Executive Summary:
This document responds to questions in the Lok Sabha regarding the impact of US restrictions on AI hardware exports, specifically after the US Department of Commerce issued and then rescinded the AI Diffusion Rule in 2025. It outlines India's AI strategy, including the IndiaAI mission launched in March 2024, and its various pillars designed to foster a robust and inclusive AI ecosystem. The strategy emphasizes democratizing technology use, addressing India-centric challenges, and creating economic opportunities.
Key Points / Main Content:
* **US Export Regulations:**
* The United States Department of Commerce issued an AI Diffusion Rule on January 15, 2025, which included export control and licensing regulations.
* This rule was rescinded on May 13, 2025.
* **India's AI Strategy:**
* India's AI strategy aims to position the country as a global leader in AI, based on democratizing technology.
* The strategy focuses on addressing India-centric challenges and creating economic and employment opportunities.
* The IndiaAI mission was launched in March 2024 as a strategic initiative to establish a robust and inclusive AI ecosystem.
* **IndiaAI Mission Pillars:**
* **IndiaAI Compute Capacity:** Providing affordable, high-end compute power (GPUs) to all, including MSMEs and startups.
* **IndiaAI Foundation Models:** Developing India's own Large Multimodal Models (LMMs) trained on Indian datasets and languages.
* **AIKosh:** Developing large datasets for training AI models, integrating data from government and non-government sources.
* **IndiaAI Application Development Initiative:** Developing AI applications for India-specific challenges in climate change, disaster management, healthcare, agriculture, governance, and assistive technologies.
* **IndiaAIFutureSkills:** Developing AI-skilled professionals by increasing the number of graduates, postgraduates, and PhDs in AI, and setting up Data and AI Labs in Tier 2 and Tier 3 cities.
* **IndiaAI Startup Financing:** Providing financial assistance to AI startups.
* **Safe Trusted AI:** Balancing innovation with governance frameworks to ensure responsible AI adoption.
* **AI Ecosystem in India:**
* India has a strong IT ecosystem generating over $250 billion in annual revenue.
* The IT ecosystem employs more than 6 million people.
* India is ranked among the top countries in AI skills, capabilities, and policies.
* India is the second-largest contributor to GitHub AI projects.
Impact Analysis:
* **Indian AI Community (Startups, MSMEs, Researchers, Professionals):**
* *Impact:* Access to compute resources, datasets, funding, and skills development will be enhanced, promoting innovation and competitiveness.
* *Action Required:* Engage with IndiaAI Mission initiatives and utilize available resources to develop and deploy AI solutions.
* **Indian Government:**
* *Impact:* Responsible for implementing and overseeing the IndiaAI Mission, ensuring alignment with national development goals, and fostering international collaborations.
* *Action Required:* Continue to develop and refine policies, allocate resources effectively, and monitor the progress of the IndiaAI Mission.
Key Entities Referenced
United States Department of Commerce: The department of the US government that issued the AI Diffusion Rule impacting AI hardware exports.
Artificial Intelligence: A broad field of computer science focused on creating intelligent agents, mentioned in the context of US export regulations and India's development efforts.
India AI Mission: A strategic initiative by the Indian government to establish a robust and inclusive AI ecosystem aligned with India's development goals, launched in March 2024.
GPUs: Graphics Processing Units, a type of hardware crucial for high-performance computing in AI, and subject to export restrictions.
GitHub: A web-based platform used for version control and collaboration in software development, highlighting India's contribution to AI projects.
IndiaAI Compute Capacity: A key pillar of the IndiaAI Mission, aiming to provide high-end compute power (GPUs) to MSMEs and startups at an affordable cost.
Stanford AI rankings: Global rankings placing India among the top countries in AI skills, capabilities, and policies to use AI.
Tier 2 and Tier 3 cities across India: Refers to cities in India where Data and AI Labs will be established as part of the IndiaAIFutureSkills initiative to develop AI-skilled professionals.
GOVERNMENT OF INDIA
MINISTRY OF ELECTRONICS AND INFORMATION TECHNOLOGY
LOK SABHA
UNSTARRED QUESTION NO. 585
TO BE ANSWERED ON: 23.07.2025
IMPACT OF US RESTRICTION ON AI HARDWARE EXPORTS
585. SHRI ASADUDDIN OWAISI:
Will the Minister of ELECTRONICS AND INFORMATION TECHNOLOGY be pleased to state:
(a) whether the Government is aware of the recent US export regulations on Artificial Intelligence
(AI) hardware that categorize India under Tier 2, restricting the import of high performance
computing GPUs;
(b) if so, the details thereof including the expected impact of these restrictions on India's AI
development and related industries;
(c) whether the Government has engaged with the United States to seek reclassification of India
or a waiver from these restrictions, if so, the details thereof; and
(d) the steps being taken by the Government to ensure that these regulations do not hinder India's
AI initiatives, including the India AI Mission and other high-tech development programmes?
ANSWER
MINISTER OF STATE FOR ELECTRONICS AND INFORMATION TECHNOLOGY
(SHRI JITIN PRASADA)
(a) to (d): On 15th January 2025, United States Department of Commerce issued AI Diffusion
Rule which provided for export control and licensing regulations. On 13th May, 2025 the rule was
rescinded.
India’s AI strategy is based on the Hon’ble Prime Minister's vision to democratize the use of
technology. It aims to address India centric challenges, create economic and employment
opportunities for all Indians.
AI ecosystem in India at present:
India has a strong information technology ecosystem. It generates annual revenues of more than
250 billion dollars and provides employment to more than 6 million people.
Global rankings such as Stanford AI rankings place India among the top countries in AI skills,
capabilities, and policies to use AI. India is also the second-largest contributor to GitHub AI
projects, showcasing its vibrant developer community.
India’s AI strategy:
India’s AI strategy aims to position India as a global leader in artificial intelligence. Government
launched IndiaAI mission in March 2024. It is a strategic initiative to establish a robust and
inclusive AI ecosystem aligned with India's development goals.
The IndiaAI Mission comprises of the following 7 key pillars:• IndiaAI Compute Capacity: It aims to provide high-end compute power (GPUs) to all,
including MSMEs and startups, at an affordable cost.
• IndiaAI Foundation Models: To develop India’s own Large Multimodal Models (LMMs)
trained on Indian datasets and languages. This is to ensure sovereign capability and global
competitiveness in generative AI.
• AIKosh: To develop large datasets for training AI models. AIKosh is a unified data platform
integrating datasets from government and non-government sources.
• IndiaAI Application Development Initiative: This pillar aims to develop AI applications for
India specific challenges in sectors such as climate change and disaster management,
healthcare, agriculture, governance, and assistive technologies for learning disabilities.
• IndiaAIFutureSkills: To develop AI skilled professionals in India by increasing the number
of graduates, post-graduate and PhDs in AI domain. It also envisions setting up Data and AI
Labs in Tier 2 and Tier 3 cities across India.
• IndiaAI Startup Financing: To provide financial assistance to AI start-ups.
• Safe & Trusted AI: To balance innovation with strong governance frameworks to ensure
responsible AI adoption.
*****