# Сопутствующие статьи по теме Investment

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Investment", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Understanding CPO (Co-Packaged Optics) in One Article: Why Nvidia Is Willing to Spend $3.2 Billion on a Fiber?

NVIDIA and Corning announced a multi-year strategic partnership on May 6, 2026, with NVIDIA committing up to $3.2 billion to support Corning's U.S. expansion. This investment will triple Corning's manufacturing plants and significantly boost its optical fiber and communications production capacity. The core driver behind this massive investment is the fundamental shift from copper to optical interconnect technology within AI data centers. As GPU clusters scale, copper wires face critical limitations: severe signal attenuation over distance, high energy consumption for signal integrity, and excessive heat generation. Optical fiber, transmitting light instead of electrical signals, solves these issues with minimal loss, near-light speed, and lower power needs. The article outlines a three-stage evolution of data center interconnect: 1. **Traditional Copper Interconnects:** The mainstream solution of the 2010s, now being phased out due to scaling bottlenecks. 2. **Pluggable Optical Modules:** The current mainstream, where modules convert electrical signals to light externally. This process still introduces energy loss and latency. 3. **CPO (Co-Packaged Optics):** The next-generation technology where the optical engine is integrated directly with the GPU chip package. This drastically reduces the electrical signal travel distance to mere millimeters, slashing power consumption and latency while boosting data density. NVIDIA CEO Jensen Huang has identified CPO as an essential core technology for AI infrastructure. NVIDIA's investment signifies a strategic shift from being a buyer to actively controlling its supply chain for critical components. With demand for specialized optical fiber far outstripping supply—evidenced by soaring prices—securing long-term manufacturing capacity has become a competitive necessity. While Corning's expansion may pressure some suppliers, a projected global fiber supply gap of 5-15% over the next few years creates a significant opportunity window, particularly for Chinese manufacturers competitive in optical preforms, chips, and modules. Ultimately, NVIDIA's move is not about chasing a trend but an engineering imperative. The transition to light-based interconnects like CPO is driven by the physical limits of copper, marking a definitive step in the ongoing AI computing revolution.

marsbit05/11 10:07

Understanding CPO (Co-Packaged Optics) in One Article: Why Nvidia Is Willing to Spend $3.2 Billion on a Fiber?

marsbit05/11 10:07

After 50x Storage Surge, Justin Sun Always Looks to the Next Decade

Sun Yuchen, known for his controversial stunts like a $30 million lunch with Warren Buffett (canceled due to a kidney stone) and eating a $6.2 million duct-taped banana, is often overshadowed by a significant fact: his decade-long track record of spotting major investment trends. In 2016, he famously advised young people to invest in Bitcoin, Nvidia, Tesla, and Tencent instead of buying property. A hypothetical $20,000 investment in Nvidia and Tesla from that list would now be worth over 50 million RMB. His latest major call was on November 6, 2025, predicting a "50x storage opportunity" tied to the AI boom, which materialized with Sandisk's stock surging nearly 50-fold by 2026. Looking ahead, Sun now focuses on the next frontier: Physical AI. He identifies four key areas: 1. **Embodied AI/Robotics**: He sees this reaching its "iPhone moment," with companies like UBTech and Galaxy General leading in commercialization. 2. **Drones**: Viewed as the first commercially viable form of Physical AI, revolutionizing sectors from warfare (e.g., AeroVironment's Switchblade) to logistics. 3. **Spatial Computing**: Beyond VR, it's about AI understanding physical space, a foundational technology for robotics and autonomous systems, exemplified by Apple's Vision Pro. 4. **Space Exploration**: After a 2025 suborbital flight with Blue Origin, Sun advocates for space as the ultimate frontier, discussing blockchain's potential role in space asset management and data transactions. His investment philosophy involves betting on entire, inevitable trends rather than single companies. For robotics, he sees Tesla (the body/manufacturer) and Nvidia (the brain/AI platform) as complementary plays. In defense drones, he highlights companies making tanks obsolete (AeroVironment) and those augmenting fighter jets (Kratos). For space, he participated in Blue Origin's flight and anticipates SpaceX's potential IPO to redefine the sector's valuation. Sun Yuchen's vision frames the next two decades not as a revolution in information flow (like the internet), but in the fundamental operation of the physical world through AI-powered robots, autonomous systems, and spatial intelligence, ultimately extending human and AI activity into space. While many still focus on conventional assets, he continues to look toward the next technological horizon.

