Wall Street May Embrace Tokenized Stocks, But Not on Public Blockchains

Wall Street May Embrace Tokenized Stocks, But Not on Public Blockchains

Many crypto enthusiasts dream of trading traditional equities around the clock on public blockchains. They imagine a decentralized utopia where anyone can buy fractional shares of major corporations without traditional brokers.

This vision fundamentally misunderstands how institutional finance operates. In my opinion, major tokenized stocks will never migrate to public networks. The future of twenty-four-hour equity trading belongs exclusively to private or semi-private blockchain architectures.

Regulatory Signals Fuel the Narrative

The United States Securities and Exchange Commission recently proposed rescinding two key rules under Regulation National Market System.

These rules require trades to be routed to the national best price and prohibit locked or crossed quotes across venues. Analysts like Alex Thorn note that automated market makers on public chains conflict with these requirements because they execute against isolated liquidity pools without checking off-chain quotes. Removing the rules could theoretically open the door to compliant on-chain trading of tokenized United States equities.

However, this remains a medium-term structural adjustment rather than an immediate green light. The proposal still faces a lengthy comment process, and platforms would still need to register as exchanges or alternative trading systems, satisfy clearing obligations, and ensure token holders retain voting and dividend rights.

Traditional market groups also warn that removing the rules could reduce price transparency and fragment markets.

Operational Constraints of Public Blockchains

Even with favorable regulations, public blockchains present significant operational hurdles for institutional equity trading. Gas fee volatility remains a primary deterrent. A surge in retail activity can congest public networks and sharply increase transaction costs.

Institutions cannot risk large equity settlements being delayed or becoming more expensive because of unrelated retail traffic. Traditional finance requires deterministic execution.

A bank executing a large block trade needs certainty around cost and settlement timing. Institutional traders require millisecond precision and reliable finality. Public networks prioritize openness and censorship resistance over the predictable throughput global capital markets demand.

Maximal Extractable Value (MEV) presents another critical barrier. Public blockchains broadcast pending transactions in a public mempool before execution. Sophisticated actors deploy bots to scan this information and front-run large orders by manipulating transaction ordering.

Billions of dollars have been extracted through these practices in recent years. This directly conflicts with the fiduciary obligations of traditional brokers and institutional mandates requiring best execution. Financial institutions are unlikely to embrace a system that permits such extraction from client order flow.

Privacy, Compliance, and Control Requirements

Privacy and compliance requirements further strengthen the case against public ledgers. Traditional finance operates under strict Know Your Customer and Anti-Money Laundering regulations.

Public blockchains expose transaction data to everyone. Institutions cannot broadcast their strategic positioning or client holdings on a transparent ledger. Regulators also require the ability to freeze assets or reverse transactions under specific legal circumstances. Public blockchains generally resist these interventions, creating challenges when compliance frameworks require administrative control.

Private networks provide the logical solution. A private blockchain functions as a shared, cryptographically secure ledger maintained by a trusted group of regulated institutions.

This architecture delivers many of the benefits of distributed ledger technology without the unpredictability of public networks. Competitors cannot observe order flows, trade sizes, or account balances. Transactions remain confidential between authorized participants and regulators.

These networks can also streamline clearing and settlement by enabling institutions to transact directly with one another. This lowers costs, reduces counterparty risk, and supports continuous settlement. Enterprise networks further offer dedicated support and contractual service guarantees that public protocols do not provide.

Institutional Adoption Is Already Underway

Major financial institutions already recognize this reality. J.P. Morgan operates its Onyx platform for tokenized intraday repurchase agreement trades and payments. Goldman Sachs uses its Digital Asset Platform to issue and trade digital bonds and other institutional instruments.

HSBC’s Orion platform supports tokenized gold and digital bond issuance. These examples demonstrate that financial institutions view blockchain primarily as infrastructure for automation, synchronization, and efficiency within controlled environments.

The Direction of Tokenized Equities

Market participants continue to pursue the vision of trading major corporate shares on public decentralized exchanges. Yet the structural, regulatory, and operational realities of global finance point elsewhere.

