Taiwan Semiconductor Manufacturing Company (TSMC) just dropped results that should quiet the doubters about AI adoption. In Q3, the chipmaker generated NT$989.9 billion in revenue—roughly $33.1 billion—representing a 30% year-over-year jump (or 41% in U.S. dollars). Earnings per share hit NT$17.44 ($2.92 per ADR), up 39% from the prior year.
Wall Street’s consensus had pegged Q3 revenue at $32 billion with EPS of $1.95. TSMC didn’t just meet expectations—it demolished them. This wasn’t by accident. CFO Wendell Huang attributed the surge to “strong demand for our leading-edge process technologies,” which is investor-speak for AI.
Where the Growth Is Really Happening
The high-performance computing (HPC) segment, where AI chips live, exploded 57% year over year. That’s the real headline. Meanwhile, smartphone processor revenue climbed 30%, showing TSMC’s portfolio isn’t a one-trick pony.
But here’s what matters for the forward outlook: Management guided Q4 revenue to $32.8 billion at the midpoint—a 24% increase versus last year’s Q4. Analysts were modeling $31.5 billion, so TSMC is pointing to continued momentum that exceeds consensus bets.
During the earnings call, CEO C.C. Wei shared a critical insight: TSMC continues to observe “very strong signals” from customers regarding accelerating demand for AI-focused chips. Translation? The tailwind isn’t losing speed.
Why This Matters for Nvidia Stock
Nvidia controls roughly 92% of the data center GPU market, and it’s the dominant force behind AI infrastructure. The company’s graphics processing units became the backbone of the AI revolution, helping propel its market cap above $4 trillion.
The persistent question: Has demand peaked? TSMC’s results provide a clear answer—not yet. Nvidia CEO Jensen Huang previously noted that data center spending driven by AI adoption could reach $3 trillion to $4 trillion by 2030. For that scenario to play out, the infrastructure buildout needs to keep expanding.
TSMC’s heavy ongoing investment in leading-edge manufacturing capacity signals one thing: customers aren’t reducing orders. As TSMC supplies the foundational chips upon which Nvidia’s GPUs are built, sustained demand at TSMC translates directly to opportunity for Nvidia.
The Downstream Expansion Play
Currently, most GPU adoption concentrates among hyperscale players—Amazon Web Services, Microsoft Azure, Google Cloud, and Meta Platforms. But enterprise adoption is beginning to accelerate as more companies chase AI productivity gains.
This downstream movement represents the next wave of growth. Each new enterprise deploying AI systems, whether for training or inference workloads, requires the infrastructure that Nvidia’s ecosystem powers. TSMC’s results suggest that pipeline is still building.
What’s the Valuation Picture?
Nvidia stock trades at roughly 28 times next year’s expected earnings—a premium valuation, but the company is projected to grow revenue 26% annually over the next five years. For a business riding secular tailwinds tied to AI adoption, that math doesn’t look unreasonable.
Since early 2023 when AI captured mainstream attention, Nvidia stock has gained more than 1,140%. Recent market narratives questioned whether adoption was slowing, but frontline commentary from TSMC tells a different story. The data suggests acceleration remains the baseline case.
TSMC’s blockbuster quarter isn’t just good news for TSMC investors—it’s validation that the AI infrastructure cycle has legs.
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TSMC's Stellar Q3 Report Just Validated the AI Boom—Here's What It Means for Nvidia
The Numbers Tell a Compelling Story
Taiwan Semiconductor Manufacturing Company (TSMC) just dropped results that should quiet the doubters about AI adoption. In Q3, the chipmaker generated NT$989.9 billion in revenue—roughly $33.1 billion—representing a 30% year-over-year jump (or 41% in U.S. dollars). Earnings per share hit NT$17.44 ($2.92 per ADR), up 39% from the prior year.
Wall Street’s consensus had pegged Q3 revenue at $32 billion with EPS of $1.95. TSMC didn’t just meet expectations—it demolished them. This wasn’t by accident. CFO Wendell Huang attributed the surge to “strong demand for our leading-edge process technologies,” which is investor-speak for AI.
Where the Growth Is Really Happening
The high-performance computing (HPC) segment, where AI chips live, exploded 57% year over year. That’s the real headline. Meanwhile, smartphone processor revenue climbed 30%, showing TSMC’s portfolio isn’t a one-trick pony.
But here’s what matters for the forward outlook: Management guided Q4 revenue to $32.8 billion at the midpoint—a 24% increase versus last year’s Q4. Analysts were modeling $31.5 billion, so TSMC is pointing to continued momentum that exceeds consensus bets.
During the earnings call, CEO C.C. Wei shared a critical insight: TSMC continues to observe “very strong signals” from customers regarding accelerating demand for AI-focused chips. Translation? The tailwind isn’t losing speed.
Why This Matters for Nvidia Stock
Nvidia controls roughly 92% of the data center GPU market, and it’s the dominant force behind AI infrastructure. The company’s graphics processing units became the backbone of the AI revolution, helping propel its market cap above $4 trillion.
The persistent question: Has demand peaked? TSMC’s results provide a clear answer—not yet. Nvidia CEO Jensen Huang previously noted that data center spending driven by AI adoption could reach $3 trillion to $4 trillion by 2030. For that scenario to play out, the infrastructure buildout needs to keep expanding.
TSMC’s heavy ongoing investment in leading-edge manufacturing capacity signals one thing: customers aren’t reducing orders. As TSMC supplies the foundational chips upon which Nvidia’s GPUs are built, sustained demand at TSMC translates directly to opportunity for Nvidia.
The Downstream Expansion Play
Currently, most GPU adoption concentrates among hyperscale players—Amazon Web Services, Microsoft Azure, Google Cloud, and Meta Platforms. But enterprise adoption is beginning to accelerate as more companies chase AI productivity gains.
This downstream movement represents the next wave of growth. Each new enterprise deploying AI systems, whether for training or inference workloads, requires the infrastructure that Nvidia’s ecosystem powers. TSMC’s results suggest that pipeline is still building.
What’s the Valuation Picture?
Nvidia stock trades at roughly 28 times next year’s expected earnings—a premium valuation, but the company is projected to grow revenue 26% annually over the next five years. For a business riding secular tailwinds tied to AI adoption, that math doesn’t look unreasonable.
Since early 2023 when AI captured mainstream attention, Nvidia stock has gained more than 1,140%. Recent market narratives questioned whether adoption was slowing, but frontline commentary from TSMC tells a different story. The data suggests acceleration remains the baseline case.
TSMC’s blockbuster quarter isn’t just good news for TSMC investors—it’s validation that the AI infrastructure cycle has legs.