marsbit05/11 07:22

After 50x Storage Surge, Justin Sun Always Looks to the Next Decade

marsbit05/11 07:22

Interview with Michael Saylor: I Did Say I Would Sell Bitcoin, But Never a Net Sale

Interview with Michael Saylor: I Said We'd Sell Bitcoin, But Never Be a Net Seller In a recent podcast, MicroStrategy Executive Chairman Michael Saylor clarified the company's stance on potentially selling Bitcoin. Following MicroStrategy's earnings call statement about being prepared to sell BTC to fund dividends for its STRC (Strategic) credit product, Saylor emphasized the distinction between selling and being a "net seller." Saylor explained the core business model: MicroStrategy sells credit instruments like STRC and uses the proceeds to buy Bitcoin, which is viewed as "digital capital" expected to appreciate around 30-40% annually. A portion of these capital gains can then be used to pay the dividends on the credit products. He stressed that even if the company sells some Bitcoin for dividends, it simultaneously buys much more with new credit issuance. For example, after raising $3.2 billion from STRC sales in April, the dividend obligation was only $80-90 million, making the company a net buyer. The clarification aims to counter market narratives questioning the value of Bitcoin on MicroStrategy's balance sheet if it were never sold, and to dismiss claims of a "Ponzi scheme." Saylor reiterated his personal philosophy for investors: "Don't be a net seller of bitcoin" and ensure your Bitcoin holdings increase each year. Saylor also discussed Bitcoin's role as the foundation for "digital credit," noting that STRC has become the largest and most liquid preferred stock issue in the U.S., offering high risk-adjusted returns (Sharpe ratio). He highlighted Bitcoin's deep liquidity, stating that even large purchases by MicroStrategy do not move the market significantly, which is driven by macro factors, geopolitical tensions, and capital flows from ETFs and credit products. Finally, Saylor reflected on his early inspiration from sci-fi books, which motivated his path to MIT, and maintained his fundamental thesis on Bitcoin remains unchanged: it is superior digital capital enabling superior digital credit.

链捕手05/11 06:26

Interview with Michael Saylor: I Did Say I Would Sell Bitcoin, But Never a Net Sale

链捕手05/11 06:26

Attracting Global Capital, Asia's New 'Super Cycle' Is Unfolding

Investors are turning to Asia as the next frontier for global equity growth, with a new "super cycle" unfolding across the region. Driven by the AI revolution, Asian markets, particularly South Korea, have seen significant rallies. According to Morgan Stanley analysis, the underlying drivers of Asia's industrial cycle are shifting from traditional sectors like real estate and manufacturing to massive investments in AI infrastructure, energy security and transition, and supply chain resilience. Fixed asset investment in Asia is projected to grow from around $11 trillion in 2025 to $16 trillion by 2030, with a 7% annual growth rate from 2026-2030. The AI wave is a primary catalyst, driving immense capital expenditure for chips, servers, data centers, and power systems. Asia is central to this hardware supply chain. In China, AI investment is focused on building a full-system domestic capability, with the local AI chip market potentially reaching $86 billion by 2030. Beyond AI, China's export story is expanding from EVs and batteries to robotics. The country already captures about half of new global industrial robot demand and over 90% of humanoid robot shipments. This growth phase mirrors the early stages of China's EV export boom. Simultaneously, energy security investments, spurred by AI's massive power needs, are rising, with China benefiting from its leadership in solar, batteries, and EVs. Regional defense spending is also increasing structurally, supporting demand for advanced manufacturing. The main beneficiaries are China, South Korea, and Japan, positioned in core supply chain areas. However, risks remain, including potential overcapacity, profit margin pressures from competition, persistent technological restrictions, geopolitical friction, and workforce displacement due to AI-driven automation. Market volatility is also expected to increase as investor expectations diverge on the realization of these capital investment and export themes.

