A critical bottleneck in the AI supply chain is forcing new alliances, with South Korean memory giant SK Hynix turning to Intel for advanced chip packaging, a market where Taiwan Semiconductor Manufacturing Co. currently holds a near-monopolistic position. The collaboration will evaluate using Intel’s Embedded Multi-die Interconnect Bridge (EMIB) to link high-bandwidth memory (HBM) to logic chips, creating a potential new path to market for AI accelerators.
"The defining feature of the current semiconductor cycle is not uncertain demand but constrained supply," said Robert Castellano, an analyst at The Information Network. "At the advanced packaging level, this constrained supply from TSMC creates a secondary market opportunity for alternative technologies such as EMIB-T."
The move is driven by overwhelming demand for TSMC’s Chip on Wafer on Substrate (CoWoS) packaging, which has become the industry standard for high-performance AI processors. According to market analysis, Nvidia alone is expected to consume 60% of CoWoS capacity in 2026, with Broadcom and AMD absorbing another 26%. This leaves scant availability for a growing number of firms developing custom AI chips, including reports that Google and Meta are also exploring Intel’s EMIB for future accelerators.
Intel’s opportunity is to address the market overflow in a segment projected to grow significantly. The market for inference-focused processors, which EMIB is well-suited for, is expected to expand from 20% of total HBM processor demand in 2025 to 36% by 2027. If Intel can prove EMIB's viability at scale, it could capture a meaningful share of the incremental packaging demand, establishing a new revenue stream and increasing its strategic relevance in the AI era.
TSMC’s CoWoS architecture is the established leader for 2.5D packaging, enabling the high-density interconnects required to link powerful GPUs with multiple stacks of HBM. This design is indispensable for training large language models, delivering memory bandwidth measured in terabytes per second.
However, this dominance has created a structural imbalance. With capacity effectively pre-allocated to Nvidia and a few other top players, smaller AI chip developers and custom ASIC programs are left searching for alternatives. While TSMC is aggressively expanding, targeting a capacity of 130,000 to 160,000 wafers per month by 2026, demand continues to outstrip supply, a situation exacerbated by Nvidia’s move to a one-year product cadence.
Intel’s EMIB technology, now offered through Intel Foundry Services, presents a different architectural and economic proposition. Instead of a large, expensive silicon interposer that spans the entire package, EMIB embeds smaller silicon bridges directly into the substrate to connect the processor and HBM stacks. This approach can significantly lower package costs, a key consideration for the growing inference and custom ASIC markets.
Intel also claims a scalability advantage. While current CoWoS packages support sizes of roughly 3.3 times the reticle limit, Intel is targeting EMIB packages at 8 times the reticle size in 2026. This focus on large, cost-optimized designs positions EMIB not as a direct CoWoS replacement, but as a complementary solution for a different part of the expanding AI market.
Despite the clear market opportunity, Intel faces a significant hurdle: manufacturing yield. In advanced packaging, yield is the ultimate arbiter of cost and commercial viability. A single defect in the package can render the entire assembly—including a high-value processor die and multiple HBM stacks—worthless.
While Intel has used EMIB for its internal products, it has yet to demonstrate consistent, high-volume yields in an external foundry context. Analyst commentary suggests that achieving mass-production yields that are economically feasible will be the deciding factor for potential customers like Google and SK Hynix. Intel’s ability to translate its technology into a reliable, scalable commercial offering remains the key variable in its ambition to challenge TSMC’s packaging dominance.
This article is for informational purposes only and does not constitute investment advice.
