Executive Summary
This report outlines India’s strategic convergence of the semiconductor and AI sectors to achieve global technology leadership by its 80th Independence Day. It details the transition from Semicon 1.0 to the ₹1,27,500 crore Semicon 2.0 initiative approved in July 2026, alongside the ₹10,372 crore IndiaAI Mission. Key objectives include building domestic manufacturing hubs, expanding sovereign AI compute capacity to 45,000+ GPUs, and fostering a self-reliant "Viksit Bharat" through integrated technology ecosystems.
Key Points / Main Content
Semiconductor Ecosystem and Manufacturing
Mission Outlays: Semicon 1.0 established the foundation with ₹76,000 crore, while Semicon 2.0 (approved July 2026) scales this with a ₹1,27,500 crore outlay.
Project Progress: 12 semiconductor projects have been approved across six states with investment commitments exceeding ₹1.64 lakh crore; three facilities have already commenced commercial production.
Strategic Pillars: Semicon 2.0 focuses on six areas: chip design, equipment and materials, fabrication facilities, advanced packaging, R&D, and talent development.
Domestic Design: As of April 2026, 211 chips were taped out by 75 institutions, and seven chips were successfully fabricated at nodes as advanced as 12 nm.
IndiaAI Mission and Infrastructure
Compute Capacity: The mission has expanded shared compute capacity to over 45,000 Graphics Processing Units (GPUs) as of June 2026.
Foundational Models: The government selected 20 indigenous foundation model proposals, including 12 Large Multimodal Models and 8 Small Language Models, tailored to Indian contexts.
Data Backbone: The "AI Kosh" platform hosts over 14,000 datasets and 331 AI models to support researchers and startups.
Data Centers: National capacity grew from 375 MW in 2020 to 1,575 MW by 2026, with expansion into states like Andhra Pradesh and West Bengal.
Skill Development and Research
Academic Integration: Electronic Design Automation (EDA) tools have been deployed in 320 academic institutions, training over 68,000 students through the Chips to Startup (C2S) program.
Innovation Hubs: 58 AI Centres of Excellence (CoEs) and 25 Technology Innovation Hubs have been established to support deep-tech research in robotics, cybersecurity, and quantum technologies.
Responsible AI: 13 projects have been approved to address challenges such as deepfake detection, bias mitigation, and privacy-preserving AI.
Global Recognition and Partnerships
International Rankings: India ranked third globally in AI competitiveness (Stanford Global AI Vibrancy Report 2025) and was the second-largest contributor to GitHub AI projects in 2025.
Collaborations: India has entered 12 MoUs and joined the Pax Silica coalition to strengthen global silicon supply chains with partners like the U.S., Japan, and the EU.
Impact Analysis
Startups and MSMEsImpact:
They gain access to subsidized high-performance computing, financial support under the Design Linked Incentive (DLI) scheme, and a vast library of datasets through AI Kosh.
Action Required:
Eligible entities should apply for EDA tool support and utilize the 93.18 lakh GPU hours available for AI model development and testing.
Academic and Research InstitutionsImpact:
Institutions benefit from the deployment of advanced software tools, the establishment of AI CoEs, and funding for indigenous foundation models.
Action Required:
Academic bodies must integrate C2S programs into curricula and lead the R&D efforts for the 62 AI prototypes currently in development.
Private Sector Industry (Manufacturing & Data Centers)Impact:
Large-scale investors and manufacturers benefit from a stable policy framework and infrastructure support for silicon fabs and advanced packaging.
Action Required:
Industry players should align with Semicon 2.0’s strategic pillars and explore investment opportunities in emerging data center destinations like Madhya Pradesh and Chhattisgarh.
Public Sector InstitutionsImpact:
Government departments receive AI-driven solutions to enhance public service delivery and governance.
Action Required:
Public institutions must collaborate with IndiaAI initiatives to deploy the 20 currently available AI solutions and participate in national-level innovation challenges.
Key Entities Referenced
Semicon India 2.0: A strategic program to scale India’s semiconductor ecosystem with a ₹1,27,500 crore outlay, focusing on fabrication, design, and R&D.
IndiaAI Mission: A national initiative with a ₹10,372 crore budget aimed at building sovereign AI computing capacity, indigenous models, and a digital backbone for AI.
Design Linked Incentive (DLI) Scheme: A government scheme providing financial support and infrastructure access to startups and MSMEs for semiconductor design projects.
Chips to Startup (C2S) Programme: A skilling initiative that prioritizes semiconductor training and provides Electronic Design Automation (EDA) tools to academic institutions.
Pax Silica: An international coalition joined by India to collaborate with global partners, including the United States, on resilient silicon supply chains.
