AI & Automation: Are we skilling fast enough?

Walk into any mid-sized Indian company today and two conversations are almost certainly running in parallel: one about deploying AI, the other about why the workforce isn't ready for it. That gap, unremarkable on most days and quietly devastating in the long run, is the defining challenge of this decade.

I say this not to alarm, but because I see it up close every day.

The World Economic Forum's Future of Jobs Report 2025 projects that 170 million new roles will emerge globally by 2030, even as 92 million are displaced, a net gain, yes, but one contingent on massive, urgent reskilling. Meanwhile, McKinsey estimates that up to 30% of current work tasks in India could be automated by 2030. We are not talking about a distant disruption. It is already underway.

India produces 1.5 million engineering graduates annually. Yet the India Skills Report 2025 pegs B.Tech employability at just 71% and even that figure masks how few are truly ready for AI-driven roles. Our curricula, despite well-meaning reforms, still largely train students for yesterday's economy. By the time a syllabus clears every committee, the industry has moved on twice.

The private sector is equally culpable. Upskilling budgets remain thin, and reskilling is still treated as a reward rather than a right, ironically, for the very mid-level workforce automation will hit hardest.

Intent exists. Skill India, PM Internship Scheme, NPTEL, and emerging corporate academies are genuine steps. But intent and scale are not the same thing, and scale is precisely what this moment demands.

The automation clock runs on silicon time. Human adaptability does not.

The machines are not coming for us, but they are not waiting for us either.

The question was never whether AI would change work. The only one that matters now is whether we are serious about changing alongside it.

(Nisha Singh is a policy analyst and General Manager – Brand & Corporate Communication at MEPSC under MSDE, working at the intersection of skilling, employability and workforce development. Views expressed are her own)