The New Placement Reality
The conversation around placements in India has fundamentally shifted. Companies, from large IT firms to Micro, Small & Medium Enterprises (MSMEs), are no longer just looking at degrees and grades. [2] They are prioritising skills, and the most in-demand
skill is Artificial Intelligence. The demand for AI-related skills in the MSME sector alone surged by 164% in the last fiscal year. [9] This isn't a future trend; it's the present reality. Recruiters are increasingly using AI tools to sift through thousands of applications, making skill-based hiring the new norm. [25] This means your ability to demonstrate practical AI knowledge can get you noticed, regardless of whether you come from a Tier-1 institution or not. [25] Some reports even indicate that nearly half of all graduates are not immediately employable, not due to a lack of jobs, but a mismatch in skills for a hiring process that has already evolved. [2]
Beyond Coding: AI for Everyone
A common misconception is that AI skills are only for computer science and engineering students. This is dangerously outdated. AI is becoming a horizontal tool impacting every industry. [8] Marketers need to understand AI-driven analytics, finance professionals are using it for fraud detection, and HR teams are leveraging it for recruitment. [2] AI literacy—understanding the basic principles and applications—is becoming a core competency. [17] More than 90% of Indian employees are already estimated to be working with generative AI tools. [2] For a student, this means that regardless of your specialisation, a basic understanding of AI can provide a significant competitive advantage. The focus has moved from just building AI to applying AI to solve real-world problems. [2]
What Skills Actually Matter?
So, what does 'learning AI' actually mean for a student today? It’s less about becoming a deep learning researcher overnight and more about practical application. Employers are looking for candidates who can use AI to work smarter. [12] This includes skills like prompt engineering (learning how to talk to AI models like ChatGPT or Gemini), using AI tools for data analysis, and understanding how to apply AI in a specific business context. [10, 20] Familiarity with specific tools like Python, SQL, and at least one cloud platform like AWS or Azure is highly valued. [2] The goal is to show you can use AI to add value from day one. Many of these skills can be learned through free or low-cost online courses and certifications, creating a portfolio of small projects, or even just experimenting with publicly available AI platforms. [12, 16]
Taking Control of Your Career
The responsibility for this upskilling doesn't just lie with students. Educational institutions are also racing to adapt. Universities are integrating AI into core curricula, leveraging the National Education Policy (NEP) 2020 to allow credits from online courses. [3, 11] Government initiatives like the IndiaAI Mission and platforms like SWAYAM are also providing resources. [6, 22] However, students who proactively seek out these skills will have the clearest advantage. You can start small. Use AI tools to help with your job search itself—from tailoring your CV to preparing for interviews. [4, 21] Participate in hackathons, work on personal projects that use AI, and build a portfolio that showcases your ability to apply these new technologies. Instead of waiting for a placement officer, you can become your own career architect.
