Hong Kong’s AI IPO boom is real, well-documented, and accelerating. The city captured 8 of the world’s 10 largest TMT IPOs in Q1 2026, raising HK$110.4 billion in a single quarter, the second-highest Q1 total in HKEX history. Alibaba and Ant Group recently purchased 13 of 24 floors of a Causeway Bay office tower to serve as their international expansion headquarters. Morgan Stanley forecasts that the addition of Zhipu AI and MiniMax to the Hang Seng Tech Index in June will trigger $1.75 billion in passive investment inflows. By any financial measure, Hong Kong has established itself as the primary gateway between China’s AI industry and global capital.
But two prominent scholars argue in Fortune that this financial success, impressive as it is, represents only a fraction of what Hong Kong could become. Brian Wong, an HKU-100 assistant professor in philosophy at the University of Hong Kong and a Rhodes Scholar, and Tony Chan, former president of the Hong Kong University of Science and Technology and former president of King Abdullah University of Science and Technology (KAUST) from 2018 to 2024, make the case that Hong Kong must now build the governance, legal, and research infrastructure to become a genuine global AI hub, not just a capital markets gateway.
Their argument, published in Fortune on May 3, 2026, is both a diagnosis of Hong Kong’s current limitations and a blueprint for what it could achieve. “Hong Kong needs to do more than just raise money,” they write. “It needs to build bridges.”
The Capital Markets Foundation
Wong and Chan are not dismissive of Hong Kong’s financial achievements. They acknowledge that the city’s IPO dominance, it topped global IPO charts in 2025 for the first time in six years, raising $34.3 billion, has created a foundation of credibility and connectivity that other cities cannot easily replicate. The presence of Alibaba and Ant Group’s international headquarters in Causeway Bay is a signal that China’s largest technology companies view Hong Kong as their primary interface with the global economy.
But the authors argue that capital markets success, while necessary, is not sufficient for the kind of AI hub that Hong Kong should aspire to become. The city’s role as a listing venue gives it financial leverage but not intellectual authority. To shape the trajectory of AI development rather than simply finance it, Hong Kong needs to build capabilities in three domains it currently lacks: governance and ethics, legal precedent-setting, and applied research.
The AI Governance Gap
The most urgent gap that Wong and Chan identify is in AI governance. Hong Kong has five universities ranked in the world’s top 100, and three of them rank in the top 30 for AI specifically. This academic infrastructure gives the city the intellectual resources to contribute to global AI governance debates, but it has not yet been mobilized for that purpose.
The authors recommend that Hong Kong establish an annual summit on AI ethics and global governance, modeled on the World Economic Forum’s Davos meetings but focused specifically on the intersection of AI technology and human values. The city’s unique position as a common law jurisdiction with deep ties to both China’s AI industry and the international research community makes it a natural venue for conversations neither Beijing nor Washington can credibly host.
This recommendation is more than symbolic. The absence of a credible international forum for AI governance is a genuine problem. The major AI governance initiatives currently underway, such as the EU AI Act, the UK AI Safety Institute, the US AI Safety Institute, are all Western-led and reflect Western regulatory philosophies. China has its own AI governance frameworks, but they are developed domestically and presented to the international community as fait accompli rather than as the product of genuine dialogue. Hong Kong, with its combination of Chinese cultural context and international institutional credibility, is uniquely positioned to bridge this gap.
The Legal Precedent Opportunity
Wong and Chan also suggest focusing on Hong Kong’s legal system. As an AI hub, the city will inevitably become the site of disputes involving AI, contract disagreements about AI-generated work product, liability questions about AI-caused harm, and intellectual property disputes about AI-generated content. These disputes will require legal frameworks that do not yet exist, and the courts and arbitration bodies that resolve them will be setting precedents that influence AI governance globally.
Hong Kong’s common law system, shared with the United Kingdom, Australia, Canada, and other major jurisdictions, offers it an unusual opportunity. Legal precedents set in Hong Kong courts are persuasive authority in other common law jurisdictions, and Hong Kong’s arbitration institutions, including the Hong Kong International Arbitration Centre, are among the most respected in the world for commercial disputes. If Hong Kong’s legal community engages proactively with AI-related disputes, the city could become the common law world’s primary source of AI legal precedent.
This is not a passive opportunity. It requires deliberate investment in AI legal expertise, the development of specialized AI dispute resolution frameworks, and the cultivation of a legal community that understands both the technical and commercial dimensions of AI. The authors are calling for Hong Kong’s legal establishment to treat AI governance as a strategic priority, not an afterthought.
The AI Research and Application Agenda
The third pillar of Wong and Chan’s vision is applied research. They argue that Hong Kong should focus its AI research agenda on problems where its specific context gives it comparative advantage: the challenges of aging populations, cross-border governance, and the application of AI to professional services, including law, finance, medicine, and education, where Hong Kong has deep institutional expertise.
The Yangtze River Delta, they note, is the nexus of full-stack frontier generative AI model development in China. Shenzhen is the powerhouse of embodied AI and hardware. Hong Kong’s role in this ecosystem is not to compete with these regions on their own terms but to complement them, providing the governance frameworks, legal infrastructure, and international connectivity that neither the Yangtze River Delta nor Shenzhen can offer.
This division of labor is already visible in the IPO market: Chinese AI companies develop their technology in Shanghai, Hangzhou, or Shenzhen, but they list in Hong Kong to access international capital. Wong and Chan argue that the same logic should apply to governance and research: Chinese AI companies should develop their technology in mainland China, but engage with global governance debates and legal frameworks through Hong Kong.
A Narrow Window
The authors’ urgency reflects a recognition that Hong Kong’s window for establishing itself as a genuine AI hub, rather than just a capital markets gateway, is limited. The city’s financial success has attracted attention and investment, but it has also attracted competitors. Singapore is aggressively positioning itself as an AI governance hub, with a well-funded AI safety research program and a regulatory framework that has attracted several major AI companies. London is investing in AI research and governance infrastructure. Abu Dhabi is building AI capabilities with sovereign wealth fund resources.
Hong Kong’s advantages, its universities, its legal system, its position as a gateway to China’s AI industry, are real but not permanent. They require active cultivation and strategic investment to translate into lasting institutional authority. The IPO boom provides the financial resources for that investment; what is needed now is the vision and the will to deploy them.
“Hong Kong needs to do more than just raise money,” Wong and Chan conclude. “It needs to build bridges.” The city has demonstrated its ability to attract capital. The question is whether it can also attract the ideas, the talent, and the governance frameworks that will define the next phase of AI development.
(Related: Hong Kong Captures 8 of the World’s 10 Largest TMT IPOs in Q1 2026 | Beijing’s AI Governance Playbook for Southeast Asia: Research Centers, Forums, and Elite Training)