SEC Approves Tokenized Securities—DTCC To Establish Blockchain Standards

ccn.comPublished on 2025-12-12Last updated on 2025-12-12

Abstract

The U.S. Securities and Exchange Commission (SEC) has approved the DTCC to develop a securities tokenization program. Its subsidiary, the Depository Trust Company, will establish standards for recording ownership of stocks, ETFs, and Treasuries on blockchain. This initiative aims to launch a pilot program in the second half of 2026. As the core of U.S. financial infrastructure, the DTCC processes quadrillions in transactions annually and will now define objective technology standards for tokenization. While it won’t mandate a specific blockchain, it will maintain a list of approved networks that meet its criteria. This move is expected to shape the future of tokenized securities globally, including decisions on approved blockchains and token data inscription requirements.

The Securities and Exchange Commission (SEC) has granted the Depositary Trust and Clearing Company (DTCC) approval to develop a securities tokenization program.

The Depository Trust Company, a DTCC subsidiary, is now tasked with developing standards to record the ownership of stocks, ETFs, and Treasuries on the blockchain.

Tokenization at the Heart of U.S. Financial Infrastructure

Some of the first tokenized securities in the U.S. include money market funds like Franklin Templeton’s FOBXX and BlackRock’s BUIDL.

Although these are real, regulated products, they exist outside of DTCC clearing and settlement.

Up until now, blockchain-powered issuance and settlement have existed as parallel rails that remain subordinate to the core financial infrastructure.

With a no-action letter from the SEC, the DTCC will move forward with a pilot tokenization scheme expected to launch in the second half of 2026.

DTCC To Set Blockchain Standards

As the United States’ primary central securities depository, pretty much every transfer of U.S. equities, corporate bonds, or notes runs through the DTCC, which processed transactions worth $3 quadrillion in 2023.

When it sets standards, they have implications for capital markets around the world.

In other words, the future of securities tokenization—questions like which blockchains will be approved and what kind of information tokens must be inscribed with—now rests with the DTC.

Rather than prescribing a particular blockchain, the SEC has tasked the DTC with defining objective technology standards that platforms must meet.

In practice, however, the organization will maintain a list of approved blockchains that meet its criteria.

Participants in the tokenization pilot are expected to receive this list in the coming months.

Related Reads

SpaceX, OpenAI, Anthropic: The Three AI Giants Racing for IPO, Which One Is Worth Betting On?

SpaceX, OpenAI, and Anthropic are poised for historic IPOs within weeks, potentially raising a combined $180 billion—a sum exceeding the entire internet bubble's fundraising. The hosts of the Limitless Podcast argue this isn't just individual company financing but an unprecedented capital concentration for AI infrastructure, driven by an insatiable need for compute, data centers, power, and chips. SpaceX's IPO is notable for reportedly changing market index rules to allow faster inclusion, potentially funneling trillions in passive retirement funds into its stock, despite its unproven space-based data center business model. In contrast, Anthropic demonstrates explosive growth, with ARR reportedly hitting $45 billion and approaching profitability, fueled by strong enterprise adoption of products like Claude Code. Google's separate $80 billion raise highlights the immense capital pressure, even for giants. The discussion acknowledges bubble risks but leans optimistic. The hosts contend the massive spending is building essential physical infrastructure for the next technological era. A key bottleneck isn't capital but the real-world limits of chip manufacturing and construction speed. As long as demand for AI compute outstrips supply, this investment cycle represents a foundational build-out rather than a purely financial bubble. All three companies are seen as foundational bets on the future, with Anthropic often cited as the most immediately compelling due to its proven revenue trajectory.

marsbit1h ago

SpaceX, OpenAI, Anthropic: The Three AI Giants Racing for IPO, Which One Is Worth Betting On?

marsbit1h ago

From 'Old Guys' to 'New Favorites': How AI Is Revaluing Old Infrastructure from Dell to Nokia?

From "Vintage Tech" to "New AI Darlings": How AI Revalues Old Infrastructure One year ago, tech giants like Dell, Nokia, Cisco, and Western Data were seen as slow-growth, low-valuation stories, far from the AI spotlight dominated by players like Nvidia. Now, these legacy tech stocks are gaining market attention, sparking debate on whether this is genuine industry revaluation or a temporary narrative. As AI moves from model parameters to real-world data centers, the market is recognizing companies with proven delivery and infrastructure capabilities. This shift marks a change in the AI investment thesis: from pure model and GPU focus to the complex systems engineering required for deployment. Companies like Dell, HPE, and Corning are being revalued not for being "sexy" AI innovators, but for their decades of accumulated expertise in supply chains, enterprise delivery, and infrastructure—assets that have become critical in the AI buildout phase. The revaluation is unfolding across three key infrastructure lines: 1. **Servers & System Integration:** Dell and HPE are emerging as crucial system integrators or "general contractors" for AI data centers, translating GPU orders into complete, deployable server racks integrated with power, cooling, and networking. 2. **Networking & Connectivity:** AI's scale demands robust high-speed connections. Corning (fiber optics), Nokia (AI-RAN, 6G), and Cisco (data center switches) are gaining importance for enabling efficient data transfer within and between AI clusters. 3. **Storage:** Beyond high-speed memory (HBM/DRAM), the AI data explosion is driving demand for high-capacity hard drives (HDDs) from companies like Western Digital and Seagate to handle training data, logs, and cold storage cost-effectively. For this revaluation to be substantive and not just a narrative, three criteria are key: 1) Concrete AI-related order and revenue growth (e.g., Dell's AI server sales), 2) Upward revisions to company financial guidance, and 3) Sustainable improvements in profit quality, not just top-line revenue spikes. In essence, AI's transition to a real construction phase is re-pricing "old assets" against "new demand." The opportunity, however, is selective. Only those legacy firms that are demonstrably integrated into the capital expenditure chains of data center and enterprise AI deployment are likely to experience a true "logic re-rating" rather than just a temporary valuation bounce.

marsbit1h ago

From 'Old Guys' to 'New Favorites': How AI Is Revaluing Old Infrastructure from Dell to Nokia?

marsbit1h ago

The Merger of Codex and ChatGPT Marks the Beginning of a Major Reshuffle in Programming Tools

OpenAI is shifting its strategic focus from ChatGPT to Codex, merging them along with the browser tool Atlas into a unified desktop super-app. This move signals an internal belief that Codex, originally a programming tool, represents the next evolution of AI more than conversational models like ChatGPT. Over the past year, Codex's weekly active users have surged past 5 million. The key distinction is that while ChatGPT answers questions, Codex executes tasks. Enterprises increasingly value this ability to get work done over simply receiving advice. Consequently, Codex is attracting professionals beyond developers, including analysts, bankers, marketers, and product managers. OpenAI's reorganization and increased investment in Codex stem from recognizing that the future of AI competition lies in execution capabilities, not just conversation. The company is launching role-specific plugins (e.g., for data analysis, sales, design) to transform Codex into a broad knowledge work platform that automates and redefines white-collar workflows. Beyond being a tool, Codex reflects OpenAI's ambition to redefine software. New features like "Sites"—which generates interactive websites from documents—and collaborative "Annotations" aim to create a paradigm where the AI understands the goal and handles the tools and steps, functioning more like a digital colleague than traditional software. The ultimate goal is a unified experience where the user cares only about the completed task.

marsbit2h ago

The Merger of Codex and ChatGPT Marks the Beginning of a Major Reshuffle in Programming Tools

marsbit2h ago

Trading

Spot
Futures
活动图片