Key Findings
Taiwan Semiconductor Manufacturing Company (TSMC), the world’s largest dedicated independent semiconductor foundry, and Amkor Technology, a leading independent outsourced semiconductor assembly and test (OSAT) provider, have signed a 10-year strategic partnership agreement. This landmark deal is aimed at substantially enhancing advanced semiconductor packaging and test capabilities within the United States. The collaboration will specifically focus on expanding advanced packaging solutions, including the critical CoWoS (Chip-on-Wafer-on-Substrate) technology widely utilized in AI and High-Performance Computing (HPC) applications, in alignment with TSMC’s state-of-the-art fabs being built in Arizona.
Technical / Clinical Details
CoWoS is a revolutionary 2.5D/3D packaging technology developed by TSMC, which integrates multiple semiconductor dies (e.g., high-performance CPUs/GPUs and HBM memory) onto a silicon interposer, which is then mounted onto a package substrate. This method dramatically shortens the interconnect distance between dies, leading to a significant increase in data transfer bandwidth and improved power efficiency. As the computational power and data throughput demands of AI chips grow exponentially, CoWoS stands as one of the most critical advanced packaging technologies, offering performance and integration levels unachievable with conventional 2D packaging.
Amkor Technology, as a leader in the OSAT industry, brings extensive experience and expertise in the high-volume production of complex advanced packaging solutions like CoWoS. Under this partnership, Amkor is expected to build or expand state-of-the-art packaging facilities in Arizona to handle the back-end processing of wafers manufactured by TSMC. This integrated approach will strengthen a domestic supply chain where chip manufacturing, packaging, and testing are completed within the US, thereby enhancing the stability and security of AI chip supply.
Background & Context
In recent years, rising geopolitical risks and concerns over supply chain vulnerabilities have driven the US to prioritize the strengthening of its domestic semiconductor manufacturing capabilities as a national strategic imperative. Policies such as the CHIPS Act have incentivized major semiconductor companies, including TSMC, to accelerate their investments in the United States. However, advanced semiconductor manufacturing requires not only front-end wafer fabrication but also sophisticated back-end packaging capabilities. Historically, a significant portion of advanced packaging has been concentrated in Asia, which has created a potential bottleneck in the US semiconductor supply chain.
The 10-year partnership between TSMC and Amkor is a crucial step toward alleviating this bottleneck and establishing a comprehensive advanced semiconductor ecosystem in the US. The growth of AI and HPC, in particular, is driving demand for highly integrated chip solutions, making the securing of domestic advanced packaging capacity vital for maintaining US technological leadership.
Strategic Significance & Outlook
This strategic alliance between TSMC and Amkor Technology holds historical significance for the US semiconductor industry. The expansion of advanced packaging capabilities in Arizona will accelerate the production of chips for AI and HPC, further bolstering US competitiveness in these critical sectors. This agreement serves as a model for building long-term supply chain resilience and may encourage similar domestic investments from other semiconductor companies.
For researchers and engineers, it opens new opportunities to engage in cutting-edge packaging technology development and mass production within the United States. For investors, the geographical diversification of the semiconductor manufacturing ecosystem and the increasing demand for advanced packaging suggest sustainable growth drivers for companies like TSMC and Amkor, enhancing their long-term investment value. This partnership will play a pivotal role in constructing the semiconductor infrastructure that underpins the next generation of AI technologies.
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