The Altcoin Vector #51

insights.glassnodeОпубліковано о 2026-04-22Востаннє оновлено о 2026-04-22

Анотація

The Altcoin Vector #51 provides an executive summary for its content. The article is accessible to subscribers, who are prompted to log in to view the full issue.

Executive Summary

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QWhat is the title of the newsletter issue discussed in the article?

AThe title is The Altcoin Vector #51.

QWhat is the primary section of the article that is provided?

AThe primary section is the 'Executive Summary'.

QWhat call-to-action is presented to existing subscribers in the content?

AExisting subscribers are prompted to 'Log in'.

QWhat type of content does the <aside> tag with the class 'post-upgrade-cta' contain?

AIt contains a call-to-action for subscribers, asking them to log in.

QIs the full body of the article's main content provided in the text?

ANo, only the beginning of the article, including the Executive Summary and a subscriber call-to-action, is provided.

Пов'язані матеріали

Feishu Has Become Doubao

This may be the most important day in the ten-year history of Feishu. On July 30, ByteDance announced a major restructuring via internal email. Feishu, an independent operation for a decade, will no longer function separately and will lose its independent sales and marketing teams. Its product team is being integrated into Doubao AI, and its Go-to-Market strategy merges into the Volcano Engine's To B system. This move signals a strategic pivot, not a failure of Feishu. The era where Feishu sought to be an all-encompassing super-app for productivity is ending. AI has become the dominant logic. Industry trends show a shift from building platform "entrances" to embedding AI directly into workflows, as seen with Microsoft Copilot and Google's Gemini. Data reveals the driver: over 90% of Feishu's new clients in Q2 2026 purchased its AI products. Enterprises are now buying integrated AI solutions, not standalone software. By integrating Feishu's deep enterprise workflow scenarios, Doubao evolves from a consumer-facing chatbot into a powerful enterprise productivity engine. This gives Doubao a critical asset: real-world business application. Concurrently, ByteDance established the "Creative Services Platform," unifying its previously fragmented sales fronts (Feishu, Doubao, Volcano Engine) into a single customer-facing entity. This represents ByteDance's first genuine shift to thinking like a true To B company, organizing around client needs rather than internal product silos. The restructuring underscores that AI is no longer just a business line but foundational infrastructure. Doubao is becoming the new organizational core, mirroring TikTok's past ascendancy. This demonstrates a profound shift: AI is beginning to reshape corporate structures, determining resource allocation and strategic priorities. ByteDance is likely just the first of many companies to undergo such an AI-driven reorganization.

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Feishu Has Become Doubao

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The Second Half of the RWA Issuance Race: Amidst the Utilization Dilemma, Trillions Worth of On-Chain Assets Awaken

RWA (Real-World Asset) tokenization has surged to a record $32 billion in on-chain value. However, a structural challenge has emerged: approximately 87% of these tokenized assets are inactive, not participating in DeFi lending or trading activities. This "utilization gap" highlights a key question: what happens after assets are brought on-chain? Data shows a stark contrast among major platforms. While Securitize leads in scale ($4.9B), it has a DeFi utilization rate of only 0.7%. Similarly, Ondo Finance ($3.5B) sees about 2.7% utilization. In contrast, Maple Finance, with a smaller $2.3B in assets, achieves a 62% utilization rate by embedding its assets directly into lending activities from the outset. Three primary factors contribute to low utilization: 1) **Asset Nature**: Tokenized treasuries are often held for yield, not traded. 2) **Regulatory Barriers**: Securities laws and KYC requirements restrict free movement into permissionless DeFi pools. 3) **Infrastructure Gaps**: A lack of deep secondary markets, real-time pricing, and mature clearing mechanisms hinders liquidity. The RWA narrative is now shifting from a "race to issue" to a "battle for application." While native lending protocols like Maple have inherent advantages, distribution channels are becoming critical. The success of products like SyrupUSDG on platforms like Robinhood Crypto demonstrates that access to existing user bases can accelerate adoption far more effectively than protocol-led efforts alone. The $32 billion milestone validates the feasibility of tokenization, but low utilization underscores that bringing assets on-chain is just the first step. The true test for the sector is enabling these assets to circulate, be utilized, and create new economic value within the DeFi ecosystem.

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The Second Half of the RWA Issuance Race: Amidst the Utilization Dilemma, Trillions Worth of On-Chain Assets Awaken

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SemiAnalysis on the Epic Plunge: It's Not Over Yet

SemiAnalysis Weekly discusses the recent sharp correction in the semiconductor market after a historic first half. Analysts Doug O'Loughlin and Dylan note that despite healthy fundamentals, markets like South Korea's KOSPI have plunged 40%, wiping out leveraged retail investors. A core debate focuses on AI demand versus supply constraints. Dylan cites SemiAnalysis's internal use of AI coding agents, leading to a 100x increase in AI spending, as evidence of powerful demand. Doug agrees demand is strong but questions its exact magnitude, calling it a "trillion-dollar question." His primary concern is physical and financial bottlenecks: a shortage of 100,000 electricians in the US, massive $450B in corporate debt issuance by hyperscalers (funded by a shrinking pension pool), and labor/scale limits in regions like Taiwan, where TSMC constitutes 20% of GDP. The conversation covers market dynamics, including the typical semiconductor cycle where over-ordering leads to crashes, China's growing memory capacity, and the potential for older chips like the H100 to lose value as models scale. Politically, AI is seen as a likely scapegoat in upcoming elections, though not a top-tier voter priority. The analysts conclude that while the long-term potential is significant, the scaling path is narrowing. The challenge is matching exponential compute demands with real-world constraints on capital, labor, and permits, risking scenarios where massive investment outpaces near-term revenue generation.

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SemiAnalysis on the Epic Plunge: It's Not Over Yet

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