India unveils homegrown AI models at major summit, but experts say DeepSeek moment remains distant

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Indian AI startups showcased locally-built models at New Delhi's AI Impact Summit, with Prime Minister Modi celebrating 'Made in India' innovation. Sarvam AI released models optimized for 22 Indian languages, while Gnani.ai launched Vachana speech models trained on over a million hours of audio. But analysts suggest India's realistic path lies in becoming the world's largest AI adoption market rather than a frontier innovation hub.

India AI Takes Center Stage at New Delhi Summit

Indian artificial intelligence companies unveiled homegrown AI models this week at the AI Impact Summit in New Delhi, signaling the country's ambitions to establish itself as a global AI power. Prime Minister Narendra Modi praised three new models released by Indian companies, stating that "all the solutions that have been presented here demonstrate the power of 'Made in India' and India's innovative qualities"

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. The five-day summit, which concluded Friday, marked the fourth annual international meeting to discuss AI's risks and rewards, and was the largest yet and the first held in a developing country

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Source: France 24

Source: France 24

Among the standout presentations was Sarvam AI, which released two multilingual large language models trained from scratch in India. These models are optimized to work across 22 Indian languages, addressing a critical gap in AI accessibility for the country's diverse population

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. The startup received government-subsidised access to advanced computer processors, highlighting the state's commitment to fostering domestic AI capabilities. Bengaluru-based Gnani.ai also drew attention by introducing its Vachana speech models, trained on more than a million hours of audio to generate natural-sounding voices in Indian languages that can process customer interactions and enable voice-based digital services

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Sovereign AI Becomes National Priority

The BharatGen initiative, a government-supported program led by a Mumbai university group, released a new multilingual AI model during the summit, underscoring India's push toward sovereign AI

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. This strategic direction reflects a global trend where countries seek to reduce dependence on US and Chinese platforms while ensuring AI systems respect local regulations on data privacy. Modi emphasized that AI models succeeding in India "can be deployed all over the world," suggesting broader applicability for these Made in India AI solutions

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Source: ET

Source: ET

Indian businesses struck deals with US tech giants at the summit to build large-scale data centre infrastructure necessary for training and running AI systems

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. Job disruption, particularly in India's massive call centre industry, emerged as a key discussion point, reflecting concerns about how AI technologies like the Vachana speech models might reshape employment landscapes

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Experts Temper Expectations on DeepSeek Moment

Despite the enthusiasm, analysts caution that India is unlikely to experience a DeepSeek moment—the kind of breakthrough China achieved with its high-performance, low-cost chatbot—anytime soon. Reema Bhattacharya, head of Asia research at Verisk Maplecroft, stated: "Despite the headline pledges, we don't expect India to emerge as a frontier AI innovation hub in the near term. Its more realistic trajectory is to become the world's largest AI adoption market, embedding AI at scale through digital public infrastructure and cost-efficient applications"

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Prihesh Ratnayake from think-tank Factum emphasized that the new Indian AI models are "not really meant to be global" but are India-specific, adding: "Why does India need to build for the global scale? India itself is the biggest market"

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. The sheer computational might of the United States remains difficult to match, experts noted.

Addressing Local Biases and Serving the Global South

Nanubala Gnana Sai, a MARS fellow at the Cambridge AI Safety Institute, highlighted a crucial advantage of homegrown models. Existing models, even those from China, "have intrinsic bias towards Western values, culture and ethos—as a product of being trained heavily on that consensus," Sai explained

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. India's strengths include "technology diffusion, eager talent pool and cheap labour," which can help startups pivot to artificial intelligence.

While the end products may not rival ChatGPT or DeepSeek on standard benchmarks, they could "provide leverage for the Global South to have its own stand in an increasingly polarised world," Sai noted

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. This positioning suggests India's AI for Global South approach could create alternatives that better serve non-Western contexts, addressing cultural and linguistic needs that dominant AI platforms often overlook. As the world's most populous nation builds custom AI tools, the impact over the coming year will determine whether this strategy delivers meaningful benefits beyond simply competing on global benchmarks.

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