

The thesis is a position to test, not a conclusion to protect. My current view is that India may gain by accelerating AI in its most mature service sectors, but only if the resulting talent movement becomes productive rather than simply unemployment. The evidence will keep changing the conclusion.

This is not a prediction. It is a working investigation.