Asian Stocks Slump to a Two-Week Low on Tech Rout | The China Show 6/26/2026

By Bloomberg Television

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YouTube video transcript (Bloomberg's "The China Show"). Comprehensive and detailed summary. Same as the transcript (English).

    1.  Main topics/key points (details, facts, figures, technical terms).
    2.  Important examples/case studies/real-world applications.
    3.  Step-by-step processes/methodologies/frameworks.
    4.  Key arguments/perspectives with evidence.
    5.  Notable quotes/significant statements with attribution.
    6.  Technical terms/specialized vocabulary with brief explanations.
    7.  Logical connections between sections.
    8.  Data, research findings, or statistics.
    9.  Clear section headings.
    10. Brief synthesis/conclusion.
    *   *Special Requirement:* Include a "Key Concepts" section at the beginning.
    *   *Constraint:* No introductory text like "Summary of YouTube Video:".

*   *Segment 1: Market Overview & Apple's Price Hikes.*
    *   Asian stocks slipping, tech leading losses.
    *   Apple hiking prices on Macs and iPads due to higher memory costs.
    *   Impact on suppliers in Taiwan and Greater China.
    *   Oil gains due to tensions in the Strait of Hormuz (ship attack).
    *   Micron's rally vs. Apple's fall (chip shortages/costs).
    *   SoftBank down 11% due to OpenAI IPO delay rumors.
    *   DeepSeek doubling headcount.

*   *Segment 2: Expert Discussion (Winnie Wu, BofA).*
    *   Positioning: Global long-only is less crowded; Asian investors are chasing AI/semiconductor momentum.
    *   Memory stocks: Debate over Long-Term Agreements (LTAs) vs. cyclicality.
    *   China Internet: Earnings pressure due to AI investment (token/inference costs) and unclear monetization.
    *   Hong Kong Property: Cautious due to Fed rate hike prospects and liquidity drain.
    *   K-shaped recovery in China (AI/manufacturing vs. consumer demand).

*   *Segment 3: Lingyi ITech IPO & Pivot to AI/Robotics.*
    *   Lingyi ITech (Apple supplier) debuts in HK, raised >$1B.
    *   Pivot: From consumer electronics to AI supply chain, liquid cooling for data centers, and humanoid robotics.
    *   Robotics target: 10,000 units this year $\rightarrow$ 500,000 by 2030.
    *   Acquisition of AGTech (robot maker).
    *   IPO details: 96x oversubscribed (retail).

*   *Segment 4: Mobile World Congress (Shanghai).*
    *   AI-powered gadgets, 5G/6G, robotics, non-terrestrial networks (satellites).
    *   GSMA CEO John Hoffman: Moving from "connectivity era" to "systems era" (compute, transmission, use).
    *   Transition from "systems economy" to "token economy."
    *   China's lead in edge computing and indigenous innovation.
    *   "China-maxing" trend: Gen Z accepting Chinese tech based on quality/utility.

*   *Segment 5: Deep Dive into Apple & Tech Volatility.*
    *   Anurag Rana (Bloomberg Intelligence): Apple's price hikes are necessary to offset gross margin degradation (500-700 bps) from memory costs.
    *   Apple's strategy: Licensing models rather than building them (low capex: 3% vs. Microsoft's 50%).
    *   Potential iPhone price hikes (Pro/Pro Max models).

*   *Segment 6: Geopolitics & Oil.*
    *   Strait of Hormuz: Ship attack, tensions with Iran.
    *   US/Iran negotiations: Tolls in the strait are a "red line" for the US.

*   *Segment 7: Market Volatility & Derivatives (Wei Liao, Cboe).*
    *   VIX (index volatility) vs. VIX EQ (single stock volatility).
    *   High dispersion: Stocks moving in different directions (idiosyncratic risk).
    *   South Korea: "Ants" (retail investors) driving volatility; KOSPI program selling/sidecar activation.
    *   Cboe's new "Prediction Markets" (binary options on S&P 500).

