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]

Education

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]

Career

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]

GAIB

As the founder and CEO of GAIB, Kwong leads the company's mission to build what he terms the "economic layer for artificial intelligence." The platform aims to address the significant capital requirements of the AI industry by tokenizing real-world computational assets, primarily Graphics Processing Units (GPUs), and making them accessible to investors. This model is designed to provide an alternative financing channel for data center operators and cloud providers who face challenges securing sufficient capital through traditional means like venture funding or debt. ^{[3] [4]}

The platform works with global data centers to standardize and tokenize GPU assets, creating investment instruments backed by real-world cash flows from the rental of these resources to cloud companies and AI developers. The yields generated for investors are directly linked to this demand. As part of this ecosystem, Kwong introduced the concept of the "AI Dollar," a synthetic dollar designed as a portfolio of tokenized GPU and robotic assets. This instrument is intended to function as a stable, yield-bearing asset backed by the productive capacity of the on-chain AI infrastructure economy. ^{[5] [4]}

Views on AI and Finance

Throughout his public appearances, Kwong has articulated a vision for the financialization of AI infrastructure, centered on the idea of "compute" as a new asset class. He frequently draws an analogy between computational power for the AI era and electricity for the industrial age, describing it as the fundamental resource driving innovation. He argues that the immense and growing demand for GPUs to train and run AI models has created a valuable asset class that requires new financial models. ^[6]

Kwong has cited projections that funding for AI-related infrastructure in the U.S. and EU could surpass $1 trillion by 2030, highlighting the capital-intensive nature of the industry. He posits that tokenizing these physical assets creates a more liquid and accessible market, allowing a broader range of investors to gain exposure to the growth of AI hardware while providing necessary capital to infrastructure operators. He advocates for creating a financial framework for compute assets similar to that of established commodities like gold, using tokenization and decentralized finance (DeFi) integration to solve liquidity challenges. ^{[6] [4]}

Public Appearances

Panels

AI-Fi Unleashed at Taipei Blockchain Week 2024

In a panel discussion at Taipei Blockchain Week 2024, Kwong joined other industry figures to discuss the integration of AI and blockchain, a convergence sometimes referred to as "AI-Fi." The panel explored AI's potential to enhance user experiences in Web3 by making decentralized platforms more personalized and accessible, similar to Web2 environments. The speakers also addressed the technical and security challenges developers face when integrating AI into DeFi applications. Kwong and his fellow panelists noted that the field was in its early stages and emphasized the need for robust security, high performance, and clear regulatory frameworks to guide future development. ^[7]

Interviews

Interview with Emily Lai (April 2025)

In an April 2025 interview, Kwong elaborated on the foundational role of compute in the AI economy. He explained that both the training and operation of advanced AI models, citing examples like Grok-3's reported use of 100,000 H100 chips, require extensive and costly GPU resources. He discussed the expanding applications of AI in fields like healthcare, autonomous vehicles, and quantitative finance, all of which drive the demand for computational capacity. Kwong detailed GAIB's model for tokenizing GPU assets as a solution to provide an alternative financing channel for infrastructure providers, stating that the yields are derived from real-world cash flows generated by cloud companies leasing the GPU power. ^{[3] [5]}

Thinking on Paper Podcast (June 2025)

During a June 2025 episode of the Thinking on Paper podcast, Kwong discussed the concept of compute as an emerging form of currency in the AI economy. He highlighted the rapid growth in AI-related funding, noting that companies in the U.S. and EU attracted over $560 billion between 2013 and 2023, with projections suggesting the figure could exceed $1 trillion by 2030. He explained GAIB's strategy to financialize GPU infrastructure assets through tokenization, thereby making investment in the compute market more accessible. The conversation also covered GAIB's model for bridging traditional finance with decentralized technologies to meet the AI industry's substantial capital demands. ^[6]

Presto Research Podcast (September 2025)

On a September 2025 episode of the Presto Research podcast, Kwong recounted his career transition from traditional finance to the AI and crypto sectors. He explained that his work at GAIB was focused on solving financing challenges in AI cloud computing by offering investments in tokenized GPU assets that generate cash flow. He emphasized the significant and growing demand for AI computing power and mentioned that GAIB was expanding its initiatives to include the tokenization of robotics infrastructure. ^[8]

Presentations

BTCON Seoul Keynote (September 2025)

At BTCON Seoul in September 2025, Kwong delivered a keynote presentation outlining GAIB's objective to build the "economic layer for artificial intelligence." He detailed the company's strategy to create an on-chain AI infrastructure economy by tokenizing GPU assets. He stressed that this approach addresses liquidity challenges in the hardware market and provides direct investment opportunities backed by real-world demand and cash flow. During the presentation, he formally introduced the "AI dollar," a synthetic asset designed to function as a portfolio of tokenized GPU and robotic assets, aiming to create a stable, yield-bearing instrument for the DeFi ecosystem. ^[4]