India’s education and skilling ecosystem is at an inflexion point. As artificial intelligence (AI) becomes deeply embedded in how companies operate, the focus is shifting from digitising classrooms to building an AI-ready workforce. According to an Inc42 survey of over 200 founders, 60% reported integrating AI into customer or product workflows. This signals that AI is quietly compressing hiring across support, operations, basic coding, and content roles. However, demand for AI operations specialists, data stewards, and domain-led experts who can work alongside intelligent systems is rising. The traditional education-to-employment model is being tested, as skills now change faster than curricula can keep up. For edtech startups, employers, and policymakers alike, the question is no longer about access to education, but about continuous employability in an AI-driven job market. Against this backdrop, let’s understand how AI is redefining the education-to-employment equation. What ‘Education-To-Employment’ Means In An AI Job Market According to Nipun Sharma, CEO of TeamLease (degree apprenticeship), in an AI-driven job market, what the education-to-employment model must do is to address the growing gap between academic timelines and fast-changing technology cycles. “Most curricula refresh every 3 to 5 years, while AI tools, models, and workflows now evolve every 6 to… Read MoreInc42 Media
