# Сопутствующие статьи по теме Valuation

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

When Google Also 'Prints Stocks' to Build AI, Whose Narrative is Shattering the High Valuations of Neocloud?

Google has announced its first equity financing since 2005, a series of moves totaling $80 billion that signal a strategic challenge to Nvidia's GPU dominance in the AI compute market. This impacts "Neocloud" companies like CoreWeave, Nebius, and IREN, whose valuations are heavily tied to Nvidia's perceived uniqueness. Google's three-part strategy involves: launching new TPU chips (TPU 8t/8i) and selling them to third parties for the first time; forming a $25 billion compute-as-a-service joint venture with Blackstone; and raising ~$50 billion in new equity (part of an $80B package) to fund AI infrastructure, underscoring the massive capital demands even for tech giants. This marks a divergence from Microsoft's path. Microsoft, lacking a mature in-house AI chip, relies heavily on outsourcing to Neocloud providers using Nvidia GPUs. Google, with its proprietary TPU, is pursuing vertical integration—building its own data centers, selling chips, and competing directly with Neocloud services. While Neocloud firms have strong near-term revenue from locked-in Nvidia GPU contracts (e.g., CoreWeave's ~$100B backlog), Google's moves undermine their long-term valuation narrative based on Nvidia's sole supremacy and perpetual supply shortage. TPU performance claims and adoption by firms like Anthropic add credibility to Google's alternative. The AI compute market is transitioning from a uniform seller's market to a layered one: top AI labs are diversifying their hardware stacks; hyperscalers are pursuing different chip strategies; and financing costs will become a critical differentiator, favoring players like Google with lower capital costs. Key metrics to watch include the progress of the Google-Blackstone JV, expansion of the TPU customer base beyond Anthropic, and potential shifts in Microsoft's sourcing strategy. If Google succeeds on these fronts, the Neocloud investment thesis will require significant reassessment.

marsbit20 ч. назад

When Google Also 'Prints Stocks' to Build AI, Whose Narrative is Shattering the High Valuations of Neocloud?

marsbit20 ч. назад

Optical Modules Soar, Why Is NOK the Second Leader After MRVL?

Nokia's stock has surged nearly 170% to around $16.8 since Nvidia's $1 billion investment and AI-RAN partnership in October 2025, reflecting a market re-rating from a cyclical telecom equipment provider to an AI infrastructure player. This rise, adding roughly $60 billion in market cap, is driven by AI capex expansion into telecom edge, RAN, and optical networks. The company's Q1 2026 results showed strong momentum, with AI & Cloud net sales up 49% and 10 billion euros in new orders, prompting Nokia to raise its AI & Cloud market growth forecast to a 27% CAGR (2025-2028). Optical network growth of 20% further strengthens its position in connecting AI data centers. Recent tests with operators like T-Mobile and the opening of an AI Networking Innovation Lab demonstrate progress from concept to early commercial deployment. Nokia's strategy integrates Nvidia GPUs into its network hardware, enabling concurrent AI processing and RAN tasks for real-time optimization and new edge services. However, with a trailing P/E nearing 100x and consensus price targets lagging the current stock price, significant future growth is already priced in. The key constraint now is the pace and scale of large-scale operator deployments. While execution signals remain positive and the company's position in AI edge infrastructure is established, high valuation leaves limited room for error, making tangible commercial contracts the critical factor for further stock performance.

marsbit22 ч. назад

Optical Modules Soar, Why Is NOK the Second Leader After MRVL?

marsbit22 ч. назад

Pantera Partner: In the Age of Agents, Blockchain is the Inevitable Answer for AI

Summary: AI and blockchain are converging around four key pillars: payment settlement, identity systems, open systems, and resource aggregation, with commercial projects already emerging in each area. The two technologies are fundamentally complementary: AI enables infinite supply (content, agents), while blockchain establishes scarcity and verifiable ownership. AI agents generate content and services, and blockchain handles the verification and value settlement. A significant valuation mismatch exists, with leading AI companies historically overvalued compared to crypto assets, despite their deep underlying integration. The emergence of autonomous AI agents—which require assets, value transfer, and large-scale coordination—creates a need for a non-human-centric financial infrastructure. Blockchain, with its programmability, 24/7 access, and low-trust settlement, is the only suitable foundation. AI agents will not use traditional bank accounts or payment rails; they will transact using stablecoins and on-chain systems. Examples include OpenFX, which settles hundreds of billions in forex trades on-chain for AI agents, and Alchemy, a core development platform. For human identity verification in an age of AI-generated content, projects like World (Worldcoin) use blockchain-based biometric verification, while TransCrypts focuses on self-sovereign identity and verifiable credentials. The current divergence presents a unique investment opportunity. AI valuations are highly elevated, while crypto assets trade at a significant discount, even though the future smart agent economy will be built on blockchain infrastructure. The fusion of AI and blockchain is not a future trend but an ongoing reality, creating a prime environment for entrepreneurs in areas like agent-native finance, decentralized identity, and on-chain AI coordination.

marsbitВчера 13:12

Pantera Partner: In the Age of Agents, Blockchain is the Inevitable Answer for AI

marsbitВчера 13:12

API Stories Can't Support Valuations, AI Giants Start Offering Consulting Services

