AINFT New Narrative: Building the Core AI Infrastructure of TRON, Creating a New Ecosystem for the Crypto AI Economy

When the "intelligent productivity" of AI meets the "decentralized economic system" of Web3, the digital world will witness another paradigm shift following the mobile internet. On October 9, the leading NFT platform in the TRON ecosystem, APENFT, officially launched its new brand identity "AINFT," completing a crucial transition from an "NFT trading platform" to a "crypto AI infrastructure."

In the newly released white paper, AINFT systematically proposes the vision of "AI + Web3" integration: aiming to build a new AI Agent intelligent ecosystem with autonomous evolution capabilities through the deep integration of AI and blockchain. AINFT's goal is to become the cornerstone of the next generation of the internet, establishing the AI infrastructure and AI Agent innovation center for the TRON network, creating a smart, trustworthy, and autonomous future digital ecosystem.

This transformation is not only a brand upgrade but also carries dual significance of strategic continuity and positioning in the competitive landscape. AINFT will fully leverage the user base, asset verification capabilities, and successful on-chain operational experience accumulated by APENFT in the NFT field, providing a solid ecological foundation for the deep integration of AI and Web3. Amid the wave of AI technology, AINFT precisely targets the "AI + Web3" integration trend, which is expected to accelerate the intelligent transformation of the TRON ecosystem and open a new chapter in the decentralized AI economy.

AINFT Vision: Building the Core AI Infrastructure of the TRON Ecosystem to Solve the "Solo Combat" Dilemma of AI and Blockchain

AINFT is committed to becoming the core AI infrastructure and AI Agent application framework innovation center within the TRON ecosystem, supporting large-scale deployment, model training, and asset issuance of AI Agents, ultimately constructing a new generation of crypto AI economy ecosystem where AI Agents operate autonomously, data rights and responsibilities are clear, and the economic system is self-circulating, breaking through the current limitations of "solo combat" between AI and Web3.

Although both AI and Web3 are cutting-edge technologies, their separate battles hinder the release of synergistic value. While blockchain can achieve "trusted value transfer," it lacks intelligent decision-making and complex interaction capabilities; on-chain smart contracts can only execute predetermined scripts mechanically, making it difficult to respond to dynamic scenarios such as real-time market fluctuations. Conversely, while AI possesses powerful cognitive and generative capabilities, it is trapped in the "centralized black box" dilemma—data sovereignty is hard to discern, value distribution is unfair, and technological dividends are monopolized by a few giants.

With the explosion of large models and AI Agents, market demand for crypto digital assets has shifted from "static proof of ownership" to "dynamic value creation." However, traditional static NFTs can only serve as ownership certificates or lie in wallets waiting for transactions, failing to operate social accounts autonomously or optimize DeFi strategies in real-time, which no longer meets the demands of the intelligent era where "interaction is productivity." As stated in the AINFT white paper: future digital assets should not only be "proof of ownership" but also intelligent entities with interaction, learning, and creative capabilities.

The deep integration of AI and Web3 is key to solving this dilemma. The two are naturally complementary at the levels of productivity and production relations: Web3 addresses data transparency and benefit distribution issues for AI through decentralized architecture and token economic systems; AI enhances the usability and intelligence of blockchain with real-time decision-making and automation capabilities.

Based on this understanding, APENFT has upgraded to AINFT, promoting the evolution from static NFT digital collectibles to an "interactive, evolvable, and profitable" AI Agent ecosystem. AINFT firmly believes that when AI's creativity combines with blockchain's fairness, it will give rise to a user-led, intelligence-driven, and value-sharing new digital world.

The emergence of multimodal models like Sora, which can transform text into context-rich videos, signifies that AI has broken through the limitations of text-based unimodal capabilities. AINFT plans to integrate external multimodal models such as Sora into its decentralized AI ecosystem, injecting high-end AI generative capabilities into AINFT AI Agents—enabling AI Agents to interpret unstructured data, simulate complex scenarios, and autonomously generate verifiable NFT digital assets and experiences, ultimately achieving the creation, tokenization, and monetization of AI Agents on-chain.

