Delphi Digital: The Era of Tokenization Has Arrived

比推Publicado a 2026-02-18Actualizado a 2026-02-18

Resumen

Tokenized U.S. Treasuries surpassed $10 billion in January 2024, led by institutions like BlackRock and Franklin Templeton. While government bonds are relatively straightforward to tokenize due to their standardized nature, equities present greater complexity because they involve shareholder rights such as voting and legal ownership. Two primary models exist: custodian-backed tokens (e.g., xStocks, Backed) offer price exposure but not direct ownership, while transfer agent-registered tokens (e.g., Superstate, Securitize) record holders directly on the shareholder registry, granting full rights. The latter enables functionalities like 24/7 trading, use as collateral in DeFi, cross-margin capabilities with crypto assets, and direct capital raises without traditional underwriters. However, challenges remain, including fragmented liquidity across blockchains, KYC/AML compliance friction, varying international regulations, and limited integration with traditional exchanges. While Nasdaq has applied to trade tokenized securities, broader market adoption depends on regulatory clarity and improved liquidity. The market is betting that the transfer agent model—which offers real ownership—will outperform custodian-based structures. Equities can now be settled instantly, traded around the clock, and used as collateral, but whether this becomes standard depends on regulatory and liquidity developments.

Source: Delphi Digital

Compiled and Edited: BitpushNews


In January, the scale of tokenized treasury bonds exceeded $10 billion, with BlackRock, Franklin Templeton, Ondo, and Circle leading the market. Government bonds were the first to be tokenized because they have standardized instruments and liquid markets, making the process relatively straightforward.

But the real challenge lies with stocks.

Stocks represent shareholders, who possess voting rights and legal rights that must be enforced. Tokenization projects have all hit the same wall: you can mint a token representing a stock, but you do not actually own the share.

Not all tokenized stocks operate in the same way. Tokens issued by platforms like xStocks, Backed, and similar are backed 1:1 by shares held by a custodian. Investors gain price exposure and can trade 24/7, but ownership remains with the custodian.

Custodian vs. Transfer Agent

Superstate and Securitize are registered as transfer agents with the U.S. Securities and Exchange Commission (SEC), directly recording token holders on the company's shareholder registry. In September 2025, when Galaxy Digital was tokenized via Superstate's Opening Bell platform, GLXY token holders became genuine shareholders with voting rights and dividend entitlements. The blockchain was integrated with the shareholder registry.

Securitize has adopted a similar approach on the fund side. As the transfer agent behind BlackRock's BUIDL, they manage one of the largest tokenized treasury funds. They are also bringing institutional-grade private funds on-chain, lowering investment barriers and expanding access to alternative assets that were previously out of reach for most investors.

Recent guidance from SEC staff clarifies this distinction. Issuer-led tokenization through registered transfer agents creates ownership with full shareholder rights. Custodian-backed tokens may face different regulatory treatment and limitations compared to direct shareholder registration.

Genuine shareholder status enables functionalities that custodian-backed token structures cannot achieve.

Shareholders can trade 24/7 on supported trading platforms without waiting for the Toronto Stock Exchange to open. Shareholders of Forward Industries can pledge their equity as collateral on Kamino. Even if shares are deposited in lending pools, Superstate tracks beneficial ownership, ensuring dividends are distributed to the correct holders regardless of where the tokens are stored.

Backpack Exchange and Superstate have announced plans to enable cross-margining between tokenized stocks and crypto assets. Once live, traders can hold both tokenized stocks and SOL in the same account and use both as margin. Traditional brokers typically cannot offer this service because stocks and cryptocurrencies exist in completely separate custody and clearing systems.

This is unprecedented capital efficiency. Shareholders can obtain liquidity without selling, hedge across asset classes in a single account, and trade globally without settlement delays.

Raising Capital Without Underwriters

Superstate's direct issuance program allows publicly traded companies to reduce reliance on traditional underwriters for on-chain fundraising. Investors pay with stablecoins, shares are minted directly into their wallets, and companies receive funds instantly, with no cash settlement delays.

Traditional equity fundraising involves underwriters, roadshows, and settlement delays that can last weeks. Direct issuance compresses this into a single transaction, with the shareholder registry updated in real time.

