The debate over AI and jobs in India has moved from hypothetical to measurable. Industry estimates suggest AI tools now handle a significant share of entry-level tasks in sectors like IT services, and several major Indian technology firms let go of thousands of mid-tier engineers in the space of just two months this year, with AI-driven efficiency cited as a factor. At the same time, state governments are racing to attract AI investment, with Maharashtra approving a new AI policy aimed at drawing over 10,000 crore rupees in investment and generating roughly 1.5 lakh jobs by 2031, and the central government running a multi-thousand-crore national AI mission spanning healthcare, agriculture and education.
These two trends, job displacement at the entry and mid level, and ambitious job-creation promises tied to AI investment, are not necessarily contradictory, but they are happening on very different timelines. Displacement is visible now, in hiring freezes and smaller graduate intakes at IT firms. The promised new jobs are mostly multi-year projections tied to policies that were only approved in the past several months. For the young engineers and analysts whose roles are being automated today, a job that might exist in 2031 offers little practical comfort.
It is worth acknowledging the counterargument seriously: every major technology shift, from computerization to the internet, has eventually created more jobs than it destroyed, and AI proponents make a similar case here, pointing to fast growth in AI-specific roles that is outpacing overall IT hiring. Reskilling programs, government AI missions and private-sector training initiatives are already underway, not absent. The honest assessment is that it is still too early to know whether AI’s net effect on Indian employment will be positive, negative or roughly neutral once the dust settles.
What does seem clear is that policy is reacting to disruption rather than anticipating it. State AI policies focus heavily on attracting investment and headline job numbers, with comparatively little detail on transition support for workers displaced in the interim, whether through unemployment bridges, mandated reskilling access, or sector-specific safety nets. If India wants the AI transition to be broadly beneficial rather than sharply uneven, that gap between investment promotion and worker transition support is where the next round of policy attention needs to go.