The New Definition of AI-Ready
For years, 'AI skills' was shorthand for highly specialised roles in coding, data science, and machine learning. Today, that definition is radically expanding. The new AI-ready professional is not necessarily a coder, but someone who can effectively use
AI tools to solve business problems, regardless of their department. This shift is about moving from building AI to applying AI. A recent Naukri report highlighted a nearly six-fold increase in the mention of AI-related skills in non-technology job descriptions since 2020. It signifies a crucial change in employer expectations: they are looking for professionals who can integrate AI into their daily workflows to enhance efficiency and drive results, transforming AI from a niche technical field into a mainstream business competency.
AI in Every Department
The cross-functional advantage of AI is most visible when looking at how different roles are evolving. A marketing manager can now use AI to analyse market trends and generate initial campaign ideas in minutes, not days. A financial analyst can automate parts of their reporting, freeing up time to focus on interpreting data and identifying risks. In human resources, recruiters are using AI to screen profiles more efficiently, allowing them to focus on the human aspects of hiring. Even in traditionally non-tech sectors like education and media, AI is being used for everything from personalizing learning paths to drafting content. This is not about replacing human expertise but augmenting it. The value is no longer just in doing the task, but in knowing what to ask the AI, how to interpret its output, and when to overrule its suggestions.
What Indian Companies Are Demanding
The demand for this new breed of AI-savvy talent is surging across India. Hiring for AI and machine learning roles grew by 20% year-on-year in September 2026. This isn't just happening in the IT sector. A recent analysis found that nearly 65% of new roles in India's Global Capability Centres (GCCs) now require AI skills, a clear sign that multinational companies are building teams focused on specialised capabilities, not just scale. Employers are increasingly prioritising candidates who can demonstrate practical application of AI. This has led to the rise of 'skill stacking', where professionals combine their core domain expertise—be it in finance, marketing, or operations—with AI literacy skills like prompt engineering and workflow automation.
Bridging the Emerging Skill Gap
The rapid integration of AI has created a noticeable skills gap. One LinkedIn report revealed that while recruiters are hunting for AI skills, many job seekers feel unprepared for the technological shift. In response, India's ecosystem is rapidly adapting. Professionals and students are flocking to upskilling platforms, and it's not just engineering graduates. One study found that nearly a quarter of those learning AI skills now come from non-technical backgrounds. This upskilling is paying off, with reports of significant salary increases for professionals who add AI to their skillset. Recognizing this trend, major platforms and educational institutions are making AI-related courses more accessible, helping to build a workforce that is not just aware of AI, but proficient in its application.
