In the first half of 2026, the TRON ecosystem's AI product matrix has initially taken shape: innovative AI applications such as B.AI are being implemented, targeting a new round of growth engines

If a mature DeFi ecosystem is the financial foundation for TRON to navigate market cycles, then the systematic layout in the AI sector is its core strategic pivot to seize the next generation of technological revolution dividends. In the first half of 2026, TRON has built a full-stack decentralized AI ecosystem closed loop, from "upper-level service entry, middle-level Agent infrastructure to lower-level computing power base," through high-frequency product launches and forward-looking industry standards.

As of now, TRON's AI ecosystem has formed a product matrix centered around B.AI, Bank of AI, AINFT, and BTTInferGrid‌, comprehensively covering four key areas: large model service entry, AI Agent on-chain financial empowerment, AI Agent financial trading ecosystem, and distributed computing power supply. The product positioning at each level is clear, capabilities are complementary, and scenarios are collaborative, creating a structurally rigorous and efficiently operating decentralized AI ecosystem framework. Among them, B.AI, as the unified entry point for the AI ecosystem, stands out, with cumulative registered users exceeding 2.05 million, becoming a core traffic aggregation point spanning both Web2 and Web3.

In this emerging AI sector, while the industry is still generally exploring the integration path between decentralized technology and the AI industry, TRON has completed deep positioning through high-frequency product iterations, forming a top-down full-stack closed-loop ecosystem, seizing the first-mover advantage in the industry.

Looking back at the past development process, the forward-looking layout in the stablecoin field in 2019 laid the foundation for TRON's current industry-leading position; the deep layout in the DeFi sector in 2020 built the ecological cornerstone for inclusive finance; and now, the systematic deployment in the AI sector may become a new engine for TRON's next phase of growth, driving the ecosystem to continuously advance into more cutting-edge technological fields.

TRON's Emerging AI Sector Rapid Expansion: Intensive Launch of AI Innovative Products like B.AI, Bank of AI, and BTTInferGrid

In the first half of 2026, TRON entered a concentrated outbreak period in the AI ecosystem: in February, the AI Agent exclusive financial infrastructure Bank of AI officially launched; in April, the multi-model unified service entry B.AI was fully opened; in June, the decentralized AI computing power network BTTInferGrid began operation. A series of milestone products were successively launched, rapidly building a multi-layer complete architecture for the AI ecosystem from "upper-level service entry --- middle-level core infrastructure --- lower-level computing power base," achieving full-link connectivity from AI large model invocation, AI Agent innovation and on-chain financial empowerment to distributed computing power support. In just a few months, TRON completed a full-stack decentralized AI ecosystem layout that other public chains have struggled to achieve over several years, establishing a first-mover advantage in the Web3 AI sector.

Relying on the current four core products B.AI, Bank of AI, AINFT, and BTTInferGrid, TRON has built a three-layer architecture of "upper-level service entry - middle-level Agent infrastructure - lower-level computing power base," and this system is not a simple stacking of scattered products, but an organic whole with intercommunicating capabilities and scenario empowerment: B.AI serves as the unified entry point for user traffic and model services, Bank of AI and AINFT implement the financial capabilities of AI Agents, and BTTInferGrid provides underlying distributed computing power support. Each product collaborates and interacts, jointly constructing TRON's core competitiveness in the Web3 AI sector, and laying the ecological foundation for the deep integration of AI and blockchain technology.

At the upper-level service entry layer, B.AI has become a multi-model AI unified service entry point across Web2 and Web3. As a leading AI infrastructure, B.AI is the global settlement layer—sitting above all models and below all Agents, every invocation is routed, computed, and settled here. Its LLM service has integrated the LLM dialogue capabilities and standardized API services of multiple mainstream large models, supporting one-click switching between models on the user side, and providing a unified API interface for quick access; the platform has also launched AI Agent desktop application BAIclaw, AI programming assistant BAIcode, as well as underlying general components like x402 payment standard and 8004 identity protocol, providing ordinary users with a low-threshold smooth AI interaction experience while significantly reducing the technical costs for developers to access AI capabilities, offering unified large model service support for all AI applications within the ecosystem.

