Report Analysis: TSMC's AI Revenue to Double by 2027, CoWoS Capacity Remains a Bottleneck

marsbitPublished on 2026-06-25Last updated on 2026-06-25

Abstract

Morgan Stanley's report on June 23 forecasts explosive growth for TSMC's AI-related revenue. It predicts revenue will surge to $86.3 billion in 2027, a 218% increase from 2026's $27.1 billion. While GPUs (led by Nvidia) remain the primary driver, significant new demand is emerging from AMD's Venice CPUs and MI400 GPUs, and Google's TPUs. A critical bottleneck is CoWoS advanced packaging capacity. Global demand for CoWoS is projected to reach 2.694 million units in 2027, a 93% year-on-year increase. Even with TSMC's planned expansion to 200k wafers/month and non-TSMC capacity, a shortage is expected, particularly for high-end CoWoS-L used by Nvidia. This scarcity grants TSMC pricing power. Key near-term catalysts include improved ABF substrate supply, rising CPU demand, and Nvidia's Rubin Ultra production. The report highlights winners across the supply chain, including MediaTek (Google TPU partner) and ASE Group.

Author: Rita

TideResearch Insights

Morgan Stanley released an in-depth supply chain report on TSMC on June 23. The core conclusion: based on the latest supply chain survey, the forecast for global CoWoS advanced packaging demand in 2027 has been revised upwards. TSMC's AI-related revenue is projected to reach $86.3 billion in 2027, a 218% increase from $27.1 billion in 2026. Nvidia remains the core driver, but AMD's CPUs and Google's TPUs are becoming new growth engines. Most critically, even if TSMC expands its CoWoS capacity to 200,000 units per month, it may still fail to meet the global demand gap of 2.69 million units.

TSMC's AI Revenue Experiences Explosive Growth

Numbers speak loudest. Morgan Stanley predicts TSMC's AI-related revenue will hit $86.3 billion in 2027, compared to $27.1 billion in 2026, representing 218% growth. This is an exponential leap, not linear growth.

Breaking down the $86.3 billion, GPU revenue accounts for $28 billion, custom AI chip revenue for $18 billion, CoWoS advanced packaging revenue for $40 billion, and AI server CPU revenue for $0.3 billion. TSMC's role in the AI chip industry chain is not just wafer manufacturing; advanced packaging has become an equally important revenue stream.

By 2028, this number is expected to climb further to $106.6 billion. Within three years, TSMC's AI business has nearly tripled in scale. The construction of AI infrastructure is far from saturated; TSMC, as the "shovel seller," is still in the capacity ramp-up phase.

But can capacity really keep up?

Nvidia's demand for TSMC's CoWoS capacity remains the absolute main force. Morgan Stanley expects Nvidia's Rubin and Blackwell GPUs, along with its newly launched Vera CPU, will consume a total of 1.222 million CoWoS units in 2027, a 57% year-on-year increase.

What truly surprised Morgan Stanley is AMD. AMD's total CoWoS consumption is projected to surge 308%, from 120,000 units in 2026 to 530,000 units in 2027. Driving this growth is AMD's Venice CPU and MI400 series GPUs fully supporting agentic AI. The CPU market is being accelerated by AI penetration, not just the GPU market.

This shift is profound. Last year, market discussions focused on GPU dominance, but this year Morgan Stanley clearly sees data centers expanding procurement of both GPUs and CPUs. Nvidia's CPUs are also consuming capacity, while AMD's CPU consumption has surged significantly. The demand for CPU compute power on the AI inference side far exceeds expectations.

Google's TPU Quietly Becomes the Second Largest Consumer

Beyond Nvidia and AMD, Morgan Stanley particularly highlighted the demand from Google's TPUs. Google sources CoWoS advanced packaging through two channels: one is MediaTek as a design service partner, and the other is involvement from Broadcom. Both companies design and manufacture TPU chips for Google, requiring substantial CoWoS capacity.

Morgan Stanley believes that if the supply of ABF substrates improves, MediaTek's procurement volume of TPUs for Google has significant upside potential, and current forecasts might be conservative. Google's ambitions in AI chips have not yet been fully unleashed.

The CoWoS Capacity Gap Is Unbridgeable

Now, back to the most critical question: capacity.

Global CoWoS demand is 1.394 million units in 2026, projected to jump to 2.694 million units in 2027, a 93% increase. TSMC plans to expand its CoWoS capacity to 200,000 units per month by the end of 2027. Non-TSMC capacity is also expected to expand to 80,000 units per month. Combined, global capacity will be about 280,000 units per month, equivalent to an annual capacity of 3.36 million units.

