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IIT Madras Says AI’s Effect on Indian Work Should Be Measured Task by Task

The paper argues that costs, infrastructure and employers’ restructuring choices will decide whether AI augments, remakes or displaces specific pieces of work.

Overview

  • IIT Madras researchers published a whitepaper released Monday, October 26, 2026, that reframes AI’s labour impact as changes to individual tasks rather than whole occupations.
  • The study sets out a four-level framework that separates tasks, jobs, occupations and wider labour‑market outcomes to avoid overstating automation risks.
  • Authors identify two human–AI collaboration models: one where AI performs most work and humans check outputs, and one where humans keep decision authority and use AI as an assistant.
  • The paper introduces “AI-cost geography,” saying tool price and infrastructure will push cheap, task-specific AI into small firms and BPOs while advanced systems stay in large urban firms.
  • Researchers call for affordable task-focused tools for small businesses, India-specific research on vulnerable tasks and clear reskilling routes so workers can move into redesigned roles.