September 29, 2026 / SemiMedia / — AMD has agreed to acquire AI startup World Labs in an all-stock transaction valued at approximately $8.2 billion, expanding its capabilities in world models, spatial intelligence, robotics and Physical AI. The transaction is expected to close by the end of 2026, subject to regulatory approvals and customary closing conditions.

World Labs develops spatial-intelligence models capable of generating, reconstructing and simulating interactive 3D environments from text, images and video. Its technology is designed for applications including robotics, simulation, design and other AI workloads that require systems to understand and interact with the physical world.

AMD said AI infrastructure requirements are becoming more diverse as the industry moves beyond language models into reasoning, robotics, simulation and Physical AI. Bringing World Labs' model researchers into the company is expected to give AMD deeper insight into how future AI workloads are evolving and help shape its hardware, software and system roadmaps.

World Labs raised $1 billion earlier this year in a funding round that included AMD. The two companies had already been working together on model training and inference optimization using AMD GPUs.

Following completion of the acquisition, World Labs co-founder and CEO Fei-Fei Li will join AMD as executive vice president and chief scientist, reporting directly to AMD Chair and CEO Lisa Su. The World Labs team will continue its AI model research within AMD.

Founded in 2024, World Labs is focused on enabling AI systems to understand 3D space, physical environments and object interactions. The company also acquired robotics and simulation startup SceniX in July, expanding its work into robot training and real-to-simulation technologies.

The transaction further broadens AMD's strategy beyond processors. Alongside Instinct GPUs and EPYC CPUs, the company has been expanding into networking, software, rack-scale systems and AI model technologies as it seeks to provide a more complete platform for data center customers.

The move also reflects a broader shift among AI chipmakers toward tighter integration of models, software, systems and compute hardware, as competition increasingly moves beyond individual accelerator performance toward complete AI infrastructure platforms.