More Jobs Created Than Lost, For Now
Recent data paints a surprisingly optimistic, albeit complex, picture of AI's impact on Indian employment. A Nomura report covering 2022 to August 2026 found that India added approximately 83,100 AI-related jobs, compared to 31,921 positions lost to AI-driven
automation. This translates to roughly 2.6 new jobs for every role impacted. This trend positions India as a global 'ground zero' for understanding AI's real-world effect on the workforce. However, this net gain masks a significant underlying shift: the jobs being created are not the same as those being lost. The roles being eliminated are often in support functions, replaced by tools like chatbots, while the new roles demand specialised IT and AI skills.
The Rise of the 'Augmented' Worker
The dominant narrative is no longer simple replacement, but augmentation. Companies are rapidly integrating AI into daily operations, with an EY survey showing 88% of Indian employees now use AI at work. This widespread adoption is creating a 'mixed market' where professionals are expected to work alongside AI, leveraging it to enhance productivity and innovate. A Deloitte survey highlights that 93% of Gen Z and 95% of millennials in India already use AI in their day-to-day work, primarily for learning and development. This has led to a focus on what firms are calling an 'AI-native' workforce — professionals who are not just users of AI, but can apply it with deep engineering and business judgment.
A Widening Skills Gap and a Two-Tier Market
Despite high adoption rates, a critical skills gap threatens to create a two-tier job market. While companies are eager to hire, a Nasscom and Indeed report notes that 58% of employers struggle with low applicant volume for AI roles, and 50% face a skills mismatch. This has created a paradoxical situation. On one hand, there's a massive demand for digitally skilled talent, with TeamLease Digital projecting a need for 30 million such professionals by 2026. On the other, even professionals currently in AI and machine learning roles feel insecure, with a recent survey from Blind finding that 66% expect layoffs in their teams as companies refine their AI strategies. This anxiety suggests that even specialised roles are evolving quickly, demanding continuous learning.
How to Plan Your Career in the AI Era
For individuals, this new landscape demands a proactive approach to career planning. The emphasis is shifting from a traditional linear career to a 'portfolio career' combining multiple skills and even income streams. The first step is to embrace continuous upskilling. With an estimated 40% of fundamental job abilities likely to change, reskilling is no longer optional. Professionals should focus on acquiring both technical AI skills—like prompt engineering and AI compliance—and uniquely human skills like critical thinking, creativity, and strategic decision-making, which are becoming more valuable as routine tasks get automated. Secondly, it's crucial to adopt a mindset of collaboration with AI. Learning to use AI tools effectively to augment your current role can immediately boost your value and productivity. Finally, career planning must become more flexible. The data suggests that demand is rising for experienced professionals who can apply AI within a business context, while entry-level hiring is weakening in some sectors. This means gaining deep domain expertise in your field and then layering AI skills on top of it is a powerful combination.
