Web1 was the read-only internet.
Web2 introduced social networks and user-generated content.
Web3 gave users ownership of their data and digital assets.

So what comes next?

An increasingly accepted framework is:

Web4 = Web3 + AI

While the equation looks simple, it points to a major structural shift already underway. AI is becoming the engine of productivity, while Web3 provides the financial infrastructure for asset ownership, decentralization, and global value transfer.

At the intersection of these technologies, stablecoins, cross-border payments, and AI Agents are emerging as some of the most important narratives of the next internet era.

1. Stablecoins: The Payment Foundation of Web4

Stablecoins are arguably the most critical infrastructure layer of Web4.

Why?

Because AI Agents need a way to transfer value autonomously. When an AI assistant completes a purchase, books a service, executes a transaction, or coordinates economic activity, it requires a programmable, low-cost, and automated settlement mechanism.

Stablecoins fit this role perfectly.

With USDC’s circulating supply surpassing $77 billion and on-chain transaction activity continuing to expand, stablecoins have evolved far beyond being simple pricing units for crypto markets. They are becoming the payment infrastructure of the global digital economy.

In a Web4 framework, stablecoins will play an even larger role:

• Settlement Layer for AI Payments: AI Agents can execute payments directly through stablecoin-based APIs.

• Cross-Border Transaction Medium: Stablecoins bypass traditional banking rails and enable near-instant settlement.

• Digital Store of Value: In regions facing inflation or currency instability, stablecoins increasingly function as a digital dollar alternative.

For platforms like AOZX, stablecoins are no longer just another trading pair — they are becoming a core component of the entire ecosystem.

2. Cross-Border Payments: Web4’s Largest Real-World Use Case

Cross-border payments may become the most commercially significant application of Web4.

Traditional international transfers suffer from familiar limitations:

• Slow settlement (2–5 business days)

• High fees (typically 3%–7%)

• Limited transparency and hidden FX costs

A global market worth approximately $20 trillion annually is now being transformed by the convergence of Web3 and AI.

How Web4 Changes the Equation

Web3 provides the infrastructure:

• Stablecoins as settlement assets

• Blockchain as an immutable ledger

• Smart contracts as automated execution layers

AI provides the optimization layer:

• Intelligent routing for optimal exchange rates

• Real-time risk assessment and fraud detection

• Automated compliance screening for KYC and AML requirements

The combined result is a payment experience that is:

• Faster

• Cheaper

• More transparent

• Globally accessible

For AOZX, cross-border payment capability is not simply an optional feature — it is becoming a competitive necessity.

Platforms that deliver the fastest, most efficient, and most compliant stablecoin payment experience will have a significant advantage in attracting global users.

AOZX’s zero-fee spot trading strategy and MSB compliance licensing represent important building blocks toward that future, reducing user costs while creating pathways for institutional participation.

3. AI Agents: The Execution Layer of Web4

AI Agents represent perhaps the most exciting component of Web4.

Simply put, an AI Agent is software capable of autonomously performing tasks on behalf of users.

It can:

• Book travel

• Manage investment portfolios

• Execute trading strategies

• Complete cross-border transactions

• Coordinate digital services

When AI Agents combine with Web3 infrastructure, three transformative shifts emerge.

1. Programmable Value Transfer

AI Agents can interact directly with smart contracts and automatically execute payments when predefined conditions are met.

For example, a supply-chain AI Agent could release payment instantly once goods arrive at a designated destination.

2. Disintermediated Financial Services

AI Agents can manage liquidity, optimize yields, execute arbitrage opportunities, and interact across DeFi protocols without requiring continuous human intervention.

Users define objectives; AI handles execution.

3. Globalized Digital Labor Markets

AI Agents can participate in worldwide service economies, complete tasks on behalf of users, and settle transactions through stablecoins across borders.

