From APENFT to AINFT, a paradigm shift from the "On-chain Art Hall" to the "Distributed AI Industry Foundation" has officially begun.
On October 9, APENFT, the largest NFT platform in the TRON ecosystem, officially announced a strategic upgrade of its brand, renaming itself "AINFT," and simultaneously released its latest strategic direction: shifting from focusing on NFT trading to fully engaging in the construction of crypto AI infrastructure.
This upgrade is not merely a change of brand name. AINFT will center on the "deep integration of AI and blockchain," focusing on building the AI infrastructure and AI Agent (Artificial Intelligence Agent) innovative application framework within the TRON ecosystem.
The transition from APENFT to AINFT marks the official start of a paradigm shift from the "On-chain Art Hall" to the "Distributed AI Industry Foundation." This is not only AINFT's accurate judgment and practical implementation of the AI + Web3 integration trend but also a key move in TRON's strategic layout in the "AI + Crypto" field.
The Paradigm Revolution of APENFT Upgrading to AINFT: A Glamorous Turn from "NFT Trading Platform" to "Crypto AI Infrastructure"
AINFT's strategic transformation is not a castle in the air but is rooted in the solid strength APENFT has accumulated in the NFT field over the past five years: a user base of millions, a mature digital asset rights confirmation system, and market-validated on-chain operational experience. These accumulations will provide a solid foundation for AINFT's upgrade to AI infrastructure.
Since its launch in 2021, APENFT has always centered on "redefining art and digital collectibles through blockchain technology," building a full-chain ecosystem covering digital asset issuance, rights confirmation, trading, and incubation. Its core product, APENFT Marketplace, is the largest NFT trading market in the TRON ecosystem, supporting the circulation of over 2 million on-chain NFT assets, with a cumulative trading volume exceeding ten million dollars, and remains the preferred and most active NFT trading platform for TRON users.
In art collection, APENFT has established a heavyweight collection system that spans traditional classics and crypto art, covering top works from Picasso's "Nude Woman with Necklace," Andy Warhol's "Three Self-Portraits," to Beeple's "Ocean's Front," algorithmic artist Pak's "Cube," and Maurizio Cattelan's banana installation "Comedian," with an overall valuation exceeding 200 million RMB. This has not only enriched the brand's cultural capital but will also provide a reference paradigm for the "rights confirmation and pricing" of AI-generated content.
In terms of technological innovation, APENFT continues to break through. By constantly expanding its business boundaries, APENFT has long since stepped out of the single NFT trading platform category, evolving into a digital asset ecosystem covering multiple scenarios. In addition to its core NFT trading (APENFT Marketplace), APENFT has also ventured into GameFi (on-chain game asset issuance and circulation), inscription asset deployment and trading (TRONscription), NFT fair issuance, and fragmented liquidity (NFTPump), forming a full-chain service capability for digital asset "issuance - rights confirmation - circulation - value enhancement."
Now, APENFT has officially launched a comprehensive upgrade and transformation, with the new brand AINFT focusing on the construction of crypto AI infrastructure.
AINFT Opens a New Paradigm of AI + Web3 Integration
Despite its remarkable achievements in the NFT field, the APENFT team has not stopped there. With keen insight, they have recognized that under the wave of AI technology, traditional NFT architecture has multiple limitations.
Traditional NFTs exhibit obvious "static" characteristics, existing merely as "proof of ownership" and "rights confirmation tools," lacking interactivity and self-evolution capabilities. In the AI era, the demand for dynamic interaction is increasingly strong, while traditional NFTs have clearly become disconnected from this need. It is foreseeable that future digital assets should not be limited to "proof of ownership" but should evolve into AI Agent intelligent entities with interactive, learning, and creative capabilities.
At the same time, the problems of AI and blockchain each "fighting alone" have become apparent. AI faces the dilemmas of "data black box" and "unfair value distribution," with opaque data usage and uneven value distribution; blockchain, on the other hand, lacks "intelligent decision-making" capabilities, making it difficult to cope with complex scenarios. These pain points are the core reasons for APENFT's upgrade to AINFT.
AI and blockchain have a natural complementary relationship, providing direction for breaking the deadlock. The core advantage of Web3 lies in its decentralized blockchain architecture, which, relying on token economics, smart contracts, and distributed technology, can not only precisely define data ownership but also enhance the efficiency of business models through token incentive mechanisms. This is key to solving the AI industry's "data opacity and vague value distribution" pain points. Conversely, AI technology can enhance the user experience of crypto products and strengthen various product performances, such as using AI to automatically detect code vulnerabilities in Web3 projects or employing AI Agents for automated management of crypto assets.
By accurately perceiving the deep complementary value of AI and blockchain, the APENFT team decisively pushed forward the strategic evolution: fully transitioning from an NFT trading platform to the construction of crypto AI infrastructure, firmly believing that the integration of AI and blockchain will give rise to a new AI Agent intelligent ecosystem with self-evolution capabilities.
