AMD to acquire Fei-Fei Li's World Labs for $8.2 billion

AMD said today it will acquire World Labs, one of the leading developers of deep learning models built to understand physical reality, in a deal valued at $8.2 billion. The acquisition is expected to close before the end of the year, subject to regulatory approval. World Labs founder Fei-Fei Li will join AMD as executive vice president and chief scientist. World Labs justified the deal in a statement saying AI development required “close collaboration across model research, systems and compute,” while AMD said that understanding frontier workloads like those built at World Labs will shape its chip-making roadmap going forward.

The two companies aren’t strangers. AMD and World Labs formed an inference optimization-and-training partnership last year, and ties have remained close since — Li was a guest at AMD’s CES presentation earlier this year. Li, a Stanford computer science professor, is considered a pioneer in artificial intelligence, particularly computer vision, for her work building the ImageNet database and the AI competitions it inspired. She founded World Labs in 2024 to develop deep learning models with a more robust understanding of the physical world, arguing that true general intelligence requires grounding in physics and the ability to understand and reason about data beyond text.

“World model” remains a loosely defined term in the industry, spanning everything from language models trained to understand visual inputs to models capable of generating and sustaining a high-fidelity simulation of reality. World Labs’ first product, Marble, is pitched as a tool for creating entertainment experiences, and also for creating simulated environments used in robot training.

The acquisition is likely to help AMD compete with longtime rival Nvidia in building out an ecosystem for AI-specific chips. Nvidia already offers a suite of open-weight world models, such as Cosmos, while AMD has so far offered only text- and video-based models to the public. World models are seen as vital to deploying generative AI models on robotic platforms, from autonomous vehicles to industrial robots and general-purpose humanoids — since the dearth of useful real-world data to train general-purpose robots means synthetic data from world models will be key to realizing the vision pursued by companies like Tesla and Figure.

Why it matters

The deal signals that chipmakers now see world models, not just faster silicon, as the next competitive front in AI hardware — and gives AMD a research arm aimed squarely at the physical-world data gap that limits today’s robotics and autonomous systems.