Tokenization will disrupt finance faster than digital disrupted media: Crypto exec

cointelegraphPublicado em 2025-12-21Última atualização em 2025-12-21

Resumo

Tokenization will transform finance faster than digital technology disrupted media, according to MoonPay president Keith Grossman. He argues that real-world asset (RWA) tokenization will force traditional financial firms to adapt, citing examples like BlackRock and Franklin Templeton already offering tokenized funds. Major banks are also exploring onchain settlements. Grossman believes institutions that embrace this shift will succeed, while those resisting will fall behind. Benefits include 24/7 market access, global scalability, lower costs, and near-instant settlements. Regulatory progress, such as the SEC and CFTC working on round-the-clock market frameworks and the DTCC’s approval to launch tokenized U.S. Treasuries by 2026, signals accelerating adoption.

Tokenization will transform the financial industry faster than digital technology disrupted legacy media, such as print newspapers, physical copies of music and other analog formats, according to Keith Grossman, president of crypto payments company MoonPay.

“While many feared digitization would destroy media, what it actually did was force its evolution,” Grossman said, adding that real-world asset (RWA) tokenization, the process of representing traditional assets onchain, will force traditional institutions to adapt. He added:

“This is no longer hypothetical. BlackRock is offering tokenized funds. Franklin Templeton is running tokenized money market funds on public blockchains. Major global banks are piloting onchain settlement, tokenized deposits and real-time asset movement.”
The market capitalization of the RWA sector, excluding stablecoins, is nearly $19 billion at the time of this writing. Source: RWA.XYZ

Financial incumbents like Citi, Bank of America, JPMorgan Chase and others will continue to exist in a different form, Grossman said, much like media companies continued to exist after the shift to digital distribution in the late 1990s and early 2000s, which disrupted business models that worked for decades.

Ultimately, the survivors and winners of the ongoing shift toward tokenized finance will be those companies that get ahead of the change and not those that attempt to stop the inevitable shift to a global financial system powered through blockchain rails, he said.

Related: Wall Street’s $4 quadrillion backbone to roll out tokenized US Treasurys

Why tokenized assets can change the game

Tokenizing real-world assets carries several benefits, including enabling 24/7 access to markets, making asset classes global in scale, cheaper transaction costs through disintermediation, and lowering settlement times to minutes, instead of days.

In September, the United States Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission (CFTC) issued a joint statement on creating a regulatory framework to enable 24/7 capital markets.

The overwhelming majority of tokenized RWA value has found its home on the Ethereum network. Source: RWA.XYZ

The financial system shifting to 24/7 trading represents a major departure from how traditional markets, which close on nights, weekends and holidays, currently operate.

In December, the Depository Trust and Clearing Corporation (DTCC), a settlement and clearing company that processed about $3.7 quadrillion in settlement volume in 2024, received approval from the SEC to start offering tokenized financial instruments.

The DTCC plans to roll out tokenized assets in the second half of 2026, starting with US Treasuries and stock indexes.

Magazine: Unstablecoins: Depegging, bank runs and other risks loom

Perguntas relacionadas

QAccording to Keith Grossman, how will tokenization impact the financial industry compared to digital technology's effect on media?

AKeith Grossman believes that tokenization will transform the financial industry faster than digital technology disrupted legacy media, such as print newspapers and physical music copies.

QWhat are some examples of major financial institutions already involved in tokenization, as mentioned in the article?

ABlackRock is offering tokenized funds, Franklin Templeton is running tokenized money market funds on public blockchains, and major global banks are piloting onchain settlement, tokenized deposits, and real-time asset movement.

QWhat key benefits does tokenizing real-world assets provide, according to the article?

ATokenizing real-world assets enables 24/7 access to markets, makes asset classes global, reduces transaction costs through disintermediation, and lowers settlement times to minutes instead of days.

QWhich organization, responsible for processing about $3.7 quadrillion in settlement volume in 2024, received SEC approval to offer tokenized financial instruments?

AThe Depository Trust and Clearing Corporation (DTCC) received approval from the SEC to start offering tokenized financial instruments.

QOn which blockchain network is the overwhelming majority of tokenized RWA value located, as per the article?

AThe overwhelming majority of tokenized RWA value is on the Ethereum network.

