The year 2025 will be marked as the time when digital inclusion shifted from being a goal to a tangible everyday experience for every Indian. Whether it be a roadside seller taking a UPI payment or a rural farmer checking important market rates on his smartphone has ceased to be unusual, it has become the standard. The utilization of card immediate payments and online service provision have become integral to the country’s social makeup, showcasing the central government’s steadfast commitment to building a digitally empowered community.
This shift has been driven by foundational digital infrastructure: from the over 53.9 crore users of DigiLocker to the 8.34 crore registrations on the UMANG platform, providing access to thousands of public services. This widespread digital transformation is no longer a luxury for city-based businesses; it has become the essential backbone for every sector of business and administration.
However, as digital adoption deepened across the country, a more fundamental question has come into focus: who is truly included in this digital economy? For a country as linguistically diverse as India, where over 400 languages are spoken across 1.3 billion people, equitable digital participation requires more than just connectivity, it requires communication in the language of the user. This is where 2025 marked a turning point. Vernacular AI: an artificial intelligence built to understand, generate, and reason across Indian languages moved from being a ‘nice to have’ to a national necessity. Language AI began to be viewed not as a product layer, but as foundational digital infrastructure, much like payments or identity systems.
Importantly, this evolution is also reshaping how institutions think about technology. Businesses and public systems have realised that localisation is not simply about translating text; it is about context, tone, cultural relevance, and accuracy. Indian languages are rich, nuanced, and deeply contextual. Building AI systems that handle this complexity requires models trained specifically for Indian use cases, rather than generic global systems retrofitted at the last mile.
Encouragingly, several government-led initiatives are now underway focusing on language AI can accelerate the development of multilingual datasets, speech models, and translation infrastructure. These efforts signal a shift from fragmented localisation attempts to a more coordinated language-first digital strategy.
As India prepares its digital infrastructure for the years ahead, driven in large part by investments in AI, the emphasis on language will determine whether this growth remains urban-centric or becomes truly national in character.
There are valuable global lessons to draw from. Countries such as South Korea and Japan provide an example. Services like KakaoTalk in Korea and Line in Japan lead their markets by developing digital ecosystems from messaging to payments and news fully centered on their native language successfully operating a sophisticated digital economy without relying on English for primary communication.
This serves as the vision for India, an inclusive digital environment where everyone can express themselves in their native language without feeling lesser. Although the groundwork exists, the crucial choice for 2026 should be a multifaceted effort to create advanced open-source AI and language models, for every regional language of India. The variety of our languages should be viewed not as an obstacle. As our most valuable asset. By championing vernacular AI, we can complete the circle of digital inclusion, allowing every citizen, from every corner of Bharat, to rise and participate fully in the nation’s economic and technological destiny. The future of a Viksit Bharat is inherently a future spoken in a million Indian voices.