PIB Backgrounder
Semiconductor and AI Revolution
Powering the Future
प्रव तथ: 13 AUG 2026 1:47PM by PIB Delhi
Powering the Future
From Chips to AI: Building India’s Technology Leadership
Semiconductors are the foundation of modern technology, powering everything from smartphones and
vehicles to satellites and AI systems. AI is now accelerating the demand for advanced chips, specialised
processors and high-performance computing, making the two technologies increasingly inseparable.
Recognising this convergence, India is building capabilities from chip design and fabrication to computing
infrastructure and indigenous AI models. Government initiatives across both sectors are creating an
integrated technology ecosystem that strengthens self-reliance, supply-chain resilience and innovation.
This convergence is also opening new opportunities in advanced manufacturing, research,
entrepreneurship and high-value employment. As India marks its 80th Independence Day, these
capabilities mark a decisive step towards global technology leadership and a Viksit Bharat.
Semiconductors: Foundation for Technological Self-Reliance
India is building domestic capabilities across the semiconductor value chain, from chip design and
fabrication to advanced packaging, equipment and materials. By strengthening domestic capabilities
today, India is positioning itself to shape the technologies of tomorrow.
Dedicated Mission Laid The Foundation For Self-Reliance
Semicon 1.0 laid the foundation with a ₹76,000 crore outlay to build India’s semiconductor
ecosystem.
It supports the entire value chain, spanning chip design, fabrication, packaging, testing, equipment,
materials and skilled talent etc.
Semicon 2.0 is scaling this foundation into global ecosystem leadership, with a ₹1,27,500 crore
outlay approved in July 2026.
Six strategic pillars drive Semicon India 2.0: chip design, semiconductor equipment and materials,
fabrication facilities, advanced packaging, research and development, and talent development.
This integrated approach strengthens supply-chain resilience, expands domestic value addition and
positions India for future semiconductor leadership.From Policy to Semiconductor Manufacturing
12 semiconductor projects have been approved across six states, with investments commitments
exceeding ₹1.64 lakh crore.
Projects span silicon and compound semiconductor fabs, display fabrication and advanced
packaging facilities.
Three facilities have already commenced commercial production, marking India’s transition from
semiconductor policy to manufacturing.
Semiconductor facilities will supply critical components for automobiles, telecommunications,
aerospace, power electronics and consumer electronics
Semiconductor fabs plants that build raw silicon wafers into functioning integrated circuits and
microchips.
Display fabrication are Plants that build flat and flexible screens for phones, cars, and gadgets etc.
Advanced packaging methods that encase, wire, and shield fragile chips to make them run faster and
last longer.
Developing Indigenous Semiconductor Design Capabilities
To meet future workforce requirements, the Government has prioritised semiconductor skilling
through initiatives such as Chips to Startup (C2S), under which,
Electronic Design Automation (EDA) tools have been deployed in 320 academic institutions and
Over 68,000 students trained, expanding access to advanced chip-design capabilities. Click to Read
More About: Chips to Start-up (C2S) Programme
24 semiconductor design projects have also been approved for financial support and 105
startups/MSMEs for EDA tool support under DLI Scheme. Click to Read More About: Design Linke
d Incentive Scheme
Electronic Design Automation (EDA)
EDA tools are software platforms used to design, simulate, verify and optimize semiconductor chips.
They manage complex chip designs, detect errors before manufacturing, and improve performance,
power efficiency and reliability. By reducing design time, costs and manufacturing risks, EDA tools
enable faster development of advanced chips for various applications.
211 chips were taped out by 75 institutions by April 2026, demonstrating growing domestic
design capabilities.
7 chips have been successfully fabricated at various nodes including advanced nodes such as
12 nm.
Semicon 2.0 will further intended to support semiconductor IP, chip and system designs,
strengthening India’s position as a global semiconductor design hub.
Global Partnerships
Global partnerships with the United States, Japan, Singapore, the Netherlands, Germany and the
European Union are strengthening technology collaboration and ecosystem development.
Semicon India 2025 brought together 350+ exhibitors and participants from 48 countries and
regions, strengthening India’s global semiconductor engagement.
The event recorded 35,000 registrations, 30,000 footfalls and 25,000 online viewers, reflecting
strong global interest in India’s semiconductor ambitions.12 Memorandums of Understanding (MoUs) were announced to strengthen product development,
services and semiconductor skill development.
These partnerships are helping integrate Indian companies into global semiconductor value chains and
accelerate domestic capabilities.
IndiaAI Mission: Building India’s Sovereign and Inclusive AI Ecosystem
The IndiaAI Mission, approved with an outlay of about ₹10,372 crore, has made significant strides over
the past year. The Mission`s ambition is focused on building capabilities that are secure, inclusive and
rooted in Indian needs. It aims to make AI a strategic capability for innovation, economic growth and
public service delivery.
