# Сопутствующие статьи по теме AI

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

Valuation Surpasses 200 Billion, Kimi Reportedly Raises 13.6 Billion More, Speeds Up Hong Kong IPO

Beijing-based AI unicoth MoonDark (Kimi) is reportedly in talks for a new funding round aiming to raise up to $20 billion (approximately RMB 136 billion), targeting a post-money valuation of $300 billion (approximately RMB 2.035 trillion). If successful, this would mark its third round in six months and a six-fold increase from its $43 billion valuation in December last year. Last month, the company completed a $20 billion funding round led by Meituan Longzhu, reaching a valuation exceeding $200 billion. According to reports, MoonDark has raised over RMB 376 billion across six rounds, making it the most funded large language model startup in China. Founded in 2023 by CEO Yang Zhilin, the company's core product is the Kimi AI Assistant. In April, it launched and open-sourced its flagship model, Kimi K2.6, which has demonstrated performance comparable to top models like GPT-5.4 in certain benchmarks. Recently, it began beta testing for Kimi Work, a local AI agent for knowledge workers. Commercially, the company's Annual Recurring Revenue (ARR) reportedly surpassed $2 billion in April. Regarding its IPO plans, Bloomberg reported in March that MoonDark is preparing for a listing in Hong Kong, though the process remains in early stages. The funding and IPO pace for leading Chinese AI firms has accelerated notably in 2026, mirroring global trends where companies like OpenAI and Anthropic are also setting new fundraising and valuation records. Securing substantial capital is becoming a critical factor in the competitive landscape alongside model capabilities.

marsbit06/08 07:45

Valuation Surpasses 200 Billion, Kimi Reportedly Raises 13.6 Billion More, Speeds Up Hong Kong IPO

marsbit06/08 07:45

Farewell to Traditional Bull and Bear Markets, Deciphering the Logic of Today's Bubble Rotation

"Farewell to Traditional Bulls and Bears: Understanding Today's Market Logic of Bubble Rotation" The article draws a parallel between modern financial markets and a meteorological chain of thunderstorms, contrasting it with the past's slower-moving, more predictable 'layered cloud' systems of long bull/bear cycles and gradual sector rotations. The author argues that today's market has undergone a permanent structural shift, creating an environment where discrete, intense thematic bubbles (e.g., AI, GLP-1 drugs, crypto, robotics, quantum tech) sequentially form, swell, and burst. These 'storm cells' are triggered when capital fleeing a dying bubble acts like a meteorological 'cold air wedge,' forcing the warm, moist capital of latent interest in a new sector to rapidly rise and condense into the next speculative frenzy. This new 'convective' market regime is driven by eight fundamental changes: 1. Democratization of speculation via zero-commission trading, gamified apps, and heavy retail participation in instruments like 0DTE options. 2. Permanent, price-insensitive buying pressure from defined-contribution retirement plans (e.g., 401(k)s). 3. Passive investing creating inelastic market participants that amplify momentum, especially into mega-cap stocks. 4. The dominance of multi-strategy funds and high-frequency trading (HFT), weakening price discovery and creating fragile microstructure prone to synchronized sell-offs. 5. Artificially suppressed volatility that eventually erupts in violent spikes. 6. A transformed market index heavily weighted toward long-duration, narrative-driven tech companies instead of stable, cyclical industrials. 7. The total elimination of information delay, accelerating fear-of-missing-out (FOMO) and herd behavior. 8. A persistently loose fiscal and monetary policy environment. These structural shifts are deemed irreversible. The article outlines the common lifecycle of these thematic bubbles: latency, catalyzing event, narrative formation, peak divergence, and rupture—with outflowing capital seeding the next bubble. In this environment, two investor archetypes can thrive: deep domain experts who understand underlying technologies and business models, and disciplined trend-followers. The author concludes that while emotionally challenging, recognizing this new "climate" is crucial. The key is to elevate one's perspective above the immediate storm to see the cyclical chain of bubbles, avoiding being swept away by the emotions of any single thematic frenzy.

Foresight News06/08 07:05

Farewell to Traditional Bull and Bear Markets, Deciphering the Logic of Today's Bubble Rotation

Foresight News06/08 07:05

Tech Stocks in the Midst of Deleveraging: Rather Than Rushing to Buy the Dip, Wait for the Macro Environment to Stabilize First

