NYSE picks Securitize as tokenized stocks near $1B milestone – Details

ambcrypto2026-03-25 tarihinde yayınlandı2026-03-25 tarihinde güncellendi

Özet

The New York Stock Exchange (NYSE) has selected Securitize as the digital transfer agent for its upcoming tokenized securities platform, marking a significant step in bringing traditional markets on-chain. This partnership aims to develop the operational and regulatory framework for issuing, tracking, and transferring blockchain-based versions of stocks and ETFs. The initiative is part of the Intercontinental Exchange’s broader plans for a Digital Trading Platform, which will feature 24/7 access, near-instant settlement, and support for both tokenized existing equities and digital-native securities while retaining shareholder rights and dividend structures. The announcement comes as the total value of tokenized stocks approaches $1 billion, with a 19% increase in the last 30 days and monthly transfer volumes reaching $2.5 billion—a 45% rise. Active addresses have grown to over 75,000, with nearly 193,000 holders, indicating steady user growth and market momentum since early 2025.

The New York Stock Exchange (NYSE) is bringing traditional markets on-chain. It has selected Securitize as the digital transfer agent for its upcoming tokenized securities platform!

This could potentially change how equities are issued, tracked, and transferred.

NYSE to bring stocks on-chain?

As part of the collaboration with the New York Stock Exchange, Securitize will act as the platform’s first digital transfer agent. This will give the firm a central role in issuing and managing blockchain-based versions of stocks and exchange-traded funds (ETFs).

Source: X

The initiative falls as part of the Intercontinental Exchange’s initiatives to develop its upcoming Digital Trading Platform.

The partnership will reportedly focus on creating the operational and regulatory framework required for tokenized securities. This would include standards for how digital assets are issued, tracked, and transferred. It also builds on earlier plans for a next-generation trading venue featuring round-the-clock access, near-instant settlement, and blockchain-based infrastructure.

Source: ir.theice.com

The proposed system is expected to support both tokenized versions of existing equities and fully digital-native securities. However, it will retain key features like shareholder rights and dividend structures.

About the agreement, Securitize Founder and CEO Carlos Domingo said,

Very proud and humbled to have been chosen by @nyse for this role

The timing is interesting…

…because the numbers definitely support the development.

In fact, recent data per rwa.xyz showed that the total value of tokenized stocks has been nearing $1 billion – Up over 19% in the last 30 days. Furthermore, monthly transfer volume went up to $2.5 billion – A 45% increase.

Source: RWA.xyz

Active addresses have climbed to 75,000+ too, alongside nearly 193,000 holders. That’s steady user growth. There’s been a clear inflection since early 2025, with multiple tokenized assets contributing to the rise.


Final Summary

  • NYSE has tapped Securitize to bring stocks on-chain.
  • The timing works because tokenized stocks are near $1 billion in value with $2.5 billion in volumes.

İlgili Sorular

QWhat role has Securitize been selected for by the New York Stock Exchange (NYSE)?

ASecuritize has been selected as the digital transfer agent for NYSE's upcoming tokenized securities platform.

QWhat is the total value of tokenized stocks approaching according to recent data?

AThe total value of tokenized stocks is nearing $1 billion, with a 19% increase in the last 30 days.

QWhat are some key features the proposed tokenized securities system will retain?

AThe system will retain key features like shareholder rights and dividend structures.

QWhat does the partnership between NYSE and Securitize focus on creating?

AThe partnership focuses on creating the operational and regulatory framework required for tokenized securities, including standards for issuance, tracking, and transfer.

QHow has the monthly transfer volume for tokenized stocks changed recently?

AMonthly transfer volume increased to $2.5 billion, representing a 45% rise.

İlgili Okumalar

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.

marsbit45 dk önce

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

marsbit45 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.

marsbit50 dk önce

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

marsbit50 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.

marsbit50 dk önce

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

marsbit50 dk önce

İşlemler

Spot
活动图片