New Delhi is positioning itself as a key testbed for artificial intelligence, attracting over $200 billion in investment pledges and unveiling three new Indian AI models during a five-day summit that concluded Wednesday. The ambitious push to integrate AI across a nation of 1.4 billion people, with a workforce where over 90% are employed in the informal sector, will require significant localization and adaptation. A central focus is modernizing India’s substantial small and medium-sized enterprise (SME) sector, which contributes 31% to the country’s GDP, particularly in traditional industries like textiles and pharmaceuticals.
The AI Impact Summit, which ended February 21, drew global tech leaders and sparked discussions about equitable access to the benefits of AI. Prime Minister Narendra Modi, in a keynote address, emphasized India’s potential as a proving ground for AI solutions applicable worldwide. “AI models that succeed in India can be deployed across the globe,” he said, inviting global collaboration in designing and developing AI for the world.
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AI in the Fields and Factories: Early Applications
Throughout the summit, hundreds of panel discussions and over 300 exhibitions showcased pilot programs leveraging AI in diverse sectors. These included AI-powered weather forecasts for farmers and faster audit and compliance tools for businesses, aiming to boost efficiency in India’s historically low-productivity agricultural and SME sectors.
Rohit Kansal, Minister of State for Textiles, underscored the importance of AI in revitalizing traditional industries. “India’s long-term economic transformation cannot be determined by digital-native companies alone. It will depend on whether AI can modernize existing industries like textiles, food processing, and leather,” he said.
The SME Challenge: A $200 Billion Opportunity
India’s micro and small enterprises (MSMEs) account for approximately 31.1% of the nation’s GDP, according to the Ministry of Finance. Officials at the summit announced a research initiative examining how AI adoption can improve unit economics, market access, and data flow across over 350 factories in the textile, pharmaceutical, medical technology, and electronics sectors.
Kansal explained that AI-based quality inspections can detect defects in weaving or dyeing in real-time, while predictive maintenance tools can minimize machine downtime. Aman Sharma, Joint Secretary of Pharmaceuticals, highlighted a tragic case from last year where at least 20 children died after consuming locally produced Indian cough syrup due to inadequate testing and data maintenance in small pharmaceutical companies.
From Farm to Table: AI and India’s Rural Economy
During the summit, the government launched Bharat-VISTAAR, a multilingual and voice-assisted AI tool. This allows farmers to ask questions in their native languages about crops, soil health, weather conditions, and government programs via their mobile phones. Amul, one of India’s largest dairy producers, is integrating an AI assistant into its digital platform to record daily data on milk quality and transactions from over 3.6 million farmers.
However, scaling these pilot programs presents significant hurdles. In remote areas, many farmers are unfamiliar with AI tools or hesitant to adopt them. Millions of SMEs operate on thin margins and irregular cash flow, leaving them with limited resources to invest in technology.
Korean Expertise and the Path Forward
India’s ambition to grow an “AI utilization capital,” applying AI to traditional industries like agriculture and manufacturing, presents a significant opportunity for South Korean AI companies. South Korea possesses strengths in manufacturing AI solutions, with companies like SamsungSDS and LG CNS offering smart factory solutions, and Naver and Kakao developing AI platform technologies.
Supporting AI adoption among Indian SMEs is a particularly promising area for collaboration. South Korea’s experience in deploying smart factories could be valuable as India embarks on its project to integrate AI into 350 factories. The textile, pharmaceutical, and electronics sectors, where South Korea has a global competitive edge, offer strong potential for synergy.
India’s development of multilingual AI tools also offers lessons for South Korea. Developing voice-based AI tools for SMEs and farmers could help bridge the digital divide within South Korea, potentially leveraging technologies like Naver’s Clova and Kakao’s i to tailor AI solutions to specific industries.
“India’s emergence as an AI proving ground is a good opportunity for Korean AI companies to gain experience in entering developing markets,” an industry expert noted. “AI solutions that succeed in India can be applied to other developing countries in Southeast Asia, the Middle East, and Africa, making Han-Indo AI cooperation a stepping stone to global market expansion.” There is a growing call for the government to establish a Han-Indo AI cooperation program and support joint projects between companies in both countries.
The next key step in India’s AI journey will be the implementation of the research findings from the 350-factory study, expected to be released in the coming months. This will provide a clearer picture of the challenges and opportunities for scaling AI adoption across the country’s vast industrial landscape.
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