ICBC Asia's new competition gives Hong Kong students a chance to test their fintech ideas beyond the classroom.
Updated
October 2, 2026 9:16 AM
Main Building of the University of Hong Kong. PHOTO: ADOBE STOCK
Hong Kong university students are being invited to take part in the first Hong Kong University Students Fintech Innovation Competition, organised by Industrial and Commercial Bank of China (Asia). The competition gives students a chance to develop ideas around financial technology, with cash prizes, internship opportunities and a route to the national finals of the ICBC Cup on offer.
The competition is part of the 17th ICBC Cup and marks the first time ICBC has established a competition zone in Hong Kong. It is supported by the Financial Services and the Treasury Bureau and the Hong Kong Monetary Authority, with 12 Hong Kong universities also backing the initiative.
The participating universities are the University of Hong Kong, the Chinese University of Hong Kong, Hong Kong University of Science and Technology, Hong Kong Polytechnic University, City University of Hong Kong, Hong Kong Baptist University, Hong Kong Metropolitan University, Lingnan University, Hong Kong Shue Yan University, the Education University of Hong Kong, Hang Seng University of Hong Kong and St. Francis University.
For ICBC Asia, the competition is also intended to support the development of fintech in Hong Kong and expand the city's fintech talent pool. Dr. Liu Yagan, Chairman and Executive Director of Industrial and Commercial Bank of China (Asia), said the competition is designed to encourage students to develop practical applications for financial technology and explore new banking business models.
"This competition encourages university students across Hong Kong to propose practical solutions for fintech applications and banking business model innovation from the perspective of financial products and services, providing a platform for Hong Kong youth to connect with cutting-edge industries and unleash their innovative potential."
The initiative will also connect Hong Kong students with the wider ICBC Group. Liu said this would help deepen exchanges between young talent in Hong Kong and the Mainland.
The competition is open to full-time university students in Hong Kong and carries the theme "Digital Banking, Creating the Future." Students can develop ideas across 10 areas, ranging from fintech and digital finance to green finance, inclusive finance, pension finance and wealth management. The categories also include financial security services, specialised financial services, youth services and open innovation services.
The competition also offers cash prizes: the First Prize winner will receive HK$50,000; two Second Prize winners will receive HK$30,000 each; three Third Prize winners will receive HK$20,000 each; and four Honorable Mention recipients will receive HK$10,000 each.
Beyond the prize money, qualifying winners will have the opportunity to undertake internships at ICBC (Asia). The team that wins the Hong Kong First Prize will also have the opportunity to travel to Beijing in December for the ICBC Cup national finals, where it will compete against teams from across the country.
With registration now open, the competition gives Hong Kong university students an opportunity to take ideas in financial technology from the classroom into areas such as banking products, services and business models.
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A step forward that could influence how smart contracts are designed and verified.
Updated
January 8, 2026 6:32 PM
ChainGPT's robot mascot. IMAGE: CHAINGPT
A new collaboration between ChainGPT, an AI company specialising in blockchain development tools and Secret Network, a privacy-focused blockchain platform, is redefining how developers can safely build smart contracts with artificial intelligence. Together, they’ve achieved a major industry first: an AI model trained exclusively to write and audit Solidity code is now running inside a Trusted Execution Environment (TEE). For the blockchain ecosystem, this marks a turning point in how AI, privacy and on-chain development can work together.
For years, smart-contract developers have faced a trade-off. AI assistants could speed up coding and security reviews, but only if developers uploaded their most sensitive source code to external servers. That meant exposing intellectual property, confidential logic and even potential vulnerabilities. In an industry where trust is everything, this risk held many teams back from using AI at all.
ChainGPT’s Solidity-LLM aims to solve that problem. It is a specialised large language model trained on over 650,000 curated Solidity contracts, giving it a deep understanding of how real smart contracts are structured, optimised and secured. And now, by running inside SecretVM, the Confidential Virtual Machine that powers Secret Network’s encrypted compute layer, the model can assist developers without ever revealing their code to outside parties.
“Confidential computing is no longer an abstract concept,” said Luke Bowman, COO of the Secret Network Foundation. “We've shown that you can run a complex AI model, purpose-built for Solidity, inside a fully encrypted environment and that every inference can be verified on-chain. This is a real milestone for both privacy and decentralised infrastructure”.
SecretVM makes this workflow possible by using hardware-backed encryption to protect all data while computations take place. Developers don’t interact with the underlying hardware or cryptography. Instead, they simply work inside a private, sealed environment where their code stays invisible to everyone except them—even node operators. For the first time, developers can generate, test and analyse smart contracts with AI while keeping every detail confidential.
This shift opens new possibilities for the broader blockchain community. Developers gain a private coding partner that can streamline contract logic or catch vulnerabilities without risking leaks. Auditors can rely on AI-assisted analysis while keeping sensitive audit material protected. Enterprises working in finance, healthcare or governance finally have a path to adopt AI-driven blockchain automation without raising compliance concerns. Even decentralised organisations can run smart-contract agents that make decisions privately, without exposing internal logic on a public chain.
The system also supports secure model training and fine-tuning on encrypted datasets. This enables collaborative AI development without forcing anyone to share raw data—a meaningful step toward decentralised and privacy-preserving AI at scale.
By combining specialised AI with confidential computing, ChainGPT and Secret Network are shifting the trust model of on-chain development. Instead of relying on centralised cloud AI services, developers now have a verifiable, encrypted environment where they keep full control of their code, their data and their workflow. It’s a practical solution to one of blockchain’s biggest challenges: using powerful AI tools without sacrificing privacy.
As the technology evolves, the roadmap includes confidential model fine-tuning, multi-agent AI systems and cross-chain use cases. But the core advancement is already clear: developers now have a way to use AI for smart contract development that is fast, private and verifiable—without compromising the security standards that decentralised systems rely on.