Mission to Make AI Work for all Indians: Leading the Conversation Over 100 Weeks
The AI4India Weekly #100
The idea of the AI4India forum started with a few conversations among like-minded people who harboured the same ambition. AI is a transformational technology and we were determined to play our part in ensuring India takes an early lead in development and deployment of AI technology, models and products that are inclusive and relevant with a mission to make AI work for the benefit of all Indians.
What followed was a series of collaborations and initiatives to expand the conversation around the right path for India to follow. The AI4India Weekly Newsletter was an effort to highlight aspects and developments most relevant to India’s AI journey with regular emphasis on initiatives that will have maximum impact.
Across these 100 weeks, the AI4India newsletter has grown alongside India’s AI landscape. The work has involved staying close to how ideas move across different spaces, from research and policy to the systems where they are actually put to use, and how those movements gradually reshape what AI looks like in practice for India.
That conversation has now matured. We have moved past the initial buzzwords to a period of profound structural transformation. By looking beyond the hype, we can identify a distinct Indian blueprint for AI — one that prioritises domestic resilience, linguistic depth, and mission-critical utility. This is the story of how India is moving from being a primary consumer of global models to a strategic architect of its own sovereign intelligence.
This milestone offers a moment to take stock of that progression.
Setting the Course
In the early phase, India’s AI conversation leaned heavily on external reference points. The dominant systems in circulation were built in the US and China, and the benchmarks that shaped progress reflected those ecosystems more than India’s own conditions. Even widely used applications often assumed stable connectivity, uniform language contexts, and infrastructure reliability that did not map neatly onto the realities of use across Indian settings.
Much of the early work, including this newsletter’s coverage, focused on bridging that gap as a necessary shift in perspective: what changes when the unit of design is not an abstract user, but a multilingual, multi-context population operating across very different levels of access?
Sovereignty as a Strategic Moat
A number of factors led us to believe that building Sovereign AI was crucial. Protecting India’s heritage, culture and linguistic diversity (sorely missing from international models), growing geo-political uncertainties and dominance of big tech persuaded us to advocate for sovereignty at a time when many were not convinced.
In a recent interview, our co-founder Shashi Shekhar Vempati framed technological sovereignty as a strategic imperative for India, highlighting the ability to build and operate systems as critical to national function.
Collaboration as a Model
Sovereignty was a large ambition. The task is highly complex and resource-hungry. It would entail building solutions across the AI stack, from chips to applications. Understanding the enormity of the task, it was envisaged that a collaborative framework among players working on every layer of the stack, including multiple solutions, would accelerate development and would be far more efficient.
The AI4India forum evolved to represent leading developers/ companies from each of these layers. The AI4India weekly captured India’s initiatives, developments, projects and more from every angle – India’s Semiconductor Mission, IndiaAI Compute Infrastructure offering, Frontier model developments, RDI fund, Indian AI products and solutions, and news on AI adoption by industries and governments.
Designing for Inclusivity: “Multilingual Multi-Context”
As a key aspect of building AI for all Indians, solutions have to operate in the language and context of every Indian. We highlighted developments by BharatGen, Sarvam, Gnani and many others building AI models which use Indian languages and historical and cultural context at the core of their training and development. These models are growing rapidly in capabilities and gaining wide adoption.
Ethical and Responsible Access to Data: The DataDaan Initiative
Building sovereign, inclusive, culturally relevant AI entails training models on vast amounts of Indian data, in the languages of India, with local context. We believe that while all such data should be made available to model developers, it should be done with responsibility, consent and under the laws of India. Thus came the initiative of DataDaan, encouraging data owners to share their data sets with model developers with the appropriate consent framework.
Infrastructure Push
2025 stands as the year India transitioned from “intent to infrastructure.” The government has signalled that AI is now a core utility, much like electricity or highways, through massive capital allocations in research, AI compute and sovereign model development.
By treating compute and data as foundational infrastructure rather than a software niche, India is lowering the barrier to entry for innovators. This shift enables a trajectory where the “compute divide” is bridged by public-sector backing, allowing domestic researchers to train large-scale models without being beholden to global Hyperscalers.
Democratising Compute
A major hurdle for AI democratisation has been the scarcity and cost of high-end GPUs. India’s response has been a masterclass in “frugal innovation”. Development of low-cost AI-enabled CPUs and models capable of running on such chips, providing intelligence to even low-end devices, is an area of focus for the forum and highlighted through the weekly coverage.
This realisation decentralises AI development, moving it away from the GPU-heavy clusters of major tech hubs and into the hands of innovators in Tier-2 and Tier-3 cities. By optimising for standard hardware, India is ensuring that AI innovation remains inclusive and distributed.
A significant achievement is of the entirely indigenously designed and developed D2M chip, which will enable AI on the edge, taking intelligence to the masses via low-end devices through next-generation Digital Public Good Infrastructure (DPGI).
AI Applications that Solve India’s Problems
While the West focuses on flashy consumer Chatbots, India’s most impactful AI wins are occurring in “boring” but mission-critical operational integrations. These are ground-level applications that address structural inefficiencies in essential services such as Healthcare, National Security & Governance, Agriculture, Public Safety, Inclusion, Logistics, Ease of Governance and Education.
Building AI for the world
The narrative of India as the world’s “back office” is officially dead. With over 1,700 Global Capability Centres (GCCs) generating $64.6 billion in revenue, we are witnessing a massive shift in the global value chain.
These centres are no longer just providing low-cost labour; they are moving into end-to-end AI development and product ownership. India is now capturing the equity and intellectual property (IP) of the AI revolution. This transition means that the engineering leadership and architectural decisions for global AI systems are increasingly being made in Bengaluru, Hyderabad, and Pune, shifting the centre of gravity of global tech IP.
People Power: Reskilling is Non-Negotiable
Our efforts are not just focused on technology development but also on people development. The human element of the AI transition is the ultimate bottleneck. AI literacy is no longer a specialised skill — it is a baseline requirement for India’s workforce.
“The biggest thing is that AI is here to stay and move ahead. Everyone needs to understand how they can work and their capabilities. And we need to reskill and move, actually.” — Alok Agrawal, AI4India Co-founder
AI4India’s report on “Future of Employability” highlighted the key issues facing job seekers and how industry, institutions and students must all evolve to be ready for the emerging reality.
The 2047 Trajectory
India’s vision for 2047 to be a top-three global AI superpower is within reach, but the path is fraught with structural tensions. The primary challenge remains the “Talent to Output” gap: India produces the world’s best AI talent, but it must now convert that talent into domestic IP and scaled products rather than exporting its best minds to foreign firms.
As India balances its need for sovereign control with its ties to the global ecosystem, one truth remains: the foundational question of “Can we build it?” has been answered with a resounding yes.
The question for the next decade is more profound: Now that India has secured its seat at the AI high table, what kind of future will it choose to build with that power?
We will continue to explore these questions and provide answers and frameworks. We encourage all those inspired by our mission to come forward and join us in this journey.
#DataDaan - Donate for a Digital India
Aligned with the IndiaAI Mission and MeitY’s efforts to ensure the availability of AI-usable data, the #DataDaan campaign by AI4India is now live on DataDaan.org. This initiative invites individuals and organizations to contribute valuable datasets, enriching India’s AI ecosystem and driving innovation across sectors. The platform provides a streamlined process for data contribution, ensuring responsible and impactful AI development. Visit DataDaan.org to explore the initiative and be part of this transformative effort.
NOTE: The views expressed by the authors are their own. AI4India as a forum does not endorse any comments on specific brands, products, platforms or companies.
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