TSMC Accelerates CoWoS Output to 200,000 Wafers Monthly to Break AI Chip Bottleneck
Taiwan Semiconductor Manufacturing Company is executing a massive expansion of its advanced packaging capacity, aiming to clear the industry's primary AI hardware bottleneck by 2027.
By Factlen Editorial Team
- Foundry Leaders
- Focus on maintaining technological monopolies and maximizing margins through proprietary packaging.
- Hardware Challengers
- Aim to capture overflow demand and establish viable alternatives to TSMC's ecosystem.
- AI Infrastructure Buyers
- Prioritize securing immediate capacity while pushing for long-term supply chain diversification.
What's not represented
- · Environmental advocates monitoring the massive power and water requirements of new packaging fabs
- · Smaller chip startups priced out of advanced packaging capacity
Why this matters
Advanced packaging is the single biggest physical choke point in the global AI boom. By drastically scaling capacity, TSMC is ensuring that the hardware required to train and deploy next-generation AI models can keep pace with rapid software innovation.
Key points
- TSMC is expanding its CoWoS advanced packaging capacity to 200,000 wafers per month by 2027.
- The expansion aims to resolve a severe bottleneck that has constrained AI chip supplies for two years.
- Nvidia currently consumes an estimated 60% of TSMC's CoWoS output for its AI accelerators.
- Competitors like Intel and OSAT firms are capturing overflow demand as TSMC's lines remain fully booked.
- TSMC is also developing next-generation CoPoS technology to package chips on larger rectangular panels.
The artificial intelligence revolution is not currently constrained by the ability to print microscopic transistors onto silicon. Instead, the entire global supply chain of AI hardware is bottlenecked by the highly specialized glue that holds those chips together. For the past two years, the tech industry's most valuable companies have been trapped in a severe shortage of advanced packaging—the manufacturing step that connects raw logic processors to the high-speed memory they need to function. Now, Taiwan Semiconductor Manufacturing Company (TSMC) is executing one of the most aggressive industrial scale-ups in modern history to break that bottleneck. Driven by insatiable demand from hyperscalers and chip designers, TSMC is rapidly accelerating its capacity expansion, aiming to push its proprietary packaging output to a staggering 200,000 wafers per month by 2027. This massive leap in infrastructure investment is poised to clear the backlog of AI accelerators, ensuring that the physical hardware required to train and deploy next-generation AI models can finally keep pace with software innovation.[1]
To understand why this expansion is the most critical development in the semiconductor industry today, one must understand the mechanics of TSMC's proprietary technology: CoWoS, or Chip-on-Wafer-on-Substrate. Modern AI processors, such as Nvidia's highly sought-after Blackwell and Rubin architectures, are no longer single, monolithic squares of silicon. As chips have approached the physical limits of miniaturization, engineers have been forced to break them apart into smaller "chiplets." These logic chiplets must then be surrounded by towering stacks of High Bandwidth Memory (HBM) to feed them the massive datasets required for AI training. CoWoS is the intricate process of placing these disparate components side-by-side on a microscopic silicon bridge known as an interposer, which is then mounted onto a larger foundational substrate. The interposer contains microscopic, high-density wiring that allows terabytes of data to flow seamlessly between the logic and memory every single second, effectively tricking the separate chips into operating as one unified brain.[4]
The precision required to manufacture a CoWoS package is immense, and it is the primary reason why capacity has been so constrained. If the silicon interposer warps by even a fraction of a millimeter during the high-heat assembly process, the microscopic connections will fail, ruining a multi-thousand-dollar component instantly. Because TSMC perfected this delicate process years before its rivals, it effectively established a monopoly on the final, most crucial gate of AI hardware production. Every leading-edge AI accelerator worth deploying currently relies on TSMC's CoWoS technology. When tech executives warn that AI chips are "sold out" through the next year, they are not talking about a lack of raw silicon wafers; they are talking about a lack of CoWoS packaging capacity. By controlling this final assembly step, TSMC dictates when every major AI chip ships, who gets priority in the supply chain, and what the downstream costs will be for data center operators worldwide.[3][4]