The Securities and Exchange Commission may eventually adapt market rules for digital assets, but the infrastructure itself will remain largely in private hands.

Tokenized equities are far more likely to thrive on secure, permissioned networks designed for institutional performance and compliance than on fully public chains. The future of financial innovation is not public exposure. It is private, efficient infrastructure built to meet the demands of modern capital markets.

 

 

Source:

https://www.financemagnates.com/cryptocurrency/wall-street-may-embrace-tokenized-stocks-but-not-on-public-blockchains/

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

j j j

Binance’s CZ Sparks Debate: Should AI Projects Be Built on Layer 1 or Layer 2 Blockchains?

Binance’s CZ Sparks Debate: Should AI Projects Be Built on Layer 1 or Layer 2 Blockchains?

The broader discussion aligns with industry trends, where AI and blockchain convergence is becoming a focal point for developers and investors alike.

Where Should AI Live? CZ Fuels L1 vs. L2 Discussion

In a recent post on X (Twitter), CZ highlighted that the core purpose of such projects is not to develop a superior blockchain. Instead, it is to use blockchain technology to support AI economics.

He noted that while L1 provides greater sovereignty and decentralization, it also demands more effort in maintaining nodes and validators. In contrast, L2 networks offer convenience by leveraging existing ecosystems like Ethereum’s decentralized exchanges (DEXs), perpetual contracts, and tools without significant value leakage to the base layer.

“L1 vs L2…Does it matter if a new AI project is an L1 or an L2?… Is L1 cooler than L2 or the reverse? Old topic, but wondering if sentiment has changed or not,” CZ posed, welcoming conversation.

Crypto analyst Hitesh Malviya argues that L1 blockchain is the superior choice. The analyst advocates this network for projects seeking to establish their own consensus mechanisms, optimize performance, and reduce validator costs.

However, he also warns that despite extensive fundraising and user acquisition efforts, many L1 projects still experience retention drops of 70-90% after token generation events (TGE).

“…even if you retain users, you would only see one category or niche capturing the maximum traction onchain. So if the destination is already known—retention drop, higher user acquisition costs, and niche-specific demand capture—then why not build an app chain using an L2 stack,” Hitesh suggested.

Given these challenges, he suggests that building an AI-focused blockchain as an L2 app chain is a more practical approach. This would allow for faster development, marketing, and scalability.

Meanwhile, Walter from the BNB Chain Business Development team supports L2. He emphasized its accessibility to existing tools and infrastructure. His comment also hints at speculation regarding CZ’s possible attendance at an upcoming Crypto Summit at the White House.

AI & Blockchain: The Layer 1, Layer 2, and Layer 3 Debate

Investor and blockchain advisor Anndy Lian adds another dimension to the debate. In a subsequent comment on X, he argued that AI is most effectively deployed at Layer-3 (L3). He explains that while implementing AI on L1 is theoretically possible, it is impractical due to security and resource constraints.

“AI can be implemented on blockchain Layers 1, 2, or 3… In practice, Layer 3 is where AI is most effectively and frequently utilized, leveraging the blockchain’s strengths while accommodating AI’s computational needs,” Lian explained.

On L2, the blockchain advisor noted that AI can optimize scalability. However, AI is most frequently utilized in L3, enabling a diverse range of AI-powered applications while leveraging blockchain’s strengths.

Meanwhile, CZ discusses AI’s placement in the blockchain ecosystem amid growing interest in AI-integrated L2 networks. In June 2024, Binance Labs (now YZI Labs) invested in Zircuit, an AI-enhanced L2 network that utilizes zero-knowledge rollups to improve security.

This investment signals Binance’s strategic focus on AI-blockchain integration, potentially influencing CZ’s latest inquiry.

Ethereum co-founder Vitalik Buterin has also been actively discussing L1 and L2 scaling solutions. Last month, Buterin outlined a roadmap for scaling Ethereum’s L1 and L2 protocols in 2025. However, he also recently cautioned that certain L2 networks will likely fail due to weak economic models and poor execution.

