Overview
- The whitepaper from IIT Madras’s Centre for Responsible AI presents a four-level framework—task, job, occupation and labour-market outcome—to assess AI’s effects rather than treating whole professions as immediately automatable.
- The authors argue AI is likelier to change or augment bundles of tasks than erase entire jobs and that outcomes hinge on task type, firm decisions, regulation, safety needs and the cost of deploying AI.
- The paper introduces “AI-cost geography,” saying cheaper, task-specific tools will diffuse to BPOs and small firms while advanced AI use stays concentrated in larger companies and urban centres.
- It recommends three policy steps: spread affordable task-focused AI for MSMEs, fund India-specific labour-market field research, and create structured worker-transition pathways with training and clear role redesigns.
- The report has already influenced education and industry responses as B‑schools update curricula and IIM Ahmedabad issues institution-authorised AI licences, and the authors frame their taxonomy as a hypothesis that needs India-specific empirical testing.