A crucial factor driving the complexity and demand for CoWoS is the parallel explosion in High Bandwidth Memory requirements. AI models like large language models are notoriously memory-bound; their performance is dictated not just by how fast the logic chip can calculate, but by how quickly it can retrieve data from memory. To solve this, memory manufacturers like SK Hynix and Micron have developed HBM, which stacks memory chips vertically like a skyscraper and connects them with microscopic through-silicon vias. However, these delicate memory skyscrapers cannot be soldered directly to a standard motherboard. They must be placed mere millimeters away from the logic chip on a CoWoS interposer to achieve the necessary bandwidth. As next-generation AI chips demand up to eight or even twelve stacks of HBM per package, the physical size of the CoWoS interposer must grow proportionally, eating up more wafer space and further exacerbating the capacity crunch.[3][4]
The scale of the demand shock hitting TSMC's facilities has been entirely unprecedented, forcing the company to repeatedly tear up and revise its expansion blueprints. In early 2024, TSMC's CoWoS capacity sat at roughly 35,000 wafers per month. By the end of 2025, that figure had scaled to approximately 75,000 wafers. Now, according to industry analysts and supply chain trackers, the company is targeting between 120,000 and 140,000 wafers per month by the end of 2026. Yet even this near-quadrupling of capacity in under two years is not enough to satisfy the market. The newly announced target of 200,000 wafers per month by 2027 reflects a realization that AI infrastructure spending is not a temporary spike, but a structural shift in global computing. To hit these targets, TSMC has initiated 24-hour construction shifts at its new advanced packaging facilities in Tainan and Chiayi, Taiwan, pouring billions of dollars into cleanrooms and specialized equipment.[1][2]
The scale of the demand shock hitting TSMC's facilities has been entirely unprecedented, forcing the company to repeatedly tear up and revise its expansion blueprints.
At the center of this capacity crunch is Nvidia, the undisputed heavyweight champion of the AI hardware boom. Financial analysts estimate that Nvidia alone consumes roughly 60 percent of TSMC's total CoWoS output, effectively locking in hundreds of thousands of wafers to secure the rollout of its next-generation architectures. This massive allocation is not just for current-generation hardware; Nvidia has reportedly booked more than half of TSMC's projected 2026 and 2027 expansion capacity in advance. The remaining 40 percent of the CoWoS pie is the subject of a fierce, high-stakes bidding war among the rest of the technology sector. Giants like Broadcom, AMD, Google, and Amazon are all vying for whatever capacity they can secure to package their own custom AI silicon. For these companies, securing CoWoS allocation is an existential necessity; without it, their multi-billion-dollar investments in custom chip design cannot be transformed into physical, deployable hardware.[2][3]
The financial implications of this packaging bottleneck are staggering, reshaping the revenue models of the entire semiconductor industry. Historically, packaging was viewed as a low-margin, backend commodity process—literally just wrapping finished silicon in protective plastic. CoWoS has flipped that dynamic entirely. Advanced packaging is now a high-margin, value-driving technology that commands a significant premium. For TSMC, the CoWoS segment is growing at roughly four times the rate of its traditional logic wafer business, providing a massive boost to the company's overall profitability. Financial analysts project that as TSMC scales toward the 200,000-wafer mark in 2027, the revenue generated purely from advanced packaging will eclipse the total revenue of many mid-sized semiconductor firms. This margin expansion is a primary reason why TSMC is willing to invest billions in new facilities, confident that hyperscalers will pay whatever premium is necessary to secure their AI hardware.[2]

The sheer volume of demand overflowing from TSMC's fully booked production lines is finally creating lucrative opportunities for the company's competitors. Because TSMC simply cannot package every chip the industry wants to buy, secondary players are stepping in to catch the spillover. Intel, which has spent years developing its own advanced packaging alternative called EMIB (Embedded Multi-die Interconnect Bridge), is seeing a sudden surge in interest. Companies that are either unable to secure TSMC allocation or unwilling to wait out the 18-month lead times are increasingly turning to Intel's foundry services. Recent reports indicate that Intel is fielding inquiries from major tech firms looking to use EMIB for their custom silicon, marking the first time a credible second source has emerged in the advanced packaging market. This diversification is a healthy development for the broader tech ecosystem, as it reduces the industry's singular reliance on a single Taiwanese supplier.[4]