This seems sufficient on the surface, but the problem lies in that the 2.694 million units is the estimated global demand, and Morgan Stanley's survey may not have fully captured all demand signals. Furthermore, the distribution between high-end CoWoS-L and CoWoS-S is crucial. The most advanced CoWoS-L, which Nvidia requires, is extremely tight, and this happens to be TSMC's strength.

Although total capacity appears adequate, TSMC remains in a state of supply shortage at the highest end of advanced packaging. This gives TSMC pricing power and explains Morgan Stanley's Overweight rating on the company.

Emerging Demand Catalysts Persist

Morgan Stanley listed three near-term catalysts. First, improvements in ABF substrate supply, particularly the release of T-Glass capacity procured by MediaTek, will directly boost Google TPU shipments. Second, validation of emerging CPU demand; Nvidia's Vera and AMD's Venice are beginning volume shipments, continuously driving CoWoS consumption. Third, the mass production of Nvidia's next-generation Rubin Ultra product, expected to see significant shipments in the second half of the year.

These catalysts linked together mean that TSMC's CoWoS business will not lack orders in 2027; the key is whether capacity can keep up. From this perspective, TSMC's capital expenditure cycle is far from over.

New Winners in the Supply Chain

In the report, Morgan Stanley specifically highlighted several companies to watch. MediaTek was listed as a top pick because it is Google's primary design partner for TPUs, directly benefiting from AI demand growth. ASE Group and KYEC were also reiterated with Overweight ratings, serving AMD's Venice CPU supply chain and Nvidia's GPU supply chain, respectively.

TSMC itself remains the core beneficiary, but Morgan Stanley's view is that the entire AI supply chain is benefiting, not just the chip design end.

TSMC's AI revenue growth is indeed astonishing; doubling to $86.3 billion by 2027 is not a fantasy. However, this growth is premised on the capacity actually being built, and, most crucially, that advanced packaging capacity does not become a new bottleneck. Morgan Stanley believes it will not, but also clearly points out that supply chain differentiation is intensifying, and the line between winners and losers is being redrawn.

Disclaimer

This article is TideResearch's collation and interpretation of a third-party brokerage research report. The ratings, target prices, earnings forecasts, and related judgments cited herein are the views of Morgan Stanley analysts, representing only the position of their institution, not TideResearch's views, and do not constitute any investment advice.

Please note three points while reading: First, target prices are analysts' expectations for the next approximately 12 months, representing forecasts, not promises, and are subject to frequent adjustments based on performance and market conditions. Second, sell-side research reports are inherently bullish, and some covered companies may have investment banking relationships with the brokerage. Third, the value of a research report lies in its core logic and underlying assumptions, not just a specific target price. Focus on the logic, not just the price.

The market carries risks; decisions should be made independently. This article should not be used as a basis for buying or selling any securities.

Data source: Morgan Stanley Research Report (Charlie Chan et al., June 23, 2026) · Public market data.

TideResearch · 2026 June

Trending Cryptos

Related Questions

QAccording to the Morgan Stanley report, what is the predicted AI-related revenue for TSMC in 2027 and what does this represent compared to 2026?

AThe report predicts TSMC's AI-related revenue will reach $86.3 billion in 2027, representing a 218% increase from the $27.1 billion projected for 2026.

QWhat are the main drivers for TSMC's AI revenue growth in 2027 beyond Nvidia, as highlighted in the report?

ABeyond Nvidia, the main drivers are AMD's Venice CPU and MI400 series GPU for agentic AI, and Google's TPU demand facilitated through design partners like MediaTek and Broadcom.

QWhat is the critical bottleneck identified for TSMC's AI growth, and what are the projected global CoWoS capacity versus demand figures for 2027?

AThe critical bottleneck is advanced CoWoS packaging capacity. The report projects global CoWoS demand to reach 2.694 million units in 2027, while total global capacity (TSMC and non-TSMC) is expected to be approximately 2.8 million units per month, or 3.36 million units annually. The supply for the most advanced CoWoS-L technology remains tight.

QWhich companies are listed in the report as new winners in the AI supply chain and why?

AMediaTek is listed as the top pick due to its role as Google's primary design service partner for TPUs. ASE Technology and KYEC are also reiterated as Overweight due to their roles in AMD's Venice CPU supply chain and Nvidia's GPU testing, respectively.

