Penerbitan USDT di Jaringan TRON Melampaui Ethereum, Kembali Jadi Jaringan Penerbit USDT Terbesar di Dunia

marsbitPublished on 2026-08-13Last updated on 2026-08-13

Abstract

Menurut data resmi Tether, per 13 Agustus 2026, jumlah penerbitan USDT di jaringan TRON telah mencapai $91,2 miliar, melampaui penerbitan di jaringan Ethereum ($90,3 miliar), dan kembali menduduki posisi teratas di antara semua jaringan blockchain. Ini menegaskan dominasi TRON dalam ekosistem stablecoin dan daya tariknya sebagai jaringan penyelesaian berbiaya rendah dan efisien. Pertumbuhan USDT di TRON didorong oleh kebutuhan penggunaan nyata. Jaringan ini mencatat sekitar 3,2 juta akun aktif harian rata-rata pada Q1 2026. Dalam transfer USDT ritel (di bawah $1.000), TRON menguasai sekitar 50% pangsa pasar, memperkuat posisinya untuk penyelesaian ritel dan menengah. Pada kuartal yang sama, volume transfer USDT di TRON mencapai sekitar $2,04 triliun, dengan total kumulatif tahunan sekitar $4,2 triliun tertinggi di semua *public chain*. Infrastruktur TRON untuk stablecoin terus diperkuat melalui integrasi yang luas di dompet, bursa, dan protokol DeFi, serta mekanisme seperti GasFree untuk meningkatkan pengalaman pengguna. Dari sisi keamanan, unit gabungan T3 FCU (TRON, Tether, TRM Labs) telah membekukan aset ilegal senilai lebih dari $450 juta di 23 yurisdiksi, menunjukkan kolaborasi efektif untuk memerangi kejahatan keuangan. Sambil mempertahankan kepemimpinan dalam penyelesaian stablecoin, TRON juga berekspansi ke sektor kecerdasan artifisial (AI) dengan meluncurkan platform **B.AI**, yang bertujuan menjadi infrastruktur keuangan dasar untuk era *AI Agent*, menandai evolu...

Menurut data resmi Tether, per tanggal 13 Agustus 2026, jaringan TRON kembali menerbitkan USDT senilai 10 miliar dolar AS, mencapai total 91,2 miliar dolar AS. Volume penerbitan ini sekali lagi melampaui volume penerbitan USDT di jaringan Ethereum (90,3 miliar dolar AS), menempati posisi teratas di antara semua jaringan blockchain. Titik sejarah ini menandai konsolidasi lebih lanjut dominasi TRON di bidang stablecoin, sekaligus membuktikan kembali daya tarik berkelanjutan jaringan penyelesaian berbiaya rendah dan efisien terhadap pergerakan modal stablecoin global.

Dari Aset Transaksi ke Alat Penyelesaian, Skenario Penggunaan TRC20-USDT Terus Meluas

Pertumbuhan USDT di jaringan TRON, pertama-tama, berasal dari kebutuhan penggunaan nyata yang berkelanjutan. Hingga Agustus 2026, volume penerbitan TRC20-USDT di jaringan TRON secara resmi menembus 91,2 miliar dolar AS, memecahkan rekor sejarah, dengan penerbitan kumulatif sekitar 10 miliar keping sepanjang tahun, dan jumlah akun pemegang telah mencapai sekitar 75,47 juta. Skala ini membuat TRON dalam jangka panjang menanggung sekitar setengah dari total penerbitan USDT global, dengan porsi sekitar 50%.

Dari struktur penggunaan, sifat pembayaran nyata TRON semakin jelas. Data CoinDesk Research menunjukkan bahwa pada kuartal pertama 2026, rata-rata kuartal akun aktif harian TRON naik menjadi sekitar 3,2 juta, mencapai rekor tertinggi kuartalan. Sementara itu, dalam transfer USDT ritel di bawah 1.000 dolar AS, pangsa TRON sekitar 50%, dan tetap mendominasi di rentang 1.000 hingga 10.000 dolar AS, terus mengonsolidasikan posisinya sebagai blockchain publik 'ramah' untuk penyelesaian ritel dan jumlah menengah. Ini berarti salah satu penggunaan utama USDT di TRON tetap menjadi transfer nilai aktual antar dompet.

Dari pengamatan periode yang lebih panjang, skala transfer dan penyelesaian on-chain membuktikan penilaian ini. Laporan penelitian yang dirilis Messari menunjukkan bahwa pada kuartal pertama 2026, volume transfer USDT yang diproses jaringan TRON mencapai sekitar 2,04 triliun dolar AS, dengan total sekitar 950 juta transaksi di seluruh jaringan. Transaksi harian rata-rata meningkat dari sekitar 10,2 juta pada kuartal sebelumnya menjadi sekitar 10,9 juta, juga memecahkan rekor kuartalan. Sejak awal 2026, TRON memimpin semua blockchain publik dengan volume transfer USDT tahunan sekitar 4,2 triliun dolar AS.