Sovereign AI Computing Capacity At Scale
The IndiaAI Mission has expanded shared compute capacity to 45,000+ Graphics Processing Units
(GPUs), as of June 2026.
By August 2026, 237 projects had accessed subsidised AI computing, covering 93.18 lakh GPU
hours. This provides affordable high-performance computing for AI model development, training,
testing and research, lowering entry barriers for Indian researchers, start-ups and innovators.
Graphics Processing Unit (GPU)
A GPU is a specialised electronic processor designed to accelerate graphics, image processing and
other data-intensive computing tasks. GPUs are widely used in computers, smartphones, servers
and other digital devices.
Foundational AI Models
From 506 applications received, the Government has selected 20 indigenous foundation model
proposals, including 12 Large Multimodal Models and 8 Small Language Models.
This strengthens India’s capabilities in developing AI models suited to Indian languages, needs and
contexts.
Digital Backbone For AI Models
As of July 2026, AI Kosh hosts over 14,000 datasets and 331 AI models, providing researchers,
developers and innovators access to critical resources for building and scaling AI solutions.
From Laboratories To Real-World Governance
As on Aug 2026, IndiaAI initiatives have developed 62 AI prototypes and deployed 20 AI solutions
across public-sector institutions.
11 national-level hackathons and innovation challenges are further expanding the pipeline from
ideas to deployable solutions.
Innovation Via Centres Of Excellences
As on Aug 2026, 58 Artificial Intelligence Centres of Excellence (AI CoEs) have been approved
across States and Union Territories.22 CoE already approved and initiated across 13 States/UTs.
These centres are strengthening domain-specific research, innovation and application development.
Building The Talent And Deep-Tech Ecosystem
The National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) has established 25
Technology Innovation Hubs across leading academic institutions.
These hubs support research, skills, start-ups and technology transfer across AI, robotics,
cybersecurity, quantum technologies and other emerging fields.
Trusted AI Alongside Rapid Adoption
As of July 2026, the Indian government approved 13 Responsible AI projects under the Safe &
Trusted AI pillar of the IndiaAI Mission. These projects tackle critical challenges like bias
mitigation, machine unlearning, deepfake detection, privacy-preserving AI, explainability, and AI
risk assessment.
Expansion of Data Centre Capacity to Support AI Infrastructure
Data centres are located across the country such as Mumbai, Navi Mumbai, Chennai, Hyderabad,
Bengaluru, Delhi NCR and Gujarat.
The installed capacity has grown from 375 MW in 2020 to current capacity of about 1,575 MW.
The Data Centre industry is now further expanding in states like Andhra Pradesh, Madhya Pradesh,
Chhattisgarh & West Bengal which are coming up with new investment destinations.
Global Recognition
The Stanford Global AI Vibrancy Report 2025 ranked India third globally in AI competitiveness and
ecosystem vibrancy.
In 2025, India was the second-largest contributor to GitHub AI projects, reflecting the strength of its
developer and innovation community.
The India AI Impact Summit 2026 was held in February 2026. Participation from delegations from
more than 100 countries and 20 international organisations, with the declaration adopted by 92
countries and organisations.
India joined the Pax Silica coalition at the India AI Impact Summit 2026, working with the United
States and other partners to strengthen resilient global silicon supply chains.
This complements India’s domestic efforts to build a self-reliant, inclusive and globally competitive
AI ecosystem.
Sustaining Momentum in Chips and AI
India’s semiconductor programme is progressing from approvals and design support to commercial
production. The next phase, Semicon 2.0, broadens the focus to equipment, materials, advanced
packaging, research, indigenous intellectual property and talent. The IndiaAI Mission is building shared
compute and supporting applications across government, industry, academia and start-ups. This integrated
approach is strengthening technology capabilities, enabling responsible AI governance and supporting
sustained innovation.
References
Ministry of Electronics & Information Technologyhttps://www.pib.gov.in/PressReleasePage.aspx?PRID=2284806®=6&lang=1
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2247814®=48&lang=2
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2163908®=48&lang=1
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2163184®=48&lang=2
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2278453®=48&lang=2
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2295477®=48&lang=1
https://aikosh.indiaai.gov.in/home
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2291062®=48&lang=2
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https://www.pib.gov.in/PressReleaseDetail.aspx?PRID=2245069®=48&lang=1
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2295483®=48&lang=1
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2284796®=48&lang=1
Ministry of Science and Technology
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2115867®=48&lang=2
PIB Backgrounders
https://www.pib.gov.in/PressNoteDetails.aspx?id=157310&NoteId=157310&ModuleId=3®=44&l
ang=1
https://www.pib.gov.in/PressReleasePage.aspx?PRID=2209737®=3&lang=1
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