SUI price has increased over 50% in one week, and AI Data and order book trading are reshaping the Sui ecosystem structure.

According to Gate market data, the SUI price has risen from approximately $0.92 on May 5, 2026, to nearly $1.4 by May 10, a short five-day increase of over 50%. Compared to the previous longer period of oscillation around $1, this rally clearly features characteristics of structural capital re-entry, rather than just market sentiment-driven movement.

The current crypto market is refocusing on high-performance Layer 1s, but unlike the previous cycle that emphasized TPS alone, today’s market is paying more attention to on-chain financial services, AI data infrastructure, and institutional liquidity capabilities. Recently, Sui has been continuously advancing around Walrus, DeepBook, Mysticeti, and institutional products, gradually shifting from a “high-performance public chain” to a “financial and data infrastructure platform.” This trend also reflects that Layer 1 competition has begun to shift from pure execution efficiency to a comprehensive competition involving liquidity, data, and real financial scenarios.

Why has SUI recently become one of the leading mainstream Layer 1 assets in terms of gains?

The core reason for SUI’s recent surge is not just a single positive event, but the simultaneous emergence of multiple structural changes. Since May 2026, the Sui ecosystem has been strengthening in areas such as institutional products, AI Data, order book finance, and infrastructure positioning, prompting the market to reprice its long-term growth trajectory.

One of the most direct drivers is that after CME launched SUI Futures, SUI began entering institutional-configurable asset systems. Previously, market perception of Sui was mostly limited to “Move ecosystem public chain” or “Solana competitor,” but with the emergence of compliant derivatives and institutional trust products, the market is reassessing whether SUI has the potential to enter mainstream institutional asset pools.

Meanwhile, according to public data, over 100 million SUI tokens have recently entered the staking system, further reducing circulating supply. Currently, SUI’s overall staking ratio remains high, and with a relatively limited circulating supply, new capital inflows can amplify price volatility more easily. This has led to a situation where, during this rally, short positions are being liquidated while trend-following capital enters the market, pushing SUI’s short-term gains significantly higher than most mainstream altcoins.

More importantly, the market’s focus on Sui has shifted. Previously, funds paid more attention to its performance; now, the market is re-trading its “financial infrastructure” and “AI Data” capabilities. This indicates that Sui’s current rise is not just a rotation among public chains, but a structural change within its ecosystem.

Why has AI Data become a renewed market focus after Walrus’s expansion?

Walrus is one of the most discussed directions in the Sui ecosystem recently. Compared to traditional decentralized storage projects, Walrus emphasizes programmable data, blob storage, and AI data scenarios, bringing it into the narrative of AI infrastructure.

In the past, market attention on AI-related projects mainly focused on AI Agents and inference networks. But as on-chain AI demand increases, the market is re-focusing on data layers. AI systems require not only computing power but also large-scale data storage and retrieval capabilities. The emergence of Walrus enables Sui to establish a “layer of on-chain data infrastructure.”

Official sources have also continuously strengthened the connection between Walrus and the Sui Stack. This means Sui is expanding from merely an execution layer to a data infrastructure layer. The ecosystem structure has already begun to change; Sui is no longer just providing transaction execution but is trying to form a “chain, data, and liquidity” complete system.

This trend is significant because the AI infrastructure market is still in its early stages. Most Layer 1s remain at the conceptual cooperation level for AI, while Sui has already started building foundational structures around data, storage, and verifiable AI capabilities. The renewed market focus on Walrus essentially indicates that AI Data is becoming an important competitive direction for the next phase.

However, unlike many AI narrative projects, Sui’s current issue is not a lack of concepts but that real demand has not yet fully materialized. Currently, AI Data remains more in the infrastructure anticipation stage, with limited actual usage scale. This means Walrus offers more long-term valuation potential rather than short-term revenue capabilities.

What changes have occurred in on-chain order book trading after DeepBook’s reinforcement of shared liquidity?

Besides AI Data, DeepBook is another core direction driving recent structural changes in Sui.