Leituras Relacionadas

Gary Yang: Agent Economy and AI Submicroeconomics

**Title:** Agent Economy and AI Sub-Microeconomics - Gary Yang **Summary:** Following the AI singularity, the pace of evolution has accelerated rapidly, creating new generational disparities in technological advancement globally. While many regions are still grappling with single-agent bottlenecks, Silicon Valley has moved ahead into the next dimension: the Agent Economy and A2A ecosystems. The article outlines six key areas of this emerging paradigm: 1. **AI Payment Competition & H2A Bottlenecks:** A fierce battle for AI Agent payment protocol standards is underway (e.g., MPP, x402). However, most current efforts remain Human-to-Agent (H2A), essentially grafting AI onto traditional human-centric commerce, which creates a non-AI-native bottleneck. The true potential lies in Agent-to-Agent (A2A) autonomous economies. 2. **Agent Economy & the Inevitable A2A Trend:** The Agent Economy is defined by autonomous AI Agents creating, exchanging, and capitalizing value as independent economic actors. The A2A ecosystem describes their interactions. This represents the next major investment frontier, akin to the early days of e-commerce or DeFi, but with faster iteration and an AI-native, efficiency-first perspective that often diverges from human needs. 3. **AI Protocol vs. Crypto Protocol:** AI Protocols are the foundational rules for Agent interaction in an open network (communication, discovery, collaboration), akin to the governance and economic laws of the AI world. Currently, they focus on communication and weak boundaries, unlike Crypto Protocols which emphasize asset rights and clear ownership. While they appear different due to political-economic factors and legacy system constraints, their eventual convergence into a unified Digital Protocol system is seen as inevitable, driven by first principles. 4. **AI Agent Sub-Microeconomics & Biological Analogy:** AI Agent economics differ fundamentally from human economics: higher frequency/lower value transactions, energy/value direct correlation, efficiency-driven (not emotional) decisions, task-oriented (not consumption-oriented) behavior, and near-zero organizational/communication costs. A powerful analogy frames the Agent economy as a biological system: the LLM is the nucleus, the Agent harness is the cytoplasm, the Agent itself is a cell, its communication protocol is the cell membrane, and external tools (Skills, Prompts) are the extracellular environment. 5. **The Inevitability of AIFi & FinChip:** AIFi (AI Finance) represents the financial system where AI-native value within the Agent economy is tokenized and exchanged. Unlike TradFi/DeFi where value resides *in* finance, in AIFi, value originates *in* AI, and finance becomes its form. This shift is enabled by Agents taking over value discovery. FinChip (Financial Chip) is introduced as a key infrastructure—a fusion of AI autonomy and crypto smart contracts—forming intelligent financial assets to power the future A2A economy. 6. **AI-Native as a Paradigm Shift:** Adopting AI is not akin to "Internet+". It requires AI-Native thinking—designing systems based on first principles, the shortest energy-value path, and maximum efficiency. This abstract, counter-intuitive logic poses a significant, ongoing challenge for all practitioners, as effective, generalized upgrade methodologies will be slow to emerge in this rapidly evolving landscape.

链捕手Há 22m

Gary Yang: Agent Economy and AI Submicroeconomics

链捕手Há 22m

From 'The Big Short' to San Francisco: The Revelry and Dizziness Within the AI Bubble

From "The Big Short" to San Francisco: The Frenzy and Dizziness in the AI Bubble The article captures the intense, frenetic atmosphere in San Francisco, the epicenter of the current AI boom. Drawing a parallel to the "smell of money" from *The Big Short*, the author observes a city gripped by a singular status game centered entirely on AI and technology. This manifests in a palpable, caffeine-fueled anxiety ("people are shaking"), rampant comparison using vanity metrics like funding rounds, and pervasive "Big Bubble Behavior." The piece explores the city's stark contrasts: its dystopian streets versus beautiful vistas, and the disconnect between the doomsday concerns of some AI researchers and the optimistic, growth-focused "GTM" teams. It critiques the obsession with "math genius" founders as the new ticket to outsized returns, akin to scouting sports prodigies. Referencing economic historian Carlota Perez's "frenzy phase" and Karl Polanyi's "double movement," the author frames the boom as a period where financial speculation detaches from fundamentals, with society potentially becoming subordinate to a new economic force driven by "geniuses in data centers." Ultimately, while acknowledging the unprecedented wealth creation and party-like energy, the article concludes with cautionary advice: when the music is playing, you should dance, but don't get drunk. The core reminder is to stay grounded, avoid distorted judgment, and maintain perspective amidst the euphoria.

marsbitHá 23m

From 'The Big Short' to San Francisco: The Revelry and Dizziness Within the AI Bubble

marsbitHá 23m

Is AI Creating a New Class of 'Information Poor'?