"Technology Stocks in Deleveraging Phase: Wait for Macro Stability Before Buying the Dip" The current sell-off in tech/AI stocks is primarily driven by macro headwinds, not a breakdown in AI fundamentals. After a parabolic rise, the market faced a perfect storm: an overcrowded trade, a massive SpaceX IPO draining liquidity, pre-CPI/PPI/FOMC hedging, and strong jobs data renewing "higher-for-longer" rate fears. This triggered a concentrated deleveraging in hot tech names. Key historical context: Unlike the December 2023 sell-off focused on AI capex returns, the current correction centers on the "denominator" – rising concerns over rates, inflation, the Fed, geopolitics, and liquidity. Leading memory stocks like Micron have seen ~20% pullbacks, significant but not yet at panic levels seen in March. The intense selling wave may be largely over, but a quick V-shaped recovery is unlikely. The market will likely churn in high volatility, awaiting clarity. The immediate catalyst needed for a sustainable reversal is a "stop-bleeding" signal from macro conditions. This doesn't require a major positive shock (like the April Iran ceasefire), but simply a halt to further deterioration: CPI not surprising hotter, Treasury yields stabilizing, the Fed not turning more hawkish, and post-SpaceX IPO liquidity easing. Once macro pressure plateaus, the intact AI investment thesis – centered on persistent compute/memory shortages and accelerating commercialization – can quickly regain market focus. The strategy is clear: prioritize monitoring macro stabilization over rushing to bottom-fish individual AI stories. Patience is key.

marsbit06/08 05:07

Tech Stocks in the Midst of Deleveraging: Rather Than Rushing to Buy the Dip, Wait for the Macro Environment to Stabilize First

marsbit06/08 05:07

South Korean Stocks Plunge, Global Funds Liquidate: Has the Semiconductor Fundamentals Really Changed?

South Korean stocks experienced their sharpest decline of the year, with the KOSPI index plunging nearly 9% on Monday, triggering a market circuit breaker. Leading semiconductor firms Samsung Electronics and SK Hynix were heavily sold off, raising questions about whether the AI-driven bull market has reached an inflection point. This sell-off was largely triggered by a significant drop in the U.S. semiconductor sector late last week. Concurrently, NVIDIA CEO Jensen Huang visited Seoul over the weekend, meeting with top executives from SK Group, Samsung, LG, and NAVER. He announced a new multi-year partnership with SK Hynix to co-develop next-generation memory products for AI data centers. Huang emphasized that AI infrastructure build-out remains in its early stages, creating a stark contrast between market panic and ongoing, strengthened industry collaboration. The article argues that South Korea has become one of the most sensitive markets for global AI-related capital flows, functioning like a large AI memory ETF due to the heavy weighting of its chipmakers. The current market turmoil reflects a shift in investor focus: from simply betting on overall AI growth to scrutinizing which companies will actually capture the profits from that growth. This "profit pool reassessment" phase is causing high volatility based on supply chain news and earnings guidance. Ultimately, the direction of the Korean market will be determined by external factors—NVIDIA's orders, HBM supply-demand dynamics, and capital expenditures from cloud service providers—rather than domestic conditions. The disconnect between sharp price corrections and continued strong signals from the industry core leaves the market at a crossroads, awaiting clearer data on the durability of AI infrastructure demand.

marsbit06/08 04:29

South Korean Stocks Plunge, Global Funds Liquidate: Has the Semiconductor Fundamentals Really Changed?

marsbit06/08 04:29

JP Morgan Mid-Year Research Report Analysis: The AI Supercycle is Not Over, Reduce Cash Holdings + Allocate to Real Assets

JP Morgan's 2026 Mid-Year Outlook argues the AI supercycle is far from over, despite market pessimism. The report advises clients to reduce cash holdings, increase allocations to real assets as an inflation hedge, and focus on emerging markets. Key conclusions include: 1. **AI Supercycle Intact**: Hyperscalers' 2026 capex forecasts exceed $650B, with AI contributing to GDP growth. However, their financial profile is shifting toward heavy investment, compressing free cash flow. 2. **SaaS Disruption**: Traditional software companies are being negatively impacted by AI, with significant stock declines and pressure in credit markets. 3. **Persistent Inflation**: Core inflation is structurally higher post-pandemic. Holding excess cash and bonds leads to real wealth erosion. Recommendations include commodities, infrastructure, real estate, and gold. 4. **Geopolitical Shocks & Opportunities**: The Hormuz Strait blockade caused a major oil shock, but JP Morgan views the subsequent equity market pullback as a buying opportunity. "Fragmentation" is creating pockets of value, notably in resource-rich Latin America, AI-supply-chain-linked East Asia, and deeply discounted Chinese equities, where a policy shift could trigger a re-rating. 5. **Regional Views**: The firm is cautious on Europe due to high energy costs and lower innovation investment, preferring US and select EM exposures. In short, JP Morgan sees market volatility as an entry point but recommends a portfolio pivot: favor AI infrastructure, real assets, and EM, while avoiding excess cash, vulnerable software firms, and traditional 60/40 stock-bond allocations.

marsbit06/08 03:59

JP Morgan Mid-Year Research Report Analysis: The AI Supercycle is Not Over, Reduce Cash Holdings + Allocate to Real Assets

marsbit06/08 03:59

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