India is willing to share its artificial intelligence models with the Global South, stated S Krishnan, secretary of the ministry of electronics and information technology (MeitY) on July 25, establishing the nation as an alternative to prevailing AI ecosystems.

"If you can accomplish it in India, you can achieve it almost anywhere else globally," Krishnan stated at the FICCI Bhashantara 2025 conference in New Delhi.

India’s readiness to provide AI resources to the Global South arises from continuous dialogues with UN representatives, who have recognized the nation’s initiatives to create flexible, accessible AI solutions.

Under the IndiaAI Mission, four startups—Sarvam, Gnan.ai, Socket, and Gan.ai—have received approval from the government to develop foundational models. They exist.

The secretary highlighted AI Kosh, the government's database containing over 400 curated datasets, as a crucial element of India's AI strategy.

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The platform aids entrepreneurs and researchers in creating language AI models and applications. He mentioned that flagship programs like Mission Bhashini and Anuvadini are already recording regional dialects.

During the event, industry participants presented a list of desires for quicker advancement of multilingual AI. Harsh Dhand, who heads research and AI partnerships in APAC for Google and co-chairs FICCI’s Multilingual Internet Committee, called on the government to facilitate access to Prasar Bharati and All India Radio archives, enhance connectivity among research institutions to prevent duplication, and optimize resource utilization.

Ajay Data, chair of the Multilingual Internet Committee, stated that domain names are now offered in all official Indian languages, an essential advancement for creating an inclusive web.

"With more than six billion individuals worldwide not using English as their main language, the business prospects in this area are vast," he stated.

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The term Global South designates over 100 nations in Asia, Africa, and Latin America, such as India, that are seen as having a comparatively low degree of economic and industrial progress and are situated south of the developed economies.