Hurun Report Interview with Justin Sun: New Paradigms of Value Circulation under the Web3 Transformation Cycle

marsbitPubblicato 2026-05-29Pubblicato ultima volta 2026-05-29

Introduzione

In a deep-dive interview with *Hurun Report*, Justin Sun, founder of TRON, outlines his vision for Web3's evolution from proof-of-concept to global adoption, emphasizing stablecoins as the cornerstone for building a new paradigm of value transfer. Sun defines the core mission as enabling low-cost, efficient global fund movement for anyone, anywhere, regardless of bank access. He argues that sustainable blockchain projects must be driven by genuine demand and usage, with stablecoin payments currently representing the most mature and scalable application. Citing TRON's position as a leading stablecoin network with over $86.3 billion in USDT circulation, he attributes this growth to real-world use in cross-border transfers, savings, and payments, viewing it as a "natural replacement" for traditional financial infrastructure's inefficiencies. On strategy, Sun advocates for a methodology combining data-driven iteration, rapid execution, and user-centricity. He highlights the pivotal decision to partner with Tether on TRC-20 USDT as a calculated move that capitalized on stablecoins' long-term trend and network effects. While Web3 is inherently global, Sun stresses the critical importance of local compliance and cultural adaptation for successful market entry. Looking ahead, Sun identifies the convergence of AI and blockchain as a key frontier. He sees AI as fundamentally reshaping thinking and decision-making, with blockchain providing decentralized infrastructure for AI, while ...

Against the backdrop of the Web3 industry entering deep waters and the accelerated restructuring of global financial infrastructure, blockchain is transitioning from early exploration to large-scale application. As an authoritative institution with extensive influence in the business and investment fields, an in-depth interview by the renowned magazine Hurun Report is regarded as a significant industry bellwether. Recently, in an exclusive interview with Hurun Report, Justin Sun, founder of TRON, systematically elaborated his judgments on industry evolution and long-term value around core issues such as stablecoin payments, globalization paths, and the AI integration trend. His perspectives also reflect the crucial phase where Web3 infrastructure is moving from "feasibility validation" to "global adoption."

Stablecoins Build a Global Value Circulation Network, Web3 Infrastructure Enters Scaling Phase

In the Hurun Report interview, Justin Sun succinctly summarized his long-term core objective: "To enable anyone in the world, regardless of location or bank account access, to transfer and use their funds with low cost and high efficiency." This statement fundamentally reveals the value essence of blockchain technology — building an open and inclusive Internet of Value.

He further pointed out that after experiencing multiple bull and bear cycles, projects capable of enduring cycles must be built on real demand and practical usage. The sustained growth in on-chain user scale and transaction volume is an important basis for his judgment on industry direction. Against this backdrop, the on-chain payment system with stablecoins at its core has become the most mature and scalable application scenario.

In the Hurun Report interview, Justin Sun mentioned that TRON has rapidly developed into one of the world's largest stablecoin circulation networks, with its on-chain asset transfer volume even surpassing that of some traditional payment networks. This growth is not driven by short-term market sentiment but by continuous usage from real users in scenarios like cross-border transfers, value storage, and daily payments. Official data shows that the circulating supply of USDT on the TRON network currently exceeds $86.3 billion, reflecting robust network effects driven by genuine user demand.

In terms of structural advantages, the scalability of stablecoin payments benefits from two factors: on one hand, blockchain networks possess openness and permissionless characteristics, enabling them to reach user groups inaccessible to traditional financial systems; on the other hand, limitations in efficiency, cost, and user experience within traditional cross-border payment systems provide significant substitution space for new-generation infrastructure. Sun believes this trend is essentially a "natural substitution" of existing financial systems by technological advancement, rather than short-term competition.

Globalization Strategy and Technological Integration Advance in Tandem, Building Long-Term Competitive Advantage for Web3

When discussing enterprise growth and strategic decision-making, Sun presented a highly systematic methodology in the Hurun Report interview. He summarized the success factors as the combination of "data-driven iteration, rapid execution, and user-centric orientation," emphasizing that in a rapidly changing technological environment, single-dimensional capabilities can hardly sustain long-term competitiveness; instead, efficient trial-and-error and precise decision-making must be achieved through the synergy of these three.

