Advanced packaging has moved from a behind-the-scenes manufacturing step to a constraint on how quickly the industry can turn AI-chip demand into finished processors. As companies race to add capacity, the opportunity is spreading beyond chip designers to packaging providers and equipment makers.
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What advanced packaging does—and why AI needs more of it
Advanced packaging brings separate pieces of silicon, such as processors and memory, together on a shared base so they can work at high speed.
30 That matters as graphics and central processing units increasingly combine multiple chips: Pat Gelsinger estimates that some designs use 10 or more, and sometimes as many as 20. He says advanced packaging could eventually account for as much as half a chip product’s value.
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That figure is an estimate of potential value, not a universal measure for every chip. But it illustrates why packaging is becoming strategically important: assembling multiple components into a working processor can be as consequential to supply as producing the silicon itself.
Demand is outrunning available capacity
Reuters reports that demand for AI processors is exceeding available advanced-packaging capacity. Nvidia, AMD and Taiwanese suppliers are expanding production, while equipment makers develop tools to support the growth.
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The market outlook reflects that shift. Yole Group forecasts that advanced-packaging revenue will surpass traditional-packaging revenue for the first time in 2026. Its related capital-spending forecast is nearing $28 billion.
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13 These are forecasts, not confirmed future results, but they show the scale of investment companies expect the capacity challenge to require.
Where the investment is going
ASE Technology said it would raise its planned 2026 capital expenditure by $2 billion to around $10.5 billion, citing strong demand. That figure is for the company’s overall spending; it should not be read as an amount devoted entirely to one customer or packaging technology.
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Separately, a report citing an unnamed industry executive says Nvidia is providing billions of dollars to support expansion at Siliconware Precision Industries (SPIL), an ASE subsidiary and a major packaging supplier for Nvidia chips. Because the account relies on an anonymous source, it is a reported financing arrangement—not a public confirmation of its terms by Nvidia.
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Powertech and Broadcom are also linked to the expansion push: reporting describes a planned $400 million advanced-packaging joint venture between the companies in Singapore.
7 Together, these examples show how the response involves both larger existing suppliers and new partnerships.
What the bottleneck means for the chip supply chain
TSMC dominates some of the most sophisticated packaging capacity, including chip-on-wafer-on-substrate, or CoWoS.
30 As AI demand strains available capacity, manufacturers and suppliers are seeking ways to expand production and develop additional tools.
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For the industry, the key point is that producing more wafers alone may not be enough to increase the supply of finished AI processors. Packaging capacity has to grow too. Announced spending and planned projects show that companies are responding, but they are not proof that current constraints have been resolved.
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