At the middle-level core infrastructure layer, AINFT and Bank of AI cover the two core scenario centers of financial capability access and trading strategy ecological validation for AI Agents: Bank of AI focuses on the exclusive financial track for AI Agents, relying on native components such as x402 payment standard, 8004 identity protocol, MCP Server, and Skills, to provide AI Agents with one-stop Web3 on-chain financial service access capabilities, allowing AI Agents to invoke mature DeFi functions like trading and lending with one click without additional development, becoming the core hub connecting AI Agents and TRON's DeFi ecosystem; AINFT plans to build an AI Agent financial trading ecosystem center, launching standardized AI trading strategy evaluation infrastructure, providing capabilities for AI trading strategy validation and benchmarking, establishing a foundation for trust and value transfer in the AI Agent trading ecosystem.

At the lower-level computing power support layer, the decentralized AI inference computing power network BTTInferGrid launched by BitTorrent provides underlying computing power guarantees for the entire ecosystem. The platform relies on BitTorrent's over twenty years of global distributed node resources, aggregating massive idle GPU computing power and bandwidth resources through a cryptoeconomic incentive mechanism, transforming scattered hardware resources into a standardized computing power pool that can be uniformly scheduled, providing low-cost, highly available, and on-chain verifiable AI inference computing power services for all upper-level AI applications, fundamentally breaking the monopoly of centralized computing power platforms and significantly reducing the computing power usage costs for Web3 AI projects.

In addition to the intensive product launches, TRON has also completed forward-looking positioning at the industry standard level—this March, TRON officially joined the Agentic AI Council hosted by the Linux Foundation as a gold member, participating in industry governance alongside global tech and financial giants like OpenAI, Anthropic, Circle, and JPMorgan. This layout further highlights TRON's industry discourse power and frontier advantages in the decentralized AI sector, adding important leverage for it to seize the initiative in the next generation of technological revolution competition.

TRON's Ecological AI Product Matrix Has Taken Shape: B.AI, Bank of AI, AINFT, and BTTInferGrid Co-Constructing the AI Ecosystem

With B.AI as the service entry, Bank of AI and AINFT as the central infrastructure, and BTTInferGrid as the computing power base, TRON has built a closed-loop decentralized AI ecosystem system that is interconnected and scenario-coordinated in just six months. This not only marks TRON's full-stack leadership in the Web3 AI sector but also establishes long-term strategic coordinates for the deep integration of AI and blockchain technology. This systematic three-dimensional layout not only establishes TRON's first-mover advantage in the Web3 AI field but also solidifies the foundation for the deep integration of AI technology and on-chain assets.

B.AI Builds Full-Stack AI Infrastructure, Becoming the Preferred AI Service Entry for Global Users

B.AI officially launched in April this year, rapidly growing into a phenomenal AI product spanning Web2 and Web3 in just a few months, thanks to its high-frequency iteration rhythm and continuously updated functional experience. It is also the core unified AI service entry for TRON's AI ecosystem open to ordinary users and developers. As of September 1, the cumulative registered user count on the B.AI platform has exceeded 2.2 million, achieving a significant scale leap in the millions, with a single-day token throughput on August 31 strongly breaking through 1.11 trillion, making its user penetration speed rank among the top tier in the industry for similar AI products.

In just four months since its launch, B.AI has established a full-stack AI infrastructure system covering all scenarios from C-end interaction to B-end development: the core layer is the LLM multi-model unified service platform, the application layer features practical products like the AI Agent desktop tool BAIclaw and AI programming assistant BAIcode, and the underlying capability layer is equipped with core infrastructure for AI Agents such as the x402 payment standard, 8004 identity protocol, and Skills component tools, forming a multi-layer closed-loop full-stack AI service architecture of "unified entry - scenario application - underlying capability."

At the core multi-model service level, B.AI's LLM multi-model unified service platform aggregates dozens of mainstream AI large models from around the world in one-stop, covering both top overseas flagship models and high-cost-performance domestic models: it includes leading overseas flagship models such as ChatGPT (GPT-5.4/5.5/5.6 series), Claude (Opus/Sonnet/Haiku series), Gemini (Flash/Pro series), Grok (4.5 series), as well as domestic high-cost-performance models like MiniMax (M2.7/M3), DeepSeek (V4 series), Kimi (K2.5/K2.6/K3), Zhiyu GLM (5.1/5.2/5.3), Qwen (3.6/3.8 series), Tencent Hy3, MiMo (V2.5/V2.5 Pro), and the model pool is continuously expanding. Moreover, users do not need to jump between multiple platforms; they can freely switch between all models to complete dialogue interactions on the same page.