At the organizational level, he proposed a management framework of "clear direction, layered support, and a sense of ownership among all members" to prevent deviation and loss of control during rapid expansion. This organizational structure emphasizing flatness and agility is seen as an important foundation for Web3 enterprises to maintain competitiveness in a highly uncertain environment.

Regarding specific key strategic decisions, Sun reflected on the case of TRON's collaboration with Tether to launch TRC-20 USDT in the Hurun Report interview. He stated that this decision was based on a comprehensive judgment of market trends, competitive landscape, and risk-reward ratio: stablecoins represent a long-term trend in financial system evolution, leading assets exhibit significant network effects, and the upside potential in this field far outweighs potential risks. This partnership has proven to be a major growth engine for the TRON ecosystem and has constructed its core competitive moat in the stablecoin domain.

Regarding global expansion, Sun emphasized that while Web3 has inherent cross-border attributes, its actual implementation still heavily depends on local compliance and cultural adaptation. In the Hurun Report interview, he noted that different markets have significant differences in regulatory frameworks, user habits, and business environments, and a project's success often hinges on the depth of understanding these differences and the ability to build local partnership networks.

Furthermore, Sun expressed clear judgment regarding AI technology development. He stated in the interview that AI is not merely a tool upgrade but a reconstruction of "thinking and decision-making capabilities." Its integration with blockchain in areas like data, computing power, and intelligent execution will be an important direction for the next phase of technological evolution. Blockchain provides decentralized infrastructure for AI, while AI enhances the intelligence and user experience of blockchain systems; the fusion of the two possesses long-term strategic value.

Addressing industry participants and young entrepreneurs, the core advice Sun offered in the Hurun Report interview is: in a highly uncertain environment, continuous learning and rapid adaptation are the most crucial capabilities. Simultaneously, one should focus investments and build irreplaceable core strengths based on an understanding of the industry's overall picture, rather than dispersing resources across multiple tracks.

Transitioning from early-stage technical validation and market exploration, to the large-scale application phase represented by stablecoins, and extending towards AI integration and global compliant implementation. In this process, TRON is continuously advancing the realization and evolution of the Internet of Value through infrastructure capabilities, globalization strategy, and technological foresight.

Letture associate

Blocked Its Own Treasure, WeChat AI Steps Up

Tencent's stock surged over 10% on June 2nd amid reports that WeChat, with 1.43 billion monthly users, is finalizing tests for a native AI Agent. The reported feature, accessible by swiping right from the main interface, allows users to issue commands in natural language. The AI then decomposes tasks and automatically calls upon relevant Mini Programs within WeChat to complete actions like ordering food, booking tickets, or making payments, creating a closed-loop service execution system. This strategic shift follows the internal conflict and subsequent "blocking" of Tencent's standalone AI app, Yuanbao, by WeChat for violating sharing rules during a 2026 Spring Festival promotion. The incident highlighted a lack of internal consensus and exposed the weakness of competing in the standalone AI assistant arena against rivals like ByteDance's Doubao (345M MAU) and Alibaba's Qianwen. The new WeChat AI Agent aims to leverage WeChat's unique assets—its massive user base, standardized Mini Program APIs, WeChat Pay, and identity system—to move from simple content generation to actual task execution. Analysts note this changes the competitive landscape from model benchmarks to which AI can connect to more real-world services. However, success depends on key variables: the capability of Tencent's underlying Hunyuan model, managing massive inference costs, and redesigning incentives for Mini Program developers whose traffic might be bypassed. The move is seen as an attempt to keep user service intent within WeChat's ecosystem as AI begins to redefine how users access services.

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Blocked Its Own Treasure, WeChat AI Steps Up

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ByteDance Adopts Arm CPUs, Jensen Huang: So Sad I Didn't Buy Arm