These statements further fuel the debate on whether AI projects should build their sovereign chains or integrate with existing ecosystems.

Nevertheless, CZ’s timing in raising this question may suggest he is gauging market sentiment for a new AI blockchain initiative. Given Binance’s investment in AI-driven L2 solutions and the increasing interest in modular blockchain architectures, he could be testing the waters for future ventures.

The trade-offs between sovereignty, scalability, and accessibility will shape the future of AI-blockchain integration. This could make it essential for developers and investors to weigh their options carefully.

 

 

Source: https://beincrypto.com/ai-layer1-vs-layer2-cz-debate/

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

j j j

Binance Founder Ignites Hot Debate on Whether AI Projects Belong on L1 or L2 Blockchains

Binance Founder Ignites Hot Debate on Whether AI Projects Belong on L1 or L2 Blockchains

Binance founder Changpeng Zhao has reignited debate within the cryptocurrency community. The former CEO questioned whether artificial intelligence blockchain projects should be built on Layer 1 or Layer 2 networks.

Zhao, commonly known as CZ, posted on X (formerly Twitter) seeking industry perspectives. “L1 vs L2…Does it matter if a new AI project is an L1 or an L2?… Is L1 cooler than L2 or the reverse? Old topic, but wondering if sentiment has changed or not,” he wrote.

The discussion emerges as AI and blockchain convergence becomes a focal point for developers and investors. Industry participants are increasingly focused on finding the optimal architecture for these emerging technologies.

CZ emphasized that the primary goal isn’t developing superior blockchain technology. Rather, he noted, it’s using blockchain to support AI economics. His comments highlight the practical considerations facing project developers.

Blockchain Architecture Options

Layer 1 networks provide greater sovereignty and decentralization but require more maintenance work. These networks demand significant resources for node and validator operations. Many developers consider this additional control worthwhile despite the higher resource requirements.

Layer 2 solutions offer convenience by leveraging existing ecosystems like Ethereum’s exchanges and tools. This approach allows teams to build on established infrastructure without significant value leakage to the base layer. Development cycles can be substantially shorter with this approach.

Crypto analyst Hitesh Malviya favors Layer 1 for specific projects. He advocates this approach for teams seeking their own consensus mechanisms and reduced validator costs.

“Even if you retain users, you would only see one category or niche capturing the maximum traction onchain,” Malviya noted. He warned that many Layer 1 projects experience 70-90% user retention drops after token generation events.

Given these challenges, Malviya suggests building AI blockchains as Layer 2 app chains. This approach enables faster development and scalability. Walter from BNB Chain’s Business Development team similarly supports Layer 2 solutions for their accessibility to existing tools.

Expanding the Debate Between Two Layers

Blockchain advisor Anndy Lian introduced another perspective. He argued that AI is most effectively deployed at Layer 3. “AI can be implemented on blockchain Layers 1, 2, or 3… In practice, Layer 3 is where AI is most effectively and frequently utilized,” Lian explained. According to Lian, implementing AI on Layer 1 is theoretically possible but impractical. Security and resource constraints make it difficult to execute effectively. Layer 3 enables diverse AI-powered applications while leveraging blockchain’s fundamental strengths.

CZ’s timing may suggest strategic planning. Binance Labs invested in Zircuit in June 2024, an AI-enhanced Layer 2 network using zero-knowledge rollups. This investment signals Binance’s interest in AI-blockchain integration and may explain his current market research.

Ethereum co-founder Vitalik Buterin has also contributed to scaling discussions. Last month, he outlined a roadmap for scaling Ethereum’s protocols in 2025. Buterin recently cautioned that certain Layer 2 networks will likely fail due to weak economic models.

The debate continues to evolve among major industry players. Tradeoffs between sovereignty, scalability, and accessibility will shape future AI-blockchain integration. Developers and investors must carefully consider these factors for upcoming projects.

 

Source: https://yellow.com/news/binance-founder-ignites-hot-debate-on-whether-ai-projects-belong-on-l1-or-l2-blockchains

 

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

j j j