The first issuances are expected later this year, likely from small-cap public companies that find traditional capital market infrastructure too costly relative to their trading size.

Missing Pieces

Liquidity remains fragmented. Tokenized stocks exist on multiple chains with no unified order book connecting them. Trading volumes are small compared to traditional markets, limiting the scale investors can move without impacting prices.

KYC requirements create friction with DeFi's permissionless architecture. Only whitelisted addresses can hold tokenized stocks, meaning they cannot be integrated into every lending protocol or liquidity pool. Issuers need to verify investors before they receive shares, and this verification must persist as tokens move between wallets.

Outside the U.S., regulatory frameworks vary significantly. SEC guidance applies to matters involving U.S. federal securities laws, but Europe, Asia, and other markets have their own rules, which may not align.

Traditional exchanges are watching closely. Nasdaq has filed an application with the SEC to trade tokenized securities. But until regulators and existing participants figure out how this fits into the existing market structure, actual exchange support for on-chain stocks remains pending.

Conclusion

Tokenized treasury bonds have proven that this mechanism can work at scale. Now, the stock space is catching up, achieving genuine compliance and true DeFi integration.

The market is betting that the transfer agent model, which records token holders as actual shareholders, will outperform indirect ownership structures that only provide price exposure.

Stocks can now be settled instantly, traded 24/7, and used as collateral in markets that never close. Whether this becomes the standard for how stocks operate or remains a niche play for crypto-native companies depends on whether liquidity and regulatory clarity can keep up with the infrastructure already in place.


Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7612882

Criptos en tendencia

Preguntas relacionadas

QWhat is the key difference between tokenized stocks issued by platforms like xStocks/Backed and those registered with the SEC as transfer agents like Superstate/Securitize?

APlatforms like xStocks and Backed issue tokens that are 1:1 backed by stocks held by a custodian, providing price exposure but not actual ownership. In contrast, SEC-registered transfer agents like Superstate and Securitize record token holders directly on the company's shareholder registry, granting them full shareholder rights including voting and dividends.

QWhat major milestone did tokenized treasury products achieve in January, and which companies are leading this market?

AIn January, the size of tokenized treasury products surpassed $10 billion. Companies such as BlackRock, Franklin Templeton, Ondo, and Circle are leading this market.

QWhat are some of the unique functionalities enabled by true shareholder status in tokenized stocks, according to the article?

ATrue shareholder status enables functionalities like 24/7 trading on supported platforms, the ability to use equity as collateral (e.g., on Kamino), receiving dividends regardless of where the token is held, and cross-margining between tokenized stocks and crypto assets in a single account for unprecedented capital efficiency.

QHow does Superstate's direct issuance plan aim to change the traditional capital raising process for public companies?

ASuperstate's direct issuance plan allows public companies to raise capital on-chain with reduced reliance on traditional underwriters. Investors pay with stablecoins, shares are minted directly to their wallets, the company receives funds instantly, and the shareholder registry is updated in real-time, compressing a process that traditionally takes weeks into a single transaction.

QWhat are the main challenges or missing pieces currently hindering the wider adoption of tokenized stocks?

AThe main challenges include fragmented liquidity across different blockchains without a central order book, smaller trading volumes limiting large-scale moves, friction between KYC requirements and DeFi's permissionless architecture, and varying regulatory frameworks outside the U.S. that are not necessarily aligned with the SEC's guidance.

Lecturas Relacionadas

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbitHace 1 hora(s)

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbitHace 1 hora(s)

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbitHace 1 hora(s)

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbitHace 1 hora(s)

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbitHace 3 hora(s)

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbitHace 3 hora(s)

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbitHace 3 hora(s)

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbitHace 3 hora(s)

Trading

Spot
Futuros

Artículos destacados

Cómo comprar ERA

¡Bienvenido a HTX.com! Hemos hecho que comprar Caldera (ERA) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Caldera (ERA) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Caldera (ERA)Después de comprar tu Caldera (ERA), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Caldera (ERA)Tradear fácilmente con Caldera (ERA) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

396 Vistas totalesPublicado en 2025.07.17Actualizado en 2026.06.02

Cómo comprar ERA

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de ERA (ERA).

活动图片