To address the pain point of users selecting models, B.AI recently launched the Auto intelligent routing mode, which automatically matches the AI model with the best overall performance based on the type, complexity, and cost requirements of the user's input task, significantly lowering the threshold for ordinary users to use multiple models. Additionally, the platform has set up a "Model Ranking" page to display in real-time the AI models with the highest invocation volume and the most user praise, helping new users quickly find popular models that fit their needs.

In the API calling field, B.AI has launched a unified API Key service interface, achieving a convenient experience of "one B.AI API Key, calling all AI model APIs on the platform." For the cost and flexibility needs of users of different scales, B.AI API has launched "official" and "self-selected service provider" dual modes:

• Official Mode: Directly connects to the original factory API, currently offering official discount resource groups of 60%, 70%, 85%, and 90%, covering series like GLM-5.2, Grok, Gemini, GPT, and more models will continue to be expanded in the future;

• Self-Selected Service Provider Mode: Allows users to choose model service providers based on their business needs and enjoy various tiered discount plans. Currently, it covers multiple discount tiers of 10%, 20%, 40%, 60%, 80%, and 90%, adapting to the full series of mainstream models like Claude, GPT, Gemini, Kimi, GLM, and more service providers and tiered discounts will continue to be added to provide developers with richer AI API access options.

In terms of login and payment systems, B.AI fully supports dual-track access for Web2 and Web3, achieving zero-threshold usage for cross-circle users. The login side supports one-click login via Web2 methods like Google accounts, as well as multi-chain Web3 wallet logins including TRON, Ethereum, BNBChain, Optimism, Arbitrum, and non-EVM Solana chain. The payment side seamlessly connects the two systems of crypto assets and fiat currency: the Web2 side supports traditional fiat payment channels like Visa, WeChat, Alipay, and UnionPay; the Web3 side connects with dozens of mainstream wallets globally, including TronLink, Binance Wallet, OKX Wallet, MetaMask, Trust Wallet. The "full wallet coverage + full payment connectivity" hybrid model provides a smooth interaction and payment experience for users across different circles worldwide.

In terms of ecosystem building, B.AI has established partnerships with dozens of leading technology and Web3 companies, including top global cloud service providers like Alibaba Cloud and Tencent Cloud, AI large model unicorn MiniMax, and leading innovative forces in the Web3 industry like Biconomy, MoonPay, Pundi X Labs, KuCoin Web3 Wallet, Symbiosis, CROSS, and deBridge.

In terms of user benefits, B.AI launched a full-scale free explosion activity for AI large models on August 17, gathering six top models including GLM-5.3-Flash (Ox Alpha), Qwen3.8-Flash, DeepSeek-V4-Flash, DeepSeek-V4-Flash-Vision-Exp, Tencent Hy3, and Xiaomi MiMo-V2.5, offering users unlimited free access with zero threshold for a limited time.

According to the latest operational data from the official, the AI welfare activity has significantly driven rapid growth in platform invocation volume. On August 31, B.AI saw a single-day token throughput strongly break through 1.11 trillion, officially entering the era of 1T+ super computing power scheduling. In the 14 days since the activity started, the platform's cumulative throughput has reached 68.6 trillion, with over 196,000 new API users.

Bank of AI Builds AI Agent Financial Infrastructure, Enabling AI Agents to Access On-Chain Financial Functions with One Click

Bank of AI officially debuted in February this year, aiming to become the financial protocol hub between AI and Web3, enabling every AI Agent to autonomously execute on-chain financial actions, promoting a qualitative leap for AI Agents from "passively responsive intelligent dialogue tools" to "actively decision-making intelligent executors."

Bank of AI centers around "one-stop AI Agent full-function toolbox," creating a set of standardized AI Agent financial tools that are ready to use out of the box. It deeply integrates core foundational components such as the x402 payment standard and 8004 on-chain identity protocol, and also launches the AI large model on-chain service interface standard MCP Server, AI model expansion capability plugin Skills, and OpenClaw Extension. Ordinary developers or even zero-code users can access complete financial capabilities such as automatic payment settlement, on-chain identity verification, and various DeFi operations for any AI Agent with just a few lines of minimal code or by directly invoking relevant service interfaces through natural language dialogue, without needing to master complex Web3 smart contract development knowledge.