In recent years, DeFi markets mainly relied on AMM models to form liquidity systems. But as on-chain trading volume expanded, issues such as slippage, high-frequency trading limitations, and capital efficiency began to surface. Meanwhile, order book trading has regained market attention, with Hyperliquid’s rapid growth further reinforcing this trend.

DeepBook is essentially Sui’s native order book infrastructure. Recently, its continuous strengthening of shared liquidity, margin capabilities, and on-chain matching mechanisms indicates Sui’s attempt to build a unified liquidity layer.

This change is important because order book models are more suitable for high-frequency and professional trading scenarios, and Sui’s low-latency architecture is well aligned with this direction. As the market begins to refocus on on-chain trading infrastructure, Sui is shifting from a “high-performance public chain” to a “financial execution network.”

User behavior is also shifting. Previously, on-chain trading was mostly concentrated on DEX swaps, but now some funds are re-focusing on order book depth, matching efficiency, and on-chain liquidity quality. This means DeFi competition is moving from “who can provide liquidity” to “who can offer more efficient trading markets.”

However, order book finance also introduces higher complexity. Recently, some margin functions in DeepBook were temporarily disabled due to risk issues, reflecting Sui’s entry into a more complex financial stage. As on-chain financial structures strengthen, security and risk control will become key variables.

Why is Mysticeti’s low-latency architecture beginning to support high-frequency trading and AI Agent scenarios?

Mysticeti is an important underlying upgrade direction repeatedly emphasized by Sui recently. Compared to the previous focus on TPS, Sui now emphasizes finality and low latency.

According to official disclosures, Mysticeti’s consensus mechanism further reduces transaction confirmation times. This indicates Sui is trying to address latency issues in real financial and real-time application scenarios.

The underlying demand behind this trend is industry needs changing. In the past, public chains mainly served simple transfers and swaps, but now:

• AI Agents require real-time execution
• High-frequency trading depends on rapid confirmation
• On-chain games need low-latency state synchronization

All these scenarios demand that public chains not only have high throughput but also lower latency.

The market is now re-pricing low-latency capabilities, marking a new phase in Layer 1 competition. Previously, TPS was the main marketing metric; now, funds pay more attention to real application adaptability.

Mysticeti’s importance lies in enabling Sui to develop high-frequency financial infrastructure. This is why recent market discussions have started to compare Sui with high-frequency trading ecosystems like Hyperliquid and Solana.

What new capital structures is SUI forming as institutional products continue to advance?

During SUI’s recent rally, institutionalization has been an important factor.

Besides CME Futures, Grayscale recently launched Walrus Trust and DeepBook-related products, indicating that institutions are beginning to focus on assets within the Sui ecosystem, not just SUI itself. Meanwhile, infrastructure firms like Fireblocks and Sygnum Bank are actively integrating with Sui.

This suggests Sui is forming new capital structures. Previously, SUI’s funds mainly came from the native crypto market, but now some capital is flowing from institutional allocations and long-term staking systems.

This trend will directly impact market liquidity, as institutional funds tend to prefer long-term holdings rather than short-term trading. As more SUI enters staking and institutional custody, the actual circulating supply will continue to decline.

The liquidity structure is changing, which is also a key reason for SUI’s rapid recent rise. The current market is not just experiencing incremental capital inflows; rather, the reduction in circulating chips amplifies price volatility.

However, institutionalization does not mean risk disappears. SUI still faces high FDV and unlocking pressures. If ecosystem growth cannot keep pace with valuation expansion, market volatility may still increase significantly.

Why, during Sui’s third anniversary, has the official emphasis shifted toward financial and data infrastructure?

In May 2026, Sui celebrated its third anniversary of mainnet launch. Compared to previous emphasis on performance and developer experience, the official focus this year has been markedly different.

Based on recent public activities and ecosystem showcases, the official has begun to more frequently emphasize:

• Financial infrastructure
• AI Data
• Payment networks
• Order book liquidity
• Verifiable AI

This indicates that Sui is shifting from a “general Layer 1” to a “vertical financial and data platform.”

