However, the stock market narrative has broadened beyond foundry capacity. Investors are increasingly targeting other points of leverage in the AI hardware stack, particularly where shortages are emerging.
That shift shows up clearly in stock performance. In 2026, TSMC shares rose strongly—about 40–46% in some estimates—but MediaTek and Samsung each gained roughly 140–150%, the biggest relative underperformance of TSMC versus MediaTek since 2009.
This does not reflect weakness at TSMC. Instead, it reflects where investors see the greatest marginal upside in the AI supply chain.
One driver is the expanding role of AI accelerator design.
MediaTek, traditionally known for smartphone processors, has benefited from growing interest in custom AI chips and application‑specific integrated circuits (ASICs). Companies such as Alphabet have explored collaborations with chip designers to build specialized processors optimized for specific AI workloads.
As hyperscalers and cloud companies develop custom silicon strategies, fabless designers gain direct exposure to product cycles and customer wins. That gives them more visible growth potential compared with a contract manufacturer whose capacity is already heavily booked.
In other words, while TSMC manufactures the chips, companies like MediaTek increasingly shape what those chips actually do.
The biggest structural shift in the AI hardware market may be memory.
Modern AI systems require enormous amounts of high‑bandwidth memory (HBM) and server DRAM to feed data to GPUs and AI accelerators at high speeds. As data‑center builders race to deploy new AI infrastructure, demand for these components has surged far faster than supply.
That imbalance has pushed memory prices sharply higher:
Manufacturers have shifted production capacity toward high‑margin HBM used in AI systems, which has further tightened supply for conventional DRAM products.
This dynamic gives memory giants such as Samsung and SK hynix powerful pricing leverage—something investors often reward during semiconductor cycles.
Samsung has even warned that AI‑driven memory shortages could persist through at least 2027 as customers reserve supply years in advance.
The broader market realization in 2026 is that AI infrastructure has multiple bottlenecks, not just GPU manufacturing.
Key pressure points now include:
As AI servers become more power‑dense, even thermal management and electricity supply are becoming critical constraints. Analysts estimate global AI server power capacity could grow about 74% year‑over‑year, accelerating demand for liquid cooling and other infrastructure technologies.
Investors are increasingly allocating capital toward companies positioned at these chokepoints rather than focusing exclusively on the leading foundry.
The AI rally in Asia is also splitting into two regional ecosystems.
Taiwan’s advantage lies in the broader semiconductor and server supply chain. AI demand has lifted not only TSMC but also server manufacturers and component suppliers that build the physical infrastructure behind hyperscale data centers.
South Korea’s strength is memory. Samsung and SK hynix dominate the production of high‑bandwidth memory used alongside AI accelerators, giving the country a critical role in AI infrastructure.
Both ecosystems benefit from massive hyperscale spending: global cloud providers are projected to invest about $750 billion in data centers by 2026, with most AI hardware produced in Asia.
Despite the shifting investment focus, TSMC remains a central pillar of the AI industry.
The company continues to post record revenue growth driven by AI demand, with high‑performance computing—including AI processors—accounting for a majority of its business.
The difference in 2026 is simply that investors now see more opportunities around the edges of the AI stack.
Instead of a single dominant stock, the rally has become an ecosystem trade spanning chip design, memory, servers, and the infrastructure required to power the world’s rapidly expanding AI data centers.
In other words, the AI boom in Asia is no longer just about who makes the chips. It’s about every component required to run them.
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