Wall Street Bets Big on RWA: BlackRock, Franklin Templeton, Morgan Stanley Are Moving Financial Markets On-Chain

marsbitОпубліковано о 2026-05-14Востаннє оновлено о 2026-05-14

Анотація

Wall Street is fully embracing Real World Assets (RWA), with giants like BlackRock, Franklin Templeton, and JPMorgan Chase actively moving traditional financial markets onto the blockchain. The global RWA market has now surpassed $30 billion. BlackRock continues to expand its tokenization efforts, recently filing a new structure with the SEC that integrates blockchain-based fund shares directly into the regulated U.S. fund registry system, bridging the gap between on-chain and traditional finance. Its BUIDL fund, launched with Securitize, has grown to approximately $2.3 billion in assets. Franklin Templeton has partnered with Kraken's parent company to explore tokenizing traditional financial products, including stocks and yield-generating instruments. This shift highlights traditional finance's growing acceptance of blockchain as a core component of the future financial system, not just a niche market. JPMorgan Chase is advancing its on-chain dollar liquidity system by filing for a second tokenized money market fund (JLTXX) on Ethereum. This move aims to create a complete on-chain USD ecosystem where digital dollars can earn yield, moving beyond simple stablecoin payments. The trend signals a broader shift in crypto from speculative assets to building new financial infrastructure. RWA tokenization is enhancing efficiency through real-time settlement, transparency, and 24/7 global markets, positioning blockchain for a foundational role in the future of global finance.

Author: Climber, CryptoPulse Labs

In recent years, the crypto industry has experienced multiple waves of trends such as DeFi, NFTs, and Meme coins. However, what truly prompted Wall Street's large-scale entry was not the highly volatile crypto assets, but RWA (Real World Assets). Currently, the global RWA market size has exceeded $30 billion.

In recent days, traditional financial giants like BlackRock, Franklin Templeton, and JPMorgan Chase have made successive moves, ranging from tokenized funds and on-chain money market products to tokenized stocks and on-chain yield tools. Wall Street is gradually moving traditional financial markets onto the blockchain.

The true significance behind this is not merely about launching a few on-chain products; it more closely resembles a foundational structural upgrade of the global financial system.

I. BlackRock's Continued Expansion: On-Chain Funds Begin to Integrate with the Traditional Financial System

In this wave of tokenization, BlackRock's moves remain the most closely watched.

On May 12th, BlackRock once again filed a new application with the U.S. SEC for a tokenized fund structure, continuing to choose the digital asset platform Securitize to provide on-chain infrastructure support.

The most significant focus this time is not just putting a fund on-chain, but the formal integration of on-chain assets with the traditional financial regulatory system.

According to the latest structure, the ownership records of on-chain fund shares will be integrated with regulated transfer agent systems and investor admission frameworks.

This means that fund shares held by users on-chain in the future will no longer be just data on the blockchain but will be able to directly enter the U.S. regulated fund registration system.

In the past, many traditional institutions, while interested in blockchain, remained concerned about how on-chain assets could meet regulatory requirements. Now, BlackRock is attempting to directly incorporate on-chain assets into the traditional financial framework, indicating that the institutional wall between on-chain finance and traditional finance is being slowly dismantled.

In fact, BlackRock has long been laying the groundwork in the tokenization market.

As early as 2024, BlackRock's BUIDL fund, launched in partnership with Securitize, became one of the most successful tokenized product cases in the entire industry. Its asset size has now grown to approximately $2.3 billion and serves as an important symbol of institutional entry into on-chain finance.

Many used to think tokenization was just a repackaging. However, what Wall Street truly values is the financial efficiency brought by blockchain.

The traditional financial market involves numerous intermediaries, from banks and brokerages to clearing institutions, each layer representing time costs and fees. Blockchain's greatest advantage is its ability to enable real-time settlement, transparent record-keeping, and 24/7 circulation on a global scale.

