India’s technology sector is growing fast, but the supply of AI-ready talent isn’t keeping up. TeamLease Digital’s latest Digital Skills & Salary Primer for FY2026-27 found a 53-60% talent shortage in Cloud roles and around 53% in GenAI, while only about 16% of India’s IT professionals currently have AI skills.
The Scale of the Gap
The report is based on an analysis of 37,000 technology and digital roles. It looks at how the shortage of specialised talent is shaping hiring, salaries, and how technology work gets delivered across India. Demand for GenAI talent is expected to cross 10 lakh roles by 2026, while Cybersecurity continues to face a 25-30% gap between demand and supply.
Cloud has the widest gap of any skill family in the report, with a shortage of 55-60%. GenAI follows close behind at around 53%, underlining how hard it’s becoming for organisations to find people with real AI and cloud expertise. Cybersecurity remains under pressure too, even though its gap has narrowed to 25-30%.
This shortage persists despite large-scale efforts to retrain the workforce. TeamLease Digital estimates that around 20 lakh professionals have been upskilled overall, but only about 3 lakh have developed advanced AI skills. That gap, between knowing how to use AI tools and knowing how to actually build and manage AI systems in production, is at the heart of the problem.
Three Kinds of AI Roles
TeamLease Digital splits AI-related roles into three categories. AI-Core roles include GenAI and Machine Learning engineers who build and manage intelligent systems directly. AI-Adjacent roles, such as Data, Cloud, and Cybersecurity engineers, apply AI within existing technology and business workflows. AI-Support roles focus on monitoring, validation, and first-line problem resolution.
Where the Money Is
The salary gap between these categories becomes clearer as professionals gain experience. At 6-8 years of experience, GenAI, Machine Learning, and Data Science roles can reach ₹31-35 lakh per annum, well above typical AI-Support salaries. Looking ahead, TeamLease Digital projects FY2027-28 salary growth of 16.2% for GenAI Developers, 12% for Data Engineers, and just 6.6% for Technical Support Engineers.
That same pattern holds at senior levels. Professionals with more than 15 years of experience can earn around ₹94.8 lakh per annum as ML Platform Architects, compared with ₹75.6 lakh for Platform Engineering Managers and ₹38.4 lakh for QA Automation Leads. According to the report, senior-level pay is increasingly tied to responsibilities around AI platform governance, reliability, and security, not just technical depth alone.
Skills Are Changing Faster Than People Can Keep Up
Neeti Sharma, CEO of TeamLease Digital, said AI is changing what it actually means to be capable in the technology industry. Using AI tools, she said, is now just the baseline. What the market rewards is the ability to build, run, and govern AI in production.
Sharma also pointed to the growing importance of domain knowledge and distinctly human skills, like creativity and adaptability. The report found that nearly 39% of core skills are expected to change by 2030. As AI takes over more execution-focused work, human judgment is expected to matter more, specifically in deciding what to trust, what to question, and who stays accountable when AI-driven decisions go wrong.
Among the 16 premium roles identified across AI, Data, Cloud & Platform, and Cybersecurity, four are AI-Core and 12 are AI-Adjacent. None are classified as AI-Support, a detail the report says points to growing pressure on entry-level technology roles as AI takes over more routine tasks.
A New Phase for India’s Tech Workforce
Taken together, these findings point to a broader shift already underway in India’s technology sector. Demand is increasingly concentrated around professionals who can build, deploy, secure, and manage AI systems, while routine technology roles face mounting pressure from automation.
For employers, this means prioritising deeper AI capability over simply growing headcount. For technology professionals, specialised expertise across AI, GenAI, Data, Cloud, and Cybersecurity is becoming increasingly valuable, and increasingly well compensated. As India’s AI economy keeps expanding, the report suggests that capability depth, not headcount alone, will shape hiring, salaries, and competitiveness across the sector going forward.
