Beyond Tech for Tech's Sake
For years, the conversation around skills in India has often felt like a binary choice: pursue deep technical expertise or build a strong foundation in business management. The rise of Artificial Intelligence is rewriting that playbook entirely. The most
valuable professionals today are not just those who can code an AI model, but those who can connect that model to a real-world business problem and drive measurable results. It is estimated that a significant portion of jobs in India will soon require AI proficiency. The new premium is on 'translators'—individuals who are fluent in the language of both AI capabilities and business strategy. This isn't about every manager becoming a data scientist. It's about a marketing head understanding how generative AI can ideate campaigns, a finance lead using AI for forecasting, or an HR professional leveraging it to screen talent more effectively. The focus has shifted from the technology itself to its practical and profitable application.
Why This Hybrid Skill Set Is in Demand
Companies are realizing that implementing AI without a clear strategic purpose leads to a 'deployment-impact gap'—installing software doesn't automatically boost the bottom line. The real value is unlocked when AI is guided by deep domain knowledge. For example, an AI tool might identify a correlation in sales data, but a business expert is needed to understand the market context, customer behaviour, and competitive landscape to turn that insight into a successful strategy. This is why roles that blend these skills are emerging, such as 'AI Product Manager', 'AI Transformation Lead', and 'Forward Deployed Engineer'. These professionals work at the intersection of tech and business, ensuring that powerful AI tools are used to solve the right problems and create tangible value, a sentiment echoed by the rising demand for such roles. Businesses aren't just looking for AI users; they're looking for AI strategists who can connect technology to revenue and growth.
The New Power Roles
Across sectors, new and evolved job titles reflect this trend. In finance, 'AI Transformation Leads' are redefining banking operations, while 'AI Strategy Consultants' are in high demand. The healthcare sector is seeing AI used to interpret X-rays and scans, creating a need for professionals who understand both medical protocols and machine vision. Even manufacturing and agriculture are adopting AI for optimisation, requiring a blend of operational knowledge and tech savvy. A recent Goldman Sachs report highlights that while some routine clerical jobs face substitution risk, a much larger portion of the workforce—up to 48%—will see their roles complemented and augmented by GenAI. This augmentation allows workers to automate repetitive activities and focus on higher-value, strategic tasks, driving a productivity boost. The key is moving from being a passive user of tools to actively shaping how they are deployed.
How to Build This Modern Skill Mix
For professionals looking to stay ahead, the path forward involves a two-pronged approach. First, those with a strong business background should actively seek 'AI literacy'. This doesn't necessarily mean learning to code. Instead, it involves understanding AI concepts, learning prompt engineering, and familiarising oneself with AI tools relevant to their field. Many are enrolling in courses focused on AI for business, Generative AI applications, and AI for product managers. Second, technical professionals should build their business acumen. This means understanding financial metrics, market dynamics, and customer needs. The goal is to answer not just 'Can we build it?' but 'Why should we build it?'. Professionals are increasingly funding their own upskilling, recognising it as essential for career longevity and growth. This proactive learning is crucial as demand for professionals with AI skills is expected to continue growing significantly.