For large asset management institutions, if funds, bonds, and money market products can all be tokenized in the future, the operational efficiency of the entire financial market could be fundamentally rewritten.

II. Franklin Templeton Partners with Kraken: Accelerated Implementation of Tokenized Stocks and On-Chain Yield Products

Besides BlackRock, Franklin Templeton's recent moves are also noteworthy.

Recently, Franklin Templeton announced a partnership with Payward, the parent company of the crypto exchange Kraken, to jointly explore opportunities for on-chain tokenization of traditional financial products.

This collaboration covers a wide range of areas, including tokenized stocks, compliant custody, actively managed yield products, and institutional-grade crypto liquidity services.

The most critical point is that the two parties are researching launching on-chain versions of Franklin Templeton's financial products. In other words, some traditional funds, yield products, and even securities may circulate directly in the form of on-chain tokens in the future.

This represents a very clear industry shift: previously, it was the crypto industry actively approaching traditional finance, but now traditional finance is also actively moving toward the crypto market.

Especially Kraken's recent tokenized stock business, xStocks, has validated market demand. Data shows that cumulative trading volume for this business has exceeded $30 billion since its launch last year.

This indicates that the global market's demand for on-chain securities trading is not merely conceptual but genuinely exists.

This is because traditional securities markets have many issues, such as fixed trading hours, complex cross-border investments, and long settlement cycles. The greatest advantage of tokenized stocks is enabling securities to circulate in real-time and be traded globally on-chain, similar to stablecoins.

Meanwhile, Franklin Templeton itself is one of the traditional asset managers most actively embracing the crypto industry. Currently, it has launched multiple crypto ETF products, issued the tokenized money market fund BENJI, and partnered with Ondo Finance to develop on-chain financial products.

From these actions, it's clear that more and more traditional financial institutions no longer view blockchain as a fringe market but are beginning to see it as an important component of the future financial system.

III. JPMorgan Chase Advances On-Chain Money Market Funds: An On-Chain Dollar System Is Taking Shape

Compared to BlackRock and Franklin Templeton, JPMorgan Chase's approach leans more toward building an on-chain dollar liquidity system.

On May 12th, JPMorgan Chase filed paperwork for the JPMorgan OnChain Liquidity-Token Money Market Fund (ticker: JLTXX), planning to launch a second tokenized money market fund.

This fund will issue digital tokens on the Ethereum blockchain, with the underlying assets primarily consisting of U.S. Treasuries and repurchase agreements.

This type of product is particularly noteworthy because money market funds are essentially akin to institutional versions of stablecoins.

They are backed by high-liquidity, low-risk assets like cash and U.S. Treasuries while also offering some yield. Now, more institutions are attempting to move these assets on-chain.

The reason is quite simple.

Stablecoins solve the payment problem, but on-chain money market funds solve the yield problem.

In the past, large amounts of on-chain dollar capital could only sit in stablecoin accounts, making it difficult to earn stable returns. But if users can directly invest their on-chain dollars into tokenized money market funds in the future, the entire on-chain dollar financial system will form a complete closed loop.

This is also why more traditional banks are beginning to pay attention to on-chain finance. They are realizing that blockchain is not just a type of encryption technology but may become a new type of settlement network for the future global financial system.

Over the past year, tokenized U.S. Treasuries have become one of the fastest-growing sectors in the entire RWA market. JPMorgan Chase's continued advancement of on-chain money market funds also signifies that large banks are beginning to formally participate in building the on-chain dollar system.

Conclusion

Looking back over the past few years in the crypto industry, one can see that the entire market is undergoing very noticeable changes.

In the early days, the industry discussed more about blockchain performance, DeFi mining, NFT hype, and Meme coin speculation. Now, more capital and institutions are focusing on on-chain U.S. Treasuries, tokenized funds, on-chain securities, and institutional-grade financial infrastructure.

This means the crypto industry is gradually shifting from a high-risk speculative market toward building a new type of financial system. And RWA is becoming one of the most important narratives in this phase.

