India's tech sector faces 53-60% talent gap in GenAI, cloud: Report
India's tech industry is growing fast, but the supply of AI-ready talent is not keeping pace, as TeamLease Digital's 'Digital Skills & Salary Primer FY27, found a 53-60% talent gap in GenAI and Cloud.

India's tech industry is growing fast, but the supply of AI-ready talent is not keeping pace, as TeamLease Digital's 'Digital Skills & Salary Primer FY27, found a 53-60% talent gap in GenAI and Cloud.
According to the report, only about 16% of IT professionals are holding AI skills.
Cloud has the widest supply gap of the four skill families at 55-60%, followed by GenAI at about 53%, while demand for GenAI talent is expected to cross 10 lakh roles by 2026.
The gap in Cybersecurity stands at 25-30%, which is narrowing but still material.
The TeamLease Digital's 'Digital Skills & Salary Primer FY27 is based on analysis of 37,000 technology and digital roles from TeamLease Employee Data of 2026-27, across GCCs, tech firms and core industries.
The report further revealed that, amid a shortage of skilled talent, salary premiums are increasingly shifting towards AI-core and product-critical engineering roles, even at the early stages of a career.
A GenAI Developer (AI-Core) earns Rs 11.2 LPA at 0-2 years, rising to Rs 34.5 LPA at 6-8 years, defining how wide the gap is. A Data Engineer (AI-Adjacent) moves from Rs 9.1 LPA to Rs 29.6 LPA, while a Technical Support Engineer (AI-Support) moves from Rs 5.2 LPA to Rs 14.6 LPA.
By 6-8 years, GenAI, ML and Data Science roles reach Rs 31-35 LPA, nearly 2 times of AI-Support roles, and the gap is set to widen, with projected FY28 growth of 16.2% for GenAI Developers, 12% for Data Engineers and 6.6% for Technical Support Engineers.
"AI is changing what it means to be capable. Using AI tools is now the baseline, what the market rewards is the ability to build, run and govern AI in production. That is why we look at talent through three tiers, AI-Core, AI-Adjacent and AI-Support, because with only about 16% of IT professionals holding AI skills, 'AI-skilled' means very different things at each level," TeamLease Digital CEO Neeti Sharma said.
However, technical depth alone does not determine the premium, she said, adding that it lies at the intersection of proximity to the AI stack and domain knowledge, complemented by human skills such as creativity and adaptability, particularly as nearly 39% of core skills are expected to change by 2030.
As AI takes over execution, human judgment and leadership become more important, with readiness depending on the depth of skills rather than the number of employees, Sharma added. PTI
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