The strategic leap from APENFT to AINFT is a precise grasp and proactive response to technological trends and core user needs. It no longer limits itself to the single function of proof of ownership of NFT digital assets but focuses on creating a new AI Agent crypto AI ecosystem with autonomous interaction and learning capabilities to meet the new demands of the times.
The emergence of multimodal systems like Sora, which support the transformation of text into context-rich videos, marks that AI has broken through the limitations of text-based unimodal systems. AINFT is committed to integrating external multimodal models like Sora into its decentralized AI ecosystem, incorporating high-end generative capabilities into AINFT AI Agent intelligent agents, enabling AI Agents to interpret unstructured data, simulate complex scenarios, and autonomously generate verifiable NFT digital assets and experiences, achieving the creation, tokenization, and monetization of AI Agents in an on-chain environment.
TRON founder Justin Sun publicly stated earlier this year that AI Agents will become an important trend in the future. These intelligent programs capable of autonomously executing tasks are expected to play a key role in crypto asset management, trading decisions, and even DAO governance.
By deeply integrating the "trustworthy foundation" of blockchain with the "intelligent vitality" of AI, AINFT aims to create a new generation of crypto AI digital ecosystem. In this ecosystem, crypto AI applications can efficiently handle complex cognitive tasks, such as dynamic market analysis and multi-scenario decision-making, while ensuring fair value distribution, pushing crypto digital assets from "static proof of ownership" to a new era of "dynamic AI Agents."
Building the Core AI Infrastructure of the TRON Ecosystem
AINFT is committed to becoming the "core AI infrastructure + AI Agent innovative application framework" of the TRON ecosystem, supporting the large-scale deployment, model training, and asset issuance of AI Agents, ultimately constructing a new generation of crypto AI new economy ecosystem where AI Agents operate autonomously, data rights are clear, and the economic system is self-circulating.
This goal is not a simple overlay of technology but is achieved through "bilateral empowerment" to realize the deep integration of AI and blockchain. On one hand, it utilizes blockchain technology to solve issues of data trustworthiness, computing power monopoly, and profit distribution in the AI industry; on the other hand, it enhances the security, usability, and automation level of blockchain through AI, truly releasing the integrated value of "intelligent + trustworthy."
To address the pain points of data untrustworthiness, computing power monopoly, and unfair profit distribution in the AI industry, AINFT will build a decentralized market for data, computing power, and models based on TRON, returning the dominance of AI to the community and creating an inclusive and shared AI economic ecosystem. Whether data contributors, computing power providers, algorithm developers, or model users, all can fairly share the value created by AI based on their contributions. At the same time, by introducing AI technology, it will achieve on-chain security real-time monitoring, automatic auditing of smart contracts, and one-click execution of complex on-chain tasks using AI Agents, significantly lowering the user entry barrier.
This integration of "AI + Web3" will also promote the TRON ecosystem from "value transfer" to "intelligent services." To realize this vision, AINFT has planned four core product lines:
● AINFT Agent Framework (AI Agent Multifunctional Framework Toolbox): Provides developers with an AI Agent development framework, supporting the rapid construction of AI Agent multi-agent collaborative applications.
● AINFT Nova (AI Agent Issuance Platform): Supports users in creating AI Agents and accompanying tokens with one click, integrating them into mainstream social platforms like Twitter.
● AINFT AgenTX (AI-driven DeFi Trading Framework): An AI trading infrastructure framework for DeFi, providing intelligent asset management solutions.
● AINFT Grid (Decentralized AI Model Training Platform): Supports model training through a distributed computing power network, distributing token rewards based on contributions.
These four business segments support and collaborate with each other, collectively forming a full-stack AI infrastructure that covers AI Agent from underlying development framework to application creation, financial empowerment, and distributed AI model training.
In terms of the token economic model, AINFT will continue to use the original native token NFT as the only governance token of the ecosystem, which means that the application scenarios of the NFT token will see significant expansion, extending from the original NFT ecosystem to AINFT's AI Agent invocation, model training payments, computing power contribution rewards, etc., with its liquidity and functional value significantly enhanced.
In terms of product positioning, AINFT aims to become a Web3-native, privacy-first AI aggregation gateway. Unlike mainstream AI aggregation applications like Poe or Perplexity, AINFT does not directly participate in the mass market competition but focuses on opening new tracks and building a bridge connecting Web3 with cutting-edge AI services.
As the core AI infrastructure of the TRON ecosystem, AINFT will comprehensively accelerate the intelligent process of the TRON ecosystem. With the large-scale deployment of AI Agents, TRON will not only become an ideal environment for AI Agent operations but will also significantly enhance the intelligence level of its core ecosystem, such as DeFi, through deep integration with AI technology. This means that TRON has taken a significant step in upgrading from a "value transfer network" to an "AI intelligent value network."
This is not only a deep integration of AI and Web3 technologies but also a structural upgrade towards the next generation of the digital economy. With the deployment of AI Agents and the economic prosperity of the model ecosystem, AINFT is expected to become an industry benchmark for the integration of "AI + Web3," leading the crypto AI world into a new era of greater openness, intelligence, and co-governance.
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