In terms of specific implementation paths, AINFT does not simply overlay AI and blockchain technologies but achieves precise positioning and value closure through "dual empowerment," specifically reflected in:

For the three core elements of the AI industry—"data, computing power, and models"—AINFT will leverage blockchain technology to "break the black box" for AI, building a trusted intelligent foundation:

• Data Trustworthiness: Utilizing the immutable characteristics of blockchain to achieve on-chain certification and full traceability of AI training data, combined with privacy computing technology to ensure "data is usable without leakage, and value is shareable."
• Democratization of Computing Power: Building a decentralized computing power network that integrates idle global GPU/CPU resources, incentivizing ordinary users to contribute idle computing power through tokens, breaking the monopoly of computing power and reducing training costs.
• Assetization of Models: Putting AI models and training processes on-chain, achieving model verification and trading in the form of NFTs, quantifying the value of contributors such as data and computing power providers, and ensuring transparent and traceable profit distribution.

At the same time, AINFT enhances Web3 applications' user experience and product performance by introducing advanced AI productivity tools to "empower blockchain":

• Security and Governance Upgrade: AI monitors abnormal transactions on-chain in real-time, automatically audits smart contract vulnerabilities, and assists DAOs in making efficient decisions, comprehensively enhancing ecological security and governance efficiency.
• Application Intelligence: Upgrading traditional wallets to AI Agents, supporting automated asset management and strategy execution, such as managing DeFi positions and dynamic rebalancing, allowing non-professional players to enjoy complex on-chain services without barriers.
• Ecological Autonomy: Promoting AI Agents to become "on-chain digital citizens," enabling them to autonomously participate in market trading, liquidity management, and protocol governance, constructing an open AI economic system centered on user sovereignty, avoiding the monopolization of technological dividends by a few giants.

Through the dual empowerment of "blockchain breaking the AI black box and AI empowering on-chain intelligence," AINFT addresses issues such as data monopoly, computing power concentration, and unfair benefit distribution in the AI field using blockchain technology, while significantly enhancing blockchain's capabilities in security, usability, and automation through AI technology.

Ultimately, AINFT aims to create a new generation of digital ecology that can handle complex cognitive tasks and achieve fair value distribution by deeply integrating the "trusted foundation" of blockchain with the "intelligent vitality" of AI, pushing the crypto world from "static proof of ownership" to "AI Agents" with self-evolution capabilities.

Five Years of NFT Industry Accumulation Will Transform into AINFT's Driving Fuel for Entering AI

The brand upgrade of AINFT is not merely an extension of APENFT's NFT business but a strategic leap across tracks. Transitioning from a native NFT trading platform in the TRON ecosystem to an open-source crypto AI infrastructure for the entire industry, AINFT will achieve a critical leap from "static NFT asset verification tool" to "dynamic AI service foundation."

This leap is not starting from scratch; the core capabilities and resources accumulated by APENFT over nearly five years of deep cultivation in the NFT field will transform into the "key fuel" for AINFT's entry into the AI field, providing solid underlying support for its crypto AI infrastructure layout.

As the largest NFT platform in the TRON ecosystem, APENFT has rapidly grown into a cross-border benchmark connecting traditional art and Web3 since its establishment in 2021, supported by multiple top-tier collections donated by TRON founder Justin Sun. Its collection includes heavyweight works by artists such as Picasso, Andy Warhol, and Beeple, creating a cross-temporal art collection system valued at over 200 million RMB, praised by users as a "museum-level NFT curation library."

The "issuance-verification-trading-incubation" full-chain NFT ecosystem built by APENFT has also reserved core users and asset circulation capabilities for AINFT. Its core product, APENFT Marketplace, has recorded over 2 million NFT assets, with transaction volumes reaching tens of millions of dollars, accumulating over 500,000 core users, who can be directly converted into potential users of AINFT AI Agents. The existing asset circulation channels can also seamlessly support the demands for "AI model NFTization and AI Agent assetization," avoiding the dilemma of creation leading to idleness.

More importantly, APENFT's experience in asset verification will provide important references for AINFT in addressing the verification and pricing of AI-generated content. Through the practice of putting traditional art on-chain, APENFT has established a complete link of "creation-certification-trading-profit sharing," and this mature verification logic can be directly applied to the on-chain verification of AI models and AIGC works, laying the foundation for building a "trusted AI ecosystem."

