The India–AI Impact Summit 2026, held in New Delhi from 16–21 February, marked a watershed moment in India’s emergence as a global artificial intelligence powerhouse. Convening heads of government, technology CEOs, policymakers, and AI researchers from over 100 countries, the summit reflected both the scale of global interest in India’s digital trajectory and the country’s growing influence in shaping the future of AI. From sovereign compute infrastructure and renewable-powered data centres to multilingual foundation models and agentic fintech systems, the event showcased India’s intent to build an end-to-end AI ecosystem.
Record investment commitments, strategic global partnerships, and policy alignment around responsible AI underscored a decisive shift — positioning India not merely as an AI talent hub, but as a builder, deployer, and standard-setter in the evolving global AI order.
Artificial Intelligence (AI) has emerged as a critical driver of India’s development trajectory, enhancing governance frameworks and reshaping public service delivery in line with the vision of Viksit Bharat@2047. Reaffirming the country’s commitment to building responsible, inclusive, and human-centric AI systems, Prime Minister Narendra Modi inaugurated the India–AI Impact Summit 2026 on 16 February 2026 at Bharat Mandapam in New Delhi.
As the first global AI forum to be hosted in the Global South, the Summit has drawn unprecedented international participation and engagement, underscoring India’s growing leadership and influence in steering the global dialogue on Artificial Intelligence.
The inaugural session was attended by more than 20 Heads of Government and 59 ministerial-level representatives, along with official delegations from 118 countries. In addition, the Summit brought together over 100 global AI leaders, CEOs, and CXOs, as well as more than 500 distinguished AI experts from across the globe. Some of the most influential leaders in technology included Sundar Pichai, CEO, Alphabet; Sam Altman, CEO, OpenAI; Dario Amodei, CEO, Anthropic; Demis Hassabis, CEO, Google DeepMind and Mukesh Ambani, Chairman, Reliance Industries.
Showcasing the scale of global enthusiasm around India’s AI journey, the Summit attracted over five lakh participants. The event was preceded by 550 pre-summit programmes held across 30 countries, and complemented by more than 500 side events during the main proceedings—positioning it among the most extensive and inclusive multi-stakeholder AI engagements to date. It focused on key themes such as AI governance, societal benefits, job disruption, and energy use, while fostering global collaboration and transparency.
The summit evolved into a high-stakes commercial platform as several AI companies announced major deals and strategic tie-ups with Indian firms.
According to Union Minister Ashwini Vaishnaw, the AI summit attracted infrastructure-related investment commitments surpassing US$ 250 billion, underscoring the magnitude of capital flowing into data centres, computing capacity, digital connectivity, and power systems required to drive the expansion of artificial intelligence.
India’s Reliance Industries and its telecom subsidiary Jio will invest nearly US$ 110 billion over the next seven years to develop artificial intelligence and data infrastructure, the company’s Chairman Mukesh Ambani announced. The company positions this initiative as a step toward ushering India into the “Intelligence Era,” focused on cutting dependence on overseas computing. It is a strategic domestic approach to reduce AI compute costs and ensure low-latency services nationwide.
In a major boost to India’s AI infrastructure ambitions, the Adani Group announced that it will commit US$100 billion by 2035 to establish renewable energy-powered AI data centres. The conglomerate noted that this investment is likely to stimulate an additional US$ 150 billion in adjacent sectors, including server manufacturing and sovereign cloud platforms. Collectively, these commitments are projected to create a US$ 250 billion AI infrastructure ecosystem in India over the next decade.
Microsoft said that it is on track to invest US$ 50 billion by the end of the decade to expand artificial intelligence capabilities across countries in the Global South. With India identified as a key focus, the initiative encompasses cloud and skill-development programs designed to train teachers and public servants, alongside expanding data centre capacity to support sovereign and locally hosted deployments. The company had earlier committed US$ 17.5 billion toward AI initiatives in India last year.
Yotta Data Services announced that it will establish one of Asia’s largest AI computing hubs, powered by Nvidia’s latest Blackwell Ultra chips, in a project valued at over US$2 billion.
