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Taiwan AI supply chain shifts to CPO

2026-06-09 10:17

Taiwan’s artificial intelligence supply chain is rapidly restructuring around co-packaged optics (CPO), application-specific integrated circuits (ASIC), and compound semiconductors, with nine listed companies taking key roles as demand for AI infrastructure accelerates. Market momentum is strengthening due to large-scale spending by cloud providers, easing earlier concerns about capital expenditure cuts and shifting focus toward supply constraints and execution risks.

CPO market growth anchored by TSMC platform

The CPO segment is set for explosive expansion, with projections showing growth from USD 164 million in 2026 to USD 91 billion by 2028. This surge is tied closely to the planned mass production of TSMC’s COUPE platform, built on its SoIC heterogeneous integration technology.

COUPE is expected to define the sector’s production timeline, though technical challenges remain. Industry data indicates that testing, fiber array unit (FAU) integration, and high-speed optical packaging are the main bottlenecks delaying large-scale commercialization.

Five Taiwanese firms are positioned across these bottlenecks. FOCI supplies critical FAU components to NVIDIA and TSMC and is projected to generate TWD 20 billion in FAU revenue by 2028. Patent collaborations with Himax and TSMC confirm its role in advanced 22-channel designs. Shunsin KY and Xintec focus on packaging and testing, with Xintec expanding capacity ahead of late-2026 demand. MSS Corps specializes in testing and is targeting a dominant share of the niche, while Nextronics provides connectors and thermal modules for NVIDIA’s supply chain.

Together, these companies form a tightly linked optical ecosystem, with downstream exposure concentrated heavily on TSMC and NVIDIA.

ASIC and custom chip demand expands

A second major growth driver is custom chip development for hyperscale cloud platforms. Alchip, Unimicron, and MediaTek are key participants in this segment.

Alchip designs ASICs used in Amazon’s Trainium and Inferentia chips and may contribute to future Trainium 3 developments, with AI now making up about 80 percent of its revenue. Unimicron dominates ABF substrate supply, holding significant shares in NVIDIA GPUs and cloud-based AI chips from Google and AWS, with AI contributing over 60 percent of its business. MediaTek is expected to support Google’s next-generation TPU systems, further strengthening its position in cloud AI hardware.

Compound semiconductors gain strategic importance

Win Semiconductor remains a critical player in compound semiconductors, operating as one of the few global foundries for InP and GaAs technologies. Its components are used in Starlink satellite systems and optical laser applications.

The company expects demand for 1.6T optical communication modules to grow two to three times in 2026. Its role in laser manufacturing positions it to benefit from expansion in satellite communications and machine vision systems.

Infrastructure and energy constraints emerge

Beyond chip production, upstream materials and downstream infrastructure are becoming increasingly important. TSMC’s capital expenditure is projected near the top of its USD 52 billion to 56 billion range in 2026, directly supporting demand for testing, substrates, and cooling systems.

At the same time, Taiwan’s data center expansion is facing energy supply constraints. Taipower reports that transformer and turbine shortages have pushed delivery times to as long as eight years while doubling costs.

This imbalance is creating opportunities for firms such as Delta Electronics, AVC, and Auras Technology. These companies specialize in power systems and advanced cooling solutions, an increasingly critical component of AI infrastructure. The global server cooling market is forecast to reach USD 17.6 billion by 2027, driven by rapid annual growth.

Spending surge shifts risk outlook

Concerns over reduced cloud spending have been overtaken by a sharp increase in investment plans. Combined capital expenditures from the top five cloud providers are now estimated to approach USD 750 billion in 2026, marking a 67 percent increase year over year.

This surge is reinforcing demand across the CPO and ASIC ecosystems, transforming the primary risk from weak spending into challenges tied to scaling production and managing supply chain pressure.

Market reactions highlight this shift. A weaker-than-expected AI revenue forecast from Broadcom initially triggered a 10.26 percent drop in the Philadelphia Semiconductor Index. However, the index rebounded 5.6 percent days later, reflecting renewed confidence among traders in long-term AI demand.

New bottlenecks emerge across supply chain

As demand accelerates, new constraints are forming. Shortages are spreading beyond advanced packaging into memory, substrates, and materials analysis.

Unimicron is preparing for tight supply in high-end ABF substrates as demand from GPUs, ASICs, and CPO technologies converges. MSS Corps has identified semiconductor materials characterization as another emerging bottleneck, particularly as manufacturing approaches angstrom-scale precision.

These pressure points indicate that the next phase of growth will depend not only on demand but on how quickly the industry can expand capacity and resolve technical limitations.


To align your AI and semiconductor strategies with capital flows, explore Toobit’s crypto infrastructure insights today.

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