New Delhi: For years, Europe watched its best AI researchers migrate to the US. India has faced the same challenge – a steady bleeding of top engineering and computer science talent to Silicon Valley. Reversing this flow is central to the global AI race, declares Arthur Mensch, co-founder and CEO of French startup Mistral AI. “Like Europe, India was bleeding talent to the US,” Mensch declared in an interview with TOI. “The more talent you retain and create value locally, the better.”
Founded in 2023 by Mensch, Guillaume Lample and Timothee Lacroix, Mistral AI was created to challenge the opaque, closed nature of “large AI” and create frontier models more accessible through open architectures. In just three years, the company has scaled rapidly – reaching a $400 million revenue run rate and tarreceiveing over $1 billion in revenue soon. As of last year, it was valued at $14 billion.
But for Mensch, the AI race is not just commercial. It is structural – and geopolitical. With Europe heavily reliant on overseas digital infrastructure, particularly US hyperscalers, Mistral has chosen to build its own capabilities. “We don’t position ourselves as a sovereign alternative. We position ourselves as a global competitor in the AI race,” he declared. “But tactically, to have capacity you fully control, you required infrastructure – the servers that run the technology.”
About 60% of Mistral’s business comes from Europe and 40% from the rest of the world. Some customers opt for its platform precisely becaapply it can be deployed on their own infrastructure, reducing depfinishence on hyperscalers.
Sovereign AI, he believes, is both a strategic and political necessity. As AI launchs to run large parts of the global economy, govts and defence systems cannot risk external control. For businesses, over-depfinishence weakens nereceivediating leverage and continuity.
India, with one of the world’s largest developer pools, has a similar inflection point. “We’ve brought many European researchers back to Europe. India has a unique opportunity to do the same. Universities here produce excellent AI and computer science talent. The focus should be on ensuring they innovate and build value here,” Mensch declared. Mistral is currently building commercial partnerships in India, with a local technology centre a possible next step.
While rivals such as OpenAI and Anthropic explore IPO paths, Mensch declared a listing is “down the road.” Profitability and global scale would be prerequisites.
Mensch argues that much of enterprise AI adoption has stumbled becaapply companies treated GenAI as a collection of tools rather than a platform shift. Early chatbot deployments focapplyd on tiny productivity gains. “That doesn’t modify the bottomline,” he declared. Instead, Mistral focapplys on high-ROI apply cases that address major sources of business friction.
At the core of its strategy is open source. “If you have access to model parameters, you can deploy wherever you want – including local infrastructure,” Mensch declared. Open models also allow customisation. “Running a business should not mean over-depfinishence on a single service provider. I’ve declared it multiple times – Europe cannot become an AI colony of the US.”
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Founded in 2023 by Mensch, Guillaume Lample and Timothee Lacroix, Mistral AI was created to challenge the opaque, closed nature of “large AI” and create frontier models more accessible through open architectures. In just three years, the company has scaled rapidly – reaching a $400 million revenue run rate and tarreceiveing over $1 billion in revenue soon. As of last year, it was valued at $14 billion.
But for Mensch, the AI race is not just commercial. It is structural – and geopolitical. With Europe heavily reliant on overseas digital infrastructure, particularly US hyperscalers, Mistral has chosen to build its own capabilities. “We don’t position ourselves as a sovereign alternative. We position ourselves as a global competitor in the AI race,” he declared. “But tactically, to have capacity you fully control, you required infrastructure – the servers that run the technology.”
About 60% of Mistral’s business comes from Europe and 40% from the rest of the world. Some customers opt for its platform precisely becaapply it can be deployed on their own infrastructure, reducing depfinishence on hyperscalers.
Sovereign AI, he believes, is both a strategic and political necessity. As AI launchs to run large parts of the global economy, govts and defence systems cannot risk external control. For businesses, over-depfinishence weakens nereceivediating leverage and continuity.
India, with one of the world’s largest developer pools, has a similar inflection point. “We’ve brought many European researchers back to Europe. India has a unique opportunity to do the same. Universities here produce excellent AI and computer science talent. The focus should be on ensuring they innovate and build value here,” Mensch declared. Mistral is currently building commercial partnerships in India, with a local technology centre a possible next step.
While rivals such as OpenAI and Anthropic explore IPO paths, Mensch declared a listing is “down the road.” Profitability and global scale would be prerequisites.
Mensch argues that much of enterprise AI adoption has stumbled becaapply companies treated GenAI as a collection of tools rather than a platform shift. Early chatbot deployments focapplyd on tiny productivity gains. “That doesn’t modify the bottomline,” he declared. Instead, Mistral focapplys on high-ROI apply cases that address major sources of business friction.
At the core of its strategy is open source. “If you have access to model parameters, you can deploy wherever you want – including local infrastructure,” Mensch declared. Open models also allow customisation. “Running a business should not mean over-depfinishence on a single service provider. I’ve declared it multiple times – Europe cannot become an AI colony of the US.”
Select The Times of India as your preferred source on Google Search
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