India’s 1.5M computer-science grads a shrinking advantage as AI eats routine coding; Infosys retools hiring

Scale vs. automation

It has been reported that India churns out more than 1.5 million computer-science and related graduates each year. Big number. Big expectations. But the calculus is shifting fast. AI coding assistants — think Copilot, ChatGPT and their enterprise cousins — are increasingly able to handle boilerplate programming, bug fixes and routine scaffolding. Quantity alone, once a competitive edge for India’s tech workforce, is being hollowed out by automation. Who wins when a machine can write the boilerplate faster than an army of junior devs? Not the conveyor-belt model.

Infosys rewrites the playbook

It has been reported that Infosys, one of India’s largest IT employers, is revamping hiring to prioritize AI fluency, adaptability and higher-order engineering skills over mass recruitment of entry-level coders. Allegedly, the company is changing assessments to test for AI tool literacy, problem-solving, system design and the ability to leverage generative models — not just syntax recall. It’s a signal: employers would rather train people to shepherd AI than replace their training departments with endless fresh graduates who don’t know how to use the new toolset.

What comes next

The implication is stark and human. Universities, bootcamps and recruiters face pressure to shift curricula toward AI collaboration, ethics, and domain knowledge. Employers will invest more in reskilling; students will need to learn how to ask the right questions of a model, not just write code line-by-line. It has been reported that some grads already feel blindsided — and who can blame them? The era of scale is not over, exactly — it just rewards different skills. Will India’s education pipeline adapt in time, or will the advantage melt into something that looks a lot like every other market’s race to upskill?

Sources: bloomberg.com