The Headline Numbers: A Closer Look
Recent data has offered a dose of optimism amid widespread anxiety about artificial intelligence and jobs. According to a widely cited Nomura report, India has seen approximately 83,100 AI-related hires, compared to 31,921 layoffs and role attritions
linked to the technology. This analysis, which reviewed employment cases across Asia from 2022 through August 2026, positions India as “ground zero” for understanding AI’s real-world impact due to its massive workforce and role as a global IT and business processing hub. While the net gain of over 51,000 jobs seems like a clear win, these top-line figures mask a much deeper, more disruptive trend taking place beneath the surface.
The Tale of Two Job Markets
The core issue is that the jobs being created are not the same as the ones disappearing. The Nomura report clarifies that most job losses are concentrated in support and back-office roles, where chatbots and automation are replacing routine human tasks. In contrast, the new hires are for IT-services graduates and professionals with specific AI-related skills, such as data scientists, machine learning engineers, and AI implementation specialists. This is creating a two-tiered labour market. Companies are showing weaker demand for entry-level employees who traditionally handled routine work. Simultaneously, the demand for experienced workers who can apply AI in a business context is soaring.
The Great Skill Shift
This dynamic reveals the central challenge is not mass unemployment, but a massive skills transition. The person whose customer service role was automated is rarely the same person being hired as an AI engineer. Industry bodies like NASSCOM have been vocal about this shift, emphasizing that the future of work is about human-AI collaboration rather than replacement. However, this requires a fundamental change in the workforce's skillset. Reports indicate a significant gap between the AI skills companies need and what the current talent pool offers. The conversation is moving away from job destruction and toward job reinvention, where nearly every role will be augmented by AI, requiring new, hybrid capabilities.
What This Means for the Indian Workforce
For professionals and those entering the job market, the message is clear: continuous learning and upskilling are no longer optional. The value is shifting from performing repetitive tasks to leveraging AI tools for higher-order activities like strategy, system architecture, and creative problem-solving. This trend disproportionately affects entry-level workers and freshers, as companies increasingly expect new hires to be job-ready with specialised skills rather than training them on the job for routine functions. As one NASSCOM report notes, the focus for employers is shifting from headcount-led selection to capability-driven evaluation. The challenge for India is not just to create AI jobs, but to equip millions of workers with the skills needed to fill them.
