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Citrini's view: AI server demand is driving extreme divergence in MLCC delivery lead times, with high-end products taking up to 10 months to deliver.

57 minutes ago

Citrini analyst Jukan noted that MLCC (multi-layer ceramic capacitor) delivery cycles are experiencing severe divergence based on product specifications. Lead times for general-purpose products remain stable at 14 to 18 weeks (roughly 3.5 to 4.5 months), while high-capacitance and high-voltage products take about 4 to 5 months. However, high-end products for AI servers have entered a state of "severe supply tightness". Server-grade MLCCs from Murata and Samsung Electro-Mechanics have delivery times exceeding 20 weeks (over 5 months). Samsung Electro-Mechanics’ average lead time for some high-capacitance products is around 40 weeks, while Murata’s high-capacitance products of 1 microfarad and above saw their July delivery times rise to 30 weeks from 24 weeks in June. Some channel quotations even reach 36 weeks, nearly 10 months. This extreme divergence is expected to persist until the second half of 2026. The core driver of this gap is robust demand from AI servers and data centers: AI servers require 5 to 13 times more high-capacitance, miniaturized, high-reliability MLCCs than traditional servers. New capacity expansion has been delayed from Q4 2026 to 2027, so the supply-demand imbalance is unlikely to ease in the short term. Major manufacturers have simultaneously raised prices and expanded long-term supply agreements. Delivery times exceeding 5 months, even approaching a year, not only signal that manufacturers cannot rapidly boost supply in the short term, but also mark the start of enhanced pricing power and substantial improvements in profitability driven by high-value product portfolios. The AI bottleneck is spreading from GPUs and memory to the smallest components on circuit boards.

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Chainalysis sues the U.S. government, challenging ICE’s direct $94.6 million contract award to TRM Labs.

Blockchain analytics firm Chainalysis' government division, Chainalysis Government Solutions, has filed a lawsuit against U.S. Immigration and Customs Enforcement (ICE) over its direct award of an approximately $94.6 million contract to rival TRM Labs, challenging the procurement decision as "unreasonable and arbitrary." Chainalysis filed a protest with the U.S. Court of Federal Claims on July 27 regarding the one-year contract, which runs from July 1, 2026, to June 30, 2027, to provide blockchain forensics software and support services to a homeland security task force. TRM Labs intervened in the case on July 28 to defend the contract jointly with the U.S. government. ICE conducted market research in just about six days, received responses from eight companies, and concluded only TRM Labs had the required capabilities. Chainalysis’ core claims remain sealed due to trade secret concerns. The court has scheduled an oral argument for September 2 and ordered the government to issue a decision by September 10 at the latest.

15 minutes ago

iPhone 17 series may see global price hikes, with per-unit increases reaching nearly 1,000 yuan at the highest; persistent storage price hikes continue to impact Apple.

Affected by the continuous surge in storage chip prices, Apple plans to complete price adjustments for the iPhone 17 series across all global regions by the end of August, with the maximum per-unit increase likely not exceeding 1,000 yuan (RMB). The specific plan may reference the previous price hikes in the Japanese market. Apple raised prices for its entire iPhone lineup in Japan on July 17, with increases ranging from 8% to 11.3%. Among them, the iPhone Air saw the highest hike at 11.3%, the iPhone 17 Pro Max rose by 10.3%, adding 20,000 yen per unit. Calculated at the exchange rate at that time, the cost of purchasing a single iPhone in Japan increased by approximately 540 yuan to 835 yuan. Apple has not yet announced price hikes for the iPhone 17 in the Chinese market, but it raised prices for Mac, iPad, and other products in June, with some models seeing increases of 15% to 20%. Apple CEO Tim Cook previously stated that storage chip prices continue to rise, and the company is evaluating response measures. He described the current memory price environment as a "once-in-a-hundred-year flood," noting that prices have risen exponentially.

15 minutes ago

Is Anthropic targeting a $10 trillion valuation? AI model firms are emerging as new behemoths in capital markets.

