Yann LeCun, the Turing Award-winning AI researcher who spent twelve years building Meta's AI research operation into one of the most respected in the world, has just secured $1.03 billion in seed funding for his new startup, Advanced Machine Intelligence Labs (AMI). The round, announced on March 10, 2026, values the company at $3.5 billion on a pre-money basis and is believed to be the largest seed round ever raised by a European startup.

A Billion-Dollar Bet Against LLMs

In November 2025, LeCun walked into Mark Zuckerberg's office and told his boss he was leaving. He had become one of the industry's most vocal critics of large language models — the technology powering ChatGPT, Claude, and Gemini — arguing they were a "statistical illusion" that could never achieve true intelligence.

His alternative: world models, AI systems built on a framework called JEPA (Joint Embedding Predictive Architecture) that learn abstract representations of how the world works rather than predicting the next token in a sequence. The idea is to build systems that understand physical reality the way humans and animals do — not through language, but through embodied experience.

"My prediction is that 'world models' will be the next buzzword. In six months, every company will call itself a world model to raise funding." — Alexandre LeBrun, AMI Labs CEO, speaking to TechCrunch

Who's Backing the Vision

The round was co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions — the vehicle through which Amazon founder Jeff Bezos makes personal investments. Strategic backers include Nvidia, Samsung, Toyota Ventures, Singapore's Temasek, and Sea. Prominent individual investors include Tim and Rosemary Berners-Lee, Jim Breyer, Mark Cuban, and former Google CEO Eric Schmidt.

AMI Labs had initially sought around €500 million, according to a leaked pitch deck. Demand exceeded that significantly, with the company ending up with approximately €890 million ($1.03 billion). LeCun told journalists this week that interest had been high enough that AMI could be selective about which investors it accepted.

The Dream Team

The founding team reads like a who's who of AI research, drawn almost entirely from Meta's AI organization:

• Yann LeCun — Executive Chairman, Turing Award winner, NYU professor
• Alexandre LeBrun — CEO, former head of Nabla (medical AI)
• Michael Rabbat — VP of World Models, formerly Meta's director of research science
• Laurent Solly — COO, formerly Meta's VP for Europe
• Pascale Fung — Chief Research and Innovation Officer
• Saining Xie — Chief Science Officer, previously at Google DeepMind

A European Champion — On Purpose

The choice of Paris as headquarters is deliberate. LeCun has been explicit about positioning AMI as a European counter to the American and Chinese AI giants. "We are one of the few frontier AI labs that are neither Chinese nor American," he has said. The company plans offices in Paris, New York, Montreal, and Singapore.

LeBrun was candid about the timeline. Unlike typical applied AI startups that release products in three months and chase revenue, AMI Labs is fundamentally a research company. It could take years for world models to go from theory to commercial applications.

"AMI Labs is a very ambitious project, because it starts with fundamental research. It's not your typical applied AI startup that can release a product in three months, have revenue in six months, and make $10 million in annual recurring revenue in 12 months." — Alexandre LeBrun

What It Means for the Industry

The funding signals something bigger than one company's raise. It shows that the AI market is no longer a single-track race centered solely on larger language models. Investors are now financing rival technical paths that promise stronger reasoning, planning, and real-world autonomy — especially for robotics, manufacturing, and industrial systems.

AMI's first disclosed partner is Nabla, the digital health startup, where LLM hallucinations could have life-threatening consequences. But LeBrun made clear that healthcare is just the beginning. Within three to five years, LeCun told AFP, the goal is to produce "fairly universal intelligent systems" capable of deployment across any domain requiring machine intelligence.

True to LeCun's longstanding principles, AMI Labs plans to publish its research papers and open-source much of its code as it progresses. Whether world models can truly surpass the capabilities of LLMs remains an open scientific question — but with a billion dollars and a Turing Award winner at the helm, AMI Labs is the most serious challenge yet to the prevailing AI paradigm.