Yann LeCun, the Turing Prize-winning AI researcher who spent over a decade leading artificial intelligence efforts at Meta, has raised $1.03 billion for his new startup Advanced Machine Intelligence (AMI) Labs at a pre-money valuation of $3.5 billion. The funding round marks one of the largest debut raises in AI history and signals a significant bet on an alternative approach to the large language models that currently dominate the industry.
The round was co-led by Cathay Innovation, Greycroft, Hiro Capital, and HV Capital, with participation from Bezos Expeditions, the investment firm of Amazon founder Jeff Bezos. Individual backers include internet pioneer Tim Berners-Lee, billionaire investor Mark Cuban, former Google CEO Eric Schmidt, and venture capitalist Jim Breyer.
AMI Labs Is Building AI World Models That Learn From Reality
Unlike the large language models powering tools like ChatGPT and Claude, AMI Labs is building what LeCun calls “world models,” AI systems trained on visual and physical reality rather than text alone. The technology is designed to simulate how real-world environments function, enabling machines to reason, plan, and predict outcomes in ways that current AI systems cannot.
LeCun has been vocal in his criticism of the current AI paradigm, arguing that large language models “lack genuine reasoning ability and real-world understanding.” His departure from Meta in late 2025 came after the company shifted its AI strategy toward scaling generative models, a direction LeCun viewed as a technological dead end for achieving true machine intelligence.
Leadership Team Includes Meta and AI Research Veterans
AMI Labs has assembled a leadership team drawn heavily from Meta and top AI research institutions. Alex LeBrun serves as CEO, while Meta’s former VP for Europe Laurent Solly has taken the role of COO. The research side is led by Saining Xie as chief science officer, Pascale Fung as chief research and innovation officer, and Michael Rabbat as VP of world models. LeCun himself holds the position of executive chairman.
The company, which was initially seeking roughly $500 million, ended up raising more than double that amount as investor demand surged. The final figure of $1.03 billion, approximately €890 million, makes AMI Labs one of the best-funded AI startups at launch in the world.
Target Markets Span Automotive, Manufacturing, and Healthcare
AMI Labs is targeting industries where understanding the physical world is critical. The company plans to focus first on automotive and aerospace applications, where world models could power autonomous navigation systems. Manufacturing is another early priority, with potential applications in robotic workflow optimization. The biomedical sector represents a third vertical, where world models could accelerate drug discovery by simulating biological systems.
Longer term, AMI Labs has its sights set on domestic robotics, building AI capable of navigating and operating autonomously in homes and other real-world environments. Reports also indicate that AMI is in discussions with Meta regarding potential integration of its world model technology with Ray-Ban smart glasses, though no formal partnership has been announced.
The Funding Comes Amid a Wave of Billion Dollar AI Raises
AMI Labs joins a growing list of AI startups commanding billion-dollar funding rounds in 2026. OpenAI raised $110 billion in a private round earlier this month, while European AI infrastructure company Nscale closed a $2 billion Series C. Former OpenAI research chief Saining Xie’s colleague Arda also recently raised $70 million to automate manufacturing with AI.
What distinguishes AMI Labs from its peers is not just the scale of its funding but its fundamental challenge to the prevailing AI development strategy. While most well-funded AI companies are racing to build bigger and better language models, LeCun is betting that the path to truly intelligent machines runs through physical reality, not text. Whether that bet pays off could reshape the trajectory of the entire AI industry.
