Why 15 lakh engineers aren’t enough for India’s AI economy

India produces approximately 1.5 million engineering graduates annually, a figure that should ideally support the nation’s expanding digital economy. However, the rapid evolution of artificial intelligence is altering hiring needs and compressing the timeline for acquiring relevant skills, revealing a significant gap in job-ready talent. As noted by Kapil Joshi, CEO of Quess IT Staffing, the current demand has shifted dramatically from a broad spectrum to a concentrated focus on AI, data analytics, cloud computing, and cybersecurity. Just two years ago, these technology areas constituted only 30% of hiring needs, but that figure surged to 52% last year and has now reached nearly 60%. This rapid change has left many recent graduates ill-equipped for the job market. Although leading institutions are beginning to weave emerging technologies into their educational programs, the exposure remains limited. Joshi pointed out that while India produces 1.5 million engineers each year, only about 100,000 gain exposure to cutting-edge technologies. As the job placement season approaches, stark disparities are emerging among graduates from different institutions. Students from Tier 1 and a few Tier 2 colleges, particularly those with strong research and development facilities, are experiencing robust hiring rates. In contrast, graduates from other institutions are finding it increasingly difficult to secure positions. Joshi emphasizes the clear market demand for skills in data, cloud computing, and cybersecurity, as well as the growing interest in platform engineering. Amidst global layoffs in the tech sector, including Oracle’s recent announcement of 30,000 job cuts, job seekers face heightened anxiety. Nevertheless, the appetite for roles in emerging technologies remains strong and largely unmet. For example, while India has around 320,000 cybersecurity professionals, the demand last year alone was estimated at 800,000, highlighting a significant supply-demand imbalance. A critical issue is the rapid pace of technological advancement. With new programming languages, tools, and frameworks emerging every two to three years, traditional four-year engineering programs struggle to keep pace. By the time curricula are updated, the technology landscape may have shifted again. Joshi explains that despite the best efforts for collaboration between academia and industry, producing industry-ready talent at scale remains a challenge. This situation is prompting a shift in hiring practices, with companies increasingly opting for internship and apprenticeship models over direct campus recruitment. Such approaches allow employers to train candidates in real-world settings before offering them full-time positions. Joshi advocates for short-term reskilling initiatives and notes that government support for internships and apprenticeships is yielding positive results. As a result, many fresh graduates are entering the workforce through these alternative pathways rather than traditional hiring methods. To realize its ambitions in AI, India’s talent development framework needs urgent recalibration. Without faster skilling cycles and stronger alignment between industry needs and academic training, the country risks having a surplus of degrees but a deficit of deployable talent.