From Code to Commerce
For years, the gold standard for AI talent was a research scientist with a deep understanding of complex algorithms. Today, the ground has moved. While AI/ML hiring in India saw a dramatic 37% year-on-year jump as of March 2026, the demand is not for academics
but for applicators. A recent study found that the biggest hiring challenge for Indian firms is finding talent with a blend of technical expertise and sharp business understanding. The focus has pivoted from building experimental models to deploying production-ready AI systems that solve specific business problems, such as increasing sales, reducing costs, or improving customer engagement. This marks a crucial transition from AI as a research function to AI as a core business driver, with a Dell Technologies study finding that 70% of Indian organisations now consider AI a strategic priority.
The Rise of the AI Translator
The most sought-after professional is no longer just a coder but an 'AI translator'—someone who can bridge the gap between a company’s technical capabilities and its strategic goals. The demand isn't just for people who can write Python code; it's for individuals who can ask the right business questions first. Roles like 'AI Product Manager' and 'AI Solutions Consultant' are becoming increasingly common, with salaries reflecting their high value. These roles require a unique hybrid skillset: a solid foundation in machine learning and data science, combined with domain knowledge of a specific industry, strong communication skills, and the business acumen to identify opportunities and measure return on investment. According to a Forbes India analysis, business judgement—the ability to decide if a technologically possible solution makes business sense—is the critical missing piece that companies are now desperate to find.
Where the Jobs Are
This talent demand is no longer confined to the tech sector. While IT services and global capability centres (GCCs) remain major recruiters, industries like banking and financial services (BFSI), healthcare, retail, and manufacturing are aggressively hiring AI talent. Banks are using AI for fraud detection and personalised customer service, while retailers like Myntra use it to power recommendation engines and optimise supply chains. In manufacturing, companies such as Tata Motors deploy AI for predictive maintenance to avoid costly downtime. The common thread across these sectors is the move towards production-level implementation. A study highlighted that AI adoption in key Indian sectors had already reached nearly 48% in 2024, signaling a widespread shift from experimentation to core business integration. This broad adoption is creating a massive demand for skilled professionals, with NASSCOM estimating a need for over a million AI and ML-skilled individuals by 2026.
Building an AI-Ready Workforce
Faced with a significant talent gap, Indian companies are adopting a two-pronged strategy: hiring and upskilling. The hiring process itself has changed, with employers prioritizing portfolios of real-world projects over traditional degrees. At the same time, there is a massive push to upskill the existing workforce. Major IT firms like TCS and Infosys are training hundreds of thousands of their employees in AI to make them 'AI-aware' and ready for integration projects. Educational platforms are seeing a surge in enrolments for AI courses, particularly from experienced working professionals looking to pivot their careers. This focus on continuous learning is seen as essential for both individuals and the nation, ensuring that India's workforce can meet the evolving demands of a global economy increasingly powered by artificial intelligence.
