“You will be at a 350 million AI-trained workforce that can be deployed not just here, but can be doing work around the world.”

The figure comes from a joint study by IBM’s Institute for Business Value and IndiaAI, published earlier this month, which estimates that AI could add more than $500 billion to India’s economy by 2030.

To get there, the AI-literate share of India’s technology workforce will have to rise from around thirty per cent today to nearly fifty-seven per cent by the end of the decade. That is the gap between 200 million and 350 million workers, and it is meant to close in less than five years.

The pressure is structural. India produces millions of engineers a year, and many of them work in the IT-services industry that built the country’s reputation as the world’s back office.

Those jobs are precisely the ones generative AI is now coming for. Coding, ticket handling, junior analyst work: the tasks that have, until recently, scaled with headcount are now scaling with model calls. Patel framed it carefully.

“AI is both creating productivity improvements, which is changing the complexion of jobs, but it’s also creating new skill sets that people have to adapt and learn, which then creates newer jobs,” he told ANI at the report’s launch.

The report itself is blunter than the executive on stage. Seventy-two per cent of surveyed organisations admit they are behind global peers on AI. Only fifteen per cent are scaling AI through cross-functional investment; the remaining eighty-five per cent are stuck in pilots.

The execution gap is not unique to India. It is the same story in Brussels, where Eurostat’s December release showed only a fifth of EU enterprises using AI, and where European executives name skills shortages as a top barrier behind only regulation.

What is unique to India is the demographic arithmetic. More than half of the country’s 1.4 billion people are under thirty.

The government’s IndiaAI FutureSkills programme is trying to translate that into AI literacy at scale, with data and AI labs being expanded into Tier 2 and Tier 3 cities. IBM, which in December committed to skill five million Indians in AI, cybersecurity and quantum computing by 2030 through its SkillsBuild platform, is one of the corporate vehicles for that effort.

The company has been quietly growing its footprint outside Bengaluru and Hyderabad, expanding in Kochi to roughly four thousand staff within two years and opening a presence in Lucknow.

Patel pressed one further point that is less commonly raised in the AI-and-jobs conversation: intellectual property. India will need stronger IP enforcement, he said, if it wants to move from running the world’s back office to creating monetisable technology of its own.

If the next decade of AI value accrues to the firms that own the models, the country that trains the workforce but not the IP will, again, be operating someone else’s product. The skill capital and the model capital are not the same thing. India, on Monday’s evidence, is aiming for both.