Ripple Study Reveals How Financial World Leaders Are Looking At The Market

bitcoinistPublicado a 2026-03-21Actualizado a 2026-03-21

Resumen

Ripple's survey of over 1,000 financial leaders reveals a strong consensus that adopting crypto is essential for competitiveness, with 72% stating companies must offer crypto solutions. Key findings include high optimism for stablecoins, with 74% viewing them as tools for improving cash flow and treasury management. Fintechs lead in crypto adoption, while corporates and banks are increasingly seeking partners for solutions like tokenization, where 89% of banks prioritize crypto and custody services. The report underscores a demand for comprehensive crypto tech stacks and trusted providers. This comes as the SEC's recent taxonomy classified XRP as a digital commodity, not a security, supporting Ripple's position in its legal battle.

Ripple has released a crypto survey that sought the opinions of over 1,000 financial world leaders on their crypto market outlook. Notably, most of these leaders suggested that institutions must look to embrace crypto or risk losing their competitiveness in the market.

Ripple Study Shows Finance Leaders View Crypto as Now Important

Ripple noted that in its survey report, that 72% of respondents believe that companies must offer a crypto solution to remain competitive. Furthermore, these finance leaders revealed similar industry consensus on stablecoins, tokenization, and partner considerations. The crypto firm stated that stablecoins are among the use cases financial leaders are most bullish on.

74% of these financial leaders said that stablecoins can boost cash-flow efficiency and unlock trapped working capital. Additionally, these respondents view stablecoins as tools for treasury management. Meanwhile, the Ripple survey revealed that fintechs have demonstrated crypto leadership among the companies that were surveyed.

More fintechs, 47% of them, than corporates, 14% of them, are also working towards building their own solutions. However, a positive is that 74% of corporates plan to work with partners that offer desired solutions. Meanwhile, banks are also showing interest in tokenizing financial assets as they seek partners to help execute their strategies.

89% of these banks evaluating tokenization partners say crypto and custody are top priorities. Ripple said the key takeaway from the survey is that finance leaders want more from crypto firms offering the solutions they desire. Basically, they want a tech stack that can meet all crypto needs and a “trusted provider to partner with now and in the future as strategies evolve.”

This survey comes as Ripple looks to be the go-to infrastructure for these institutions. The firm currently offers a range of crypto services, including payments, custody, and trading, to institutional investors. The firm has also notably partnered with several TradFi giants to tokenize their real-world assets on the XRP Ledger (XRPL).

Another Major Development For Ripple

Ripple’s survey comes just as the SEC released a token taxonomy that confirmed XRP is a digital commodity, not a security. This vindicates Ripple in its legal fight against the SEC under Gary Gensler, when they claimed that XRP was a security. Meanwhile, crypto pundit SMQKE highlighted arguments from legal experts about why the SEC was wrong to have ever labeled XRP a security.

The argument was that investors do not receive any contract when they buy XRP, especially from exchanges. A contract is considered a key factor under the Howey test in determining what constitutes a security. However, the SEC has noted that a non-security like XRP could become a security if it is used as the basis of an investment contract in which investors expect to make gains from the efforts of others.

XRP trading at $1.44 on the 1D chart | Source: XRPUSDT on Tradingview.com

Preguntas relacionadas

QWhat percentage of financial leaders believe companies must offer a crypto solution to remain competitive, according to Ripple's survey?

A72% of financial leaders believe companies must offer a crypto solution to remain competitive.

QWhat are the two main benefits that 74% of financial leaders associate with stablecoins?

A74% of financial leaders said stablecoins can boost cash-flow efficiency and unlock trapped working capital.

QAccording to the survey, what do banks evaluating tokenization partners consider as top priorities?

A89% of banks evaluating tokenization partners say crypto and custody are top priorities.

QWhat key development from the SEC is mentioned in relation to XRP's status?

AThe SEC released a token taxonomy that confirmed XRP is a digital commodity, not a security.

QWhat is the main argument presented by legal experts against the SEC's initial labeling of XRP as a security?

AThe argument was that investors do not receive any contract when they buy XRP, especially from exchanges, and a contract is a key factor under the Howey test.

Lecturas Relacionadas

"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.

marsbitHace 8 min(s)

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

marsbitHace 8 min(s)

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.

marsbitHace 51 min(s)

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

marsbitHace 51 min(s)

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.

marsbitHace 56 min(s)

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

marsbitHace 56 min(s)

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.

marsbitHace 56 min(s)

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

marsbitHace 56 min(s)

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.

cointelegraphHace 1 hora(s)

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

cointelegraphHace 1 hora(s)

Trading

Spot