Ini menggambarkan bukan sekadar pembukuan internal satu platform perdagangan, melainkan skenario di mana sejumlah besar dompet menyelesaikan transfer nilai secara langsung di blockchain publik.

Secara spesifik, seorang pekerja di luar negeri dapat mengirim USDT ke dompet keluarganya, untuk kemudian ditukar menjadi mata uang lokal oleh penerima; pedagang e-niaga lintas batas dapat menggunakan USDT untuk menyelesaikan pembayaran kepada pemasok, mengurangi dampak jam operasional bank dan proses bank perantara; pekerja lepas dapat menerima pembayaran dari klien luar negeri dan dikonfirmasi masuk ke akun on-chain dalam hitungan menit; penyedia layanan aset digital dapat mengalokasikan likuiditas antar bursa, dompet kustodian, dan akun market maker. Jumlah dan tujuan dari berbagai kasus ini berbeda, tetapi kebutuhan bersama adalah konfirmasi cepat, biaya transparan, dan operasional 24/7.

Selain itu, stabilitas biaya menjadi sangat penting dalam lingkungan pasar dengan fluktuasi biaya jaringan yang tajam. Sejak Agustus 2025, ketika TRON melalui proposal tata kelola No. 104 menurunkan harga unit energi sekitar 60%, biaya transfer on-chain semakin turun.

Akses Ekosistem dan Kolaborasi Keamanan Berjalan Beriringan, Infrastruktur Stablecoin Terus Disempurnakan

Apakah jaringan stablecoin dapat berkembang jangka panjang tidak hanya bergantung pada volume penerbitan, tetapi juga pada cakupan pintu masuk, kedalaman likuiditas, dukungan pengembang, dan kemampuan tata kelola risiko. TRON sedang membangun infrastruktur dari beberapa arah ini secara bersamaan.

Dalam hal pintu masuk aplikasi, dukungan luas dari dompet, platform perdagangan, penyedia layanan pembayaran, dan protokol DeFi terhadap TRC20-USDT memungkinkan pengguna untuk melakukan deposit, penarikan, transfer, penukaran, dan interaksi on-chain dengan relatif mudah. Dengan bergabungnya stablecoin baru seperti USDD ke ekosistem TRON, jenis aset stablecoin semakin diperkaya; protokol seperti JustLend DAO memperluas penggunaan stablecoin ke skenario jaminan dan pinjaman. Stablecoin secara bertahap beralih dari alat transfer tunggal menjadi aset dasar untuk aktivitas keuangan on-chain.

Dalam hal pengalaman pengguna, mekanisme seperti GasFree berupaya menyelesaikan satu titik nyeri umum: meskipun dompet pengguna baru memegang USDT, mereka mungkin tidak dapat memulai transaksi karena tidak memiliki token asli. Dengan mendukung pembayaran biaya jaringan terkait menggunakan stablecoin, solusi semacam ini membantu menyederhanakan proses penggunaan pertama. Bagi pedagang, dompet, dan aplikasi pembayaran, mengurangi kebutuhan pengguna untuk memahami bandwidth, energi, dan token Gas asli juga menguntungkan untuk masuknya layanan stablecoin ke skenario konsumen yang lebih luas.

Yang lebih penting, perluasan skala perlu berjalan seiring dengan peningkatan kemampuan tata kelola keamanan. Pada September 2024, TRON, Tether, dan TRM Labs bersama-sama mendirikan Unit Pemberantasan Kejahatan Keuangan T3 (T3 Financial Crime Unit, disingkat T3 FCU), yang menggabungkan visibilitas jaringan TRON, kemampuan intelijen on-chain TRM Labs, dan kemampuan pembekuan penerbit Tether, serta berkolaborasi langsung dengan lembaga penegak hukum di berbagai wilayah. Alur kerjanya yang khas adalah: setelah lembaga penegak hukum mengidentifikasi dompet yang terkait dengan aktivitas ilegal, TRM Labs melacak jalur dana, TRON memberikan informasi pergerakan dana di tingkat jaringan, dan Tether melaksanakan pembekuan di tingkat penerbit.

Hingga Mei 2026, T3 FCU mengumumkan telah membekukan aset ilegal senilai lebih dari 450 juta dolar AS secara global, mencakup 23 yurisdiksi di lima benua. TRM Labs mengungkapkan bahwa mekanisme ini dapat menyelesaikan penanganan terkait dalam waktu 24 jam setelah menerima permintaan penegak hukum. Hasil di atas menunjukkan bahwa kombinasi transparansi blockchain publik dan model kolaborasi publik-swasta dapat meningkatkan efisiensi identifikasi dan respons terhadap dana mencurigakan.

