The Great Salary Divide
In India's booming technology sector, a clear hierarchy is emerging, and it's being defined by Artificial Intelligence. According to the 'Digital Skills & Salary Primer FY2026–27' by TeamLease Digital, there is a stark and growing compensation gap between
professionals who build AI systems and those who merely use or support them. The report, which analyzed over 37,000 digital and tech roles, highlights that the premium is not for simply having 'AI skills' on a resume, but for possessing the deep, technical expertise to architect, deploy, and maintain complex AI models. This has created a two-tiered market where a small group of specialists are seeing their pay skyrocket, while salaries for more routine tech jobs are experiencing much slower growth. The findings point to a structural shift in the talent market, driven by intense demand and a critical shortage of advanced AI capabilities.
What Exactly Are 'AI-Core' Jobs?
TeamLease Digital categorizes AI talent into three distinct tiers to clarify the landscape: AI-Core, AI-Adjacent, and AI-Support. 'AI-Core' roles are those that involve building and owning the intelligent systems themselves. These are the architects and engineers at the heart of AI development, such as GenAI Developers, Machine Learning (ML) Engineers, and AI Research Scientists. They are the ones creating the algorithms and training the models. 'AI-Adjacent' roles apply these AI systems within established workflows. This category includes Data Engineers, Cloud Engineers, and Cybersecurity specialists who integrate and manage AI tools. 'AI-Support' roles are focused on keeping AI-enabled operations running smoothly through tasks like monitoring, validation, and first-line troubleshooting. The report makes it clear that the most significant salary premiums are concentrated exclusively in the AI-Core category.
The Paycheck Breakdown
The numbers tell a compelling story. At the entry-level (0-2 years of experience), a GenAI Developer, an AI-Core role, can expect to earn a median salary of around ₹11.2 lakh per annum. In contrast, an AI-Support role like a Technical Support Engineer starts at approximately ₹5.2 LPA. The gap widens dramatically with experience. After six to eight years, the same GenAI Developer's median salary can climb to ₹34.5 lakh. During the same period, the Technical Support Engineer's salary rises to ₹14.6 lakh. The report projects that salary growth for AI-Core roles will continue to accelerate, with a projected increase of 16.2% for GenAI Developers in FY28, compared to just 6.6% for Technical Support Engineers. This trend holds true even at the highest echelons; an ML Platform Architect with over 15 years of experience can command a salary of nearly ₹95 lakh.
Why the Unprecedented Surge?
This salary explosion is a classic case of demand vastly outstripping supply. India's tech industry is facing a severe talent shortage in specialised AI fields. TeamLease Digital estimates the talent supply gap to be around 53% for Generative AI and as high as 60% for cloud computing skills, which are often foundational for AI deployment. While many professionals have undertaken AI upskilling courses, only a small fraction—estimated to be around 16% of the IT workforce—possess the advanced, job-ready skills that companies are desperate for. With the demand for GenAI talent expected to cross one million roles by 2026, companies are engaged in a fierce competition to hire and retain the few individuals who can build, not just use, these transformative technologies. This scarcity gives top-tier talent immense leverage, directly translating into higher salary offers and faster career progression.
The Ripple Effect on the Job Market
The intense focus on high-end AI skills is having a broader impact on the tech job market. One of the key pressures is on entry-level hiring for more conventional IT roles. As companies pour resources into AI and automation, tasks like manual testing, basic operational support, and rule-based processing are becoming increasingly automated. This shift, combined with a focus on hiring experienced specialists, is creating a tougher environment for freshers in non-AI fields. At the same time, it signals a clear path forward for aspiring tech professionals. The data suggests that specializing in AI-Core disciplines like machine learning and GenAI development is currently the most direct route to a high-growth, high-compensation career in India's technology landscape. Companies are also being forced to rethink their entire compensation structures to compete for this elite talent, creating separate and more aggressive pay bands for AI-Core professionals to avoid losing them to competitors.