Google announced a US$ 15 billion AI hub in Visakhapatnam (Vizag) along with an India–US subsea cable project to strengthen connectivity for AI workloads. The facility is envisioned as a gigawatt-scale compute center and international gateway, designed to boost access to high-performance infrastructure for both enterprises and research institutions.
Major partnerships between global AI firms and Indian companies were announced, at the summit, accelerating the country’s AI and digital infrastructure growth. These collaborations span data centres, advanced computing, and agent-driven fintech solutions, underscoring India’s rising role in large-scale AI innovation.
Tata Consultancy Services (TCS) has onboarded OpenAI, the parent company of ChatGPT, as the first client for its data centre unit under the global AI infrastructure initiative Stargate, the companies announced.
In a move to strengthen India’s AI infrastructure landscape, Larsen & Toubro announced a proposed collaboration with Nvidia to build AI-ready data centre infrastructure, advanced computing platforms, and ecosystem enablement required to support large-scale AI workloads.
Pine Labs said it is incorporating OpenAI’s decision-making technology into its payment and merchant flows to power autonomous commerce workflows. By adding an intelligent reasoning layer to its payment infrastructure, the company intends to automate negotiations, settlements, and other transaction functions for merchants, laying the groundwork for new agent-driven fintech solutions.
Razorpay launched Agentic Payments in partnership with NPCI to facilitate UPI-based purchases within chat and assistant interfaces, along with pilot initiatives involving major delivery platforms. The integration reduces friction by maintaining both discovery and payment within the same conversational flow, demonstrating how payments infrastructure is adapting to conversational and agentic commerce.
AMD is partnering with Tata Consultancy Services (TCS) to build rack-scale AI infrastructure leveraging AMD’s “Helios” platform.
From multilingual foundation models and enterprise AI deployments to voice technologies and AI-powered payments, companies showcased advancements spanning infrastructure, applications, and consumer-facing solutions.
Anthropic announced the opening of its first office in Bengaluru, noting that India is its second-largest market for Claude after the U.S. The company is also collaborating with IT major Infosys to implement Claude models and tools, including Claude Code, for Indian enterprises. The initial deployment will focus on the telecommunications sector, supported by a dedicated Anthropic Center of Excellence.
Voice AI firm Cartesia is partnering with India-based orchestrator Blue Machines to roll out enterprise voice solutions that ensure local data residency
Cashfree introduced Cashfree Here, a payments extension built to integrate UPI and card checkout within AI applications (OpenAI Apps SDK, Anthropic MCP), featuring passkey-based biometric authentication for card transactions. The product is intended to eliminate redirect friction and enable seamless in-chat commerce.
PhonePe launched an AI-powered natural-language search developed on Microsoft Foundry, allowing users to navigate and complete payments through voice or text intent, combining on-device inference with cloud capabilities, while ensuring transaction data remains within the app.
Indian AI firm Sarvam has unveiled a preview of its upcoming smart glasses, branded Sarvam Kaze. In recent weeks, the company has also introduced several AI models, including a dubbing model, a speech-to-text model, a text-to-speech model, and a vision model designed for Optical Character Recognition (OCR).
Cohere Labs has introduced a suite of multilingual models with open weights, supporting more than 70 languages and capable of running on local devices. The company also stated that it has released versions of these models fine-tuned for specific regions.
AI startup Sarvam unveiled two new open-source models, Sarvam 30B and Sarvam 105B, and announced partnerships with Qualcomm, HMD, and Bosch to deploy its AI models across a range of devices, including smartphones, feature phones, cars, laptops, and smart glasses.
Voice AI startup Gnani launched Vachana, a zero-shot voice cloning text-to-speech model supporting 12 languages.
BharatGen, a government-backed AI consortium, unveiled Param 2, a 17-billion-parameter model capable of functioning across 22 languages.
Indian technology firm Tech Mahindra unveiled an 8-billion-parameter model focused on Hindi, designed for educational applications.
India’s vibe-coding startup Emergent announced that it has achieved US$100 million in ARR and launched a mobile app.
Underlying these major industrial pledges is a strategic priority on cost-effective local computing and green energy, enabling India to process large-scale workloads domestically and reduce dependence on foreign technology
Through funding infusions, infrastructure expansion, office openings, and supercomputing deployments announced at the summit, companies underscored their commitment to strengthening their long-term footprint in India.
