Beyond the Tech Department
For years, 'AI skills' were synonymous with specialised roles like data scientists and machine learning engineers. Today, that picture is changing dramatically. Indian companies are increasingly seeking professionals who can apply AI tools and concepts
within their existing functions. A recent report noted that job postings requiring AI skills in India more than doubled in the first quarter of the fiscal year, with demand surging in non-tech roles. This isn't about every employee becoming a coder; it's about marketers, financial analysts, and operations managers using AI to make smarter, faster, and more data-driven decisions. The shift reflects a maturing market where AI is moving from a niche experiment to a mainstream business tool for driving efficiency and growth.
Marketing Gets Hyper-Personal
In the marketing world, AI is the new engine of customer engagement. Indian businesses are leveraging AI to deliver highly personalised campaigns at a scale previously unimaginable. Marketers with AI skills are using predictive analytics to forecast consumer trends, natural language processing (NLP) to analyse customer sentiment on social media, and generative AI tools to create ad copy and content variations. AI-powered chatbots, particularly on platforms like WhatsApp, are handling customer queries and qualifying leads automatically, providing 24/7 support. For marketing professionals, understanding how to use these tools—from Google's Performance Max to HubSpot AI—is quickly becoming a baseline expectation for career advancement.
Finance Seeks Predictive Power
The Indian financial services sector has become a major adopter of AI to manage risk and unlock new opportunities. Financial institutions are using AI for much more than just automating reports. Key applications include real-time fraud detection, where AI algorithms monitor billions of digital transactions, like those on the UPI network, to spot suspicious patterns instantly. In lending, machine learning models are revolutionising credit scoring by analysing alternative data to assess individuals with little to no formal credit history, thereby promoting financial inclusion. Roles in finance increasingly require skills in data analysis and familiarity with AI-powered platforms for everything from anti-money laundering (AML) compliance to algorithmic trading.
Operations Drives for Efficiency
In logistics and operations, a field defined by managing complex, moving parts, AI is bringing a new level of intelligence and predictability. Companies are using AI for more accurate demand forecasting, which helps optimise inventory and prevent stockouts. In manufacturing and supply chain management, AI-powered systems enable predictive maintenance, alerting teams to potential equipment failures before they happen. Human-AI collaboration models are being developed to enhance everything from warehouse management to route optimisation for last-mile delivery. For an operations professional, skills in interpreting AI-driven analytics can mean the difference between reacting to problems and proactively preventing them.
The Upskilling Imperative
This cross-functional adoption of AI creates a significant challenge and opportunity: the need for widespread upskilling. Reports suggest a vast majority of India's workforce will need to acquire new AI-related skills to stay relevant. The demand is not just for technical experts who can build AI models, but for a much larger pool of AI-informed professionals who can effectively use AI tools and interpret their outputs. While many professionals are already using AI tools in their daily work, a gap remains in the ability to build and apply these solutions to core business problems. This has led to a surge in professionals seeking AI-related training, recognising that continuous learning is essential in an AI-driven economy.
