Could XRP Surge? Experts Break Down How a Supply Shock Might Fuel a Rally

TheNewsCryptoPubblicato 2025-12-12Pubblicato ultima volta 2025-12-12

Introduzione

The article discusses the concept of an XRP supply shock, with analysts Phil Kwok and Pumpius explaining the mechanics behind it. They argue that a genuine supply shock occurs when XRP is removed from the open market through various channels. DeFi is highlighted as a primary driver, as protocols lock tokens in liquidity pools, lending markets, and staking mechanisms, reducing the liquid supply available for trading. Additionally, spot ETFs contribute by purchasing and holding XRP directly, with recent inflows removing nearly 500 million tokens from circulation. Institutional holders like banks and custodians also reduce supply by holding XRP for long-term use rather than active trading. The analysts suggest that if this absorption outpaces new supply, it could create structural pressure and potentially lead to a price rally.

The concept of an XRP supply shock has generated discussion recently, but two analysts state that most investors misunderstand the actual mechanics. EasyA co-founder Phil Kwok and veteran Bitcoin investor Pumpius outlined how supply shocks develop and why current price stability may mask underlying structural pressure.

Kwok argues that genuine supply shock begins when XRP exits the open market through various channels. Decentralized finance will serve as one of the primary drivers of this process, according to his analysis. DeFi protocols lock tokens into systems where they cannot easily return to exchange order books.

DeFi Systems Remove Tokens From Trading Pool

Liquidity pools, lending markets, collateral systems and staking mechanisms gradually absorb tokens, reducing liquid supply available to traders. Kwok stated that DeFi layers on XRPL matter because these ecosystems create an early structural squeeze on circulating supply as they expand.

Pumpius outlined several mechanisms that remove XRP from circulation. Spot ETFs must purchase actual tokens rather than futures or synthetic exposure, meaning issuers buy directly from markets and pull liquid supply off exchanges. As these products attract inflows, they steadily drain available inventory.

XRP ETFs have purchased approximately $906 million worth of tokens following inflows exceeding $850 million recently. This equals nearly 500 million XRP removed from public supply through ETF products. For a supply shock to materialize, this absorption must occur faster than new tokens can replace withdrawn inventory.

Banks, asset managers, settlement providers and custodians generally do not actively trade their XRP holdings. These entities hold tokens for payment rails, corporate settlement flows, or long-term treasury positioning. Once institutions custody XRP, these tokens exit the circulating pool and sit in cold storage or operational accounts rather than on exchanges.

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From Theft to Re-entry: How Was $292 Million "Laundered"?

A sophisticated crypto laundering operation was executed following the $292 million hack of Kelp DAO on April 18. The attack, attributed to the North Korean Lazarus group, began with anonymous infrastructure preparation using Tornado Cash to fund wallets untraceably. The hacker exploited a vulnerability in Kelp’s cross-chain bridge, stealing 116,500 rsETH. To avoid crashing the market, the attacker used Aave and Compound as laundering tools—depositing the stolen rsETH as collateral to borrow $190 million in clean, liquid ETH. This move triggered a bank run on Aave, causing an $8 billion drop in TVL. After consolidating funds, the attacker fragmented them across hundreds of wallets to evade detection. A major breakpoint was THORChain, where over $460 million in volume—30 times its usual activity—was processed in 24 hours, converting ETH into Bitcoin. This shift to Bitcoin’s UTXO model exponentially increased tracing complexity by shattering funds into countless untraceable fragments. The final destination was Tron-based USDT, the primary channel for illicit crypto flows. From there, funds were cashed out via OTC brokers in China and Southeast Asia, using unlicensed underground banks and UnionPay networks outside Western sanctions scope. Ultimately, the laundered money supports North Korea’s weapons programs, which rely heavily on crypto hacking for foreign currency. The incident underscores structural challenges in DeFi: its openness, composability, and lack of central control make such laundering not just possible, but inherently difficult to prevent.

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From Theft to Re-entry: How Was $292 Million "Laundered"?

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Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

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Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

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