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IIT Madras paper says AI may reshape entry-level jobs in India

A white paper from the Centre for Responsible AI at IIT Madras argues that AI could change how young employees in India start their careers. It says routine, process-oriented tasks in IT, BPO and finance may increasingly be handled by AI, affecting how juniors build judgement and progress. The paper recommends structured training, reskilling and more India-specific research on which tasks suit automation.

AI could change how young employees start their careers in India: IIT Madras Paper

New Delhi, October 26

Artificial intelligence could reshape entry-level jobs in India by automating routine tasks and changing the responsibilities of junior employees, even when their entire roles are not eliminated, according to a white paper by the Centre for Responsible AI at IIT Madras.

The paper, titled How AI Is Reconfiguring Work in India, argues that AI's impact on employment should be assessed by examining individual tasks rather than assuming that entire occupations will either disappear or remain unaffected.

It highlights information technology, business process outsourcing (BPO), finance and professional services as sectors where entry-level jobs often involve repetitive, process-oriented tasks that could increasingly be handled by AI.

The report warns that automating these tasks could affect how young employees gain experience and progress towards more senior positions.

"Junior roles have historically functioned as an apprenticeship: repetitive, process-oriented tasks are individually low-value but that collectively teach the judgement a worker later needs in a senior role," the paper said.

It added that if AI takes over these tasks, companies may need to rethink how they train and develop junior employees.

The paper explains that entry-level positions often help workers learn through practical experience. If AI performs more of the routine work, employers may need to redesign these roles to ensure that employees continue to develop professional skills and judgement.

The report also distinguishes between automating tasks and eliminating jobs. While AI may take over certain activities, workers could continue to perform responsibilities involving decision-making, handling unusual situations and taking accountability for outcomes.

It further notes that the impact of AI will vary across sectors and organisations, depending on the tasks involved, the technology available and how businesses implement it.

The paper recommends that employers consider structured worker-transition pathways, including training and reskilling, as AI changes workplace responsibilities. It also calls for investment in India-specific AI and labour-market research to understand which tasks are suitable for automation and where human involvement remains necessary.

The report's central argument is that the employment impact of AI cannot be measured only by counting jobs created or lost. Changes in work responsibilities, career progression, skills and productivity also need to be considered.

As Indian companies adopt AI tools, the paper suggests that preparing workers for changing roles will be important, particularly for younger employees whose early-career experience may be affected by the automation of routine tasks.

— ANI

Reader’s Guide · AI-assisted, based only on the report above

What the report makes clear: AI's effect on jobs is better judged task by task than by counting whole roles lost or kept.

Still open: The report does not yet say which specific companies, sectors or timeframes have shown these changes in practice.

Another way to look at it: Automating routine junior work may raise productivity while removing the very tasks through which newcomers traditionally learned judgement.

How should employers keep entry-level roles a real training ground as AI takes over routine work?

Reader Voices

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