Artificial intelligence (AI) is increasingly becoming a vital part of modern economies, influencing various sectors including healthcare, agriculture, finance, and governance. Rather than replacing human capabilities, AI is enhancing them. For India, this distinction is critical; the nation’s scale, diversity, and developmental challenges mean that AI represents more than just a technological upgrade. It acts as a powerful enabler for inclusion, productivity, and governmental efficiency.
A different AI infrastructure question
While expanding data centers and enhancing computing power are essential as the AI ecosystem evolves, real advancement is contingent on how effectively this infrastructure is utilized. Countries like India have a unique opportunity to implement AI infrastructure that benefits the populace, communities, innovators, and institutions. When aligned with actual needs, the infrastructure can yield significant, inclusive impacts.
India’s AI ecosystem is gaining traction, buoyed by national initiatives and the development of public digital platforms along with multilingual foundational models. The growing adoption of AI across various sectors indicates a promising future where AI becomes integral to the economy, promoting innovation and efficiency. These applications necessitate open ecosystems characterized by reliability, affordability, accessibility, and trust, rather than mere high performance; hence, architectural choices are pivotal.
India’s data advantage: Fuel for people-centered AI
India embarks on the AI journey with a substantial and often overlooked advantage: data available at population scale. Years of investment in digital public infrastructure have resulted in a wealth of diverse datasets spanning identity, payments, health, mobility, education, commerce, and governance. In contrast to many nations where data is fragmented or restricted to private entities, India’s data ecosystems mirror real-world human activities on a national scale.
This situation is crucial for AI’s effectiveness. AI systems are only as strong as the data training them. The diverse Indian data landscape—comprising various languages, cultures, income levels, and geographies—affords an unprecedented opportunity to create models that are not only inclusive and robust but also sensitive to local contexts. This enables AI systems to meet local realities, effectively serve underserved populations, and function well within complex environments.
However, possessing a data advantage is insufficient by itself. It must be supported by computing platforms and governance frameworks that ensure openness, trust, privacy, and value creation within the country. Purposeful, efficient AI infrastructure allows India to transform its data strength into innovation capacity while preventing the concentration of power and access.
Smarter compute as an innovation catalyst
The global AI landscape is experiencing a transformative shift. Progress is now measured by indicators like performance per watt, performance per rupee, and performance per developer, rather than just raw output. Advances across hardware, models, and software have made it feasible to derive greater insights and capabilities from fewer resources. Smaller, more specialized models alongside improved efficiency methods enable AI workloads to run closer to data sources and decision-making points.
This is vital for fostering a diverse innovation and entrepreneurial ecosystem in India. Effective and accessible AI infrastructure lowers entry barriers for startups, researchers, and small businesses, allowing creators to experiment and scale without substantial financial strain. It empowers universities and public research institutes to contribute significantly to AI developments, ensuring that innovation percolates beyond major urban centers and reaches various regions and communities.
This is how AI can evolve into a platform for entrepreneurship rather than simply a privilege of scale.
AI as an engine of inclusive economic development
People-centered AI can drive inclusive economic growth. When applied thoughtfully, AI has the potential to elevate productivity across sectors employing millions, such as agriculture, manufacturing, logistics, healthcare, education, and retail. It can enhance service quality and open new markets and business models without displacing workers.
For small and medium enterprises, AI levels the playing field by facilitating access to analytics, forecasting, personalization, and automation that were previously exclusive to larger firms. In the informal economy, AI-driven platforms can boost market access, credit evaluations, and resilience. For governmental bodies, AI can enhance focus, efficiency, and accountability in public service delivery.
The inclusive economic impact hinges on AI infrastructure that is accessible, affordable, and attuned to real-world demands.
IndiaAI Mission: aligning data, compute, and innovation
India benefits from the timely opportunity to develop much of its AI infrastructure. This presents a unique chance to synchronize data, compute, and innovation ecosystems right from the beginning.
The IndiaAI Mission can serve as a catalyst by integrating data management with efficient compute platforms, fostering shared national AI resources, and promoting open ecosystems that encourage experimentation and entrepreneurship. By embedding principles of efficiency, accessibility, and trust into the foundational framework, India can ensure that AI capabilities translate into substantial economic and social benefits.
A strategy focused on people-centered AI is most effective when integrated from the outset to achieve optimal outcomes.
A blueprint for the next phase of growth
The future of AI will not solely be dictated by who constructs the largest models or facilities. It will also depend on who can unlock the greatest human and economic potential.
India has the chance to set a new standard for AI-driven growth anchored in population-scale data, open and efficient systems, and inclusive innovation. If successful, it will not only accelerate India’s development but also present a compelling model for how AI infrastructure can prioritize people, entrepreneurs, and communities.
Ultimately, developing India’s AI future is not just a matter of machines or energy but about transforming data into opportunities and those opportunities into shared prosperity.
The author is Jaya Jagadish, Country Head and SVP, Silicon Design Engineering, AMD India.
Disclaimer: The views expressed are solely of the author, and ETCIO does not necessarily endorse them. ETCIO accepts no liability for damages caused to any person or organization directly or indirectly.
Published On May 8, 2026 at 08:00 AM IST
