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TSMC's Advanced Packaging Capacity Is Maxed Out Thanks To AI Chip Rush

MarketDash Editorial Team
13 hours ago
Taiwan Semiconductor is so overwhelmed by demand for its advanced CoWoS packaging from Nvidia, Google, Amazon and others that it's breaking with tradition and outsourcing work to partners starting in 2026.

Taiwan Semiconductor Manufacturing Co. (TSM) has a problem that most companies dream about: too much demand. The chipmaker is drowning in orders for its Chip on Wafer on Substrate packaging technology, with Nvidia Corp. (NVDA), Alphabet Inc.'s (GOOG) (GOOGL) Google, Amazon.com Inc. (AMZN) and MediaTek all racing to lock down capacity for next-generation AI chips.

Every Last Slot Is Taken

According to Taiwan-based outlet Money UDN, orders across TSMC's CoWoS-L and CoWoS-S processes are overflowing. Despite aggressive expansion efforts, there's simply no spare room left. TSMC's chairman acknowledged the crunch during a recent earnings call, saying current CoWoS capacity is in severe short supply and that the company is investing heavily to bridge the gap.

This matters because CoWoS packaging is essential for building the high-performance AI chips that power everything from data center GPUs to custom silicon. When TSMC runs out of packaging capacity, it becomes a bottleneck for the entire AI supply chain.

Breaking With Tradition

Here's where things get interesting. TSMC has historically kept its most advanced processes in-house, controlling everything from fabrication to packaging. But with demand continuing to outpace internal expansion, the company is preparing to outsource parts of its packaging workflow beginning in 2026.

Supply chain insiders say TSMC is accelerating collaborations with equipment and packaging partners to ensure silicon interposers, multi-chip modules and other advanced components can be delivered without delays. Suppliers including Hung-Soo, Wan-Run, Hsin-Yun, Chih-Mao, Chih-Sheng, Xun-De, Yu-Tian and Mu-Te are reportedly seeing surging orders as TSMC shifts from a fully in-house model to a hybrid approach.

This is a significant strategic shift. For TSMC to farm out any part of its advanced packaging workflow signals just how unprecedented the current demand environment really is.

The Nvidia Effect

Research firm Counterpoint expects TSMC's CoWoS-L output to reach 100,000 wafers per month by late 2026, fueled primarily by accelerating GPU and custom ASIC orders from Nvidia. The chipmaker remains a key manufacturing partner for Nvidia's Blackwell AI platform, which continues to see strong worldwide demand despite shifting U.S. export rules.

ASE Technology (ASX) is also benefiting from spillover demand as customers look for alternative packaging capacity wherever they can find it.

There's been speculation that Apple Inc. (AAPL) and Qualcomm Inc. (QCOM) might explore Intel Corp.'s (INTC) packaging services as a backup option. But industry sources told Money UDN that TSMC's deep customer relationships and integrated manufacturing services make large-scale defections unlikely. When you've got a supplier that can handle everything from cutting-edge fabrication to advanced packaging under one roof, switching carries real risk.

The Numbers Tell The Story

TSMC reported last month that consolidated net revenue for October 2025 came in at approximately NT$367.47 billion, marking a 16.9% increase from a year earlier and 11.0% higher than the previous quarter. Revenue from January through October totaled NT$3.13 trillion, up 33.8% compared to the same period last year.

The stock has surged 47.07% year-to-date, reflecting investor confidence that the AI chip boom has legs. The company ranks in the 93rd percentile for Quality and the 86th percentile for Growth and Momentum, demonstrating strong performance relative to competitors.

The bottom line: TSMC is running full throttle to meet AI chip demand, and even that's not enough. The company's willingness to break with tradition and outsource packaging work shows how serious the capacity crunch has become. For now, TSMC remains the indispensable partner for anyone serious about building advanced AI chips.

Back to News

TSMC's Advanced Packaging Capacity Is Maxed Out Thanks To AI Chip Rush

MarketDash Editorial Team
13 hours ago
Taiwan Semiconductor is so overwhelmed by demand for its advanced CoWoS packaging from Nvidia, Google, Amazon and others that it's breaking with tradition and outsourcing work to partners starting in 2026.

Taiwan Semiconductor Manufacturing Co. (TSM) has a problem that most companies dream about: too much demand. The chipmaker is drowning in orders for its Chip on Wafer on Substrate packaging technology, with Nvidia Corp. (NVDA), Alphabet Inc.'s (GOOG) (GOOGL) Google, Amazon.com Inc. (AMZN) and MediaTek all racing to lock down capacity for next-generation AI chips.

Every Last Slot Is Taken

According to Taiwan-based outlet Money UDN, orders across TSMC's CoWoS-L and CoWoS-S processes are overflowing. Despite aggressive expansion efforts, there's simply no spare room left. TSMC's chairman acknowledged the crunch during a recent earnings call, saying current CoWoS capacity is in severe short supply and that the company is investing heavily to bridge the gap.

This matters because CoWoS packaging is essential for building the high-performance AI chips that power everything from data center GPUs to custom silicon. When TSMC runs out of packaging capacity, it becomes a bottleneck for the entire AI supply chain.

Breaking With Tradition

Here's where things get interesting. TSMC has historically kept its most advanced processes in-house, controlling everything from fabrication to packaging. But with demand continuing to outpace internal expansion, the company is preparing to outsource parts of its packaging workflow beginning in 2026.

Supply chain insiders say TSMC is accelerating collaborations with equipment and packaging partners to ensure silicon interposers, multi-chip modules and other advanced components can be delivered without delays. Suppliers including Hung-Soo, Wan-Run, Hsin-Yun, Chih-Mao, Chih-Sheng, Xun-De, Yu-Tian and Mu-Te are reportedly seeing surging orders as TSMC shifts from a fully in-house model to a hybrid approach.

This is a significant strategic shift. For TSMC to farm out any part of its advanced packaging workflow signals just how unprecedented the current demand environment really is.

The Nvidia Effect

Research firm Counterpoint expects TSMC's CoWoS-L output to reach 100,000 wafers per month by late 2026, fueled primarily by accelerating GPU and custom ASIC orders from Nvidia. The chipmaker remains a key manufacturing partner for Nvidia's Blackwell AI platform, which continues to see strong worldwide demand despite shifting U.S. export rules.

ASE Technology (ASX) is also benefiting from spillover demand as customers look for alternative packaging capacity wherever they can find it.

There's been speculation that Apple Inc. (AAPL) and Qualcomm Inc. (QCOM) might explore Intel Corp.'s (INTC) packaging services as a backup option. But industry sources told Money UDN that TSMC's deep customer relationships and integrated manufacturing services make large-scale defections unlikely. When you've got a supplier that can handle everything from cutting-edge fabrication to advanced packaging under one roof, switching carries real risk.

The Numbers Tell The Story

TSMC reported last month that consolidated net revenue for October 2025 came in at approximately NT$367.47 billion, marking a 16.9% increase from a year earlier and 11.0% higher than the previous quarter. Revenue from January through October totaled NT$3.13 trillion, up 33.8% compared to the same period last year.

The stock has surged 47.07% year-to-date, reflecting investor confidence that the AI chip boom has legs. The company ranks in the 93rd percentile for Quality and the 86th percentile for Growth and Momentum, demonstrating strong performance relative to competitors.

The bottom line: TSMC is running full throttle to meet AI chip demand, and even that's not enough. The company's willingness to break with tradition and outsource packaging work shows how serious the capacity crunch has become. For now, TSMC remains the indispensable partner for anyone serious about building advanced AI chips.