**Summary:** At Computex 2026, Arm CEO Rene Haas announced that ByteDance and Oracle have adopted Arm's self-designed Arm AGI data center CPU. The company expects significant revenue growth from this product, projecting $20 billion in demand for the 2027/2028 fiscal years. Haas noted that restricting AI-capable CPUs from the US to China is nearly impossible due to their widespread applications. Arm's stock has surged dramatically this year, notably rising 16% after NVIDIA's Arm-based Vera CPU and RTX Spark announcements. A highlight was the informal, humorous on-stage conversation between Haas and NVIDIA CEO Jensen Huang. Huang joked about NVIDIA's failed attempt to acquire Arm and playfully lamented selling his Arm shares. Both executives showed a clear sense of camaraderie and shared regret over the missed merger. Key technical topics were discussed: 1. **AI PC Design:** Huang explained NVIDIA's RTX Spark superchip (with a 20-core Arm CPU) is designed for future AI agents that will autonomously run and use tools on PCs, blending local and cloud processing. 2. **Agent vs. OS:** Huang emphasized the operating system remains crucial, as AI agents rely on its APIs and tools to function. 3. **Growth Constraints:** He identified the shift to "useful AI" that generates profitable tokens as a primary driver for immense, almost limitless, computational demand. Haas outlined Arm's strategy across PC and data centers. For PCs, Arm collaborates with partners like NVIDIA and MediaTek, offering its compute subsystem (CSS) for custom SoCs. In data centers, its Arm AGI CPU (built on TSMC's 3nm process) has gained major partners including OpenAI, Meta, and now ByteDance and Oracle. Arm presented a multi-year roadmap for its in-house CPU line. The article concludes that while GPUs dominated the AI training race, the explosion of AI agents is shifting significant focus to CPUs for inference, state management, and tool orchestration. The industry is trending towards vertical integration, with companies like cloud providers designing chips and chip/IP firms offering full solutions, all competing to deliver more efficient computing per watt.

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ByteDance Adopts Arm CPUs, Jensen Huang: So Sad I Didn't Buy Arm

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New Wall Street Play: Yen Shorts Still Adding, But Japan Stocks Don't Rely on Carry Trade Unwinding

On June 3rd, USD/JPY hit 160.44, its highest level since July 2024, while the Nikkei 225 surged past 68,000 points. Contrary to popular narratives of an imminent "carry trade unwind" akin to August 2024, data reveals a more complex picture. Speculative net short positions in yen futures have actually increased, reaching -114,667 contracts by late May, suggesting traders are doubling down rather than retreating. Meanwhile, Japan's Finance Ministry conducted its largest-ever single-round FX intervention (11.73 trillion yen) in April-May but failed to hold the 160 yen line. The Nikkei's rally is not driven by carry trade dynamics. Foreign investors are aggressively buying Japanese stocks, with net purchases in 2026 running nearly 16 times higher than 2025 levels. This inflow is concentrated in AI and semiconductor-related stocks like SoftBank and Socionext, fueled by positive sector outlooks, rather than being a flight from unwinding yen shorts. Furthermore, the Nikkei has continued climbing despite the Bank of Japan's (BOJ) rate hikes to 0.75%. This disconnect exists because the current equity boom is fueled by AI-driven foreign investment, not reliant on cheap yen funding. However, this relationship remains fragile. Should the BOJ hike rates further (e.g., to 1.0%) while dollar weakness increases carry trade costs, the trajectories of the yen and Japanese stocks could reconverge, potentially triggering volatility.

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Broadcom's Q3 Guidance Misses Expectations by $12 Billion, After-Hours Trading Plummets Over 13%, AI Narrative "Cooling"?

On June 3, Broadcom released record Q2 FY26 results with revenue of $22.19B, up 48% YoY, and AI chip sales of $10.8B, up 143%. Adjusted EPS of $2.44 beat estimates. However, its Q3 AI semiconductor revenue guidance of $16B, while up over 200% YoY, fell roughly $1.2B (7%) short of analyst consensus expectations of $17.2B. This miss, coupled with slightly weaker-than-expected software revenue, triggered a severe market reaction. CEO Hock Tan maintained the FY26 AI revenue outlook of over $100B but did not raise it, disappointing investors who had priced in more robust growth. The stock plummeted over 13% in after-hours trading, erasing roughly $270B in market cap. The sell-off extended to peers like Marvell. A key concern for markets, particularly for Chinese optical module suppliers, was Tan's comment that the contribution of AI networking (e.g., Ethernet switches, optical interconnect chips) to AI revenue, currently near 40%, is expected to normalize to around 30% over time, signaling a potential peak in growth for that segment. Despite the guidance shortfall, Tan reiterated that AI demand remains "insatiable" and reaffirmed the long-term target of exceeding $100B in AI revenue by FY27. The reaction highlights the heightened sensitivity and premium valuation placed on AI-exposed stocks, where anything less than stellar guidance can prompt significant profit-taking. The broader question is whether this represents a cooling AI narrative or a correction in overstretched valuations.

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