Why India is so far behind in the struggles for AI OPPERSE

Copyright © HT Digital Streams Limit all rights reserved. India lacks the core elements needed to realize the AI ​​Dream Shouvik Das 6 min, reading 21 Jun 2025, 05:15 hours IST mushrooms artificial intelligence-focused startups in the country attract a lot of buzzing. (AFP) Summary information from the World Intellectual Property Organization shows that India filed only 5% of the number of patents done by China last year. Also in generative AI, India is nowhere near the US or China. New Delhi: India’s mushrooms focused on artificial intelligence attracts a lot of buzzing, but a lack of innovation and pioneering research means that the country is far behind the US and China is in the struggle for AI arising. It is a result of what the industry calls ‘secondary’ innovation – technologies that cannot be patented worldwide to influence the global economy in the long run. The spending on fundamental engineering, research and development (ER & D) in AI is few, at least five managers involved in AI-related work, Mint told Mint. In November, the annual report of the World Intellectual Property Organization (WIPO) said that India was the sixth region in the world in terms of overall patent applications – again China, the US, Japan, Korea and the European Union. However, the gap was sharp – China submitted 1.7 million patents in 2024, almost 3x more than the US, with 600,000 patents. India has only filed 90,000 patents – 5% of what China did. Also read: AI firms that get GPU soups can see Govt at the table. The gap is even clearer in generative AI, the core fight in global technology. Last year, China submitted more than 38,000 patents in generative AI at Wipo, the Global Patent Authority, before the US with about 6,500 patents. India was also sixth here with 1.350 patents in generative AI – 3.5% of China’s progress, and about a fifth from the US. Ashwini Vaishnaw, trade union minister for electronics and IT, promised last month that “India’s first fundamental AI model is still on track to be released by the end of this year”. However, the patent filing indicates that an American war war for AI OPPERPENSE is threatening to leave India from the League of Nations that will affect the global innovation and economy over the next decades. Fund scarcity founters argue that many of these are due to the lack of major early phase funds. SU-based Essential AI, founded by Ashish Vaswani, the former Google brain engineer who put together the transformation model that supports all generative AI applications, came from Stealth in December 2023 with a $ 56.5 million financing round. Others who have raised major capital in the US over the past three years include Adept AI’s $ 65 million series A Finance Round in April 2022, Cursor’s $ 60 million A in August and more. Each of these companies is currently investing in building landlide technologies that would in the long run be patented and licensed to operate AI applications and services around the world. Also read: Sovereign Silicon: India is target indigenous 2pm, Nvidia level GPU by 2030 drivers leading worldwide businesses, agrees that India is currently behind the curve in AI. There is “definitely a lack of enough AI engineers working on core engineering in the field in India,” said Pranav Mistrry, founder and CEO oftwo.ai. Earlier this month, Melty, former world chief of Samsung’s advanced research department, spoke to the sidelines of a meeting in Bengaluru. ‘There is definitely a thinking pattern difference between India and the US in terms of how businesses approach AI engineering in the two countries. Ultimately, what geographical areas will give access to geopolitical soft power – and India should definitely focus on this field, ‘Meltry said. Vaswani of Essential Ai said: “There is no reason for India not to build its own AI models – and there should be more businesses focused on doing it in and for India within India.” Developing vision investors argue that a lack of vision in the long run of founders is an important part of why core and D work is not found under India’s AI artups. ‘Any entity for undertaking Foundation Engineering comes with a five-year road map, which is the equivalent of several decades in today’s AI world. It is absolutely true that India is still building on top of engineering that the US and other entities undertake and work that have been a very limited stage in India, ‘says Pratip Mazumdar, Co-Foarder and some in India,’ says Pratip Mazumdar, Coadardar, Coadardar, Co-Foarder and a partner. Early phase venture capital firm, inflexor ventures. But the lack of funds is also an important reality. In India, apart from Sarvam’s $ 41 million series in December 2023, there were no major investments in the early stage in AI-focused startups. Gan.ai and Bengaluru’s Gnani.AI, Noida, has two new businesses that, along with Sarvam, were the first one supported by the center’s $ 1.2 billion Indiai mission so far raised $ 5.25 million and $ 4 million to finance. According to founder and CEO Abhishek Upperwal, Gurugram-based Soket AI Labs, the fourth of the first startups supported by the government, erected another venture capital round. Government support “That’s why the government’s AI mission is reducing the cost of access to processors for training AI models, and we are happy to offer the government in exchange for access,” Upperwal said. Also read: The brain behind generative AI has its attention to India “Venture capital investors in India have a limited appetite to invest in depth technology R&D, which is crucial to AI’s startup to build a new fundamental AI architecture that can be patented and licensed in the long run. Policy experts are the issue just beyond just the startups. Non -the funerals are too few, and institutions do not have the means that their US and China counterparts should pursue fundamental innovation, “Kumar said. Nifty application development would be the right way forward. Limited, and the kind of talent that can actually undertake the foundation or patented is also limited. Startups said: “The real opportunity lies in goal-built AI applications that solve specific problems on scale. We see that Indian startups create targeted solutions using existing foundation models than building blocks-these approaches allow faster innovation cycles and can deliver significant value. “However, others believe that more weight to fundamental innovation is the need for India. Low margin margin must also be captured. But as China has proven, profits made in innovation must be reinvested in fundamental innovation, “he said.” China is a clear example of how it works, and we have to repeat it more effectively in India. ” Catch all the business news, market news, news reports and latest news updates on live mint.