On the product level, APENFT has developed into a comprehensive ecological system covering various scenarios such as NFT trading (APENFT Marketplace), GameFi center, TRON inscription market (TRONscription), and NFT fair issuance platform (NFT Pump), which will provide ready-made ecological connections for the subsequent "multi-scenario operation" of AINFT AI Agents. For example, GameFi can integrate AI Agents for asset management, and the inscription market can combine AI-assisted creation, significantly shortening the landing cycle of AI functionalities.

Additionally, in July of this year, APENFT reached several deep collaborations with Binance, the world's largest CEX platform: NFT tokens successfully launched in the Binance Alpha zone, and the APENFT application was fully integrated into the Binance wallet, allowing users to directly purchase NFT tokens and complete on-chain interactions with one click through the Binance platform. This collaboration not only preemptively addresses the key issues of "user acquisition and efficient asset circulation" at the start of the AINFT ecological project but also accumulates critical experience for large-scale landing in the future. Leveraging Binance's traffic entrance, AINFT can quickly reach tens of millions of core users after launch, gaining global traffic exposure support and rapidly establishing its presence in the global market.

Moreover, within the TRON ecosystem, the Meme issuance platform SunPump has already explored the landing of AI Agents with the launch of SunAgent and SunGenX. SunAgent is an intelligent assistant that enhances users' decision-making and execution efficiency through intelligent dialogue, validating the feasibility and user acceptance of AI Agents in the TRON ecosystem; SunGenX is an AI-driven Meme token creation tool on the X platform, supporting users to issue tokens with a tweet, providing inspiration for AINFT's future development of "cross-platform AI Agents." The successful practice of these innovative products provides valuable technical accumulation and experience references for AINFT's layout of AI infrastructure.

In this context, AINFT will transform the successful experiences accumulated by APENFT in asset verification, circulation, and value anchoring in the NFT field into key advantages for building AI infrastructure. Combined with the "innovative gene, resource support, and AI practical experience" of the TRON ecosystem, AINFT will not need to start from scratch but will directly stand on the shoulders of a mature ecosystem, rapidly advancing the landing and scaling of crypto AI infrastructure.

In the future, every crypto asset in the AINFT ecosystem may become an interactive "AI Agent intelligent entity," and every interaction of AI Agents and every model invocation will trigger fair distribution of value on-chain.

Creating a Web3 Native AI Aggregation Gateway

In terms of product positioning, AINFT aims to build a Web3 native, privacy-first AI aggregation gateway. Unlike mainstream AI aggregation applications like Poe or Perplexity that focus on the mass market, AINFT does not participate in the competition of the mass track but focuses on opening up a new track, building a bridge connecting the Web3 ecosystem with cutting-edge AI services.

On the technical implementation level, AINFT will deeply integrate AI and blockchain as the technological foundation, using the TRON network as the underlying infrastructure to construct a future digital ecosystem that supports intelligent agents (AI Agents) and achieves data autonomy and economic independence. This is not only a technological integration but also a paradigm reconstruction that will drive the AI industry from "platform dominance" to "user sovereignty," from "data monopoly" to "value sharing," and from "human intervention" to "intelligent autonomy."

In terms of technical architecture, AINFT adopts a layered modular design, divided from the bottom up into four clear levels: infrastructure layer, core components layer, intelligent services layer, and ecological interaction layer, collectively laying a solid foundation for the efficient collaboration of "AI + Web3."

• Infrastructure Layer: As the trust and computing foundation of the AINFT system, it will use the high-throughput, low-fee TRON network as the main chain, undertaking asset settlement and smart contract governance tasks; it will also integrate BTFS decentralized storage to permanently certify AI models and interaction data, ensuring data is trustworthy, traceable, and immutable.
• Core Components Layer: Focused on achieving the "collaborative and assetizable" nature of AI Agents, providing supporting tools and frameworks for building AI-driven dApps. For example, a multi-agent framework supports cross-application communication and complex collaboration between Agents, helping developers quickly build workflows through a unified API; an asset issuance management framework supports users to mint AI Agents and issue exclusive tokens with one click.
• Intelligent Services Layer: Encapsulating AI capabilities into ready-to-use service modules, realizing the productization of AI capabilities. For instance, the DeFAI service module provides an on-chain intelligent strategy library, allowing AI Agents to directly call DeFi strategy templates to deliver intelligent asset management solutions to users.
• Ecological Interaction Layer: Serving as a bridge connecting users and AI, this layer provides standardized plugins and APIs, enabling AINFT Agents to securely access mainstream social platforms like Twitter, Discord, and Telegram, achieving automated operations such as content publishing and fan interaction, enhancing user experience and engagement.

