Asia dominates the global semiconductor supply. Five companies, spanning Taiwan, South Korea, and Japan, sit at the critical juncture of the AI buildout, controlling everything from fabrication to the equipment that makes chips possible. 

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Quick facts

• TSMC delivered $90 billion in revenue in 2024, with a 59% gross margin and shares up 55% in 2025.
• Advantest shares doubled (+102%) in 2025 as AI-driven chip testing demand surged.
• SK Hynix is Nvidia's primary HBM supplier, positioning it at the centre of the AI accelerator boom.

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1. Taiwan Semiconductor Manufacturing Co. (TSM)

TSMC is the world's largest contract chip manufacturer, producing advanced semiconductors for Apple, Nvidia, AMD, and Qualcomm. As a pure-play foundry, it leads in 5-nanometer (5nm) and 3- nanometer (3nm) chip production, with smaller nodes in development.

The company posted $90 billion in revenue for 2024 with a 59% gross margin and 36% return on equity. 

Shares delivered a total return of 55% in 2025, with analysts forecasting a further ~30% revenue increase in 2026, underpinned by its $100 billion US expansion programme.

The key risk for the company is its geopolitical exposure, with Taiwan Strait tensions remaining the sector's most-watched tail risk.

What to watch

• US expansion progress: Any delays, cost blowouts, or political friction concerning TSMC's $100 billion Arizona investment could weigh on sentiment.
• Customer order visibility: Watch for any guidance updates from Apple, Nvidia, or AMD on chip orders, as TSMC's revenue is highly concentrated among a handful of clients.
• Geopolitical developments: Any escalation of Taiwan Strait tensions could trigger sharp moves regardless of fundamentals.
• Next-node ramp: Progress on 2nm production and yield rates will be a key signal for TSMC's ability to maintain its technology lead.

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2. Samsung Electronics (KR:005930)

Samsung is one of the few companies globally that both designs and fabricates chips at scale. It competes across DRAM, NAND flash, and logic chip segments, and remains a core supplier to global tech giants.

Samsung's wide scope is a strength, but also a complexity. Its memory division faces margin pressure from inventory cycles, while its foundry business continues to lag TSMC in leading-edge yields. 

The AI-driven memory boom may provide a tailwind, though execution in HBM production has been slower than local rival SK Hynix.

What to watch

• HBM qualification progress: Samsung has been working to qualify its HBM3E chips with Nvidia. Any confirmation of a major supply win could be a meaningful catalyst.
• Memory pricing trends: DRAM and NAND spot prices could be an indicator of Samsung's margin trajectory.
• Foundry yield improvements: Samsung's logic foundry business has struggled with yields at advanced nodes; any credible progress here could re-rate the division.
• Management guidance: Following a period of earnings volatility, clarity on capex plans and divisional targets at upcoming results will be closely watched.

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3. Advantest (ATEYY)

Tokyo-based Advantest makes testing equipment used to verify chips meet performance and quality standards. 

It supplies to Samsung, Intel, Nvidia, Qualcomm, and Texas Instruments, allowing it to benefit from chip industry growth broadly, regardless of which foundry wins market share.

Advantest shares doubled in 2025 (+102%), and it raised its sales forecast by 21.8% and earnings forecast by 70.6% for the year ending March 2026.

What to watch

• Order backlog updates: Any contraction in Advantest's backlog could be an early warning sign after the strong 2025 run.
• AI chip testing demand: As chips grow more complex, testing time per chip increases. Monitor whether AI accelerator volumes from TSMC and Samsung start to drive outsized testing demand.
• FY2026 guidance: The next forecast update will be critical in confirming whether 2025's upgrade cycle has further to run.

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4. Tokyo Electron (T:8035)

Tokyo Electron is among the world's largest suppliers of semiconductor production equipment, specialising in deposition, etching, and cleaning tools. 

Every major chipmaker, including TSMC, Samsung, and SK Hynix, depends on TEL's systems to scale production.

As chipmakers invest billions to expand capacity, TEL's order book grows. The risk lies in potential US export restrictions on advanced equipment sales to China, which remains one of the primary revenue segments for the company.

What to watch

• US export control policy: China accounts for a significant portion of TEL's revenue. Any tightening of equipment export rules is the most immediate risk to watch.
• Chipmaker capex announcements: TSMC, Samsung, and SK Hynix's capital expenditure plans for 2026 directly translate into equipment orders. Any cuts could flow through to TEL's order book.
• New tool adoption cycles: Monitor whether TEL's next-generation deposition and etch tools are being adopted at leading-edge fabs.