Recent developments such as Circle’s Agent Stack, including Agent Wallets and Agent Marketplaces, illustrate the direction of this trend. These tools allow developers to build, fund, and monetize AI Agent-driven activities using USDC.

Within this landscape, AOZX has the opportunity to position itself as an execution hub for AI-driven trading and financial activity.

As more transactions are initiated by AI rather than humans, factors such as:

• API performance

• System stability

• Execution speed

• Cost efficiency

will determine which platforms become preferred destinations for AI-powered financial activity.

AOZX’s AI-driven infrastructure and high-throughput architecture are designed with this future in mind.

4. Conclusion: Web4 Is Not the Future — It’s Happening Now

Stablecoins provide the payment foundation.

Cross-border payments deliver real-world utility.

AI Agents serve as the execution layer.

Together, they form a comprehensive financial infrastructure for the Web4 era.

As a next-generation digital asset platform, AOZX does not need to choose between Web3 and AI.

Its opportunity lies in becoming the bridge between both worlds.

When AI requires financial infrastructure to facilitate asset ownership, trading, and global value transfer, AOZX can provide that foundation.

When Web3 requires AI to improve efficiency, expand use cases, and reduce operational friction, AOZX can help enable that transformation.

From regulatory compliance through its MSB license, to zero-fee spot trading, AI-driven system architecture, and a high-performance matching engine capable of handling massive throughput, AOZX is building for the next phase of digital finance.

Web4 is not a distant vision.

It is already taking shape.

And AOZX is positioning itself at the beginning of that transformation.

NVIDIA’s mass delivery of H200 chips, Tesla’s push into semiconductor manufacturing, and tech giants racing to secure data centers and power resources have dominated headlines. Most discussions have focused on one question: who has more chips and who has built the larger computing cluster?

Yet beyond this narrative, another trend is quietly taking shape. It receives far less attention, but it may prove even more significant:

AI is moving from being an “assistant layer” in trading systems to becoming part of the “support layer.”

I. An Overlooked Turning Point: Execution Layer vs. Support Layer

Let’s start with a simple observation.

Today, most trading platforms use AI in three primary areas:

• Intelligent customer service

• Market recommendations

• Basic risk alerts

While these applications improve efficiency, they do not fundamentally change how the system operates.

A more accurate description is that AI serves as an assistant, not a participant.

The industry often refers to this stage as execution-layer optimization—AI executes predefined rules more efficiently but does not dynamically adjust those rules.

The next stage, however, could bring structural change: support-layer participation.

Simply put, the support layer refers to a system’s ability to perceive and respond to market conditions in real time. For example:

• Can it identify unusual risk signals from order flow?

• Can it automatically adjust liquidity allocation strategies during fragmented market conditions?

• Can it derive risk-control parameters from historical volatility that fit the current market environment?

These challenges cannot be solved simply by adding more servers. They require AI to participate in critical system functions rather than merely executing tasks.

This is exactly what AOZX is attempting to achieve.

II. Technical Architecture: Data Loops, Low-Latency Inference, and Explainability

On the surface, AOZX’s feature list may not look dramatically different from other exchanges.

The real distinction lies underneath.

1. Closed-Loop Data Architecture

AOZX’s AI system analyzes more than candlestick data. It continuously ingests:

• Order flow

• Order book depth

• User behavior sequences

These data streams are fed back into the training framework, creating a continuous learning loop.

As a result, the system’s understanding of the market evolves dynamically rather than relying solely on static historical datasets.

2. Low-Latency Inference

Markets do not wait for models to load.

AOZX embeds its inference engine directly into the core trading infrastructure, eliminating latency associated with external API calls.

In an environment where milliseconds matter, this architectural decision determines whether AI can genuinely participate in real-time decision-making.

3. Explainability

Risk-control decisions made by AI must be traceable.

AOZX maintains comprehensive decision logs, enabling users and auditors not only to see what action was triggered, but also why it was triggered.