The AI industry is shifting from simply selling APIs to providing intensive, on-site consulting services, as major players like OpenAI and Anthropic seek new revenue streams to justify high valuations. OpenAI has established "Deploy Co," raising over $40 billion from investors led by TPG at a $140 billion valuation. The deal has an unusual structure, guaranteeing investors a minimum 17.5% return with a profit cap, resembling debt more than equity. OpenAI also acquired the AI consulting firm Tomoro to gain over 150 "Frontline Deployment Engineers" (FDEs). Similarly, Anthropic formed a $15 billion joint venture with Blackstone, Hellman & Friedman, and Goldman Sachs with the same goal: embedding engineers within client companies. A key driver is Anthropic's rapid market share growth, now holding 40% of the enterprise LLM API market compared to OpenAI's 27%, which has put pressure on OpenAI to accelerate its enterprise strategy. Notably, major consulting firms Bain & Company, McKinsey & Company, and Capgemini are among the investors in OpenAI's venture, a move seen as either seeking deeper insight into AI or funding their potential future disintermediation. This pivot is creating a major shift in tech employment. Demand for FDEs—who integrate AI into client workflows on-site—has surged over 800% in the past year, with salaries reaching $350,000-$550,000. Meanwhile, demand for traditional software engineers has declined significantly. The trend marks a strategic inflection point: core AI models are becoming commoditized, while the complex, labor-intensive work of deployment is becoming the new high-value, capitalized service layer. The $55 billion in combined funding represents a bet that hands-on consulting, not just API access, is the future of enterprise AI monetization.

marsbitВчера 11:51

API Stories Can't Support Valuations, AI Giants Start Offering Consulting Services

marsbitВчера 11:51

Zhou Hang: How Much Is SpaceX Really Worth?

**Zhou Hang: How Much is SpaceX Really Worth?** SpaceX, arguably one of the greatest industrial companies of the past 50 years, is reportedly targeting a staggering $1.75 trillion valuation in its potential IPO. However, the author argues this figure is inflated by approximately $1.25 trillion when assessed through standard financial metrics. The analysis begins by acknowledging SpaceX's undeniable success: drastically reducing launch costs, achieving near-monopoly in commercial launches, and building the strategic Starlink network. Its achievement surpasses even Tesla's, given it disrupted a state-monopolized industry. Despite this greatness, a $1.75 trillion valuation places SpaceX above the combined market cap of Boeing, Lockheed Martin, Northrop Grumman, RTX, and General Dynamics. Projecting optimistic 2030 revenues of $50-80 billion and applying generous tech-sector multiples yields a "reasonable" valuation range of $500 billion to $1.2 trillion. The $1.25 trillion gap is attributed to three non-financial premiums: 1. **Long-term vision premium** for future Starship-enabled markets (e.g., space-based computing). 2. **Sovereign asset/strategic premium**, as SpaceX is deeply integrated into U.S. national security. 3. **Retail narrative/Musk cult premium**, driven by a heroic story and personal following. Post-IPO, three scenarios are outlined: valuation solidifying (25% probability), sideways volatility as narrative outpaces reality (50%), or a re-rating down to $800B-$1.2T if execution falters or Musk-related risks emerge (25%). The probability-weighted expected value is $1.3-1.5 trillion, suggesting negative expected returns for those buying at the IPO price. The conclusion advises investors to separate the company's excellence from its stock price. Buying at the IPO likely prices in excessive optimism. A more prudent strategy would be to wait for key milestones (e.g., Starship V3 stability) or a significant price correction before investing, or to treat an early purchase as a long-term, high-conviction hold with limited position size, not a short-term bet.

链捕手2 дня назад 02:12

Zhou Hang: How Much Is SpaceX Really Worth?

链捕手2 дня назад 02:12

I've Been a VC in Web3 for Nine Years: Asian Funds Are Experiencing "Hell Mode"

After nine years as a Web3 VC, the author observes a severe downturn in Asia's crypto venture capital scene, with many funds disappearing or pivoting away. The market has cooled dramatically since the 2021-2024 frenzy, leading to fewer deals and active investors. IOSG Ventures, a firm that has endured three market cycles, has adapted its strategy: shifting from 80-90% early-stage investments to a 50% early-stage, 30% post-TGE, and 20% OTC portfolio to find better value and liquidity. The current bear market is described as "hell mode" for Asian funds due to scarce LP capital, forcing extreme precision in targeting only top projects. The author argues the core industry problem has been the disconnect between tokens and real value, where tokens served as fundraising tools without granting holders rights to protocol revenue. A positive shift is emerging where projects like Uniswap and Morpho are programmatically binding token value to protocol profits. Investment focus has moved towards fundamentals: real-yield financial infrastructure (stablecoins, lending) and crypto-native AI infrastructure, while avoiding narrative-driven projects. The conclusion is that true, durable companies are born in pessimistic times when focus shifts to real user needs and sustainable business models. The industry's future will be shaped by those who remain after the泡沫 dissipates.

marsbit2 дня назад 03:41

I've Been a VC in Web3 for Nine Years: Asian Funds Are Experiencing "Hell Mode"

marsbit2 дня назад 03:41

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