Stock Markets June 24, 2026 12:54 AM

ASE Accelerates Site Buildout to Serve Rising AI Chip Packaging Demand

Company commits to broad expansion including greenfield sites, U.S. testing plants and multibillion-dollar capex as AI-driven demand stretches into 2029 and beyond

By Priya Menon
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ASE Technology Holding said it is scaling production capacity with 15 new sites, major U.S. investments and an $8.5 billion capital spending plan that may grow, positioning the company to support sustained AI-related packaging and testing demand through 2029 and later years. Management highlighted greenfield builds, acquisitions from Innolux and a measured approach to customer-driven investments in Arizona.

ASE Accelerates Site Buildout to Serve Rising AI Chip Packaging Demand
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Key Points

  • ASE is adding 15 new sites this year: six ASE greenfield sites, seven Siliconware Precision Industries (SPIL) greenfield sites, plus sites acquired from Innolux Corporation.
  • Capital expenditure is budgeted at $8.5 billion for the year but may exceed that amount as expansion plans proceed.
  • U.S. investments include two operational testing factories in California and two more planned; Arizona investments are under evaluation at a customer's request.

ASE Technology Holding, the worlds largest provider of chip packaging and testing services, is expanding its manufacturing footprint to meet what management describes as robust AI demand stretching beyond the near term. Chief Operating Officer Tien Wu said the company is adding 15 new sites this year and is moving ahead with a multiyear capacity plan aimed at 2029 and beyond.

Wu outlined where the new sites are coming from and how they fit into ASEs broader capital allocation. Among the 15 additions, the company is establishing six greenfield sites under the ASE banner and seven greenfield sites under its unit Siliconware Precision Industries. The buildout also incorporates sites acquired earlier this year from Innolux Corporation.

On spending, Wu reiterated that ASE has budgeted $8.5 billion for capital expenditure this year and cautioned that total capex could exceed that figure as expansion plans evolve.


U.S. investment and testing capacity

The company said it has been investing in the United States, with two testing factories currently operating in California and two additional testing plants planned. Wu noted ASE is evaluating investment options in Arizona requested by a specific customer, but said the company needs to weigh those proposals carefully before committing capital.

Wu emphasized that the factory expansion timeline is not limited to the immediate two years but extends into 2029 and beyond to address expected strong AI-related demand for packaging and testing services.


Customer ties and partner comments

The companys unit Siliconware Precision Industries (SPIL) is identified as a major packaging supplier for Nvidias AI chips. Nvidia said last year it planned to build up to $500 billion worth of AI server infrastructure in the United States with partners that included SPIL, but the subsidiary itself has not announced any investment plans tied to that initiative.


Implications for supply chain and production planning

ASEs announcements highlight a capacity push that spans greenfield construction, acquisitions and targeted U.S. testing facilities. Managements statements indicate the company intends to match capital deployment to evolving customer needs while maintaining caution on discrete site commitments such as those in Arizona.

Risks

  • Planned capex could increase beyond the $8.5 billion budget, affecting the company's cash allocation and capital planning - impacts the industrials and semiconductor equipment sectors.
  • ASE is still evaluating investments tied to a customer request in Arizona, creating uncertainty around timing and scale of U.S. capacity additions - impacts regional manufacturing and supply-chain planning.
  • Siliconware Precision Industries has been named among partners in a large Nvidia infrastructure plan, but SPIL has not announced investment commitments, leaving execution risk for any related capacity builds - impacts semiconductor packaging and data-center supply chains.

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