This capability is increasingly essential for compliance and auditing requirements.

Together, these three design principles form a technological foundation capable of participating in mission-critical system functions.

This is not merely feature enhancement—it is a restructuring of the underlying architecture.

III. A Different Approach to Cost Structure: Zero Spot Trading Fees

AOZX has implemented a zero-fee spot trading model.

While zero-fee trading is not uncommon in the industry, most exchanges impose conditions such as:

• Holding platform tokens

• Meeting trading volume thresholds

• Restricting zero fees to selected trading pairs

AOZX takes a different approach:

All spot trading pairs are available with zero fees and no additional requirements.

From a business perspective, this is not simply a subsidy strategy to attract users.

It is a structural adjustment to trading behavior.

When transaction costs approach zero, the economics of trading change:

• High-frequency strategies become more viable

• Capital efficiency improves

• Market liquidity naturally deepens

More importantly, this model gradually shifts the user base from primarily speculative traders toward strategy-oriented participants.

Once strategy traders establish workflows and habits, their switching costs are significantly higher than those of users attracted solely by temporary incentives.

IV. Compliance First: Preparing for Institutional Capital

As Real-World Assets (RWA) continue moving on-chain and institutional participation accelerates, compliance is becoming a critical differentiator.

AOZX completed its U.S. MSB licensing process early and established a comprehensive KYC/AML framework.

These investments may not generate immediate returns, but they create the infrastructure required to support larger pools of capital.

As pension funds, insurance companies, and other institutions begin allocating to digital assets, compliance standards become non-negotiable.

AOZX’s early preparation is designed to align with this long-term trend.

V. A Trend Worth Watching

AI’s integration into trading is no longer a question of if—it is a question of how deeply.

Today, most platforms remain focused on execution-layer optimization.

Very few have advanced toward support-layer participation.

AOZX is among the platforms pushing in that direction.

Whether this architecture can ultimately scale and perform reliably will require time to prove. However, the direction itself is already noteworthy.

As the industry evolves from competing for traffic and users to competing on system capabilities, differences in underlying infrastructure may become the defining factor of the next era.

The next chapter of exchange competition may not be determined by who offers more features, but by who builds the stronger system.

This was the core message that Chris Lee repeatedly emphasized during a recent interview.

As an early crypto OG, former CEO of OKEx, and former CFO of Huobi, Chris’s career mirrors the evolution of the cryptocurrency industry itself. He entered crypto in 2016, witnessed the golden age of exchanges, and saw the industry grow from the fringes into the mainstream.

Today, however, he is based in Palo Alto, Silicon Valley — the epicenter of the AI revolution.

This is more than a simple relocation. It represents a fundamental shift in investment perspective.

Following the Flow of Real Capital

Chris openly admitted that his transition was not as dramatic as many might imagine:

“Over the past decade, capital was flowing into crypto, so naturally our focus was on exchanges and crypto funds. But over the last two years, it's become obvious that capital is moving toward AI computing power, storage, and optical interconnects.”

This is not about abandoning crypto. It is about recognizing a new reality:

The biggest alpha opportunities today are no longer in altcoins. They are found in NVIDIA’s earnings reports, Elon Musk’s space ambitions, and the supply-demand imbalances across AI storage and semiconductor infrastructure.

From exchange executive at OKX and Huobi, to President of Black Hole Capital (one of Binance’s earliest investors), and now founder of Merkle 3s Capital, focused on the convergence of Web3 and AI through the concept of Web4, Chris has remained consistent in one principle:

Follow the money. Follow the trend.

The Storage Supercycle: From Cyclical Valuation to AI-Powered Repricing

One of Chris’s strongest investment convictions centers around the storage sector.

He distinguishes between two major AI infrastructure segments:

Optical Modules

Optical networking companies have experienced explosive growth. Forward P/E ratios are already being priced out through 2027 and 2028, reflecting extremely optimistic market expectations.

