Expert Claims Ripple Is Next to Secure Fed Master Account After Kraken Win— Here’s Why

bitcoinistОпубліковано о 2026-03-05Востаннє оновлено о 2026-03-05

Анотація

Expert Paul Barron suggests Ripple could be the next crypto firm to secure a Federal Reserve master account, following Kraken's landmark approval. This access would integrate Ripple directly into the Fed's core payment infrastructure, like major traditional banks. Barron highlights Ripple's National Trust Bank charter as a key step toward this goal, which would be crucial for scaling its dollar-pegged stablecoin, RLUSD. He also notes growing regulatory momentum, such as the CLARITY Act, may pressure the Fed to further integrate qualified crypto institutions. Ripple's executives have previously expressed interest in this strategic access.

The crypto industry took a significant step deeper into the traditional financial system on Wednesday after Kraken Financial, a Wyoming-chartered digital asset bank, was granted a Federal Reserve (Fed) master account. According to one expert, Ripple may follow suit.

The approval makes Kraken Financial the first crypto-focused bank in US history to gain direct access to the Federal Reserve’s payment infrastructure, a development many see as a landmark moment for the sector.

Crypto Enters Fed’s Core System

The announcement signals a structural shift in how crypto-native institutions interact with the US banking system. With a master account, Kraken Financial can connect directly to the Fed’s payment rails rather than relying on intermediary banks to process transactions. Arjun Sethi, Co-CEO of Payward and Kraken, said:

This milestone marks the convergence of crypto infrastructure and sovereign financial rails. With a Federal Reserve master account, we can operate not as a peripheral participant in the US banking system, but as a directly connected financial institution.

The decision immediately sparked discussion about which crypto firms might follow. Market expert Paul Barron argued on social media platform X that Kraken’s approval has effectively “bridged a gap” between crypto companies and the traditional banking establishment.

By securing a Federal Reserve master account, Barron noted, Kraken is no longer operating on the outskirts of the system but instead sits on the same Fedwire infrastructure used by major financial institutions such as JPMorgan and Goldman Sachs. “This is BIG!” he wrote.

Barron went further, suggesting that Ripple could be next in line. He pointed to Ripple’s National Trust Bank charter, granted in December 2025, as a foundational step toward eventual Federal Reserve access.

Final Step For Ripple’s RLUSD Expansion

In Barron’s view, direct access to a master account would be the final component needed for Ripple’s dollar-pegged stablecoin, RLUSD, to settle transactions at full banking scale.

Barron also referenced growing legislative momentum around the CLARITY Act, arguing that regulatory developments in Washington may be increasing pressure on the Federal Reserve to integrate qualified crypto institutions more fully into the financial system.

Ripple executives have previously acknowledged the strategic value of direct Federal Reserve access. In November 2025, Stuart Alderoty, Ripple’s CLO, described the concept as “an attractive idea” in an interview with Reuters.

Yet, Ripple is not alone in seeking this level of integration. Other crypto-focused institutions, including federally chartered Anchorage Digital, have also applied for Federal Reserve master accounts but have not yet received approval.

The daily chart shows XRP’s Wednesday recovery beyond $1.40. Source: XRPUSDT on TradingView.com

As of this writing, XRP was trading at $1.45, up 6% amid a wider crypto market recovery that began early on Wednesday with Bitcoin’s (BTC) lead.

Featured image from OpenArt, chart from TradingView.com

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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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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

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