Most new public chains historically follow a path of initial airdrops and ecosystem incentives to attract users, then gradually define a long-term positioning. But Sui has now explicitly clarified its core direction: building a differentiated capability around low latency, high-frequency finance, and data systems.

This structural change is critical because the Layer 1 market is already highly crowded, and relying solely on TPS and EVM compatibility is no longer sufficient for long-term competitiveness. Strengthening financial and data positioning aims to establish clearer ecosystem barriers.

Meanwhile, the market is also re-evaluating SUI’s long-term valuation logic. Previously, SUI was viewed more as a growth-oriented public chain asset; now, some funds are beginning to see it as a potential financial infrastructure network.

How do AI, payments, and on-chain finance expansion influence Sui’s ecosystem?

Currently, Sui’s ecosystem is characterized by multiple simultaneous expansion directions.

AI Data efforts, led by Walrus, continue to develop data layer capabilities; financial developments, such as DeepBook, are enhancing order book liquidity; and payment collaborations with stablecoins and payment networks are increasing.

This diversification means Sui is no longer relying on a single narrative for growth but is forming a multi-layered ecosystem.

In the past, many Layer 1s experienced growth stagnation after a single narrative phase. But Sui now simultaneously advances in:

• AI Infrastructure
• High-frequency trading
• Data layer
• Payment networks
• Institutional products

This indicates Sui is moving from “single public chain competition” to “comprehensive infrastructure competition.”

However, ecosystem expansion also risks resource dispersion. The core current challenge is that, although multiple directions are progressing, actual user base and revenue-generating capacity remain in early stages. The market is currently trading more on long-term structural expectations rather than mature cash flows.

Under what conditions might SUI’s ecosystem growth struggle to sustain market enthusiasm?

Despite recent sharp gains, several potential pressures remain.

First, SUI still faces token unlocking pressures. If ecosystem growth cannot absorb new circulating supply, volatility could increase again.

Second, AI Data and order book finance are highly competitive sectors. Ecosystems like Solana, Monad, Hyperliquid, and others are competing for high-frequency trading and AI infrastructure markets. While Sui has differentiated itself, long-term competition is ongoing.

Third, the market’s capital rotation within AI narratives is rapid. If AI-related hype cools, the valuation premium for Walrus could diminish.

More critically, Sui’s ecosystem is still in the “structural expansion” phase, not the “mature cash flow” stage. This means the market relies more on future growth expectations. If actual usage, TVL, or trading activity cannot continue to grow, the market may revert to consolidation.

Summary

SUI’s recent over 50% rise reflects more than just short-term capital inflows; it indicates a fundamental shift in the Sui ecosystem structure. With ongoing developments in Walrus, DeepBook, Mysticeti, and institutional products, Sui is transitioning from a “high-performance Layer 1” to a “financial and data infrastructure platform.” The market’s renewed focus on SUI essentially re-trades the narrative of “low-latency financial networks” and “AI Data infrastructure.” However, Sui remains in the early stages of ecosystem expansion, and whether genuine demand and long-term revenue growth can be sustained will determine if market enthusiasm can continue.

FAQ

Why did SUI recently surge over 50%?

Recent gains are driven by multiple factors, including institutional product progress, increased staking lock-up, DeepBook’s expansion of order book finance, and rising interest in Walrus’s AI Data narrative.

Why does Walrus influence SUI ecosystem enthusiasm?

Walrus is strengthening Sui’s data layer capabilities and entering the AI infrastructure narrative. The market is refocusing on AI Data and programmable storage, which also boosts Sui’s long-term valuation prospects.

How does DeepBook differ from traditional DEXs?

DeepBook is closer to an on-chain order book model rather than a traditional AMM swap structure. This model is more suitable for high-frequency trading, professional trading, and shared liquidity scenarios.

Why is Sui emphasizing low-latency capabilities now?

With the growth of AI Agents, high-frequency trading, and real-time applications, the market is paying more attention to transaction confirmation speed and finality, not just TPS.

What risks does SUI face after the rise?

Current risks include token unlocking pressures, cooling of AI narratives, intensified public chain competition, and security issues arising from increased complexity in on-chain financial structures.