The acquisition gives AMD access to World Labs' research into systems capable of understanding and simulating three-dimensional environments and physical interactions. The technology could support applications spanning robotics, industrial systems, scientific research and other areas where AI must interact with the physical world.
World Labs was founded by AI researcher Fei-Fei Li and has developed so-called world models designed to generate and reconstruct three-dimensional environments. AMD said the company's research could provide deeper insight into emerging AI workloads and help guide its technology roadmaps across hardware, software and systems.
The transaction represents a further expansion of AMD's strategy beyond conventional semiconductor competition. The company has been seeking to strengthen its position in the rapidly growing AI-computing market, where Nvidia remains the dominant supplier of accelerators used to train and operate advanced models.
Under the agreement, Li will join AMD as executive vice president and chief scientist. World Labs' research team and technology will become part of AMD's broader effort to develop hardware and software capable of supporting future AI workloads.
The acquisition also reflects a wider shift in the AI industry towards systems that can operate beyond text and digital environments. Spatial intelligence is increasingly being developed for robotics, simulation, manufacturing and other applications where understanding physical environments is central to performance.
For AMD, combining World Labs' research capabilities with its existing hardware and software operations could strengthen its ability to respond to changing demand for AI infrastructure. It also gives the company greater exposure to emerging workloads that could influence the design of future processors and computing systems.
The deal is expected to close by the end of 2026, subject to regulatory approvals. Its longer-term significance will depend on how effectively AMD integrates World Labs' research and converts advances in physical AI into commercial products and infrastructure demand.
The transaction nevertheless highlights the growing competition to control not only AI chips but also the software, models and research capabilities shaping the next phase of AI computing.