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5. SK Hynix (KR:000660)

SK Hynix is the world's second-largest memory chip maker and has emerged as arguably the clearest AI-era beneficiary in the memory space. 

It is Nvidia's primary supplier of High Bandwidth Memory (HBM) chips, the specialised memory used in AI accelerators like the H100 and B200.

HBM demand has driven a dramatic re-rating of SK Hynix's revenue profile and market standing. With AI infrastructure spending showing little sign of slowing heading into 2026, the company's HBM franchise could remain a key differentiator. 

However, capacity constraints and the risk of Samsung and Micron closing the HBM gap are the primary concerns to watch.

What to watch

• Nvidia supply relationship: Any shift in Nvidia's supplier mix toward Samsung or Micron could be a key risk event.
• HBM4 development: The race to next-generation HBM is already underway. Watch for updates on SK Hynix's HBM4 readiness and whether it can maintain its lead.
• Conventional memory pricing: SK Hynix still derives meaningful revenue from standard DRAM and NAND. Spot price trends could be a gauge of the broader memory cycle.

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Bottom line

TSMC, SK Hynix, Samsung, Advantest, and Tokyo Electron collectively control the chokepoints of the AI buildout. 

The expected increase in AI infrastructure may support demand, but investors should weigh the risks carefully. 

Geopolitical exposure, US export restrictions, and the pace of HBM competition could all move the needle.

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While all eyes are on the US AI narrative dominated by Nvidia, Microsoft, and Google, Asia has quietly been moving on AI and is home to some of the world’s most aggressive AI bets.

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Quick facts

• SoftBank has committed $41 billion to OpenAI, securing approximately an 11% ownership stake.
• Alibaba plans to invest more than $50 billion in AI infrastructure over the coming years.
• Baidu's Core AI-powered business revenue grew 48% year over year in Q4, with ~70% of search results now AI-generated.

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1. SoftBank Group (TYO: 9984)

SoftBank is the most AI-committed company in Asia by capital deployed and ambition. CEO Masayoshi Son has declared the company in "total offence mode," having completed a $41 billion investment into OpenAI for approximately an 11% ownership stake. 

Son has also launched a $100 billion initiative aimed at building a vertically integrated AI semiconductor champion (Project Izanagi), repositioning SoftBank as an "AI-era industrial holding company." 

SoftBank's fortunes are now deeply tied to the success of OpenAI and Son's ability to execute his semiconductor plan that puts it in direct competition with established players.

What to monitor

• OpenAI's trajectory: Any shift in OpenAI's competitive position, valuation, or path to profitability has direct implications for SoftBank's balance sheet.
• Project Izanagi progress: Watch for partner announcements, funding milestones, and whether Son can attract the engineering and manufacturing talent needed.
• Arm Holdings performance: SoftBank also has a listed stake in Arm. Arm's data centre and AI chip licensing momentum is worth tracking.
• Debt levels and Vision Fund exposure: SoftBank carries significant leverage. Rising interest rates or a correction in AI valuations could pressure the group's net asset value.

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2. Alibaba Group (BABA)

Alibaba has committed more than US$50 billion to AI infrastructure, making it one of the largest AI capex programmes in the world. 

Its Qwen family of large language models underpins a rebuilt AI-focused cloud platform, and the company has partnered with Nvidia on physical AI projects. 

Alibaba Cloud is also the leading cloud provider in China. The key commercial question is whether Alibaba's can convert this cloud leadership into durable revenue growth.

However, it will have to navigate ongoing regulatory scrutiny in China and competition from local rivals like Huawei and ByteDance.

What to monitor

• Cloud AI revenue growth: The clearest signal of whether the $50 billion investment is translating into commercial traction.
• Qwen model adoption: Enterprise and developer uptake of the Qwen model family could be an indicator of Alibaba's AI platform stickiness.
• Regulatory environment: Beijing's approach to large tech platforms and any renewed regulatory action could disrupt execution and sentiment.
• US-China tech tensions: Nvidia partnership activity and access to advanced AI chips could be affected by further export controls.

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3. Baidu (BIDU)

Baidu has made the most visible AI transformation of any company on this list. It has released a 2.4 trillion parameter omni-modal model (ERNIE 5.0) with approximately 70% of its search results now delivered as AI-generated rich media. 

Beyond search, its Apollo Go robotaxi service is now partnering with Uber to expand into Dubai and the UK.

Its Core AI-powered business generated RMB 11.3 billion in Q4 revenue, up 48% YoY. The question now is whether that momentum is sustainable and whether the robotaxi business can scale economically.

