From Niche Experts to Everyday Users
For years, the 'AI job' in India was synonymous with roles for highly specialised data scientists and machine learning engineers building complex algorithms. While those experts are still crucial, the real hiring boom has shifted. Today, companies across
IT, banking, retail, and manufacturing are desperately seeking employees who can apply AI to their daily tasks. The talent gap isn't about a lack of awareness; it's about a lack of practical application. According to a ManpowerGroup survey from 2026, 82% of Indian employers are struggling to find the talent they need, with AI skills topping the list of hardest-to-find abilities for the first time. The demand is no longer just for those who can build AI, but for the millions who can use it effectively.
What 'Applied AI' Actually Means
Applied AI refers to the practical use of artificial intelligence tools to improve efficiency, automate tasks, and derive insights. It’s less about theoretical knowledge and more about hands-on ability. For example, large banks like HDFC and ICICI use AI to detect fraudulent transactions in real-time and accelerate loan processing. E-commerce platforms like Flipkart use AI algorithms to provide personalized product recommendations based on browsing history. Even small and medium-sized enterprises (SMEs) are getting in on the act, using AI for everything from managing inventory and automating invoices to handling customer service queries with chatbots. This shift moves AI from a specialised tech function to a core business competency.
The Skills in Highest Demand
The skills that Indian employers are screening for have become increasingly specific. While foundational knowledge of machine learning remains important, the emphasis is now on a stack of practical abilities. Technical skills like Python, SQL, and familiarity with cloud platforms like AWS or GCP are frequently listed. However, the real surge in demand is for skills related to new generative AI tools. This includes prompt engineering (the art of asking AI the right questions), experience with large language models (LLMs), and the ability to integrate AI into existing workflows. Crucially, non-technical skills like data literacy, analytical thinking, and a deep understanding of business processes are just as valuable. The ideal candidate is someone who can identify a business problem and know which AI tool to apply to solve it.
Bridging the Massive Skill Gap
The demand for applied AI skills far outstrips the current supply in India. NASSCOM reports a massive gap, with as many as ten open generative AI roles for every one qualified engineer. This scarcity is driving up salaries, with workers possessing in-demand AI skills earning significant premiums over their peers. To address this, both government and private sectors are pushing upskilling initiatives. Programmes like the AI Skills Passport and NASSCOM's AI Skills Yatra aim to provide accessible training. Meanwhile, professionals at all career stages, including senior leaders, are flocking to AI courses to remain relevant. The consensus is clear: waiting is not an option. A Goldman Sachs report noted that while a small percentage of jobs are at risk of substitution, nearly half of all non-agricultural roles in India could be complemented and enhanced by AI, boosting productivity.