marsbit05/11 04:18

Attracting Global Capital, Asia's New 'Super Cycle' Is Unfolding

marsbit05/11 04:18

Crypto ETF Weekly Report | Last Week, U.S. Bitcoin Spot ETFs Saw Net Inflows of $631 Million; U.S. Ethereum Spot ETFs Saw Net Inflows of $70.3 Million

Crypto ETF Weekly Report: US Bitcoin spot ETFs saw a net inflow of $631 million last week, bringing total net assets to $106.66 billion. BlackRock's IBIT led inflows with $596 million. US Ethereum spot ETFs recorded a net inflow of $70.3 million, with total net assets reaching $13.73 billion, primarily driven by BlackRock's ETHA ($100 million). In Hong Kong, Bitcoin spot ETFs had a net inflow of 15.57 BTC (assets: $320 million), while Ethereum spot ETFs saw no inflows. On the options front, Bitcoin spot ETF options saw a total notional trading volume of $976 million and a put/call ratio of 2.90, indicating heightened short-term trading activity and a bullish sentiment. Additionally, a market report noted Coinbase and Kraken dominate 22% of AI citations in the US crypto sector, with BlackRock's IBIT leading responses to "Bitcoin ETF" queries. Meanwhile, the SEC has delayed its review of the first batch of prediction market ETFs linked to real-world events like election outcomes.

链捕手05/11 02:02

Crypto ETF Weekly Report | Last Week, U.S. Bitcoin Spot ETFs Saw Net Inflows of $631 Million; U.S. Ethereum Spot ETFs Saw Net Inflows of $70.3 Million

链捕手05/11 02:02

‘The Big Short’ Prototype Doubles Down on AI Crash Bets: Continues Shorting Nvidia and Palantir, While Buying Software Stocks

Michael Burry, the investor made famous by "The Big Short" for betting against the subprime mortgage bubble, is now building a comprehensive portfolio to bet against the AI rally. He maintains and has increased his bearish bets on AI beneficiaries Nvidia and Palantir, while expanding his short positions to include semiconductor ETF SOXX, Nasdaq 100 ETF QQQ, and Oracle. Concurrently, he is buying shares of traditional software companies like Adobe, Autodesk, Salesforce, and Veeva Systems, which have seen their prices decline amid the AI frenzy. Burry's core thesis is that an "AI infrastructure overbuild" is creating a bubble, drawing parallels to the dot-com era. He argues that major cloud customers are extending GPU depreciation schedules to inflate profits and that current capital expenditures are based on overly optimistic demand forecasts. While his short on Palantir is currently profitable, his Nvidia put options are underwater as the stock nears all-time highs. The combination of shorting high-flying AI stocks and buying depressed "AI victim" stocks forms a market-neutral hedge. Burry is betting that a repricing of the AI narrative will punish the former group while benefiting the latter.

marsbit05/09 06:48

‘The Big Short’ Prototype Doubles Down on AI Crash Bets: Continues Shorting Nvidia and Palantir, While Buying Software Stocks

marsbit05/09 06:48

Perspective: The current AI supercycle will last 15 years, but most are still buying stocks in the first FOMO stage

This article outlines a 15-year AI supercycle, segmented into four investment stages. It argues that while most investors are still focused on the first stage, smart money is already moving to the third. **Stage 1: The Foundation (2023-2025) - Priced In** The semiconductor layer (e.g., NVIDIA, AMD) is complete. While growth continues, the historic entry opportunity is over as risk/reward has compressed. **Stage 2: The Build-Out (2025-2027) - In Progress** This phase involves building the necessary physical infrastructure: power/utilities (CEG), cooling (VRT), networking (ANET), and nuclear SMRs (OKLO, SMR). Significant upside remains, but obvious names have already moved. **Stage 3: The Asymmetric Bet (2026-2028) - Positioning Window** AI moves into the physical world. Key areas include robotics/autonomy (Tesla Optimus), space/defense/drones (Rocket Lab, LUNR), and critical materials. This stage presents the best asymmetric risk/reward and is where positioning should occur now. **Stage 4: The Endgame (2028+) - Software Dominance** The mega-cap cloud platforms (Microsoft, Alphabet, Amazon, Meta), with their massive capital expenditure, will build the AI software layer and AGI infrastructure, aiming to win the entire cycle. **Core Conclusion:** The cycle is confirmed in Stage 2. Stage 3 (robotics, space, defense, nuclear SMRs) is where capital is currently rotating for maximum opportunity, while the majority of investors are expected to be 12 months behind this shift.

