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AM Arthur Mensch Arthur Mensch Co-founder and chief executive of Mistral AI, the Paris-based developer of language models for enterprises.

“If we end up in a world where all companies need to rely on two or three providers that are centralized AI providers… they will use the data that is being produced by the systems to make better systems and to go after the business of their customers. Because at the end, this is the end game. This is pretty clearly what is being priced in today.”

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch · Startups & Venture · November 2026

“If we end up in a world where all companies need to rely on two or three providers that are centralized AI providers… they will use the data that is being produced by the systems to make better systems and to go after the business of their customers. Because at the end, this is the end game. This is pretty clearly what is being priced in today.” — Arthur Mensch, The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

Context

Stebbings asked whether OpenAI and Anthropic keeping their best models closed is good or bad for society. Mensch argues that enterprises depending on a few centralized labs hand those labs leverage over them, which is his case for a sovereign alternative.

Transcript

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch Around 11:09 into the episode
Arthur Mensch

…The reason for that is that effectively, this is a dual-use technology. And so, as any dual-use technology, security of supply matters even more. And so, the companies we work with realize that they need security of supply, not only on the infrastructure side, but also on the model IP side.

Harry Stebbings

With that in mind, do you think your open AIs and your Anthropic Will their best models is good or bad for society? And is that just an inherent feature that will be prevalent within this industry?

Arthur Mensch

…clear is that there is immense leverage to centralized AI providers in a world where there's no providers that is allowing decentralized deployment that is allowing sovereign deployment. So, what we are doing is extremely important for companies. If we end up in a world where all companies need to rely on two or three providers that are centralized AI providers that give them enormous leverage, they will use the data that is being produced by the systems to make better systems and to go after the business of their customers. Because at the end, this is the end game. This is pretty clearly what is being priced in today. So, the approach we're taking is to make sure that this world in which you have an oligopoly of AI providers that are leveraging all data being produced by enterprises to make better systems that can be intermediate with enterprises is not the world we live in. And we're very aligned in that with all of our customers that, of course, don't want to live in such a world. So, I would say the fact…

Harry Stebbings

You've said the word energy a couple of times. And one of the core underlying tenets of being successful is having the energy and the infrastructure to power European AI. We have a very different energy system to the US, and we have a very different energy system to China. In China, they'll move 3…

Arthur Mensch

I think the first thing to realize is that energy is around 10% of the bill in the total cost of ownership of compute. So we're not talking about the place where you can make most of the optimization. So the cost of energy at the end of the day is not the one thing that matters in the economy of a…

Harry Stebbings

It totally is, and I agree with you. I am a big believer in Adam Smith's invisible hand, but the lead time is very real. And so that is just the 29, 2030 is a challenge. Yeah,

Speaker names come from our own diarization. The position is estimated from where the line sits in the episode.

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