Sementara terus memimpin di bidang penyelesaian stablecoin, TRON semakin mempercepat taruhannya pada jalur baru kecerdasan buatan (AI). B.AI (nama merek bahasa Indonesia "Bai B.AI"), yang diluncurkan secara resmi pada April tahun ini, diposisikan sebagai "infrastruktur keuangan dasar di era AI Agent". Langkah ini selaras dengan kedalaman stablecoin TRON yang kuat serta keunggulan pembayaran frekuensi tinggi dan biaya rendah, menandakan bahwa TRON sedang bergerak lebih lanjut dari "jaringan penyelesaian stablecoin terbesar di dunia" menuju "infrastruktur dasar ekonomi agen AI cerdas", dengan tegas menaruh perhatian pada tren jangka panjang konvergensi AI dan Web3.

Dari keunggulan skala penerbitan, keunggulan pembayaran dan penyelesaian yang terus berkembang, mekanisme keamanan yang semakin disempurnakan, hingga tata letak aktif di bidang AI, daya saing USDT on-chain TRON sedang bergerak dari "akumulasi kuantitas" menuju "peningkatan kualitas".

TRON akan terus mengoptimalkan kinerja jaringan dan pengalaman pengguna seputar infrastruktur stablecoin, memperdalam kolaborasi dengan penerbit, dompet, institusi pembayaran, dan lembaga analisis keamanan, untuk menyediakan layanan sirkulasi nilai digital yang lebih efisien, aman, dan inklusif bagi pengguna global.

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Related Questions

QMenurut data resmi Tether, berapa total jumlah penerbitan USDT di jaringan TRON per 13 Agustus 2026 dan bagaimana perbandingannya dengan Ethereum?

APer 13 Agustus 2026, total penerbitan USDT di jaringan TRON mencapai 91,2 miliar dolar AS. Jumlah ini melampaui penerbitan USDT di jaringan Ethereum yang sebesar 90,3 miliar dolar AS, sehingga menempatkan TRON di posisi teratas.

QApa yang menyebabkan pertumbuhan signifikan USDT di jaringan TRON menurut artikel tersebut?

APertumbuhan signifikan USDT di jaringan TRON terutama berasal dari permintaan penggunaan nyata dan berkelanjutan. Hal ini didukung oleh atribut pembayaran riil TRON yang semakin jelas, seperti banyaknya transfer nilai langsung antar dompet untuk keperluan seperti pengiriman uang lintas batas, pembayaran perdagangan, dan penyelesaian bisnis lainnya yang membutuhkan konfirmasi cepat dan biaya rendah.

QMekanisme apa yang disebutkan dalam artikel untuk membantu pengguna baru yang memegang USDT tetapi tidak memiliki token asli untuk membayar biaya transaksi?

AArtikel menyebutkan mekanisme seperti GasFree yang mencoba mengatasi masalah ini. Mekanisme ini mendukung pembayaran biaya jaringan terkait menggunakan stablecoin (seperti USDT itu sendiri), sehingga menyederhanakan proses penggunaan pertama bagi pengguna baru.

QApa peran dan pencapaian dari T3 Financial Crime Unit (T3 FCU) yang disebutkan dalam teks?

AT3 FCU adalah unit gabungan yang dibentuk oleh TRON, Tether, dan TRM Labs untuk memerangi kejahatan keuangan. Perannya menggabungkan visibilitas jaringan TRON, kemampuan intelijen rantai TRM Labs, dan kemampuan pembekuan penerbit Tether, serta berkolaborasi langsung dengan lembaga penegak hukum di berbagai wilayah. Hingga Mei 2026, T3 FCU telah membekukan aset ilegal senilai lebih dari 450 juta dolar AS yang mencakup 23 yurisdiksi di lima benua.

QSelain sebagai jaringan penyelesaian stablecoin terbesar, ke bidang baru apa TRON dikatakan sedang berinvestasi dan mempercepat perkembangan?

ATRON sedang berinvestasi dan mempercepat perkembangan di bidang kecerdasan buatan (AI). Ini ditandai dengan peluncuran B.AI (nama merek Cina '白 B.AI') pada April tahun ini, yang diposisikan sebagai 'infrastruktur keuangan dasar di era AI Agent'. Ini menandakan transisi TRON menuju 'infrastruktur dasar untuk ekonomi agen cerdas AI'.

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This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

1.0k Total ViewsPublished 2025.01.14Updated 2025.01.14

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