Beyond Intel, the overflow is also benefiting Outsourced Semiconductor Assembly and Test (OSAT) companies, such as ASE Technology and Amkor. While these firms may not possess the bleeding-edge silicon interposer technology required for Nvidia's most massive GPUs, they are highly capable of handling slightly less complex packaging tasks. TSMC is increasingly outsourcing the packaging of peripheral chips, automotive processors, and simpler CPU designs to these OSAT partners. This strategic offloading allows TSMC to dedicate its most advanced, high-margin CoWoS lines entirely to the most demanding AI accelerators. Industry estimates suggest that by 2027, OSAT partners could contribute an additional 50,000 to 60,000 wafers per month of advanced packaging capacity to the global supply chain, pushing the total ecosystem output well past the 200,000-wafer mark and significantly easing the pressure on data center builders.[3]
The concentration of this critical manufacturing step in Taiwan has also drawn intense scrutiny from policymakers and national security experts worldwide. While the United States and Europe have passed sweeping legislation like the CHIPS Act to bring semiconductor fabrication back to Western shores, those efforts have largely focused on printing the raw silicon wafers. However, if a chip is printed in Arizona but still must be shipped to Tainan for CoWoS packaging, the supply chain remains highly vulnerable to geopolitical disruptions. Recognizing this strategic gap, governments are now pressuring TSMC and its competitors to build advanced packaging facilities overseas. TSMC has responded by incorporating packaging capabilities into its long-term expansion plans for its Arizona campus, though volume production there is not expected until 2028. Until a geographically diverse packaging ecosystem matures, the global AI industry remains inextricably tethered to TSMC's Taiwanese facilities.[4]

Even as TSMC races to scale its CoWoS output, the company is already preparing to transcend the physical limitations of traditional semiconductor manufacturing. The current CoWoS process relies on circular silicon wafers that are 300 millimeters in diameter. However, as AI chips grow larger to accommodate more transistors and memory stacks, fewer of them can fit onto a single round wafer, and the curved edges result in significant wasted space. To solve this, TSMC is accelerating the development of a next-generation technology called CoPoS, or Chip-on-Panel-on-Substrate. Instead of using round silicon wafers, CoPoS utilizes massive rectangular panels made of glass or advanced organic materials. These rectangular panels drastically reduce edge waste and offer a much larger surface area, allowing engineers to design truly massive chip assemblies that would be physically impossible to manufacture on a standard 300mm wafer.
The transition to panel-level packaging represents the next great frontier in semiconductor engineering, and TSMC is guarding its progress closely. Supply chain sources indicate that TSMC has imposed strict confidentiality agreements on its equipment and material partners regarding the CoPoS rollout, viewing the technology as a critical competitive moat for the late 2020s. Pilot production for the panel-based system is targeted for mid-2027, perfectly aligning with the timeline for the 200,000-wafer CoWoS milestone. By simultaneously scaling its proven CoWoS technology to unprecedented volumes while pioneering the rectangular CoPoS panels of the future, TSMC is doing more than just clearing a temporary supply chain backlog. The company is actively defining the physical architecture that will allow artificial intelligence models to continue their exponential growth, ensuring that the hardware of tomorrow can support the software dreams of the next decade.[1]
How we got here
2022
TSMC's CoWoS capacity sits at roughly 10,000 wafers per month, primarily serving niche high-performance computing needs.
Late 2023
The generative AI boom triggers a massive demand shock, instantly selling out TSMC's advanced packaging capacity.
2024
TSMC scales CoWoS output to approximately 35,000 wafers per month, but lead times for AI chips stretch past 52 weeks.
Mid 2026
TSMC announces accelerated expansion plans, targeting 120,000 to 140,000 wafers per month by year's end.
2027 (Projected)
Industry capacity is expected to reach 200,000 wafers per month, with pilot production beginning for next-generation CoPoS panel packaging.
Viewpoints in depth
The Foundry Dominance View
TSMC and its investors view advanced packaging as a high-margin moat that secures long-term industry leadership.
For TSMC and bullish semiconductor analysts, the CoWoS bottleneck is less of a crisis and more of an unparalleled business opportunity. By controlling the final, most complex step of AI chip manufacturing, TSMC has transformed packaging from a low-margin backend chore into a premium service. This dominance allows the foundry to dictate terms, lock in multi-year contracts with hyperscalers, and fund massive capital expenditures that competitors simply cannot match. From this perspective, the aggressive push to 200,000 wafers and the development of CoPoS panel packaging are strategic moves to ensure that even if rivals catch up in raw silicon printing, they will remain bottlenecked by TSMC's superior assembly ecosystem.