QWhat are the three near-term catalysts for CoWoS demand mentioned by Morgan Stanley?

AThe three catalysts are: 1) Improved supply of ABF substrates, particularly the release of T-Glass capacity for MediaTek, which would boost Google TPU shipments. 2) Validation of emerging CPU demand from Nvidia's Vera and AMD's Venice. 3) The mass production of Nvidia's next-generation Rubin Ultra GPU in the second half of the year.

Related Reads

The Crypto Industry Enters the 'Show Me' Era: Vision Alone Is No Longer Enough

The crypto industry has entered a "Show Me" era, where grand visions and white papers are no longer sufficient to gain traction. This shift is driven by increased skepticism, high-profile bad actors, and notably, the serious entry of traditional finance (TradFi) institutions like BlackRock, Fidelity, and JPMorgan Chase, which are launching real, scaled products such as tokenized funds and blockchain-based settlement. This raises the bar for what constitutes a credible project. The communication dynamic has fundamentally changed. The focus is no longer on "what you are building" but on "what you have built and who is using it." Startups must now provide a "proof stack": verifiable data like mainnet transaction volume and active wallets, genuine partnerships with signed contracts, and evidence of organic product-market fit from real users, not just investors. Announcements must be backed by concrete, chain-verifiable evidence. For communication strategies, this means leading with proven facts and hard data—even if modest—rather than speculative narratives. A compelling story must be grounded in demonstrated results. While vision remains important, the balance has inverted from 80% vision/20% substance to the opposite. This higher threshold ultimately benefits builders with genuine traction, filtering out noise and allowing their real signals to stand out clearly. The "Show Me" era is a permanent maturation, demanding that communication strategies prove value, not just promise it.

链捕手9m ago

The Crypto Industry Enters the 'Show Me' Era: Vision Alone Is No Longer Enough

链捕手9m ago

Meta Follows the Trend into Prediction Markets: Can It Avoid Repeating the Failure of the Metaverse?

Meta, the tech giant behind Facebook, has reportedly formed a team to develop "Arena," a new application focused on prediction markets. Users would use platform points to place bets on outcomes in politics, sports, and global events. This move follows Meta's massive, nearly $900 billion, losses from its heavily-invested metaverse division, Reality Labs. The prediction market industry is already showing strong demand, with leading platforms like Kalshi and Polymarket facilitating hundreds of billions in annual volume. Meta, with its 3.56 billion daily active users across its apps, possesses the unprecedented scale to bring this niche activity to a mainstream audience, similar to its past success in cloning features like Stories and Reels. However, Arena faces significant hurdles. Meta plans to start with a points-based system to avoid strict financial regulations, but this may dilute the core incentive of accurate prediction that real-money markets provide. More critically, Meta enters the space with a major trust deficit stemming from its past regulatory battles, notably the failed Libra/Diem stablecoin project, and its controversial history with political content and misinformation. The prediction market sector itself is under increasing regulatory scrutiny, with recent CFTC actions including fines and the first-ever insider trading case. While Meta's vast user base offers a unique opportunity to expand the market, its success hinges on navigating complex regulations and rebuilding the credibility necessary for a platform dealing with sensitive topics like elections. The outcome could range from Meta dramatically growing the industry to Arena becoming a high-profile regulatory target before it can scale.

Foresight News27m ago

Meta Follows the Trend into Prediction Markets: Can It Avoid Repeating the Failure of the Metaverse?

Foresight News27m ago

Stock Soars 1200% on First Day, 80s Sales Engineer's Reversal: From Selling FRP to a Fortune of 29 Billion