Anthropic’s annualized revenue run rate as of the end of July has surpassed $65 billion, a nearly 40% increase from $47 billion in May, and more than seven times the roughly $9 billion it reported at the end of 2025. The company’s preliminary Q2 revenue exceeded $11.5 billion, with a year-over-year increase of at least 14x. Reuters previously reported that Anthropic has set a revenue target of $190–$200 billion for 2028, with market discussions around its potential IPO valuation exceeding $2 trillion, and some investors even deeming a $3 trillion valuation within reach. If Anthropic hits $200 billion in revenue by 2028 and trades at a 50x price-to-sales ratio, its theoretical market capitalization would reach $10 trillion. This outlook is underpinned by a growing "model-computing power-capital" cycle taking shape in the AI industry. Giants like NVIDIA and Amazon are continuously providing computing power to leading AI labs via investments, financing, and data center construction, while model companies such as Anthropic and OpenAI have become core demand drivers in the entire AI infrastructure investment chain. Notably, Anthropic’s growth rate is catching up to and even surpassing OpenAI’s. At the end of 2025, OpenAI’s annualized revenue stood at roughly $20 billion, more than double Anthropic’s; as of the end of July, Anthropic’s annualized revenue hit $65 billion, while OpenAI’s latest annualized revenue is around $40 billion. While a $10 trillion market cap remains an extreme hypothetical and faces risks including competition, computing power costs, and valuation corrections, as AI expands from infrastructure to the "intelligent productivity" layer, Anthropic has emerged as a key candidate for the market’s bet on the next company to top $1 trillion—and even $10 trillion—in valuation.

15 minutes ago

Bank of America: AI bubble is seen as the biggest tail risk in the market.

According to Bank of America's August Global Fund Manager Survey, 32% of investors identify the AI bubble as the top tail risk event. Tail risks refer to extreme, rare events that could significantly impact financial markets. The survey shows 27% of respondents view a disorderly rise in bond yields as the second-largest tail risk. Meanwhile, investors' confidence in U.S. equities outperforming other regional stock markets has further strengthened. The survey indicates 27% of participating fund managers are over allocating to U.S. stocks relative to the global benchmark weight, up 3 percentage points from July and hitting the highest level since December 2024. Year-to-date, U.S. equities as a whole have outperformed most overseas markets: the S&P 500 index has gained 13% cumulatively, while the Euro Stoxx 600 index has risen 10%. However, Japanese and South Korean stock markets have still performed better than U.S. equities over the same period.

15 minutes ago

Did Anthropic's Below-Expected Annual Revenue Spark a Market Sell-Off? U.S. Pre-Market Major Indices, Storage and Optical Communications Sectors See Broad Losses.

According to BIT (Bit.com) market data, major US stock index futures are trading lower ahead of the US market open: the Nasdaq fell 0.32%, the S&P 500 dropped 0.52%, and the Dow Jones declined 0.51%. Storage and optical communication sectors saw broad losses: SanDisk (SNDK) down 4.19%, Seagate Technology (STX) down 5.11%, Western Digital (WDC) down 5.23%, Micron Technology (MU) down 4.13%, SK Hynix (SKHY) down 4.39%. Corning (GLW) down 4.55%, Coherent (COHR) down 5.76%, Marvell Technology (MRVL) down 5.30%, Lumentum Holdings (LITE) down 5.98%, Nokia (NOK) down 3.43%. On the news front, Anthropic’s annual revenue fell short of market expectations, sparking questions about AI’s growth trajectory. Bloomberg previously reported that Anthropic’s annualized revenue run rate (ARR) reached approximately $65 billion as of the end of July. Against a backdrop where some third-party data and AI industry optimistic forecasts had pointed to over $80 billion, the $65 billion figure signals a slowing growth pace. The controversy centers on the definition of ARR, or annual recurring revenue, which essentially annualizes current revenue velocity and is not equivalent to audited full-year revenue. Sacra data shows Anthropic’s annualized revenue stood at roughly $47 billion in May, rising to $65 billion in July, but it also noted that revenue from cloud channels including AWS, Google, and Microsoft may be recognized on a gross basis, which would inflate the revenue figure and further draw market focus to gross margins and revenue quality.

15 minutes ago

Emerging market stock indices end their four-day winning streak, while the U.S. dollar edged slightly higher.

The benchmark emerging market stock index ended its four-day rally, while the emerging market currency index also retreated from its all-time high. A global bond sell-off and rising oil prices weighed on market risk sentiment. The MSCI Emerging Markets Index fell 0.7%, mainly dragged down by declines in Samsung Electronics and TSMC shares. The emerging market currency index dropped 0.1%, as the U.S. dollar strengthened for the first time in four days. Chris Turner, global head of markets at ING, said a massive sell-off in the U.S. long-term bond market is typically bad news for emerging market currencies and overall market risk. (Jin10)

15 minutes ago

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