How can AI move 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 including AI x Web3, AI Agent, 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, SNZ to explore new opportunities at the intersection of AI and Web3.

From multiple project Keynotes, an AI Applications Panel, an AI Ecosystem & Investment Roundtable, to the Demo Show and on-site Networking, the event facilitated in-depth discussions around how AI moves from narrative to real products, real users, and real business scenarios, while also providing high-quality connection and collaboration opportunities for project teams, investors, developers, and partners within the AI and Web3 ecosystem.

Keynote Highlights: In-depth Sharing from AI Ecosystem Projects

WIDTH

As the opening Keynote project of the event, WIDTH 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 issue for both enterprises and Web3 projects.

The presentation by WIDTH set a clear tone for the AI Convergence 2026 event: AI is not just a competition of model capabilities, but a systemic construction centered on real-world scenarios, risk control, and sustainable user experience.

BiHelix

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

Against the backdrop of the accelerating convergence of AI and Web3, the BTC ecosystem is no longer merely a settlement layer for asset consensus but is emerging as a new frontier for exploration by developers, financial applications, and intelligent tools.

Noos

Noos delivered a presentation on AI Agents, verifiable economic infrastructure, and decentralized collaboration networks. As AI Agents evolve from single-purpose tools into autonomous entities capable of executing tasks, participating in transactions, and collaborating in 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 event's discussion on "AI x Web3": AI is not just an efficiency tool for the application layer, but could also become a significant participant in future on-chain economic activities.

AWS

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

The participation of AWS enriched the on-site discussions, presenting construction directions at different layers of the AI industry chain, from native Web3 projects to cloud service infrastructure.

Mydex

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

Mydex's presentation showcased the practical application potential of AI in on-chain finance, prompting further discussion among attendees about how intelligent tools are changing the way users participate in DeFi, trading, and asset management.

ClickHouse

ClickHouse shared its insights on high-performance data analytics, real-time data processing, and data infrastructure for AI applications in its Keynote. AI's capability stems not only from the models themselves but also heavily depends 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 be a vital component of long-term competitiveness.

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

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

Focusing on the real-world commercialization of AI and Web3, the panelists shared their observations on practical application scenarios and commercialization pathways from various perspectives, including AI Agents, decentralized AI, AI product experience, on-chain finance, and user growth. The discussion further revealed 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 speaker delivered a focused presentation on AI Chips. As the scale of AI models and application scenarios continues to expand, computing power, chips, and infrastructure are becoming some of the most critical underlying pillars of the entire AI industry chain.

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

Ecosystem Partners & On-site Networking

In addition to the main stage Keynotes and panel discussions, the event venue also featured multiple project booth display areas and networking zones. Many project teams brought branding materials, promotional gifts, product introductions, and live demos, allowing attendees to easily learn about the latest developments from different projects in areas such as AI Agents, AI Infrastructure, Web3 Applications, Data Services, Wallet Gateways, and Ecosystem Tools.

During the Tea Break & Networking and Evening Networking sessions, the on-site atmosphere was very active. Project teams, investors, developers, ecosystem partners, and industry friends engaged in many in-depth discussions covering AI product deployment, market expansion, technical collaboration, investment and financing opportunities, and ecosystem resource matching.

The booth area also became a key venue for attendees to discover new projects, exchange resources, and explore collaboration opportunities, making the entire event not just about content sharing but also a high-quality AI x Web3 ecosystem connection.

Conclusion

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

Through this event, we also observed several clear trends:

• AI Agents are moving from concepts to real-world task execution and business scenarios;
• Opportunities in AI x Web3 are expanding from single-point applications to encompass 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 would also like to thank WIDTH, BiHelix, Noos, AWS, Zen7 Labs, ClickHouse, Infini, Sentient, SVP, Choice, LiberCEX, as well as all partners, project teams, guests, and attendees for their support.

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