What to monitor

• ERNIE monetisation: Watch for updates on enterprise API revenue and advertising yield improvements driven by AI-generated search.
• Apollo Go expansion: Rider volume growth and cost per ride will indicate whether unit economics are improving.
• Search market share: Competition from ByteDance and emerging AI-native search alternatives in China is a potential structural risk.

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4. Tencent Holdings (HK: 0700)

Tencent's AI play is to allocate its GPU capacity to itself. This allows it to convert AI directly into efficiency gains across its ecosystem. 

With WeChat's 1.4 billion users providing an unmatched data engine, Tencent is embedding AI across gaming, payments, cloud, and search in a way that is difficult to replicate. 

This approach also offers greater resilience against AI chip export restrictions, since the compute stays internal.

The AI upside here is arguably underappreciated because it is embedded rather than a separate segment, which could also mean the market may find it harder to isolate and value that contribution.

What to monitor

• Advertising revenue trends: The most measurable near-term AI benefit is from ad targeting improvements translating into sustained advertising revenue growth.
• WeChat ecosystem AI integration: Watch for new AI-native features within WeChat, including search, mini-programs, and payments, as signals of platform deepening.
• Regulatory and geopolitical risk: Tencent operates under ongoing scrutiny from Chinese regulators and faces restrictions in some Western markets.

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5. Kakao (KRX: 035720)

Kakao is South Korea's dominant AI and internet platform, operating KakaoTalk, which is used by approximately 95% of South Koreans.

It is one of the most aggressively AI-focused non-Chinese tech companies in Asia, investing heavily in LLM development and AI-native services. 

The domestic dominance of KakaoTalk provides a captive distribution platform for AI products in a way few companies outside China can match. The key question is whether Kakao can monetise that distribution advantage before global competitors close the gap.

What to monitor

• KakaoAI product rollouts: New AI-native features within KakaoTalk and Kakao's broader service suite are the most direct signal of commercial AI progress.
• Cloud division growth: Kakao's cloud business is the infrastructure layer for its AI ambitions. Revenue growth and enterprise customer additions are key metrics.
• LLM competitive positioning: Monitor how Kakao's models benchmark against global and regional peers, and whether Korean enterprise customers are adopting them at scale.
• Corporate governance: Kakao has faced governance-related scrutiny in recent years; any developments here could affect sentiment independently of AI progress.

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Bottom line

Asia's AI landscape is far more complicated than a simple "follow the AI spend" narrative suggests. 

China's top companies are innovating rapidly but operate under regulatory and geopolitical constraints. Japan's SoftBank is making the biggest single bet, but at a level of concentration risk that demands scrutiny. And South Korea's Kakao offers a differentiated, lower-geopolitical-risk angle.

The AI push in Asia is real. But the range of outcomes across these five names is wide, making it pivotal to understand each company's specific exposure and risk profile, not just its AI narrative.

The war in Iran is increasingly shifting from a regional conflict into a global energy shock, as disruption in the Strait of Hormuz threatens the oil market at its most critical chokepoint.

Key takeaways

• Around 20 million barrels per day (bpd) of oil and petroleum products normally pass through the Strait of Hormuz between Iran and Oman, equal to about one-fifth of global oil consumption and roughly 30% of global seaborne oil trade.

• This is a flow shock, not an inventory problem. Oil markets depend on continuous throughput, not static storage.

• If the disruption persists beyond a few weeks, Brent could shift from a short-term spike to a broader price shock, with stagflation risk.

The world’s most critical oil chokepoint

The Strait of Hormuz handles roughly 20 million barrels per day of oil and petroleum products, equal to about 20% of global oil consumption and around 30% of global seaborne oil trade. With global oil demand near 104 million bpd and spare capacity limited, the market was already tightly balanced before the latest escalation.

The strait is also a critical corridor for liquefied natural gas. Around 290 million cubic metres of LNG transited the route each day on average in 2024, representing roughly 20% of global LNG trade, with Asian markets the main destination.

The International Energy Agency (IEA) has described Hormuz as the world’s most important oil transit chokepoint, noting that even partial interruptions may trigger outsized price moves. Brent crude has moved above US$100 a barrel, reflecting both physical tightness and a rising geopolitical risk premium.

Tankers idle as flows slow

Shipping and insurance data now point to strain in real time. More than 85 large crude carriers are reported to be stranded in the Persian Gulf, while more than 150 vessels have been anchored, diverted or delayed as operators reassess safety and insurance cover. That would leave an estimated 120 million to 150 million barrels of crude sitting idle at sea.

Those volumes represent only six to seven days of normal Hormuz throughput, or a little more than one day of global oil consumption.