Blackstone has acquired a majority stake in Indian AI startup Neysa through a US$600 million equity funding round. Other investors included Teachers’ Venture Growth, TVS Capital, 360 ONE Asset, and Nexus Venture Partners. Neysa now aims to raise an additional US$600 million in debt and expand its infrastructure by deploying over 20,000 GPUs.
OpenAI announced plans to open two new offices in India, located in Bengaluru and Mumbai. The company has also partnered with the Tata Group to deploy 100 megawatts of computing capacity in India, with the goal of scaling it up to 1 gigawatt.
Streaming platform JioHotstar announced it will integrate ChatGPT to enhance content discovery through conversational search. Meanwhile, Sarvam launched Indus, its ChatGPT competitor supporting multiple Indian languages.
Meanwhile, UAE’s G42 partnered with U.S. chip maker Cerebras to deploy 8 exaflops of computing power in India via a supercomputer, with participation from Abu Dhabi’s Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) and India’s Centre for Development of Advanced Computing (C-DAC).
India joined the U.S.-led Pax Silica initiative to bolster resilient supply chains for critical minerals and AI ecosystems, marking a strategic move to reduce concentrated dependencies and secure key inputs vital for semiconductor and AI infrastructure. The decision aligns supply-chain policy with the country’s sovereign AI objectives. The other members include the UK, UAE, Singapore, Qatar, Japan, Israel, South Korea, and Australia.
India’s government-backed AI funds and subsidies, including GPU incentives and a state-supported VC facility, were highlighted as key drivers of local model development and infrastructure investment, helping catalyse private commitments announced at the summit.
The event concluded on February 21, 2026. India announced that 89 countries and organizations, including the U.S., China, and Russia, have signed the New Delhi AI Declaration, committing to the use of AI for social and economic benefit.
The India–AI Impact Summit 2026 was not just a technology conference — it was a geopolitical and economic signal that India intends to be a foundational player in the global AI order.
First, the scale of investment commitments — over US$250 billion — marks a structural shift from India being primarily an AI talent hub to becoming an AI infrastructure powerhouse. Data centres, renewable-powered compute, sovereign cloud platforms, and gigawatt-scale facilities signal a decisive move toward compute sovereignty. This reduces dependence on external hyperscalers and positions India as a cost-efficient AI processing base for the Global South.
Second, the summit reflected a transition from AI consumption to AI creation. With multilingual foundation models, open-weight ecosystems, and domestic supercomputing deployments, India is building for linguistic and demographic scale — a strategic advantage unmatched globally.
Third, India’s entry into Pax Silica and the signing of the New Delhi AI Declaration underline that AI is now intertwined with supply chains, diplomacy, and national security. India is no longer merely participating in global AI governance — it is shaping it.
Ultimately, the summit signals India’s ambition to anchor AI in three pillars: sovereign infrastructure, inclusive innovation, and strategic global alignment — positioning the country as the Global South’s AI leader in the run-up to Viksit Bharat@2047.
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India AI Impact Summit 2026
Over US$250 billion infra commitments at AI summit
The India–AI Impact Summit 2026 was a global artificial intelligence forum held from 16–21 February 2026 at Bharat Mandapam, New Delhi. It brought together world leaders, policymakers, CEOs, and AI experts to discuss AI governance, infrastructure, innovation, and responsible development.
Infrastructure-linked investment commitments exceeding US$250 billion were announced, focusing on data centres, computing capacity, digital connectivity, renewable energy, and AI infrastructure expansion.
Companies such as Reliance Industries, Adani Group, Microsoft, Google, OpenAI, TCS, Nvidia, AMD, Anthropic, Blackstone, and others announced major investments, partnerships, and infrastructure projects in India.
India joined the Pax Silica initiative to strengthen AI supply chains, expanded government-backed AI funds and GPU subsidies, and secured global support through the New Delhi AI Declaration, signed by 89 countries and organizations.
The summit positioned India as a major global AI hub, emphasizing affordable local compute, green energy, sovereign infrastructure, and inclusive AI development aligned with the vision of Viksit Bharat@2047.
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