Currently, the MCP Server and Skills plugin system of Bank of AI have been integrated with the three mainstream public chains of TRON, Ethereum, and BNB Chain. After integration, AI Agents can not only access the latest on-chain data from each public chain in real-time but also seamlessly connect with leading DeFi protocols such as SUN.io, JustLend DAO, Uniswap, and PancakeSwap, autonomously completing various complex financial operations like asset exchange, staking and lending, liquidity mining, and cross-chain arbitrage, enabling AI Agents to truly possess the ability for autonomous management and value appreciation of on-chain assets, laying a solid foundation for the entire Web3 AI economic ecosystem.

AINFT Plans to Build AI Agent Financial Trading Ecosystem Center, Establishing a Standardized Trust Base for AI Trading

AINFT plans to provide standardized infrastructure for AI Agent trading, creating an AI Agent financial trading ecosystem center. Targeting the AI Agent developer community, AINFT will launch a dedicated AI Agent trading benchmark testing platform, supporting developers to efficiently implement AI investment trading strategies from "creative conception" to "auditable quantitative backtesting results," providing a verification system and performance benchmarking for AI Agent trading strategies.

Specifically, AINFT will enable AI developers to conduct comprehensive and objective quantitative assessments of AI trading strategies' performance, risk control capabilities (such as loss control ability, maximum drawdown level, etc.), operational stability, relative benchmark excess returns, and full-link decision logic based on real simulated market conditions of mainstream core assets like BTC and ETH, under the premise of zero capital risk, allowing high-quality AI Agent strategies to naturally stand out in market competition and gradually build an industry-recognized "AI Agent trading capability rating" and "trust certificate" system.

Currently, AINFT products have not yet been officially released, but the official website has opened a preview version. For more product progress and official updates, please follow the official social media account @AINFT.

BTTInferGrid Constructs a Decentralized AI Inference Computing Power Network, Restructuring the Computing Power Supply Economy

BTTInferGrid is the core strategic AI product launched by BitTorrent in June this year, positioned as a DePIN decentralized computing power network for AI inference scenarios, aiming to achieve seamless connection between global idle GPU and other computing resources and AI developers, creating an inclusive and open new generation of computing power infrastructure, which is the foundational computing power base of TRON's AI ecosystem.

In terms of operational mechanism, BTTInferGrid is supported by both cryptoeconomic incentive mechanisms and distributed consensus systems. Through a distributed architecture, the network efficiently aggregates fragmented and low-utilization idle GPU computing power from around the world, transforming it into a standardized resource pool that can be uniformly scheduled, and precisely matching the inference computing power needs of AI developers. This model fundamentally reconstructs the production, distribution, and value transfer logic of traditional computing power, effectively breaking the long-standing monopoly of centralized platforms over computing power.

Currently, BTTInferGrid has completed the adaptation and integration of several mainstream open-source models, covering popular models like Qwen3.6 27B, Qwen2.5 7B Instruct, and Meta Llama 3.1 8B Instruct, which developers can invoke with one click through the B.AI platform. In the future, the platform will also open standardized API interfaces, allowing developers to flexibly schedule computing power resources as needed, further shortening the development and launch cycle of AI applications.

Looking ahead, BTTInferGrid aims to achieve AI-native infrastructure as its ultimate goal. According to the plan, by 2028 and beyond, the platform will create a collaborative network integrating computing, storage, and smart contracts, providing underlying support for AI Agents and various automated applications, ultimately becoming the preferred decentralized computing power infrastructure for global open-source AI applications.

Overall, in just six months, TRON has completed a three-dimensional full-stack AI service layout from the upper-level AI large model service entry, middle-level Agent infrastructure to the lower-level computing power base, constructing a decentralized AI ecosystem system with intercommunicating capabilities and value closed loops.

This ecosystem is not a linear stacking of single products, but an organic synergy where the underlying technology base is shared, and upper-level application scenarios promote each other: B.AI undertakes global traffic and large model service entry, Bank of AI and AINFT implement financial capability empowerment and innovation scenario incubation for AI Agents, and BTTInferGrid strengthens the distributed computing power supply base. The collaboration of these four not only builds TRON's core competitiveness in the emerging AI sector that is difficult to replicate but also provides a practical ecological paradigm for the deep integration of AI technology and blockchain economy.

In the future, with the continuous iteration of ecological products and the ongoing addition of ecological partners, TRON will continue to adopt a forward-looking posture, seizing the core heights of the next generation of technological transformation, and working hand in hand with all ecological participants to promote the entire ecosystem towards a new growth cycle that is more vibrant and full of imagination.