IIT Madras study shows AI will reshape entry level jobs in India without mass losses

Entry-level professionals across India face a shift in early career structure as artificial intelligence automates routine duties without eliminating entire occupations, according to a report by the Centre for Responsible AI (CeRAI) at IIT Madras.

The white paper, titled How AI Is Reconfiguring Work in India, argues that the technology's impact on employment must be assessed task by task rather than through sweeping assumptions about job creation or loss. Automating specific process-driven tasks changes worker responsibilities, but core human capabilities such as decision-making, handling unusual cases, and taking final outcome accountability remain firmly in human hands.

Sectors facing task automation

Routine, process-oriented roles at the entry level are most susceptible to automation, particularly within India's tech and services backbone. Junior roles in these industries have historically operated as informal apprenticeships where repetitive tasks help workers build the judgement required for senior management.

Redesigning early career pathways

Because automating entry-level tasks removes the traditional stepping stones used to build expertise, the study suggests that employers redesign junior roles to ensure continuous professional growth. Moving away from process work allows young professionals to focus earlier on analytical and strategic skills.

To manage this workforce transition smoothly, the paper recommends that organisations establish structured training and reskilling programs. It also calls for targeted investment in India-specific labour market research to clarify which operational tasks benefit from automation and where human oversight remains essential for long-term industrial stability.