Securitize hires former PayPal exec as US tokenization gains traction

cointelegraphОпубліковано о 2025-12-09Востаннє оновлено о 2025-12-09

Анотація

Securitize, a major tokenization platform, has hired former PayPal executive Jerome Roche as its new general counsel to strengthen its push for tokenized equity in the US. Roche previously led PayPal’s expansion into digital assets, including the PYUSD stablecoin. The company emphasized that tokenized securities are already accessible to US investors, countering the perception that such offerings are primarily available abroad. CEO Carlos Domingo stated that Securitize operates within a clear US regulatory framework using SEC-approved infrastructure, enabling fully compliant access to onchain securities. This development follows Securitize’s recent regulatory approval in the EU and signals growing acceptance of tokenization in the US, further evidenced by the SEC ending its investigation into rival platform Ondo Finance.

Major tokenization platform Securitize has doubled down on its push to bring tokenized equity to US investors, naming a former PayPal executive as its new general counsel.

Securitize on Tuesday announced the appointment of ex-PayPal executive Jerome Roche, who led the company’s expansion into digital asset projects, including the PayPal USD (PYUSD) stablecoin.

Securitize also said its tokenized securities are already available to US investors, challenging the notion that most issuers prefer to offer such products abroad due to local stock access.

“There’s been a perception that tokenized securities must be offered primarily outside the US, but our experience shows the opposite,” Securitize CEO Carlos Domingo told Cointelegraph.

“Clear regulatory path” for tokenized stocks in the US

According to Securitize, operating real-world asset (RWA) tokenization offerings inside the US regulatory perimeter is “not only possible, but scalable, at institutional quality.”

“We’ve demonstrated that there is a clear regulatory path for issuers to natively tokenize assets for US investors,” Domingo said.

“These are not synthetic representations, or derivatives, but real securities onchain,” the CEO said, adding:

“We operate using SEC-regulated infrastructure, including a registered transfer agent broker-dealer, and fund admin, which allows US investors to access and legally hold tokenized securities in a fully compliant framework.”

Securitize’s optimistic outlook on the US tokenization comes days after the platform obtained regulatory approval to operate as an investment company and a trading ánd settlement system in the European Union on Nov. 26. According to the company, the approval positioned it as one of the first operators for regulated digital securities infrastructure in both the US and EU.

Source: Securitize

“For the first time, modern ledger technology is giving us the ability to record ownership, settle transactions, and move value in ways that are fundamentally better than the fragmented systems we’ve inherited,” Securitize’s newly appointed general counsel, Roche, said in the announcement.

“Innovation only works when it fits squarely within the guardrails of applicable law,” he added, underscoring Securitize’s global push for regulated tokenized securities.

Related: US Treasurys lead tokenization wave as CoinShares predicts 2026 growth

Securitize’s news is another sign of the US warming to tokenization. On Monday, the Securities and Exchange Commission dropped its investigation into rival tokenization platform Ondo Finance.

Ondo said the decision marks a new chapter for tokenized securities in the US, where they are poised to become a “core part of the capital markets.”

Magazine: When privacy and AML laws conflict: Crypto projects’ impossible choice


Пов'язані матеріали

DRAM ETF Issuer: Samsung, SK Hynix, Micron All Surpass $1 Trillion, the AI Era of Memory Chips Has Only Just Begun

Authors: Dave Mazza, Thomas DiFazio | Source: Deep Tide TechFlow The article, written by Roundhill Investments (issuer of the DRAM ETF), responds to Morningstar's caution about investing in memory chip stocks. Morningstar warns of the sector's history of boom-bust cycles, a lack of economic moats, and potential momentum-driven overvaluation. Roundhill argues the current situation is structurally different due to AI. Key points in Roundhill's rebuttal include: * **Changed Demand & Supply Dynamics:** AI infrastructure, not consumer electronics, is now the primary growth driver for memory demand. New, strict long-term supply agreements with hyperscalers reflect the high capital intensity of advanced manufacturing. * **Existence of a Moat:** High-Bandwidth Memory (HBM), essential for AI, has extremely high manufacturing barriers. The market is dominated by Samsung, SK Hynix, and Micron, with new entrants blocked by technological complexity and long lead times for equipment like ASML's EUV machines. * **Strong Fundamental Outlook:** Analyst consensus projects the three companies will rank among the world's most profitable by 2027, with combined profits of $704 billion on over $1 trillion in revenue. Their operating margins have already reached record highs. * **Valuation Re-rating:** Despite significant stock price gains, memory stocks trade at attractive valuations (e.g., a median NTM P/E of 8.37x for the DRAM ETF) relative to projected explosive EPS growth. Roundhill suggests historical valuation frameworks may no longer apply given the new profitability paradigm. Conclusion: Roundhill contends the rally is justified by fundamentals, marking a structural shift for the memory industry into a new era of sustained, AI-driven demand against constrained supply, rather than a repeat of past cycles.

