This report was released to mark the India AI Impact Summit 2026.

      AI is transitioning into a critical stage of adoption, as organisations shift from small-scale pilots to integrating AI across essential processes and service models. For India, this evolution coincides with a uniquely strategic moment, one defined by scale, affordability and inclusion.

      India today is positioned at the forefront of AI adoption, anchored in a decade of sustained digital transformation and the development of digital public infrastructure (DPI) at a population scale. Key platforms such as Aadhaar, Unified Payments Interface (UPI) and the Account Aggregator framework have created interoperable digital rails that support data-driven service delivery across citizens and enterprises. These foundations position India to deploy AI as a mass impact enabler across sectors and demographics.

      This digital maturity is translating into a set of structural advantages that extend beyond technology alone, shaping how AI is designed, deployed and governed in India.

      memory

      Large-scale public compute infrastructure, including 38,000 graphic processing units (GPUs), is structurally reducing entry barriers to AI development

      groups

      India’s AI workforce has expanded more than threefold since 2016, now representing about 16 per cent of global AI talent

      policy

      As the world’s third-largest startup ecosystem, India is accelerating AI adoption across industries through strong policy support

      gavel

      A pragmatic AI governance architecture is enabling, embedding data protection and AI governance frameworks into operational systems for responsible deployment

      India stands at a defining inflection point where artificial intelligence is no longer a future ambition, but a present-day accelerator of national progress. The convergence of a digital-first population, strong policy commitment and enterprise readiness is unlocking a transformative wave of innovation. AI is now reshaping how organisations operate, compete and create value ushering in a new era of productivity and inclusion for Bharat.
      Akhilesh Tuteja

      Partner & National Leader, Clients and Markets

      KPMG in India

      Collectively, India’s structural advantages in AI infrastructure, talent, compute access, innovation and governance signal a transition from foundational readiness to execution at scale. Building on this momentum, the policy focus is correspondingly shifting from enabling adoption to building enduring national capabilities. Furthermore, a strategic focus on small, efficient language models tailored for local languages and constrained environments strengthens this trajectory. These models reduce compute and energy requirements while supporting real-time, on-device AI applications, expanding access to AI benefits, particularly for micro, small and medium enterprises (MSMEs), smaller cities and underserved communities.

      Union Budget 2026-27 reinforces this shift, signalling a move away from isolated experimental AI pilots towards scalable, enterprise-grade platforms enabled through multi-year investment frameworks. It further lays the foundations for an AI‑ready economy by expanding compute infrastructure, strengthening semiconductor and electronics capabilities and accelerating AI upskilling.

      Looking ahead, AI is projected to unlock USD1.7 trillion in economic value by 2035, underscoring its key role in India’s ambition of Viksit Bharat by 2047. 

      India’s AI moment is being shaped not just by technology capability, but by the country’s ability to scale solutions with purpose and pragmatism. Our model of cost-efficient compute, language led access and domain-driven innovation is uniquely suited to the needs of a diverse nation. As responsible AI frameworks mature and sovereign capabilities expand, India is set to lead with AI that is trusted, contextual and globally competitive.
      Purushothaman KG

      Partner and Head of Technology Transformation and AI

      KPMG in India


      Realising this potential will depend on coordinated action across priority areas:

      • Expanding AI compute access

        Build sovereign AI-grade computing capacity and establish a public compute exchange to provide on-demand GPU access for domestic firms and academia

      • Advancing the AI talent pipeline

        Expand industry-linked, hands-on AI learning pathways through specialised hubs across tier I and tier II cities, supported by a unified national curriculum for frontier AI skills

      • Strengthening the AI research leadership

        Develop specialised research centres in priority domains such as computational linguistics, robotics, trustworthy AI and model interpretability

      • Building sovereign AI models

        Enable open source model development under permissive licences, supported by dedicated evaluation and certification centres and an independent council for AI ethics

      As AI becomes integral to India’s economic and social development, the focus is shifting towards building enduring capabilities that combine innovation with responsibility. In doing so, India has the opportunity to define a globally relevant model of AI, rooted in scale, inclusion and long-term value creation.

      Artificial Intelligence (AI) for Bharat: Innovation and inclusion at scale

      Advancing inclusive, scalable AI innovation to propel India’s digital future

      Key Contacts

      Akhilesh Tuteja

      Partner & National Leader, Clients and Markets

      KPMG in India

      Hemant Jhajhria

      Partner, Head of Consulting

      KPMG in India

      Neeraj Bansal

      Partner and Head India Global

      KPMG in India

      Purushothaman KG

      Partner and Head of Technology Transformation and AI

      KPMG in India

      Nilachal Mishra

      Partner and Head, Government & Public Services (G&PS), National Leader - Government and Infrastructure

      KPMG in India

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