Hester Peirce Says SEC Working on Limited Innovation Exemption for Tokenized Securities

TheNewsCryptoPubblicato 2026-03-13Pubblicato ultima volta 2026-03-13

Introduzione

SEC Commissioner Hester Peirce has indicated that the agency is developing a limited innovation exemption to allow restricted trading and experimentation with tokenized securities within the current regulatory framework. The proposal, discussed during an SEC Investor Advisory Committee meeting, is intended to be narrower than a broad blanket exemption. The committee cautioned against a wide-ranging exemption, emphasizing that such assets must still comply with federal securities laws. It also acknowledged potential benefits of tokenization, including improved settlement efficiency, reduced intermediary dependency, and possible 24-hour trading. Any regulatory changes would undergo standard public notice and comment procedures.

SEC Commissioner Hester Peirce has signaled a more cautious approach to blockchain innovation, recommending that the agency pursue an innovation exemption to allow limited trading and experimentation with tokenized securities within the present regulatory framework.

On March 12, the SEC Investor Advisory Committee meeting was held, where Commissioner Peirce stated, “Commission staff is working on an innovation exemption to facilitate limited trading of certain tokenized securities—much narrower than the “blanket” exemption mentioned in the draft recommendation.”

Meanwhile, the SEC’s Investor Advisory Committee also warned against implementing a broad blanket innovation exemption for tokenized securities. The committee observed that such crypto assets are still subject to federal securities laws and should continue to be subject to existing regulatory restrictions, even as policymakers look for methods to encourage blockchain-based financial innovation.

According to a letter dated February 26, the IAC’s market structure subcommittee proposed that changes to existing SEC regulations might be achieved through a limited or narrow innovation exemption or through rule-by-rule amendments.

However, it highlighted that any such measures must go through the regular notice and public comment period. The panel also stated that its suggestions are based on broad principles, recognizing that the tokenization of equities is still in its early stages and requires extensive technological developments.

Further, the IAC also spoke about the advantages associated with tokenized securities, such as potentially increasing settlement efficiency by enabling atomic settlement, in which payment and ownership transfers occur instantly on a blockchain, lowering settlement risk, and removing the delays associated with the present T+1 method. It reduces dependency on middlemen for actions such as dividends and proxy voting and may enable 24-hour trading.

While SEC Chair Paul Atkins, in the same meeting, said, “ I expect the Commission to soon consider an innovation exemption to facilitate limited trading of certain tokenized securities with an eye toward developing a long-term regulatory framework.”

Highlighted Crypto News:

Kraken Announces Pi Network Listing Ahead of Pi Day, Boosting Interest in PI Coin

TagsBlockchainCryptocurrencySEC

Domande pertinenti

QWhat is SEC Commissioner Hester Peirce proposing regarding tokenized securities?

ASEC Commissioner Hester Peirce is proposing a limited innovation exemption to allow for controlled trading and experimentation with tokenized securities within the current regulatory framework.

QWhat was the main concern raised by the SEC's Investor Advisory Committee about a broad exemption?

AThe SEC's Investor Advisory Committee warned against a broad blanket innovation exemption, stating that such crypto assets must remain subject to federal securities laws and existing regulatory restrictions.

QHow might the proposed changes to SEC regulations be implemented according to the IAC's subcommittee?

AThe IAC's market structure subcommittee suggested that changes could be achieved through a limited innovation exemption or through rule-by-rule amendments, but any measures must undergo the regular notice and public comment period.

QWhat are some potential benefits of tokenized securities mentioned by the IAC?

AThe IAC highlighted benefits such as increased settlement efficiency through atomic settlement, reduced settlement risk, elimination of T+1 delays, decreased dependency on intermediaries for dividends and proxy voting, and the potential for 24-hour trading.

QWhat did SEC Chair Paul Atkins say about the Commission's plans for tokenized securities?

ASEC Chair Paul Atkins stated that he expects the Commission to soon consider an innovation exemption to facilitate limited trading of certain tokenized securities, with the goal of developing a long-term regulatory framework.

Letture associate

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.

marsbit2 h fa

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

marsbit2 h fa

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.

marsbit2 h fa

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

marsbit2 h fa

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3 h fa

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

链捕手3 h fa

Trading

Spot
Futures
活动图片