On the business implementation level, AINFT has planned four clear product lines to translate technical capabilities into perceivable services, promoting the vision's realization for different market needs, covering developers, ordinary users, investors, and AI researchers:

• AINFT Agent Framework (Developer's AI Agent Toolbox): This is a multi-agent underlying technology framework (Multi-Agent System, MAS) independently developed by the AINFT team, providing complete components (such as unified API) and toolchains needed for multi-agent system development, allowing developers to quickly build exclusive AI Agent applications (such as multi-Agent collaborative DeFi strategy systems), significantly reducing the development complexity of multi-agent systems and providing technical support for ecological innovation.
• AINFT Nova (One-Click AI Agent Issuance Platform): Supports users to "create AI Agents + issue accompanying tokens with one click," seamlessly integrating with social platforms like Twitter and Discord. Without any technical background, users can use this platform to automate community operations and interact with fans, enjoying the dividends of "intelligent asset value creation."
• AINFT AgenTX (AI-Driven DeFi Trading Framework): As the core landing product of "DeFAI (AI + DeFi)," AINFT AgenTX aims to provide users with intelligent on-chain asset investment management solutions. It includes investment strategy templates such as cross-chain arbitrage, lending liquidation warnings, and liquidity mining optimization, supporting AI Agents to call directly, providing investors with convenient and efficient investment tools.
• AINFT Grid (Decentralized AI Model Training Platform): Integrating global idle computing resources through a distributed framework, supporting data owners to participate in model training without disclosing original data. The trained models can be converted into NFTs, and contributors such as computing power and data providers can receive token rewards based on their contributions, providing researchers with an open and fair model training environment.

These four core segments work closely together to build a full-stack capability system covering "underlying framework construction for AI Agents—application innovation creation—financial deep empowerment—efficient model training." They operate in synergy, driving AINFT's strategic transformation from an NFT platform to AI infrastructure, ultimately constructing a new generation of decentralized intelligent economic ecology that is user-led, AI-driven, and value-sharing, opening a new development path for crypto AI.

For developers, AINFT provides solid underlying facilities and a complete set of development tools, supporting the rapid and efficient deployment of AI Agents and related applications, significantly lowering development thresholds and cycles; for ordinary users, AINFT supports one-click issuance of exclusive AI Agents and flexible invocation of various intelligent applications, achieving automated management of on-chain assets; additionally, users can participate in model training by contributing data and computing power, receiving corresponding incentives, truly realizing that participation leads to benefits and co-construction leads to sharing.

According to the disclosed ecological blueprint, AINFT will build a complete AI infrastructure covering development, interaction, finance, and model training through systematic technical layout and platform construction, not only laying a solid foundation for the industry but also assisting TRON in achieving a strategic upgrade from "value internet" to "intelligent internet."

Specifically, AINFT will leverage large model tools to enhance the on-chain interaction experience and development efficiency of the TRON network, creating a decentralized AI agent incubation, operation, and economic system, continuously injecting innovative vitality into the ecosystem; on the other hand, by providing users with full-link asset growth support from project discovery to quantitative strategies through AI capabilities, TRON will become an ideal platform for the efficient operation of AI Agents, helping users achieve intelligent asset management and appreciation.

In the future, within the decentralized AI ecosystem built by AINFT, users and developers will not only be able to directly invoke various mainstream AI large models (such as OpenAI GPT, Claude, Gemini, and Grok series) but also use cryptocurrencies to pay related fees; at the same time, leveraging AINFT's one-click AI Agent creation platform AINFT Nova, users can easily deploy AI Agent intelligent entities with social capabilities and economic mechanisms, thereby building a large-scale AI Agent economy and moving towards a more open and innovative future.