RWA Summit Hong Kong

Description

RWA SUMMIT HONG KONG brings together the most influential voices in real-world asset tokenisation, stablecoins, and traditional finance convergence. Taking place during Consensus Hong Kong Week on 12-13 February 2026, this exclusive gathering serves as the definitive platform for industry leaders, institutional investors, and innovators shaping the future of finance.

​Hong Kong's unique position as the bridge between East and West makes it the ideal location for advancing real-world asset tokenisation. The city's progressive regulatory framework, institutional adoption momentum, and strategic access to Asian capital markets create unprecedented opportunities for sponsors to engage with the fastest-growing segment of digital finance.

​Focus areas and audience
​RWA Tokenization
​Asset managers, tokenisation platforms, institutional investors exploring money market funds, bonds, gold, private credit, and real estate tokenisation. Discussion of global trends, regulatory frameworks, and secondary market infrastructure.

​PayFi and Cross-border infrastructure
​Fintech companies, wallet providers, and payment processors building infrastructure for business and consumer payments. Focus on off-ramp/on-ramp solutions and cross-border settlements.

​Stablecoins adoption
​Payment providers, financial institutions, and regulators examining USD, HKD, and RMB-pegged stablecoins. Case studies of implementation, regulatory challenges, and cross-border settlement solutions.

​DePin
​Infrastructure providers, IoT companies, and blockchain developers exploring tokenization of physical infrastructure assets including energy grids, telecommunications networks, and computing resources. Discussion of real-world utility, revenue models, and integration with traditional infrastructure.

​Future of Investments
​Venture capitalists, family offices, and wealth managers interested in bringing institutional products to retail via tokenisation. Coverage of AI in FinTech, investment trends, and fractional ownership models.