Can XRP Catch Up To SWIFT? This Latest ISO Is Changing The Game

bitcoinist2026-05-12 tarihinde yayınlandı2026-05-12 tarihinde güncellendi

Özet

A crypto analyst argues that SWIFT's upcoming global shift to the ISO 20022 messaging standard by November 2026 will force a major overhaul of the legacy banking system, potentially benefiting XRP. The analyst, Cheeky Crypto, explains that SWIFT will phase out unstructured messaging, compelling banks to adopt structured, blockchain-backed solutions. He suggests institutions, lacking time and resources to build their own compliant systems, are increasingly turning to existing, regulator-approved bridges like XRP to ensure liquidity. He notes rising institutional interest in XRP-based products and highlights the XRP Ledger's advantages—settling transactions in seconds for minimal cost compared to the days and high fees of traditional cross-border transfers. Ripple's Executive Chairman is cited, stating the 2026 mandate will "wash away" non-compliant, legacy foundations.

A crypto analyst has said that the global banking system is about to be forcibly changed, as a new SWIFT mandate sets a critical deadline that could change XRP and Ripple forever. ISO 20022 is SWIFT’s new global messaging standard for cross-border payments, and the change is set to take full effect in November 2026. The analyst said that SWIFT will shut down the older unstructured messaging, forcing every major bank onto a new system. He also suggests this could have major implications for XRP, as it aims to serve as a global bridge asset for cross-border transfers.

SWIFT’s ISO 20022 To Overhaul Unstructured Messaging

In a YouTube video released on May 10, a market analyst known as Cheeky Crypto said that SWIFT is about to bring “the death of legacy banking data.” He noted that the new ISO 20022 mandate will remove unstructured addresses within the SWIFT network by November 2026. According to him, if banks fail to comply with these new standards, their transactions will not be cleared or processed.

Cheeky Crypto explained that over the past few decades, traditional banks have consistently relied on messy manual data-entry systems, which often lead to failed or delayed transactions. However, SWIFT is ending this era and introducing new solutions backed by structured data that run on blockchain technology.

Notably, Cheeky Crypto said he spent the last few days researching XRP’s role within this upcoming global money shift. He noted that as legacy systems prepare for a major change, institutions are being backed into a corner because they do not have the time or money to build compliant systems of their own. Because of this, he said banks are now looking for existing bridges like XRP that are already cleared by regulators. He noted that trillions of dollars from these institutions are set to move into blockchain-ready solutions like XRP, to ensure global liquidity continues to flow effectively.

According to the analyst, institutional inflows into XRP-based products are already rising significantly ahead of the November deadline. He said the move is primarily driven by corporate entities desperate to remain operational before SWIFT shuts the door on its old unstructured messaging standards.

He also cited a statement by Ripple’s Executive Chairman, Chris Larsen, who said that legacy banking systems are built on weak foundations. Larsen noted that the upcoming “2026 mandate is the tide coming to wash away anything that isn’t structured, verified, and compliant.”

XRP Ledger Presented As Better Alternative For Banks

In his video, Cheeky Crypto also stated that banks are now showing strong interest in the XRP Ledger as legacy systems break down and they build stronger ones. The analyst noted that XRP is built to handle the exact type of structured data SWIFT is trying to build instantly.

To back this up, Cheeky Crypto has compared the average transaction time and cost of legacy cross-border transfers with those of the XRP Ledger settlement. He says that legacy systems tend to take 3-5 days and cost a fortune in hidden fees. Meanwhile, the Ledger settles a transaction in roughly 3-5 seconds for a fraction of a penny.

XRP trading at $1.46 on the 1D chart | Source: XRPUSDT on Tradingview.com

İlgili Sorular

QWhat is the ISO 20022 mandate and what is its key deadline according to the article?

AISO 20022 is SWIFT's new global messaging standard for cross-border payments, and the key deadline for it to fully take effect is November 2026.

QWhat major change does SWIFT's ISO 20022 mandate bring to the global banking system, according to the analyst Cheeky Crypto?

AThe ISO 20022 mandate will remove unstructured messaging and addresses within the SWIFT network, forcing every major bank onto the new structured data system and effectively ending the era of messy manual data-entry.

QWhy are banks increasingly looking towards solutions like XRP according to the article?

ABanks are looking towards existing, regulator-cleared bridges like XRP because they lack the time and money to build their own compliant systems from scratch for the upcoming SWIFT changes, and they need to ensure global liquidity continues to flow effectively.

QHow does the XRP Ledger's transaction performance compare to legacy cross-border transfer systems as stated in the article?

ALegacy cross-border transfers typically take 3-5 days with high hidden fees, while the XRP Ledger settles a transaction in roughly 3-5 seconds for a fraction of a penny.

QWhat did Ripple's Executive Chairman, Chris Larsen, say about the upcoming 2026 mandate?

AChris Larsen stated that the upcoming 2026 mandate 'is the tide coming to wash away anything that isn’t structured, verified, and compliant,' implying that legacy banking systems built on weak foundations will be forced to change.

İlgili Okumalar

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

Anthropomorphic "Teletubby" robot offers cleaning services in San Francisco at $30/hour, but it's entirely remote-controlled. The robot, created by startup Tau Robotics, can perform household tasks like washing hands, mopping floors, and taking out trash. While the initial demo videos appear impressive and are notably shown at normal speed (unlike many sped-up robot demos), the company reveals the actions are performed via human teleoperation, not autonomous AI. Tau Robotics, founded in 2024, argues this "cheat" is a strategic way to bridge the current capability gap, ensure task completion, and collect real-world home data to eventually train autonomous systems. Their service features three robot models: Chelsea for kitchens/bathrooms, Elon for regular tidying with memory, and Tony for deep cleaning. Priced at $30 per hour, it's cheaper than average human cleaners in the US. The article discusses the broader challenge of deploying humanoid robots in homes, comparing Tau's approach to others like China's Ziliang and the US's 1X Neo, which also use teleoperation. A key reason for choosing a humanoid form is to make remote control more intuitive for human operators. The piece also notes the potential "emotional value" of having a humanoid servant. The service is currently invite-only in San Francisco.

marsbit9 dk önce

"Teletubbies" Robot Cleaning Service, $30/Hour, Pure·Manual·Intelligence

marsbit9 dk önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit53 dk önce

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit53 dk önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit57 dk önce

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit57 dk önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit57 dk önce

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit57 dk önce

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

A Coldcard hardware wallet exploit led to estimated losses of 1,367 BTC ($88.6 million), causing a spike in small Bitcoin transfers as users moved funds to centralized exchanges and other custody methods. In U.S. politics, the Clarity Act faces hurdles with time running out for a Senate vote, amid debates over ethics rules and crypto regulation. Major crypto firms like Coinbase reported disappointing Q2 earnings, while an analyst notes the industry is entering a significant consolidation phase, with revenue concentrating in a few dominant protocols like Hyperliquid and Pump.fun. Bitcoin's price decline continued, though some analysts suggest the market may have bottomed. Other news includes Telegram's legal troubles in Russia and Australia, layoffs at Pump.fun ahead of token distributions, and a White House staffer accused of insider betting leaving his post.

cointelegraph1 saat önce

Coldcard exploit sparks Bitcoin flight, ‘bullish’ crypto consolidation: Hodler’s Digest, August 2

cointelegraph1 saat önce

İşlemler

Spot