Пов'язані питання

QWhat is RWA and why is it attracting significant interest from Wall Street institutions like BlackRock, Franklin Templeton, and J.P. Morgan?

ARWA stands for Real World Assets, referring to the tokenization of traditional financial assets like funds, bonds, and stocks on a blockchain. Wall Street institutions are attracted to RWA because it offers the potential for increased financial efficiency, including real-time global settlement, transparent record-keeping, 24/7 liquidity, and reduced reliance on intermediaries, which can lower costs and time delays.

QAccording to the article, what is the key innovation in BlackRock's recent SEC filing for a tokenized fund structure?

AThe key innovation is that the ownership records of the on-chain fund shares will be integrated with regulated transfer agent systems and investor eligibility frameworks. This means on-chain holdings are no longer just blockchain data but are directly incorporated into the U.S. regulated fund registration system, helping to bridge the gap between on-chain finance and traditional regulatory frameworks.

QWhat specific areas are Franklin Templeton and Kraken exploring in their partnership, and what does this signify for the industry?

AFranklin Templeton and Kraken are exploring tokenized stocks, compliant custody, actively managed yield products, and institutional-grade crypto liquidity services. This signifies a shift where traditional finance is actively moving towards the crypto market, rather than crypto trying to fit into traditional finance. It shows that on-chain securities trading is seen as having real demand and potential.

QHow does J.P. Morgan's on-chain money market fund (JLTXX) differ in focus from the products launched by BlackRock and Franklin Templeton?

AJ.P. Morgan's on-chain money market fund focuses more on building the on-chain U.S. dollar liquidity system. While BlackRock's fund integrates ownership with traditional systems and Franklin Templeton explores tokenized stocks, J.P. Morgan's product addresses the yield problem for on-chain dollars, allowing them to earn returns on assets like U.S. Treasuries, thereby helping to create a complete on-chain dollar financial ecosystem.

QWhat broader trend does the article suggest is happening in the crypto industry, with RWA as a key driver?

AThe article suggests the crypto industry is evolving from a high-risk, speculative market focused on areas like DeFi yield farming, NFTs, and memecoins, towards building a new type of financial system infrastructure. RWA is a key driver in this shift, representing a move towards tokenized real-world financial instruments like government bonds, funds, and securities, which are attracting institutional capital and participation.

Пов'язані матеріали

TechFlow Intelligence Bureau: Chip Stocks Lose Trillions in a Single Day, Bitcoin Falls Below $60,000, US-Iran Conflict Escalates

**Daily Tech & Markets Roundup: AI Advances, Market Turmoil, and Geopolitical Tensions** **AI / LLMs**: Anthropic's internal report on AI self-improvement sparked serious discussions about Recursive Self-Improvement (RSI). Meanwhile, debate continues on AI coding tools after Claude was accused of introducing bugs into the rsync codebase. In positive news, DeepSeek V4 Flash impressed in local deployment tests, and GitHub Copilot now supports custom endpoints for local models. A surprising research turn suggests removing chain-of-thought prompting can sometimes improve LLM performance. **Crypto / Web3**: Bitcoin plunged below $60,000, with its RSI hitting levels last seen during the COVID-19 crash, driven by strong U.S. jobs data reviving interest rate hike fears. Discussions highlight Ethereum DeFi's continued lack of a smooth consumer payment layer. **Chips / Hardware**: Chip stocks suffered a massive sell-off, with the Philadelphia Semiconductor Index posting its worst single-day drop in six years, erasing over a trillion dollars in value. Marvell, Micron, AMD, and Intel were among the biggest losers. **Tech Companies**: A leaked Microsoft document revealing goals to make Copilot "addictive" drew criticism. LinkedIn founder Reid Hoffman left Microsoft's board to focus full-time on his AI agent startup, Manus. Google was revealed to be paying SpaceX $920 million monthly for AI training compute. **Markets & Macro**: A blowout U.S. jobs report (172k vs. 80k expected) crushed hopes for near-term rate cuts, sending Treasury yields soaring and triggering a broad market sell-off. CEOs from Kraft, McDonald's, and Whirlpool simultaneously warned U.S. consumers are exhausting their savings. **Geopolitics**: U.S.-Iran tensions escalated with missile/drone interceptions and U.S. strikes on Iranian radar sites, keeping the critical Strait of Hormuz largely closed since late February and posing ongoing oil supply risks. **The Bottom Line**: The strong jobs data acted as a single trigger for correlated sell-offs across equities, crypto, and chips. Underlying the volatility is a stark contradiction between robust employment data and warnings of consumer weakness, alongside geopolitical risks that could reignite inflation, leaving markets to price in a fraught macro outlook with no clear "soft landing" path.

