How is AI moving from narrative to real products, real users, and real business scenarios?

On April 20, 2026, AI Convergence 2026, hosted by Bixin and title sponsored by B.AI, was successfully held at Tower 535 in Hong Kong. The event focused on core topics such as AI x Web3, AI Agents, and Decentralized AI Infrastructure, bringing together project teams, investment institutions, and ecosystem partners from WIDTH, BiHelix, Noos, AWS, Mydex, ClickHouse, Infini, Sentient, Roam, Donut, Foresight Ventures, Animoca Brands, Bixin, and SNZ to explore new opportunities arising from the convergence of AI and Web3.

From multiple project Keynotes, to the AI Application Panel, the AI Ecosystem & Investment Roundtable, and the Demo Show & Networking session, this event facilitated in-depth discussions centered around how AI transitions from narrative to real products, real users, and real business scenarios. It also provided high-quality connection and collaboration opportunities for project teams, investors, developers, and partners within the AI and Web3 ecosystem.

Keynote Highlights: Deep Dives into the AI Ecosystem

WIDTH

WIDTH, as the opening Keynote of the event, shared insights on the value of AI in business risk control, compliance governance, and enterprise-level applications. As AI applications increasingly enter real business scenarios, making AI systems more controllable, auditable, and deployable is becoming a core concern for both enterprises and Web3 projects.

WIDTH's presentation set a clear tone for AI Convergence 2026: AI is not just a competition of model capabilities, but a systematic endeavor centered around real-world scenarios, risk management, and sustainable user experiences.

BiHelix

In its Keynote, BiHelix shared its exploration of the BTC ecosystem and AI/Web3 infrastructure. As a project focused on Bitcoin ecosystem infrastructure and native financial applications, BiHelix demonstrated the expanded possibilities resulting from the combination of AI, DeFi, and the Bitcoin ecosystem.

Against the backdrop of accelerating AI and Web3 convergence, the BTC ecosystem is no longer just a settlement layer for asset consensus but is also becoming a new frontier for developers, financial applications, and intelligent tools.

Noos

Noos presented on AI Agents, verifiable economic infrastructure, and decentralized collaboration networks. As AI Agents evolve from single-purpose tools into intelligent entities capable of executing tasks, participating in transactions, and collaborative production, building a trusted economic and collaborative environment for these Agents has become a crucial direction for the industry.

Noos's presentation further expanded the discussion on "AI x Web3" at this event: AI is not merely an efficiency tool at the application layer but may also become a significant participant in future on-chain economic activities.

AWS

AWS shared its perspective in the Keynote from the angles of cloud infrastructure, AI computing resources, and enterprise-level application deployment. For AI projects, stable, high-performance, and scalable underlying infrastructure is a crucial prerequisite for model training, inference, data processing, and commercial deployment.

AWS's participation made the on-site discussions more comprehensive, presenting the construction directions at different layers of the AI industry chain, from Web3 native projects to cloud service infrastructure.

Mydex

Mydex shared insights on the integration of AI with decentralized trading and smart financial applications. As AI Agents increasingly enter scenarios like trading, data analysis, and strategy execution, decentralized finance (DeFi) is also embracing more intelligent interaction methods.

Mydex's presentation showcased the practical application potential of AI in on-chain financial scenarios, prompting on-site guests to further discuss how intelligent tools will change user participation in DeFi, trading, and asset management.

ClickHouse

In its Keynote, ClickHouse focused on high-performance data analytics, real-time data processing, and the data infrastructure required for AI applications. The capability of AI depends not only on the model itself but also heavily on the quality, processing efficiency, and analytical power of the underlying data.

For AI Agents, on-chain data analysis, trading systems, and enterprise applications, real-time, efficient, and reliable data infrastructure will become a critical component of long-term competitiveness.

Panel I: AI x Web3 – From Hype to Real-World Applications

This roundtable invited guests from Infini, Sentient, Roam, and Donut to participate in the discussion.

Focusing on the real commercialization of AI and Web3, the panelists shared their observations on real application scenarios and commercialization paths from various perspectives, including AI Agents, decentralized AI, AI product experiences, on-chain finance, and user growth. The discussion further demonstrated on-site that AI x Web3 is moving from conceptual hype towards more concrete products, users, and revenue models.

Special Invited Speech: AI Chips

During the Special Invited Speech session, the guest delivered a dedicated presentation on AI Chips. As the scale of AI models and their application scenarios continue to grow, computing power, chips, and infrastructure are becoming some of the most critical underlying supports in the entire AI industry chain.

This session further extended the discussions at AI Convergence 2026 from the application and ecosystem layers down to the underlying hardware and computing power layer, presenting a complete picture of the AI industry spanning models, data, applications, and computing infrastructure.

Ecosystem Partners & On-Site Networking

In addition to the Keynotes and roundtable discussions on the main stage, the event also featured project booths and networking areas. Many project teams brought branded materials, giveaways, product introductions, and live demonstrations, allowing attendees to easily learn about the latest developments of various projects in areas such as AI Agents, AI infrastructure, Web3 applications, data services, wallet interfaces, and ecosystem tools.

During the Tea Break & Networking and Evening Networking sessions, the atmosphere was very lively and interactive. Project teams, investors, developers, ecosystem partners, and industry friends engaged in many in-depth conversations covering AI product deployment, market expansion, technical collaboration, investment and fundraising opportunities, and ecosystem resource alignment.

The booth area became a crucial scene for people to discover new projects, exchange resources, and explore collaboration opportunities, making the entire event not just a content-sharing session but also a high-quality AI x Web3 ecosystem networking event.

Summary

This AI Convergence 2026 was hosted by Bixin, with special thanks to B.AI for its title sponsorship support for this event.

Through this event, we also observed several clear trends:

• AI Agents are moving from concepts towards real task execution and business scenarios;
• Opportunities in AI x Web3 are expanding from single-point applications to infrastructure, data, computing power, payments, and financial networks;
• Investment institutions are increasingly focusing on real demand, clear commercialization paths, and long-term ecosystem value;

We also extend our gratitude to WIDTH, BiHelix, Noos, AWS, Zen7 Labs, ClickHouse, Infini, Sentient, SVP, Choice, LiberCEX, and all partners, project teams, guests, and on-site attendees for their support.

Going forward, we will continue to connect builders, investors, developers, and application teams within the AI and Web3 ecosystem, collectively exploring new products, new infrastructure, and new business opportunities in the age of intelligence.