marsbit17 хв тому

DRAM ETF Issuer: Samsung, SK Hynix, Micron All Surpass $1 Trillion, the AI Era of Memory Chips Has Only Just Begun

marsbit17 хв тому

EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

The Ethereum Foundation (EF) has announced a major organizational restructuring, involving a 20% staff reduction (approx. 54 employees) and a division into functional clusters like Protocol, Access, User, Community, and Institutional layers. Co-founder Vitalik Buterin further revealed plans to cut the EF's budget by around 40% over the coming years, aiming to reduce its annual spending rate from about 15% to roughly 5% by 2030, transitioning to an endowment-driven model. This overhaul is seen as a long-overdue correction to the EF's ambiguous role. As Ethereum grew, the foundation faced persistent criticism over ETH sales, perceived lack of execution, and unclear strategy, often becoming a focal point for community frustration amid ETH's price stagnation. The reform aims to redefine the EF's boundaries, narrowing its focus to core protocol research, public goods funding, and ecosystem coordination, while offloading more applied development work to the broader market. Concurrently, ecosystem forces like the newly formed Ethlabs (founded by ex-EF researchers) and other independent groups are stepping in to fill the space, signaling a shift from a centralized model to a more distributed, collaborative ecosystem structure. The move was notably praised by Solana co-founder toly, who viewed a "leaner" EF as potentially more decisive and agile.

Odaily星球日报57 хв тому

EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

Odaily星球日报57 хв тому

Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

Dragonfly partner Haseeb explores the distorted economics of AI model pricing, drawing parallels to tax policy. He notes that startups and small teams (under 150 users) enjoy heavily subsidized, fixed-price AI subscriptions (like Claude Code), where the marginal cost of an additional token is effectively zero. This creates a powerful incentive for them to maximize token usage ("token-maxxing") and innovate aggressively with AI automation. In contrast, large enterprises (over 150 users) are forced onto "Enterprise" plans, paying per-token API fees with high (~75%) markups. This acts like a steep "tax" on AI-powered labor, disincentivizing marginal automation and experimental use, and encouraging them to retain more human workers. Haseeb argues this pricing creates a "150-person cliff," a regulatory notch similar to labor laws in France that discourage firms from growing past 50 employees. He predicts the fastest-growing future companies may deliberately cap their headcount at 149 to avoid the punitive enterprise pricing. This would foster an "AI-first" management philosophy obsessed with automation and outsourcing to stay lean. While not intentionally designed, this bifurcated pricing could become one of the most influential de facto tax policies, shaping how AI replaces labor—not through mass layoffs at big firms, but through agile, AI-native startups outcompeting them.

marsbit1 год тому

Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

marsbit1 год тому

How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

xBubble: Addressing the Structural Gap in the VC-Backed OPC Economy The concept of OPC (One Person Company) is evolving from a buzzword to a significant AI-driven market. While AI coding tools like Replit and Lovable have validated demand from non-technical users wanting to build applications, a key gap remains: the leap from creating a demo to running a stable, evolving business. These tools still require users to manage the development process, including technical judgments for integrations, modifications, and deployments—a major hurdle for OPCs. xBubble, by DAPPOS, tackles this by shifting from "Prompt-to-Code" to "SOP-to-Business." Instead of generating code from instructions, its core is a system of pre-organized SOPs (Standard Operating Procedures) that translate business goals—like "sell World Cup merchandise"—into complete, executable workflows. This includes generating cohesive assets, pages, payment systems, and backend logic. The platform is augmented by a network of third-party service providers who handle infrastructure (hosting, domains, payment setup), acting like "on-site service engineers." Users can pay for these services directly with xBubble credits, simplifying onboarding. This ecosystem aims to deliver not just an app, but a complete, modifiable business launch path. xBubble targets a clear OPC segment: small commercial nodes (e.g., creators, merchants) with existing products, customers, or channels, but for whom a full tech team is unjustifiable. Its potential lies in SOPs accumulating expertise from real cases, improving reliability and reducing delivery costs over time. Additionally, its native support for crypto payments caters to global or digital-native OPCs. In summary, as AI democratizes software creation, xBubble's opportunity is to prove that "SOP-to-Business" provides more immediate value for launching a real, operational business than a powerful but unstructured AI coding tool.

链捕手1 год тому

How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

链捕手1 год тому

Торгівля

Спот
Ф'ючерси
活动图片