The Challenger Ecosystem
Competitors and OSAT partners see the capacity crunch as a rare opening to break TSMC's monopoly.
Rival foundries like Intel, along with Outsourced Semiconductor Assembly and Test (OSAT) companies like ASE and Amkor, view the current CoWoS shortage as their best chance to capture high-margin AI revenue. Because TSMC's lines are fully booked through 2026, desperate chip designers are finally willing to explore alternative packaging solutions like Intel's EMIB. This camp argues that the industry's singular reliance on TSMC is a structural vulnerability that must be resolved. By catching the overflow demand and proving their own advanced packaging capabilities, these challengers hope to establish a permanent, multi-vendor ecosystem that breaks TSMC's exclusive grip on the AI hardware market.
The Hyperscaler Reality
Tech giants view packaging capacity as an existential resource that must be secured at any cost.
For companies like Nvidia, Google, Amazon, and Meta, CoWoS capacity is the physical currency of the AI arms race. Their perspective is driven entirely by the need to deploy next-generation models faster than their rivals. To these hyperscalers, the cost of advanced packaging is largely irrelevant compared to the opportunity cost of delayed hardware. This camp is driving the unprecedented bidding war for TSMC's output, effectively funding the foundry's massive expansion. However, they are also the loudest voices advocating for supply chain diversification, quietly funding research into alternative packaging methods and encouraging secondary suppliers to scale up, ensuring they are never entirely dependent on a single Taiwanese facility.
What we don't know
- Whether the accelerated capacity expansion will fully satisfy demand if AI infrastructure spending continues to exceed forecasts.
- How quickly alternative packaging technologies, like Intel's EMIB or glass substrates, can capture meaningful market share.
- The exact timeline for when next-generation CoPoS panel packaging will achieve high-volume commercial yields.
Key terms
- CoWoS (Chip-on-Wafer-on-Substrate)
- TSMC's proprietary advanced packaging technology that mounts logic chips and memory onto a silicon interposer to enable high-speed data transfer.
- Interposer
- A microscopic silicon bridge containing dense wiring that connects multiple chips together within a single package.
- HBM (High Bandwidth Memory)
- A type of memory that stacks DRAM chips vertically to provide massive data bandwidth, essential for AI processing.
- OSAT
- Outsourced Semiconductor Assembly and Test companies that specialize in the final packaging and testing of semiconductor devices.
- CoPoS (Chip-on-Panel-on-Substrate)
- A next-generation packaging technique that replaces circular silicon wafers with large rectangular panels to increase efficiency and package size.
Frequently asked
Why is there a shortage of AI chips?
The shortage is not caused by a lack of raw silicon, but by a bottleneck in 'advanced packaging'—the complex process of connecting the logic chips to high-speed memory. TSMC's capacity for this specific step has been overwhelmed by demand.
What is TSMC doing to fix the bottleneck?
TSMC is aggressively expanding its CoWoS packaging facilities, aiming to increase monthly output from roughly 35,000 wafers in 2024 to 200,000 wafers by 2027.
Are other companies helping to package AI chips?
Yes. Because TSMC is fully booked, competitors like Intel and specialized packaging firms like ASE and Amkor are picking up overflow orders to help meet the massive industry demand.
What comes after CoWoS?
TSMC is developing a technology called CoPoS, which uses large rectangular panels instead of circular wafers. This will reduce wasted space and allow for even larger, more powerful AI chip assemblies.
Sources
[1]DigiTimesAI Infrastructure Buyers
TSMC CoWoS output reportedly to reach at least 200K wafers in 2027
Read on DigiTimes →[2]Investing.comAI Infrastructure Buyers
Mizuho upgrades TSMC CoWoS capacity forecasts on AI demand
Read on Investing.com →[3]Silicon AnalystsAI Infrastructure Buyers
Advanced-packaging allocation, not wafer starts, is the binding constraint on AI hardware
Read on Silicon Analysts →[4]The New York TimesAI Infrastructure Buyers
How a Niche Technology Became a Choke Point for AI
Read on The New York Times →
Every angle. Every day.
Get technology stories with full source coverage and perspective breakdowns delivered to your inbox.






