India stands at a crucial demographic and economic inflection point, making decisive strides toward the Viksit Bharat 2047 ambition articulated by Prime Minister Modi. Artificial intelligence (AI) plays a critical role in enabling this vision, delivering massive productivity gains, innovation, and growth. For India to become a $5 trillion economy, AI must be leveraged as an essential force multiplier across economic growth, governance, and social inclusion.
India's Readiness for AI
India is well-positioned to harness AI benefits due to vast volumes of data across sectors, a strong demographic dividend, and a vibrant innovation ecosystem. Initiatives like Digital Public Infrastructure (DPI) create fertile ground for scalable AI systems. However, India's linguistic, cultural, and socio-economic diversity presents both challenges and opportunities. The MANAV Vision national framework for ethical and inclusive AI governance helps address bias in locally relevant ways.
Preparing for Agentic Enterprises
The AI conversation is evolving toward autonomous, action-oriented systems or 'agentic enterprises,' holding immense promise for healthcare, finance, manufacturing, agriculture, and public services. Unlocking this potential requires a strong foundation spanning technological, organizational, and human aspects. It must combine structured and unstructured data in an accessible and secure manner, with governance at the center. Organizations often deploy a proliferation of AI agents and siloed applications, leading to inconsistent decisions, duplicated efforts, and diminished returns on AI investments.
As AI systems become more powerful, safeguards against bias, misinformation, and misuse must evolve in parallel. This is especially important in a diverse country like India, where poorly designed systems can inadvertently exclude or disadvantage communities. Without a unified approach, AI systems may remain efficient in isolation but fail to deliver meaningful, nationwide impact. A cohesive foundation integrating data, models, and workflows into a seamless ecosystem is crucial. To secure a position among the top three AI superpowers globally, as envisioned by PM Modi, timely steps to build foundational elements are critical.
Democratisation of Data
Data must become universally accessible, not restricted to specialized teams. When employees across an organization can interact with, interpret, and derive value from data, they unlock faster decision-making and broader innovation. Democratization is about usability, requiring tools and platforms for intuitive engagement. Users must be empowered to ask questions, test hypotheses, and generate insights without heavy technical dependence. In India, this means ensuring accessibility across languages and digital literacy levels.
A Strong Organisational Backbone
Designing for scale is crucial. The Government's IndiaAI Mission, with an outlay of over ₹10,000 crore, works to democratize access to AI resources. At an organizational level, a unified control plane connecting data, AI models, and applications into a cohesive system is critical. This architecture should be composable and interoperable for seamless integration across diverse tools and ecosystems. Equally important is governance: embedding guardrails ensures decisions are explainable, auditable, and aligned with policies. Real-time observability, security controls, and risk management frameworks maintain trust and compliance.
People at the Core
The most critical pillar is the human one. As AI takes on more execution, human contribution evolves but does not diminish. Skills such as judgment, critical thinking, ethical reasoning, and relationship management become more important. As AI makes output generation easier, the real differentiator lies in challenging AI systems, contextualizing insights, and taking ownership of outcomes. Workforce transformation must be deeply integrated with technology adoption.
The Road Ahead
AI is already demonstrating tangible impact on India's transformation, from early detection of diseases like tuberculosis to personalized learning platforms for students in rural and government schools. Grassroots initiatives leverage AI to empower communities, such as dairy farmers receiving real-time insights on livestock management. Yet, technology alone will not determine success. India's AI aspirations depend on strong foundations, thoughtful governance, and human-centric design.
With the right investments in infrastructure, data, and skills, India can leverage AI not just for efficiency but for inclusive growth, bridging development gaps, expanding access, and creating new economic opportunities for a Viksit Bharat.
By Vijayant Rai, Managing Director- India, Snowflake
