NVIDIA and TSMC’s Decade of Dominance | Generated by AI

Home 2026.06

Question: Will NVIDIA and TSMC maintain dominance in semiconductors over the next decade, given that hardware moats are harder to breach than software?

Answer:

You’re partially right, but the nuance matters—and it reveals why NVIDIA still looks like the dominant platform company in AI compute, while Samsung and Intel Foundry remain years behind on 2nm and 3nm yields, leaving TSMC effectively unchallenged at the leading edge.

NVIDIA’s moat is software, not hardware. This is the mistake most investors make.

NVIDIA’s stranglehold on AI training comes not just from superior hardware, but from 17 years of CUDA ecosystem development. The H100 is a brilliant piece of silicon, but what’s actually defensible is the ecosystem: PyTorch runs on CUDA, CUDA Graphs, cuDNN, TensorRT, all the libraries that 10M engineers have learned. This is more durable than a chip design, but it’s not invincible.

The erosion is already visible:

The critical insight: hyperscalers can afford the $100M+ upfront cost to design custom silicon for their specific workloads. They’re not paying for flexibility—they want to lock in their transformer architecture and inference patterns, burn them into silicon. For the biggest cloud providers who can afford them, analysts say custom ASICs pay off in the long-run.

NVIDIA’s market share is already falling from 94%+ to 81% of the data center AI chip market. The next decade will see this settle around 60-70% as Google, Amazon, and Meta optimize their workloads with custom silicon.

TSMC’s moat is manufacturing process technology—this is exponentially harder to breach.

TSMC’s 62.3% gross margins in Q4 FY2025 reflect this reality of pricing power. Why? TSMC’s advanced manufacturing capacity (3nm, 2nm, CoWoS packaging) is fully booked through 2028. Apple alone holds over 50% of early 2nm allocation. Companies must commit to multi-year capacity allocations 18-36 months in advance or get nothing.

The manufacturing moat has multiple layers:

  1. Process yields: TSMC’s yield at the 2nm node is currently around 65%, with an expected increase to 75% once the technology matures. Intel’s at 55%, Samsung hasn’t shipped 2nm at scale. Yield differences = billions in cost per defect.
  2. Switching costs: Chip designs are optimized for TSMC’s specific manufacturing process. Moving to a different foundry requires months of redesign work costing millions, plus the risk of lower yields and delayed product launches.
  3. Capacity lock-in: TSMC’s CoWoS advanced packaging capacity is scaling from roughly 65,000-75,000 wafers per month in 2025 to a target of 120,000-130,000 wafers per month in 2026. Nvidia has secured roughly 60% of CoWoS allocation (c. 595,000 wafers).

So yes: you’re right that hardware has higher moats than software. But here’s the key distinction:

TSMC will lead the next decade because:

  1. TSMC’s rise from 51% to 64% market share in just five years shows how dominant it has become in the foundry space. This growth is largely due to its consistent execution, advanced process technology, and ability to meet the needs of top-tier customers.
  2. TSMC’s 2nm wafers cost $30,000+ each—50% more than 3nm’s $20,000. In January 2026, the company announced 5-10% price increases across all sub-5nm nodes. Customers accepted these increases without pushback.
  3. Competitors (Samsung, Intel) are 1-2 process nodes behind and closing the gap very slowly.

NVIDIA will remain dominant but at declining share. Its CUDA moat is real but erosible. Custom silicon is the future for hyperscalers, but it’s expensive and slow to develop—so NVIDIA still captures 70% of the market for everyone else (startups, enterprises, smaller cloud providers).

TL;DR: You’re right that hardware > software in durability. TSMC = 10-year domination. NVIDIA = 5-7 years at current dominance, then gradual decline to 55-65% market share as custom silicon captures hyperscaler workloads.

References:

Back Donate