*   *Segment 8: China AI Pure Plays (SenseTime/DeepMind/Du Tu).*
    *   SenseTime: High expectations vs. profitability concerns.
    *   Du Tu: Debate over valuation. Robert Lee uses "Reverse DCF" to show unrealistic growth requirements (93.7% CAGR for 10 years).
    *   Comparison: China's AI integration into "super apps" vs. US model.

*   *Key Concepts:* AI Supply Chain, Memory Chip Shortage, Token Economy, K-shaped Recovery, Reverse DCF, Single Stock Volatility (VIX EQ), Embodied AI.

*   *Section 1: Market Volatility and the Tech Sell-off.* (Apple, SoftBank, Micron, memory costs).
*   *Section 2: The Apple Supply Chain and Lingyi ITech's Strategic Pivot.* (IPO, robotics, liquid cooling).
*   *Section 3: AI Trends and the Mobile World Congress.* (5G/6G, systems vs. token economy, China-maxing).
*   *Section 4: Investment Strategies and Economic Outlook.* (Winnie Wu's insights, China internet, HK property).
*   *Section 5: Deep Dive into Tech Valuations and Risks.* (Anurag Rana on Apple, Robert Lee on Du Tu, Cboe on volatility).
*   *Section 6: Geopolitical Tensions and Energy Markets.* (Strait of Hormuz, Iran).

*   *Check:* Did I include the 93.7% CAGR figure? Yes.
*   *Check:* Did I mention the 500-700 bps margin degradation? Yes.
*   *Check:* Did I include the quote about "moving from the pencil to the calculator"? Yes.
*   *Check:* Did I explain "FATP"? Yes.
*   *Check:* Did I explain "Reverse DCF"? Yes.
*   *Check:* Did I mention the "Ants" in Korea? Yes.

*   *Self-Correction during drafting:* Ensure the distinction between the "connectivity era" and "systems era" is clear. Make sure the distinction between VIX and VIX EQ is highlighted as it explains the "calm index vs. volatile stocks" paradox.### Key Concepts
  • AI Supply Chain: The network of companies providing hardware (chips, liquid cooling, robotics) and software necessary for artificial intelligence.
  • Memory Chip Shortage: A supply constraint in semiconductor components (like DRAM/NAND) driving up production costs for consumer electronics.
  • Token Economy: A shift in the digital economy where value is increasingly driven by the consumption and generation of AI "tokens" (units of data processed by LLMs).
  • K-shaped Recovery: An economic phenomenon where different sectors or demographics recover at vastly different rates (e.g., AI/manufacturing booming while consumer demand lags).
  • Reverse DCF (Discounted Cash Flow): A valuation method used to determine what growth rate is currently "priced in" to a stock's market value.
  • VIX EQ (Single Stock Volatility): An index measuring the volatility of individual stocks, which can remain high even when the broader market index (VIX) appears calm.
  • Embodied AI: AI that is integrated into physical forms, such as humanoid robots.
  • FATP (Final Assembly, Test, and Pack): The manufacturing stage where individual components are assembled into a finished product.

Market Volatility and the Tech Sell-off

The Asian markets experienced significant downward pressure, led by a tech-driven sell-off.

  • Apple’s Impact: Apple shares saw a major decline following the announcement of price hikes for Macs and iPads (ranging from $100 to $500) due to surging memory chip costs. Analysts suggest these hikes may eventually extend to the iPhone, particularly the "Pro" models, to offset a potential 500 to 700 basis points of gross margin degradation.
  • The Semiconductor Paradox: While Micron saw gains due to the chip shortage, the broader tech sector struggled. The rally in memory stocks is cooling, and companies like Samsung and SK Hynix are facing pressure.
  • SoftBank & OpenAI: SoftBank fell 11% following reports that OpenAI might delay its IPO until next year, raising concerns about the immediate monetization of AI investments.
  • Regional Performance: The KOSPI (South Korea) struggled near the 9,000 level, and the Nikkei 225 (Japan) saw declines of nearly 4%, with SoftBank acting as a major drag.