marsbit51 хв тому

TechFlow Intelligence Bureau: Chip Stocks Lose Trillions in a Single Day, Bitcoin Falls Below $60,000, US-Iran Conflict Escalates

marsbit51 хв тому

It Took Me a Year to See the Bitter Truth About Agent Payments

After a year building infrastructure for the Agent economy, engaging with major players like Stripe, Visa, and Coinbase, the author shares a sobering analysis of the current state of Agent payments. The core finding is a stark lack of genuine, immediate demand across most envisioned use cases. The article breaks down four key market segments: 1. **Agent-to-Merchant (Consumer Shopping):** For most product categories (e.g., clothing, electronics), conversational AI shopping is a step backwards from visual e-commerce interfaces. While agents excel at understanding needs, they can't replace side-by-side product comparison. Real merchant interest is defensive "Agent Engine Optimization," not driven by current customer demand. Potential exists for high-frequency, low-decision purchases (like food delivery) or navigating complex store UIs, but these require massive B2C distribution channels dominated by giants like Amazon. 2. **Agent-to-API (Developer Services):** Developers already have subscriptions and billing relationships for APIs (compute, data). Prepaid balances solve micro-payment issues for low transaction volumes. A deeper structural problem is that major SaaS vendors' business models rely on enterprise contracts, resisting granular pay-per-call pricing. While protocols like MPP and x402 serve the long tail of niche services, this market is small and developers are historically low-willingness-to-pay. 3. **Agent-to-Agent:** This remains largely theoretical with minimal transaction volume. While it represents a long-term bet on a fundamentally new transaction infrastructure (sub-second, micro-penny to million-dollar, multi-party settlements), it does not constitute a present market. 4. **Agent-to-Finance:** This is the only category with existing, paying demand. Integrating AI into financial workflows (trading, portfolio management) is a natural evolution and enables new capabilities like autonomous rebalancing. However, competition favors established, regulated institutions. The "real problem" is not moving money between agents, but the broader challenge of **coordination**—orchestrating work between agents and humans, verifying outcomes, and settling results. Payment is just one component of settlement, which is itself part of coordination. Companies that solve the coordination layer will subsume payment, not the other way around. While well-funded incumbents build defensively for a long-term future, startups must find where the market is today—which, for the author's team, lies outside these four categories in an area of real, growing, and underserved activity.

