AI and entry-level jobs in India are the focus of an IIT Madras white paper that warns automation could change how young employees gain experience, even when their roles are not eliminated.

Key Takeaways

  • The paper says AI’s employment impact should be assessed task by task, rather than by counting jobs alone.
  • Routine work can help junior employees develop judgement, so automating it may require changes to training.
  • The researchers call for worker-transition pathways and more India-specific labour-market research.

AI and entry-level jobs: Why training could change

The Centre for Responsible AI at IIT Madras says entry-level roles in information technology, business process outsourcing, finance and professional services often include repetitive, process-oriented tasks that AI could increasingly handle.

Those tasks can also serve as an apprenticeship, giving junior employees practical experience that helps them develop judgement for more senior roles. If AI takes over more of that work, the paper says employers may need to rethink how they train and develop junior staff.

Tasks can change without jobs disappearing

The paper, titled How AI Is Reconfiguring Work in India, distinguishes between automating individual activities and eliminating whole jobs. Employees may still be needed for decisions, unusual situations and accountability for outcomes.

The effect will vary by sector and organisation, depending on the work involved, available technology and how businesses implement it. The paper recommends structured worker-transition pathways, including training and reskilling, alongside research into which tasks are suitable for automation and where human involvement remains necessary.

It argues that assessing AI’s employment impact also requires attention to changes in responsibilities, career progression, skills and productivity—not just the number of jobs created or lost.

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