A market built on flow, not storage

Oil markets function on continuous movement. Refineries, petrochemical plants and global supply chains are calibrated to steady deliveries along predictable sea lanes. When flows through a chokepoint that carries roughly one-fifth of global oil consumption and around 30% of global seaborne oil trade are interrupted, the system can move from equilibrium to deficit within days.

Spare production capacity, largely concentrated within OPEC, is estimated at only 3 million to 5 million bpd. That falls well short of the volumes at risk if Hormuz flows are severely disrupted.

Oil market analysis

How long do idle tankers last?

135M idle barrels — days of cover against each demand benchmark

vs. Strait of Hormuz daily flow  (20M bbl/day)

6.75 days of Hormuz throughput covered

6.75 days

0

5

10

15

20

25

30 days

vs. Global oil consumption  (104M bbl/day)

1.3 days of world demand covered

1.3 days

0

5

10

15

20

25

30 days

vs. US Strategic Petroleum Reserve release  (1M bbl/day)

135 days of full SPR release pace covered

135 days — but SPR exists to replace this role

0

5

10

15

20

25

30 days

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135M

idle barrels on tankers (midpoint of 120–150M range)

~33%

of daily Hormuz flow that is idle storage, not transit

<31 hrs

is all idle storage against global daily consumption

Sources: IEA, EIA, industry estimates. Idle crude midpoint of 120–150M bbl range used.

GO Markets

Scenarios for the weeks ahead

Market trajectories now hinge on the duration and severity of the disruption.

Short disruption, 1 to 2 weeks

If tanker traffic resumes within 1 to 2 weeks, the shock may show up as a sharp but ultimately reversible spike.

Cumulative supply loss would remain relatively limited, while inventories and strategic stocks may partly bridge the shortfall. In that scenario, Brent could trade in roughly the US$95 to US$110 range as traders price temporary disruption and elevated risk premia.

Extended disruption, 2 to 4 weeks

Beyond a fortnight, the cumulative loss becomes more material.

A 2 to 4 week disruption affecting up to 20 million bpd could imply roughly 280 million to 560 million barrels of lost supply. Commercial inventories, floating storage and strategic reserves may then begin to erode more visibly. In that scenario, Brent could shift toward the US$110 to US$130 range, while higher fuel costs may begin feeding into transport and industrial production.

These price ranges are scenario-based and indicative, not forecasts.

If the war ends within four weeks

A ceasefire or credible de-escalation within roughly four weeks would likely trigger a sharp reversal in oil markets, though not an instant reset to pre-crisis levels.

Initially, the unwinding of geopolitical risk premia and the normalisation of tanker traffic could push Brent lower, potentially into the US$80 to US$95 range as speculative and hedging positions are reduced.

Assuming flows are fully restored and further disruptions are avoided, prices could gradually trend back toward the low US$70s over subsequent months, broadly consistent with projections that show inventories rebuilding once supply regains a small surplus over demand.

Watching the oil shock play out on the ASX?
‍See 5 Australian energy stocks traders are tracking after the Iran oil shock.

Inflation risks and macro spillovers

The inflationary impact of an oil shock typically arrives in waves. Higher fuel and energy prices may lift headline inflation quickly as petrol, diesel and power costs move higher.

Over time, higher energy costs may pass through freight, food, manufacturing and services. If the disruption persists, the combination of elevated inflation and slower growth could raise the risk of a stagflationary environment and leave central banks facing a difficult trade-off.

Higher crude rarely moves in isolation.
‍See which global energy and oil-services names tend to come into focus when oil prices rise.

No easy offset, a system with little slack

What makes the current episode particularly acute is the lack of slack in the global system.

Global supply and demand near 103 million to 104 million bpd leave little spare cushion when a chokepoint handling nearly 20 million bpd, or about one-fifth of global oil consumption, is compromised. Estimated spare capacity of 3 million to 5 million bpd, mostly within OPEC, would cover only a fraction of the volumes at risk.

Alternative routes, including pipelines that bypass Hormuz and rerouted shipping, can only partly offset lost flows, and usually at higher cost and with longer lead times.

Bottom line

Until transit through the Strait of Hormuz is restored and seen as credibly secure, global oil flows are likely to remain impaired and risk premia elevated. For investors, policymakers and corporate decision-makers, the core question is whether oil can move where it needs to go, every day, without interruption.

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^{Any scenarios, price ranges or market views in this article are illustrative only and should not be relied on as forecasts, guarantees or trading recommendations. Geopolitical events can cause sudden volatility, reduced liquidity and sharp price movements across oil, forex and CFD markets, and trading in these conditions carries a high risk of loss.}