marsbit1 год тому

It Took Me a Year to See the Bitter Truth About Agent Payments

marsbit1 год тому

It Took Me a Year to See the Hard Truth About Agent Payments

**Title: It Took Me a Year to See the Hard Truth About Agent Payments** Over the past year, I've worked on infrastructure for the Agent economy, engaging with major players like Stripe, Visa, Coinbase, and numerous startups. The findings reveal a stark reality: genuine, widespread demand for Agent-based payments does not yet exist. **Key Observations:** * **Agent-to-Merchant (Shopping):** The user experience for AI shopping often falls short, especially for visual product discovery. While AI excels at understanding needs, conversational interfaces can't yet replace browsing and comparing multiple products visually. Current merchant interest is largely defensive ("Agent Engine Optimization") for a future that hasn't arrived. High-frequency, low-friction purchases (like food delivery) are potential fits, but lack open APIs and face high AI inference costs. Simpler, more affordable, or cross-language interactions for complex UIs are a niche opportunity but require massive consumer distribution to scale. * **Agent-to-API (Developer Tools):** Developer payment needs for APIs (computing, data, models) are already met through subscriptions and prepaid credits. The core challenge is not payment friction but supplier economics: most large SaaS providers prefer enterprise contracts over micropayments for API calls. Protocols like MPP and x402 suit the long-tail of smaller services but cater to a developer market historically reluctant to pay for these tools. Major infrastructure needs at the top of the stack are already being addressed. * **Agent-to-Agent (Machine Commerce):** This is a long-term vision with almost no current transaction volume. While a future with high-speed, high-frequency, multi-party machine-to-machine transactions would require novel infrastructure, it remains theoretical. The market is not here yet. * **Agent-to-Finance:** This is the only category with clear, present demand. Financial professionals and DeFi users already pay for tools, and AI augmentation is a natural evolution. Autonomous AI agents can enable entirely new financial strategies. However, competition is fierce from established, regulated incumbents who can more easily layer AI onto their existing products. **The Core Insight:** Companies, especially giants with long time horizons, are building defensively for a potential future of mass machine commerce. For them, early investment is a low-cost hedge. For startups, the current market reality is different. The primary challenge isn't just moving money between agents (payments). The larger, unsolved problem is **orchestration** – coordinating work between agents and humans, verifying outcomes, and then settling. Payment is just a part of settlement, which is just a part of orchestration. Companies that solve the orchestration problem will subsume payments, not the other way around. After a year of building, we see the real, growing, and underserved market opportunity lies in this broader domain of orchestration.

链捕手1 год тому

It Took Me a Year to See the Hard Truth About Agent Payments

链捕手1 год тому

Claude Opus 4.8 Finds a $4.5 Billion Bug: The AI Era is Mass-Producing Hackers

A researcher discovered a critical "infinite mint" vulnerability in the Zcash cryptocurrency's Orchard protocol using Claude Opus 4.8, leading to a swift fix but also a 50% market drop, erasing billions in value. This incident highlights a new era where powerful, accessible AI models are dramatically lowering the barrier to finding software vulnerabilities. Previously, the security community feared specialized models like Claude Mythos Preview, capable of finding decades-old zero-day exploits. The Zcash case, however, involved a publicly available, general-purpose model. This shift makes advanced security auditing—and attack capabilities—accessible to far more people, not just experts. The mass democratization of vulnerability discovery brings a dual challenge: a flood of low-quality, AI-generated false reports that overwhelm maintainers, and the real, rapid uncovering of deep, dangerous bugs. Open-source projects, often understaffed and unfunded, are particularly vulnerable to this "attention DDoS." The article cites examples like curl shutting down its bug bounty program due to the unsustainable workload. Our perceived digital safety has often been luck, relying on the high cost and effort required to find deeply hidden flaws in complex systems, as seen with historical vulnerabilities like Heartbleed or Baron Samedit. AI changes this cost structure, effectively "mass-producing flashlights" to illuminate every corner of our codebase. While large companies operate extensive security chains involving external white-hat hackers and massive defensive operations, the global cybersecurity workforce faces a severe shortage, especially of experienced personnel capable of analyzing complex threats and coordinating fixes. The core dilemma emerges: AI makes *finding* bugs cheap and scalable, but *fixing* them remains a slow, expensive, and human-intensive process. The article concludes that AI won't destroy the internet but acts as a bright light, revealing that our digital existence is not inherently secure but is precariously maintained by ongoing human effort. The true cost in the AI era may not be discovery, but whether there will be enough people left willing and able to do the hard work of repair.

marsbit2 год тому

Claude Opus 4.8 Finds a $4.5 Billion Bug: The AI Era is Mass-Producing Hackers

marsbit2 год тому

Торгівля

Спот
Ф'ючерси
活动图片