India's expanding technology sector is encountering a critical talent gap in generative AI and cloud capabilities, according to a new TeamLease Digital report that finds over half of the demanded roles remain unfilled amid shifting salary premiums.

  • 53-60% gap in GenAI and cloud skilled professionals
  • Only 16% of IT workforce currently AI-skilled
  • AI-core roles command significant salary premiums

What happened

A recent report by TeamLease Digital titled 'Digital Skills & Salary Primer FY27' highlights a substantial deficit in AI-ready talent within India’s technology sector. The study analyzed 37,000 technology and digital roles, revealing a 53-60% shortage in generative AI and cloud capabilities. This shortage is the most acute in cloud skills, with a 55-60% gap, followed closely by generative AI occupations at roughly 53%. Cybersecurity, while still facing a significant 25-30% gap, is showing signs of improvement.

The report illustrates that only around 16% of IT professionals currently hold AI-related skills. This imbalance is driving a trend in salary premiums, heavily favoring roles that involve developing and managing AI applications. For example, early-career GenAI developers earn significantly more than support roles, and this wage disparity is expected to widen as demand grows, with over 1 million GenAI-related positions projected by 2026.

Why it matters

This talent scarcity poses a critical challenge for India's tech industry as companies accelerate their adoption of AI and cloud platforms to maintain global competitiveness. The widening skill gap could slow innovation and project delivery if supply does not catch up with demand. Employers are increasingly prioritizing candidates who can build, operate, and govern AI technologies rather than just use AI tools, emphasizing the need for deeper technical and domain expertise combined with creative and adaptive human skills.

Salary trends underscore the premium placed on AI-core engineering roles, reflecting the market’s urgent need for specialized talent. As AI and cloud capabilities become central to product development and service delivery, these shortages highlight the importance of upskilling and reskilling initiatives. The evolving landscape will also demand stronger leadership and judgment skills to complement technological proficiency, since by 2030 nearly 39% of core skills are expected to transform significantly.

What to watch next

The technology industry and educational institutions in India will need to address this gap through targeted training programs aligned with the three-tier model of AI talent: AI-Core, AI-Adjacent, and AI-Support. Monitoring how businesses implement upskilling initiatives and whether salary premiums continue to widen will provide key insights into how effectively the gap is closing. Additionally, tracking cybersecurity skill improvements will be important, as it remains a vital but less severe shortage area.

Industry observers should also watch for changes in hiring patterns and talent mobility as demand for GenAI roles surges past one million positions by 2026. Investment in AI governance capabilities and the integration of human creativity and adaptability into workforce strategy will be critical. The trajectory of salary growth rates—projected at 16.2% for GenAI developers—will serve as a bellwether for evolving market conditions and potential shifts in the demand for AI-related skills.

Source assisted: This briefing began from a discovered source item from Economic Times Tech. Open the original source.
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