Kony Kwong is a Hong Kong-based investor and entrepreneur with experience in finance, venture capital, and technology focused on artificial intelligence. He is the founder and chief executive officer of GAIB, a company that develops financial infrastructure for the AI economy by connecting computational assets with financial markets. [1]
Kwong holds multiple degrees from institutions in the United States and Hong Kong. He earned a Bachelor of Science in Finance from the NYU Stern School of Business, a Bachelor's degree in International Business and Global Management and Finance from The University of Hong Kong, and a Master of Science in Computer Science from the University of Pennsylvania. [2]
Kwong began his career in traditional finance in 2018, working in fixed-income research at CITIC Securities in Beijing. In 2019, he joined Goldman Sachs as a Private Wealth Management Apprentice and later worked in private equity at Neuberger Berman. He returned to Goldman Sachs that same year, joining its Consumer and Investment Management Division (CIMD). From 2020 to 2021, Kwong was based in Hong Kong with CMB International, where his research focused on Asian bonds, with a specialization in China's property and industrial sectors. During this time, he became a lifetime member of the international business honor society Beta Gamma Sigma.
In 2021, Kwong transitioned to venture capital and the digital asset industry. He joined L2 Capital Management, where he worked until 2025, contributing to analyses of Special Purpose Acquisition Companies (SPACs) and private equity deals in sectors including blockchain, mobility, and aerospace. Concurrently, he served as a business strategy advisor for Master Snooker Kingdom. In 2022, he managed strategic mergers and acquisitions for the digital asset exchange Huobi Global and also became a venture partner at L2 Iterative Ventures, focusing on Web3 infrastructure and early-stage blockchain projects. In 2024, Kwong founded GAIB AI, where he serves as CEO. [2]
On the Presto Research podcast in September 2025, Kwong shared insights about his journey from traditional finance to the AI and crypto sectors. After working in various investment roles, he became interested in the intersection of AI and blockchain, particularly the potential to tokenize computing power in AI infrastructure. He highlighted that GAIB aimed to address challenges in financing AI cloud computing by enabling investments in tokenized GPU assets, with a focus on cash flow and revenue generation for investors. Connie discussed the significant demand for AI computing power and how GAIB's platform could create financial opportunities in the rapidly growing field, including their recent initiatives to integrate robotics into their offerings. [8]
In a June 2025 episode of Thinking on Paper, hosts Jeremy and Mark interviewed Kwong about the emerging concept of compute as a new form of currency within the AI economy. The discussion explored the rapid expansion of AI infrastructure, noting that from 2013 to 2023, companies in the US and EU attracted more than $560 billion in funding, with projections indicating the figure could surpass $1 trillion by 2030. Kwong explained how GAIB aims to tokenize and financialize GPU and AI infrastructure assets, enabling broader participation in the growing compute market. He addressed the challenges in both crypto and AI investment ecosystems and described GAIB’s model for bridging the gap between traditional finance and decentralized technologies. The conversation emphasized the substantial funding requirements anticipated for data centers by 2030 and GAIB's plan to invest in AI-related infrastructure more accessible to individuals. [6]
In an April 2025 interview with Emily Lai, Kwong discussed the rise of the AI economy, the importance of computational power, and GAIB’s role in bridging finance and infrastructure for AI. He explained that “compute” functions as the essential power source for AI systems, much like electricity does for machines, and that both training and running AI models require extensive GPU resources. Using examples such as OpenAI and Grok3, he highlighted the high costs and hardware demands involved in developing advanced models. Kwong also described the expanding applications of AI across fields such as healthcare, quantitative analysis, autonomous vehicles, and robotics, emphasizing the growing need for computational capacity to process complex data in real time.
He outlined GAIB’s model as a platform that tokenizes GPU assets to create new investment opportunities and supply funding to cloud and data center operators. According to Kwong, traditional capital sources such as revenue, venture funding, and debt financing often fall short for these infrastructure providers, making GAIB’s approach an additional financing channel for compute expansion. He explained that the company works with multiple data centers globally to standardize GPU tokenization and enable investors to gain exposure to GPU-backed assets. Kwong added that the yields generated through GAIB stem from real-world demand for GPUs from cloud companies, linking traditional cash flows with blockchain-based financial instruments. [3] [5]
At the GAIB keynote at BTCON Seoul in September 2025, Kwong discussed GAIB's objective of establishing itself as the economic layer for artificial intelligence and the computational infrastructure that supports it. He emphasized the importance of creating an on-chain AI infrastructure economy by tokenizing GPU assets, backed by AI demand and cash flow, to provide direct investment opportunities in this asset class. The speaker highlighted the challenges of liquidity in the GPU market and the need for a financial framework similar to that for gold, including tokenization and integration into decentralized finance (DeFi). The keynote introduced the AI dollar, a synthetic dollar that functions like a portfolio of tokenized GPU and robotic assets. The talk also elaborated on the company's engagement with several global cloud firms, emphasizing the significant capital requirements of the AI industry and GAIB's role in facilitating investment in AI infrastructure through innovative financial solutions. Overall, Kwong underscored the transformative potential of AI and the foundational role of computing resources in this new economic paradigm. [4]
In a panel discussion titled "AI-Fi Unleashed," held at Taipei Blockchain Week 2024, experts gathered to examine the transformative role of AI and blockchain in Web3 finance and onboarding. The speakers, including Tiffany Lai (0G Foundation), Han Jin (Bluwhale AI), Kwong, and Shayan Sanjideh (Movement Labs), highlighted the potential of these technologies to revolutionize financial systems and improve user experience. They discussed how AI could personalize interactions in Web3, making it more accessible and engaging for users familiar with Web2 environments. The panel also addressed the challenges developers face in integrating AI into decentralized finance (DeFi) and emphasized the importance of security and performance in these applications. Participants noted that the current landscape is still in its early stages, with significant opportunities for innovation in both AI infrastructure and decentralized applications, as well as the need for regulatory frameworks to guide these advancements. [7]