India has outlined the program for the India-AI Impact Summit 2026 and revealed its official logo, setting a clear roadmap for sovereign, inclusive, and growth-focused artificial intelligence. Hosted by the Ministry of Electronics and Information Technology, the summit will take place on 19–20 February 2026 at Bharat Mandapam, New Delhi.
Summit vision and identity
The summit is guided by three sutras: People, Planet, and Progress. Seven thematic chakras translate this vision into action across human capital, inclusion, safe and trusted AI, resilience, science, democratizing AI resources, and social good.
The logo centers on the Ashoka Chakra to represent ethical governance. Radiating neural motifs signal AI’s reach across languages, sectors, and regions. The identity frames AI as a tool for citizens, communities, and sustainable development rather than a purely technical goal.
Flagship initiatives for global and domestic participation
A set of high-engagement programs will anchor the event. UDAAN, a global AI pitch fest, will spotlight startups from India’s tier 2 and tier 3 hubs alongside international ventures. YuvaAI and allied innovation challenges will crowdsource practical solutions for public needs, with dedicated tracks for women leaders and differently abled founders.
A one-day research symposium will convene leading scientists and practitioners from India, the Global South, and wider international networks to exchange frontier methods and evidence. An AI Expo for Responsible Intelligence will host more than 300 exhibitors from India and over 30 countries across more than 10 thematic pavilions.
Eight foundational model projects to localize AI at scale
Under the IndiaAI Foundation Models pillar, eight indigenous efforts have been selected from more than 500 proposals. Together they target multilingual capability, domain-specific intelligence, and science-ready computation.
Avatar AI aims to deliver specialized avatars up to 70B parameters for Indian languages and domains like agriculture, healthcare, and governance.
IIT Bombay Consortium – Bharat Gen will build multilingual and multimodal models from 2B to 1T parameters using an open-source approach for finance, legal, health, education, and agriculture.
Fractal Analytics plans a large reasoning model up to 70B parameters for structured reasoning across STEM and medical problem solving.
Tech Mahindra Maker’s Lab will develop an efficient 8B Indic model focused on Hindi dialects and an agentic platform for government use cases.
Zenteiq’s BrahmAI targets an 8B–80B multimodal science model for engineering intelligence and industrial innovation.
GenLoop will ship compact 2B models — Yukti, Varta, and Kavach — to support all 22 scheduled Indian languages with native reasoning and moderation.
Intellihealth proposes a 20B model for EEG analysis to enable early screening of neurological disorders and advance brain–computer interface research.
Shodh AI will craft a 7B model for materials discovery integrated with experimental workflows to accelerate lab-to-market cycles.
National capacity building through labs, compute, and skills
Thirty Data and AI Labs have been launched as the first wave of a 570-lab network. Twenty seven labs are being established with NIELIT in key tier 2 and tier 3 cities. Three state-of-the-art facilities are set up in Mokokchung, Mhow, and Mohali in partnership with Intel. These labs will deliver foundational training under the FutureSkills program, including data annotation, curation, and applied AI coursework.
India’s shared compute plan continues to expand. Against an initial target of 10,000 GPUs for students and researchers, availability has reportedly scaled above 38,000 units, widening access to high-performance training and inference.
Fellowships and talent pipelines
The IndiaAI Fellowship Program now targets 13,500 scholars across disciplines. It includes 8,000 undergraduates, 5,000 postgraduates, and 500 PhD researchers, aligning with the scale of national research programs. A new portal enables eligibility checks, digital applications, mentorship, and progress tracking, making fellowships accessible to students in engineering, medicine, law, commerce, business, and the liberal arts.
Governance, inclusion, and measurable impact
The seven chakras emphasize workforce readiness, accessible multilingual systems, safety tooling, responsible resource use, and equitable access to datasets and compute. The program prioritizes public-interest applications in healthcare, education, governance, and agriculture, while building transparent guardrails for safety, auditing, and assurance.
By convening heads of state, policy makers, industry leaders, and researchers, the summit positions India as a Global South convener on AI’s measurable impact. The agenda links research to deployment, and deployment to skills, so benefits reach citizens and small enterprises, not just large incumbents.
What CXOs should watch
For enterprises, the takeaways are concrete. First, localized models and datasets will reduce friction in multilingual and regulated workflows. Second, a growing network of labs, fellowships, and shared compute will expand the skilled-talent pipeline. Third, safety and assurance expectations will rise, with interoperable testing and transparency emerging as market norms.
The combination of sovereign models, sector templates, and governance tooling provides a practical path for pilots that can scale into production by 2026.
