India’s AI awakening: Reskilling for growth beyond IT

Artificial Intelligence is no longer a distant technological promise; it is steadily reshaping how economies function and how work itself is organized. This is happening across sectors from manufacturing to retail sector, hospitals, classrooms and government offices. AI systems are beginning to automate routine processes, analyse large datasets and assist in decision making. 

For India, this technological shift comes at a critical moment. With one of the world’s youngest workforces and a rapidly digitising economy, the country must ensure that AI becomes a force multiplier for human productivity rather than a source of widespread job anxiety. The real challenge is not automation itself but preparing the workforce to transition from “AI illiterate roles” to “AI literate roles”. 

AI set to reshape routine jobs across sectors

India’s economic structure illustrates the scale of this transition. Lakhs of workers are engaged in sectors such as manufacturing, retail, logistics, healthcare, agriculture, education and public administration. In each of these sectors, a large portion of tasks involve routine processes like documentation, scheduling, reporting, data entry, customer interaction or repetitive operational work. These are precisely the activities where AI tools are beginning to assist or automate workflows. 

Yet history shows that technological disruption rarely eliminates work; it changes the nature of work. AI is likely to reshape lakhs of roles across sectors while simultaneously creating new forms of employment that combine human judgment with machine intelligence. The workforce of the future will therefore require not only technical knowledge but also stronger capabilities in problem solving, communication, management and ethical decision making. 

In this context, the distinction between AI literate and AI illiterate workers will become a defining factor of employability. AI literacy does not necessarily imply advanced coding or algorithm design. Instead, it includes the ability to work with intelligent systems, interpret automated insights, supervise AI enabled processes and apply data driven thinking in everyday professional roles. Employees across functions starting from human resources and finance to supply chain management and customer service will increasingly rely on AI enabled tools to perform their responsibilities more efficiently. 

This transformation is already visible across industries. In manufacturing, AI systems support predictive maintenance, quality monitoring and robotics integration. In retail and logistics, AI helps optimize supply chains and personalize consumer experiences. In healthcare, diagnostic support systems and tele-medicine platforms are expanding access to services. In agriculture, AI driven precision farming tools help farmers improve productivity and climate resilience. Even in education and governance, intelligent systems enabling personalized learning and more efficient public service delivery. 

The scale of change is substantial. Over the next decade, lakhs of jobs in India could be reshaped by AI enabled systems. At the same time, new roles will emerge that require human oversight of AI systems, data interpretation, operational supervision and creative problem solving. Rather than replacing workers, AI is likely to shift many roles toward higher value activities where human judgment remains indispensable. 

Preparing the workforce for this transformation requires a systemic approach to skilling. India must move beyond the traditional model where technology skills are confined to specialized sectors. Instead, AI awareness and digital capability must become foundational employability skills for the entire workforce. Training programs should therefore integrate AI literacy with management skills, communication capabilities and ethical understanding of emerging technologies. 

This is where institutions focusing on sector skill that cuts across manufacturing and services will be uniquely positioned to enable workforce readiness for emerging technologies by embedding employability skills, managerial capabilities and digital awareness into national skilling frameworks. Such initiatives can ensure that AI readiness becomes part of mainstream workforce development rather than remaining confined to specialized technology domains. 

IndiaAI Mission lays foundation for AI ecosystem

At the national level, the IndiaAI Mission provides an important institutional foundation for India’s AI ecosystem. Through investments in compute infrastructure, public datasets, research support and responsible AI frameworks, the mission aims to expand access to AI capabilities across industries. Combined with India’s success in building large scale digital public infrastructure, these initiatives could position the country as a global leader in inclusive AI adoption. 

However, technology alone cannot guarantee inclusive growth. The decisive factor will be how effectively India prepares its workforce for the transition. Reskilling programs, industry partnerships and continuous learning models must ensure that workers across sectors from factory technicians and service professionals to managers and administrators, can confidently operate in AI enabled environments. 

The narrative around artificial intelligence often oscillates between optimism and fear. Yet India’s opportunity lies in shaping a third path: one where human capability and intelligent technology evolve together. With the right policy support, institutional collaboration and skill development strategies, AI can expand productivity, create new opportunities and strengthen India’s competitiveness in the global economy. 

India’s demographic dividend offers a historic advantage. If the country succeeds in transforming its workforce from AI illiterate to AI literate over the coming decades, the age of artificial intelligence may well become an era of unprecedented human opportunity. 

(Col. Pokhriyal (Retd.), CEO, MEPSC; Dr. Verma, Partner and Government Segment Leader, Grant Thornton Bharat. Views are personal.)