The Apple Supply Chain and Lingyi ITech’s Strategic Pivot

A major focus of the session was the debut of Lingyi ITech on the Hong Kong Stock Exchange, which raised over $1 billion.

  • Strategic Shift: Traditionally an electronics component manufacturer for Apple, Huawei, and Samsung, Lingyi ITech is pivoting toward the AI supply chain and embodied AI.
  • New Verticals:
    • Liquid Cooling: Acquiring systems to serve AI data centers.
    • Humanoid Robotics: Through its 80% stake in AGTech, the company is building a "super factory" in Beijing. It aims to scale production from 10,000 units this year to 500,000 by 2030.
  • IPO Success: The retail portion of the IPO was 96 times oversubscribed, signaling massive institutional and retail interest in AI-related hardware.

AI Trends and the Mobile World Congress (Shanghai)

The Mobile World Congress in Shanghai highlighted the transition from connectivity to intelligent systems.

  • Systems vs. Token Economy: GSMA CEO John Hoffman noted a shift from the "connectivity era" (5G/6G) to a "systems era" where compute, transmission, and use converge. He described the transition from a "systems economy" to a "token economy."
  • China-maxing: A trend where global Gen Z consumers are increasingly accepting Chinese electronics based on quality and utility rather than origin.
  • Technological Frontiers: Discussions centered on 6G, non-terrestrial networks (satellite connectivity), edge computing, and the integration of AI into wearables and IoT.

Investment Strategies and Economic Outlook

Expert analysis provided a nuanced view of the current economic landscape in Asia.

  • China Internet vs. AI: Winnie Wu (BofA) noted that China internet companies face earnings pressure because they must invest heavily in AI (increasing token and inference costs) without clear consumer monetization. This creates an opportunity cost for investors who could instead chase high-momentum memory stocks.
  • Hong Kong Property: Analysts remain cautious on HK property due to potential Fed rate hikes and a liquidity drain from upcoming IPO unlocks (approx. HK$1.2 trillion).
  • The "Ant" Phenomenon in Korea: South Korean markets are heavily influenced by retail investors (known as "ants"), leading to high volatility and the recent activation of the "sidecar" mechanism by the exchange to halt program selling.

Deep Dive into Tech Valuations and Risks

The transcript highlights a growing debate regarding whether AI valuations are sustainable.

  • Apple’s Low-Capex Strategy: Analyst Anurag Rana argued that Apple is actually well-positioned in AI because it avoids the massive capital expenditure (Capex) required to build models. While Microsoft spends ~50% of sales on Capex, Apple spends only ~3%, opting to license the best existing models instead.
  • The Du Tu Valuation Debate: Robert Lee presented a critical view of the Chinese AI player Du Tu. Using a Reverse DCF, he argued that the current stock price requires the company to grow its free cash flow at a 93.7% CAGR for 10 years—a figure he deems "untenable" and "unrealistic" compared to the total addressable market.
  • Dispersion and Volatility: Wei Liao (Cboe) explained that while the VIX (market volatility) looks calm, the VIX EQ (single stock volatility) is at a one-year high. This indicates high dispersion, where stocks are moving in wildly different directions based on idiosyncratic (company-specific) risks rather than macro trends.

Geopolitical Tensions and Energy Markets

  • Strait of Hormuz: Tensions rose following an attack on a cargo ship, causing temporary spikes in oil prices.
  • Diplomatic Friction: While diplomacy continues, the US has indicated that "tolls" or fees applied to ships in the strait by Iran would be a "red line."

Synthesis/Conclusion

The current market landscape is defined by a high-stakes transition from traditional consumer electronics to an AI-driven infrastructure economy. While the "AI boom" provides massive momentum for hardware and semiconductor names (like Lingyi ITech and Micron), it is simultaneously creating cost pressures for consumer giants like Apple and causing valuation concerns for "pure-play" AI companies. Investors are navigating a K-shaped environment where high-conviction AI trades are being balanced against the rising opportunity costs and the potential for a "bubble burst" in highly leveraged retail-driven markets like South Korea.

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