On its first day of listing, Zhenbao Technology (stock code "N Zhenbao") surged by 1207%, marking itself as the second "ten-bagger" new stock of the year on the STAR Market. The closing price of 585 yuan propelled it into the top 20 of the A-share market by stock price. Dubbed the "first share of semiconductor consumables," the company is backed by a comprehensive shareholder list including National Integrated Circuit Industry Investment Fund Phase II, SMIC, BOE, and YMTC. Zhenbao's business model focuses on supplying critical consumable components like silicon rings and quartz parts to semiconductor fabs. Unlike expensive core equipment with low repurchase rates, these consumables require frequent replacement as long as production lines are running, generating stable recurring revenue—a key reason for its high market valuation. Founder Wang Bing, an 80s-born former sales engineer, built the company by identifying a supply chain vulnerability: foreign monopolies on high-purity materials led to high costs and unstable deliveries for domestic fabs. Zhenbao's strategy emphasized reliability and speed over absolute top-tier performance, offering products at about 50% of the price with 80% of the performance but 100% on delivery and responsiveness. To achieve this, the company vertically integrated its operations across "raw materials + components + surface treatment," ensuring supply chain control and cost reduction. Its clientele now spans major domestic fabs like BOE and Huahong, as well as international players like SK Hynix and Texas Instruments. However, risks accompany its rapid expansion. The IPO raised approximately 1.605 billion yuan primarily for capacity expansion, which will bring significant annual depreciation costs, potentially impacting future profitability. The company's growth is heavily reliant on sustained high levels of fab expansion, making it vulnerable to the semiconductor industry's cyclical downturns. Other concerns include high accounts receivable (70.83% of revenue at one point in 2025), heavy reliance on its top five customers (over 70% of sales), and questions about the stability and authenticity of its R&D investments, evidenced by volatile R&D headcount and unusual spikes in R&D energy consumption. While the "consumables story" commands a premium, long-term valuation will depend on maintaining high capacity utilization and healthy cash flow conversion.

marsbit33m ago

Stock Soars 1200% on First Day, 80s Sales Engineer's Reversal: From Selling FRP to a Fortune of 29 Billion

marsbit33m ago

Warsh Deals a Heavy Blow to the 'Dollar Devaluation Trade'! Gold Crashes, Bitcoin Slumps, How Long Can the Chip Frenzy Hold?

The "dollar devaluation trade" that dominated Wall Street this year is rapidly unraveling, driven by a hawkish pivot from Fed Chairman Kevin Warsh and a surging U.S. dollar. This double pressure has triggered a sharp sell-off in non-yielding assets. Gold broke below $4,000 an ounce, silver tumbled below $60, and Bitcoin fell under $60,000, with all retreating significantly from their earlier 2025 peaks. The dollar index hit a 14-month high. Warsh's emphasis on price stability has solidified market expectations for aggressive rate hikes, increasing the opportunity cost of holding assets like precious metals. Concurrently, massive fund flows are rotating out of metals and cryptocurrencies into the semiconductor sector, providing a temporary boost to stocks like Micron and SK Hynix. However, analysts warn this chip rally shows signs of a speculative top. Extreme volatility, with semiconductor stocks seeing trillion-dollar swings, is historically characteristic of major market turning points. Factors like month-end rebalancing, a flood of new equity issuance, and insider selling further signal potential exhaustion. While Micron's strong earnings briefly stemmed selling, it may offer a favorable exit point for remaining chip bulls. The sustainability of the semiconductor frenzy is now in serious doubt as the broader market reprices assets around a stronger dollar and tighter monetary policy.

华尔街日报41m ago

Warsh Deals a Heavy Blow to the 'Dollar Devaluation Trade'! Gold Crashes, Bitcoin Slumps, How Long Can the Chip Frenzy Hold?

华尔街日报41m ago

Micron Shuts Up the Bears, Makes India's 'Buffett' Regret: Sold Too Early, Missed Out on $2 Billion

Indian value investor Mohnish Pabrai, a disciple of Warren Buffett, revealed his costly mistake of selling shares in Micron Technology too early. He initially invested in 2017, holding it for six years and building a position as large as 77% of his portfolio, based on a thesis that the memory chip industry would consolidate into a stable oligopoly of Samsung, SK Hynix, and Micron. However, he sold his entire stake in September 2023, fearing oversupply after Samsung announced production expansion. Shortly after his exit, demand for high-bandwidth memory (HBM) surged with the rise of AI, and Micron's stock price skyrocketed over 15 times in two years. Pabrai estimates this premature sale cost him roughly $20 billion in potential gains. He expressed similar regret over selling his investment in SK Hynix too soon, stating he violated his own principle of holding companies forever. Reflecting on these errors, Pabrai emphasized his core investment checklist principles: avoiding leverage, focusing on the durability of a company's competitive moat, and assessing management's character. Despite these personal trading missteps, his long-term view on the remaining memory chip leaders remains bullish, advising current holders not to sell as "the party is just getting started." He concluded by sharing his philosophical outlook, prioritizing character over wealth, and his goal to donate his entire fortune before his passing.

marsbit2h ago

Micron Shuts Up the Bears, Makes India's 'Buffett' Regret: Sold Too Early, Missed Out on $2 Billion

marsbit2h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片