AI is generating a new kind of "information poverty." The core issue isn't that AI denies answers to the poor; it's that it provides abundant, cheap, and plausible-sounding answers to everyone. This availability shifts the true scarcity from obtaining answers to possessing the **judgment to evaluate them** and the access to turn them into real-world opportunities. New information poverty thus describes those who have AI tools and outputs, but lack the complementary skills, authorization, and contextual experience to critically assess and act on them. Research reveals a multi-layered divide: access to AI is stratified by income and platform design (e.g., premium vs. free, embedded tools). In workplaces, usage heavily favors higher-paid, more experienced, or formally trained employees, with AI often automating entry-level tasks that were traditional stepping stones. Crucially, the heaviest users are often mid-career professionals whose existing expertise allows them to effectively judge and leverage AI outputs, while novices risk over-relying on them without building judgment. While controlled experiments show AI can significantly boost low-skilled workers' performance, real-world adoption and benefit are constrained by unequal social and organizational structures. Historically, general-purpose technologies first reward those with existing complementary capital. AI, by affecting judgment-based work, may accelerate and deepen this initial inequality gap, even if it narrows over decades. The danger lies in the illusion of competence it creates, potentially stunting the very critical thinking needed in an era where judgment is paramount.

marsbitHá 57m

Is AI Creating a New Class of 'Information Poor'?

marsbitHá 57m

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

On June 5th, South Korea's stock market experienced a sharp decline, with major chipmakers like Samsung and SK Hynix dropping nearly 10%. Amidst the turmoil, NVIDIA CEO Jensen Huang's visit to Seoul played a dramatic role in boosting market sentiment. Following a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung, Huang confirmed that NVIDIA's new Vera CPU will utilize SK Hynix DRAM. The companies announced a multi-year technical partnership to co-develop next-generation memory for NVIDIA's AI infrastructure, covering products from data centers to personal AI and robotics. This collaboration extends beyond memory supply. SK Hynix is integrating NVIDIA's AI and Omniverse platform into its own semiconductor design and manufacturing processes, including computational lithography and creating digital twins of its fabrication plants for autonomous operation. While strengthening ties with SK Hynix, NVIDIA is diversifying its supply chain for the upcoming HBM4 memory, with Samsung, SK Hynix, and Micron all certified as suppliers for its Vera Rubin platform. Despite this, Huang warned that the global chip shortage, driven by relentless demand from AI factory construction, is expected to persist for several years across the entire supply chain. His visit underscores NVIDIA's systematic effort to deepen integration with South Korea's broader tech industry.

marsbitHá 1h

Jensen Huang 'Saves' South Korean Stock Market: Locks In SK Hynix Memory, Chip Shortage to Continue

marsbitHá 1h

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

The Nasdaq plunged 4.18% on June 5, 2026, its worst single-day drop in over a year, as a much stronger-than-expected US jobs report triggered fears of economic overheating and delayed Federal Reserve interest rate cuts. The selloff, centered on high-valuation tech and AI stocks like Nvidia and Broadcom, spread across major indices. The article examines whether this signals a market top. The strong May non-farm payrolls data, nearly double expectations, pushed bond yields higher, directly hurting rate-sensitive tech stocks. This exposed vulnerabilities in the crowded AI trade, where valuations had soared on narratives of infinite growth, despite emerging signs of slowing order momentum and corporate AI monetization challenges. Prior to the drop, market indicators flashed warning signs: historically high valuations (e.g., Shiller CAPE ratio near 39.5), extreme bullish sentiment, and high levels of leverage. Technical charts showed key support levels being breached. Wall Street is divided on the outlook. Bears, citing risks of "stagflation" and AI bubble comparisons to the dot-com era, warn of a potential significant correction. Bulls view the drop as a healthy correction within a bull market, underpinned by a strong economy and expected corporate earnings growth of around 7% in 2026. The immediate future hinges on upcoming key events: the May CPI inflation data and the mid-June FOMC meeting. Their outcomes will critically shape market expectations for the Fed's rate path. The article concludes that conditions for a major market top are aligning, marking a fragile transition from narrative-driven gains to a phase demanding validation from macroeconomic data and corporate fundamentals. Caution is advised.

marsbitHá 1h

Nasdaq Plunges 4.2% in a Single Day: Does "Black Friday" Burst the U.S. Stock Market Bubble?

marsbitHá 1h

Trading

Spot
Futuros
活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow