Taiwan Semiconductor Manufacturing Company (TSMC) is facing a significant technical challenge to its decade-long dominance in advanced packaging as the physical dimensions of next-generation artificial intelligence (AI) chips begin to exceed the practical limits of its Chip on Wafer on Substrate (CoWoS) technology. Industry data released on April 20, 2026, indicates that the escalating size requirements for high-performance computing silicon are creating a competitive opening for Intel Corporation’s Embedded Multi-die Interconnect Bridge (EMIB) architecture.
The primary constraint involves the reticle limit of lithography equipment, which typically caps the size of a single chip or interposer at approximately 858 square millimeters. To accommodate the massive memory and logic requirements of modern AI, TSMC has utilized CoWoS-S, which employs a large silicon interposer to connect multiple dies. However, as AI accelerators like Google’s next-generation Tensor Processing Unit (TPU) move toward designs that require four times the standard reticle size or larger, the manufacturing complexity and yield loss associated with massive silicon interposers have increased significantly.
Technical specifications for Google’s upcoming TPU project reveal a design footprint that tests the structural and thermal boundaries of the current CoWoS-S platform. While TSMC has introduced CoWoS-L, which uses local silicon interconnects instead of a full interposer, the transition has faced integration hurdles for ultra-large-scale designs. In contrast, Intel’s EMIB technology utilizes small silicon bridges embedded directly into the package substrate to facilitate high-speed communication between dies. This modular approach allows for significantly larger total package sizes without the yield risks inherent in fabricating a single, oversized silicon interposer.
Reports from the semiconductor supply chain suggest that Google is actively evaluating Intel’s packaging solutions for its future TPU iterations. This shift marks a notable moment where a major hyperscale cloud provider has signaled a potential move away from TSMC’s advanced packaging ecosystem for its flagship AI silicon. Intel has positioned itself for this transition by expanding its Open System Foundry model, which allows customers to utilize Intel’s packaging services even if the primary logic tiles are manufactured at a different foundry.
TSMC executives, including Vice President of Pathfinding for System Integration Kevin Zhang, have previously stated that the company is developing CoWoS-on-Wafer-on-Substrate (CoWoS-SoW) to address these scaling issues. However, the immediate requirements of the AI industry are currently outpacing the deployment schedule of these advanced iterations. As of April 2026, the technical gap between TSMC and Intel in the packaging sector has narrowed, with the physical scale of AI hardware serving as the primary catalyst for this shift in the semiconductor manufacturing landscape.