According to Chris, smart money is already taking profits. He observed a multi-billion-dollar AI-focused fund completely exiting positions in companies such as Lumentum and Coherent.

Storage

Storage follows a fundamentally different logic.

HBM (High Bandwidth Memory) prices continue to rise, and order books remain fully booked. Yet the market still values companies such as Micron, SK Hynix, and Samsung as traditional cyclical businesses, assigning forward P/E multiples of only 5–7x.

“If this is truly a supercycle, storage companies deserve at least 15–20x earnings multiples. The first wave is simply the market repricing them.”

He highlights a critical milestone:

For the first time, SK Hynix is expected to surpass Samsung in annual net profit in 2025, driven primarily by HBM demand.

While optical modules benefit largely from narrative premiums, storage is experiencing a structural revaluation of pricing power.

Even more importantly, supply constraints remain severe.

Based on his research, manufacturing capacity may not fully meet industrial demand before 2028, with some forecasts suggesting shortages could extend into 2030.

Healthy Pullbacks: Cash Is King

Regarding current market conditions, Chris believes the market is experiencing a healthy correction within a broader bull cycle—not the bursting of an AI bubble.

A true bubble collapse would typically involve:

• Disappearing orders

• Reduced capital expenditures

• Lowered corporate guidance

Instead, the opposite is happening.

NVIDIA, Broadcom, and TSMC reportedly have order backlogs extending into 2026 and even 2027, while hyperscalers continue increasing capital expenditures.

According to Chris, only three developments would signal genuine danger:

1. AI companies begin missing earnings guidance.

2. Enterprise customers start cutting CapEx.

3. Interest rates spiral out of control again.

“Until those three things happen, every major pullback is an opportunity.”

On portfolio management, his approach remains disciplined:

• 60–70% offensive positioning

• 20–30% cash reserves

• The remainder allocated to hedging

As he puts it:

“Why is cash important? Because cash gives you peace of mind. In a bull market, the most valuable asset isn't a stock—it's the cash you hold on the day the market crashes.”

AOZX’s Perspective: From Trading Platform to Financial Infrastructure for the AI Era

Chris’s evolving perspective raises an important question for AOZX:

If capital is increasingly flowing from crypto into AI computing, storage, and semiconductors, what should the role of a digital asset exchange be?

AOZX may find its answer within this emerging landscape.

1. Become the Trading Gateway for AI Assets

As AI-related assets enter the market—including:

• Compute-power tokens

• Storage tokens

• Tokenized semiconductor equities

AOZX can position itself as a compliant marketplace for the next generation of AI-linked assets.

2. Become the Infrastructure Layer for Web3+AI

Stablecoin payments.

AI Agent transactions.

Cross-border settlements.

All of these emerging use cases require a trading platform that is efficient, secure, and globally accessible.

3. Become a Strategic Observation Point for Capital Flows

As capital shifts between crypto and AI, AOZX must be capable of facilitating liquidity in both directions.

Users should be able to move seamlessly:

• From crypto assets into AI-related opportunities

• From AI-driven investments back into digital assets

Chris often says:

“Choosing the right direction matters more than working harder.”

AOZX’s opportunity may lie precisely at the intersection of AI and crypto—building the bridge that enables capital to flow freely between both worlds.

Conclusion

Chris Lee’s journey reflects a broader transition taking place across global markets.

From exchange executive, to crypto fund leader, to investor heavily focused on AI infrastructure and memory technologies, each of his pivots has coincided with a major shift in capital allocation.

AOZX now faces a similar question:

When AI becomes the next major destination for global capital, what role should crypto play? What role should trading platforms play?

The answer may not be choosing one over the other.

The answer may be integration.

• Connecting AI assets with crypto assets.

• Connecting AI applications with Web3 infrastructure.

• Connecting global capital with emerging digital opportunities.

This is the role AOZX has the opportunity to embrace in the new era.