marsbit05/09 06:37

Perspective: The current AI supercycle will last 15 years, but most are still buying stocks in the first FOMO stage

marsbit05/09 06:37

Bitcoin Slips To $79,500 As $277 Million Exits Spot ETFs

Bitcoin has declined to around $79,500 following a notable shift in spot ETF flows. After a five-day streak of net inflows, U.S. spot Bitcoin ETFs saw $277 million in net outflows in a single day, breaking the positive trend that had contributed to BTC's recent rally toward $83,000. Despite this daily outflow, the week's net flow for Bitcoin ETFs remains positive at $768 million. U.S. spot Ethereum ETFs also experienced significant outflows of over $103 million on the same day, nearly erasing the week's inflows and bringing its weekly net flow down to just $66 million. Bitcoin's price action appears correlated with these ETF movements, with the asset currently trading near $79,800, reflecting a 3.5% gain over the past week.

bitcoinist05/09 05:21

Bitcoin Slips To $79,500 As $277 Million Exits Spot ETFs

bitcoinist05/09 05:21

Here’s How Much Ripple’s CTO XRP Holdings Would Be Worth If He Never Sold

The article discusses the hypothetical value of former Ripple CTO David Schwartz's XRP holdings if he had never sold. It details a report showing Schwartz once held 26 million XRP. The value of this stash would have fluctuated dramatically, from $130,000 in 2012 (at $0.005/XRP) to a peak of nearly $59.8 million in 2017 (at $2.30/XRP), and would have been over $54 million in 2024. Schwartz, however, sold most of his XRP in waves between 2012 and 2020 at around $0.10 per token, earning about $2.6 million at the time. He explained his conservative investment strategy, preferring stability and de-risking over chasing massive potential gains, and noted his current main crypto exposure is through Ripple stock.

bitcoinist05/08 22:34

Here’s How Much Ripple’s CTO XRP Holdings Would Be Worth If He Never Sold

bitcoinist05/08 22:34

JPMorgan: Saylor’s Strategy Could Buy $30 Billion In Bitcoin This Year

JPMorgan analysts estimate that Michael Saylor's MicroStrategy could purchase around $30 billion worth of Bitcoin in 2026 if its current acquisition pace continues, a significant acceleration from previous years. This follows the company's addition of 145,834 BTC worth approximately $11 billion so far in 2026, much of it bought below an estimated average cost of $75,000. JPMorgan notes the company has accelerated purchases again in April, pursuing an opportunity-driven strategy sensitive to market conditions. MicroStrategy's ability to raise capital is key to this strategy. Its stock trades at a ~26% premium to net asset value, facilitating equity or debt issuance to fund further Bitcoin buys. As of May 3, the company holds 818,334 BTC. Its CFO highlighted the success of its "Digital Credit" preferred equity platform, with over $13.5 billion outstanding, used to service dividends and fund Bitcoin acquisitions. However, this aggressive strategy increases obligations. The company reported a Q1 net loss of $12.54 billion, driven by an unrealized loss on digital assets. Its perpetual preferred stock dividends create a long-term payment commitment, with CEO Michael Saylor acknowledging the potential need to sell some Bitcoin for dividends, while emphasizing the core directive to "Buy more bitcoin than you sell."

bitcoinist05/08 18:05

JPMorgan: Saylor’s Strategy Could Buy $30 Billion In Bitcoin This Year

bitcoinist05/08 18:05

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