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When Nvidia's Jensen Huang speaks, Asia moves: AI infrastructure stocks to watch
The Editorial Desk
10/6/2026
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What are the five Asian tech and infrastructure stocks linked to the AI buildout?

Market Intelligence Insights | GO Markets

Jensen Huang stood on stage at GTC 2026 and projected US$1 trillion in cumulative AI hardware revenue through 2027, spanning the current Blackwell generation and the newly announced Vera Rubin architecture. That is not just a corporate forecast. It is a gravitational pull reshaping parts of the global technology sector.

In market circles, this effect is often linked to Huang's ability to move sentiment across AI-related stocks.

Here is the part that many retail investors can miss: NVIDIA is a fabless chip designer. It conceives the architecture and writes the code, but manufactures none of the actual silicon. Every dollar of that US$1 trillion projection would need to flow through a highly concentrated manufacturing pathway, and that route runs directly through Asia.

For APAC traders, the headline rally in New York is only half the story. The broader opportunity sits inside the Asian technology giants linked to the hardware supercycle: the companies making the parts, infrastructure and capacity without which none of this works.

Why the hardware stack matters

The largest passive exchange traded funds (ETFs) in the world are moving through a highly concentrated market structure. According to Morningstar Direct and Trivariate Research data, approximately 31.3% of the S&P 500 is now concentrated in just seven stocks. When too many dollars chase too few names, diversification can become less reliable and valuation multiples are more exposed.

US tech giants
High concentration longs
Seven stocks. 31.3% of the S&P 500. When positioning is this crowded, even a beat can fail to move the stock. The multiple is already doing the work the earnings should do.
→ Valuation multiple risk
APAC enablers
Uncrowded physical plays
Memory in Seoul. Foundries in Hsinchu. Power grids in Tokyo. These stocks do not need multiple expansion to perform. They need NVIDIA to keep shipping.
→ Pure-play volume capture

The APAC enablers tell a different story. They are less crowded than the US mega-cap AI trade, central to the buildout and driven more by volume capture than multiple expansion.

Where each stock sits in the stack
Layer 01
Memory Subsystem: Samsung & SK Hynix
Supplies high-bandwidth memory (HBM4) optimized for modern accelerator architectures.
Layer 02
Physical Fabrication: TSMC Foundry
Manages pure-play silicon wafer etching and critical advanced CoWoS packaging.
Layer 03
Architecture Core: NVIDIA (Fabless)
Conceives system logic blueprints (Blackwell/Vera Rubin platform architecture).
Layer 04
Deployment & Utilities: Alibaba Cloud & Hitachi
Operates localized ASIC data centre clusters and updates grid power infrastructure.

The thesis is direct: identify the companies supplying the raw materials, components and infrastructure, regardless of which AI model ultimately wins the commercial software race.

Five stocks across the AI infrastructure chain

Value Chain Stack Architecture // Individual Operators
01 TSMC 2330.TW
Taiwan Core Foundry

Taiwan Semiconductor Manufacturing Company is the foundry that makes the most advanced processors used across NVIDIA's AI accelerator roadmap. There is no credible alternative at scale for the cutting-edge chips the industry currently requires. That gives TSMC significant strategic relevance in this cycle.

For Q1 2026, the company posted revenue of US$35.9 billion, up more than 40% year-on-year, with a gross margin of 66.2%. High-performance computing (HPC), including AI-related revenue, accounted for about 61% of Q1 revenue.

Q1 2026 RevUS$35.9B
Gross Margin66.2%
HPC Segment61%
Watchpoint: CoWoS packaging capacity is still the constraint to watch. Recent supply-chain estimates from TrendForce and Silicon Analysts indicate that TSMC's CoWoS lines are fully booked, with lead times stretching as far as 104 weeks and capacity meeting only around 80% of aggregate demand. The question is whether TSMC's committed US$52 billion to US$56 billion capital expenditure (capex) for 2026 helps close the gap before demand moves further ahead of capacity.
02 Samsung Electronics 005930.KS
South Korea Memory

Samsung sits one layer above the processing core in the AI chip stack, supplying the high-bandwidth memory (HBM) that helps advanced processors operate at the speeds artificial intelligence workloads demand.

Samsung says its sixth-generation HBM4 is now in mass production and designed for the Vera Rubin platform. That places Samsung inside the next phase of AI infrastructure demand, alongside other HBM suppliers competing for allocation across advanced systems.

Watchpoint: Global tariff headwinds and domestic labour negotiations are the main operational risks to monitor, alongside profitability metrics in Samsung's semiconductor division.
03 SK Hynix 000660.KS
South Korea Memory

SK Hynix pioneered earlier generations of HBM architecture and remains deeply integrated into the NVIDIA value chain. That relationship is visible in upstream data: FormFactor reported SK Hynix accounted for 29.5% of its Q1 2026 revenue, with NVIDIA accounting for another 10.2%.

SK Hynix is also reportedly evaluating whether its memory products can work with Intel's packaging technology. That move reads as a potential hedge against TSMC's constrained CoWoS capacity.

Watchpoint: Geographic concentration is a real pressure point. Any escalation in regional geopolitical tensions would feed directly into this heavily centralised component ecosystem.
04 Alibaba Group BABA / 9988.HK
China Cloud Infrastructure

While the semiconductor companies capture the manufacturing layer, Alibaba represents the enterprise adoption layer. China's 15th Five-Year Plan for 2026 to 2030 places significant emphasis on an "AI plus" initiative and technology self-reliance.

Alibaba gives investors exposure to China's domestic AI infrastructure push, including customised computing clusters using locally designed application-specific integrated circuits (ASICs) as an alternative to Western-restricted hardware.

Watchpoint: The pressure is margin support. Markets are watching whether consumer-facing revenue can recover strongly enough to support the cloud division while capital-intensive infrastructure spending remains elevated.
05 Hitachi 6501.T
Japan Grid Infrastructure

Hitachi is not a chip company. It is an industrial conglomerate with deep expertise in factory automation and power grid infrastructure. AI data centres consume enormous amounts of electricity, which can place serious pressure on power networks.

Hitachi recently announced a major collaboration with Intel covering factory automation, energy infrastructure and custom chip design. Hitachi links the digital AI story with the infrastructure layer in Japan, where grid investment, automation and industrial efficiency are becoming part of the same conversation.

Watchpoint: Japanese manufacturers still face margin pressure from elevated domestic energy costs. Material cost inflation also remains a drag on industrial margins.
Macro Matrix Catalyst
16 June 2026
The APAC Central Bank Double-Header

This is the main macro date APAC tech traders need to watch.

Reserve Bank of Australia
4.35% Base
Hold Expected

A hawkish hold is expected as policymakers weigh energy-driven inflation. The RBA's posture is likely to remain important for the yield floor in Australian dollar carry trades.

Bank of Japan
1.00% Projected
66% Hike Prob.

Markets are pricing a 66% probability of a move to 1.00% as policymakers weigh yen weakness and the risk of a disorderly breach of the 160.00 level.

Bottom Line

Do not just watch the green candles in New York. The broader AI infrastructure story runs through memory in Seoul, foundries in Hsinchu and power grids in Tokyo. For traders, the task is to understand which parts of the hardware stack are most exposed before the next macro catalyst arrives. On 16 June, central bank decisions in Australia and Japan could shift the backdrop for APAC technology names.

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