Leo KoGuan, the founder of global IT solutions firm SHI International and one of Tesla’s largest individual shareholders, disclosed today that he acquired one million shares of Nvidia on Tuesday.
I was all-in-Tesla; I am still mostly in Tesla + T-bills
I bought 1 million shares of NVDA last night; plan to buy more.
I am convinced AI is NOT a bubble, it is only the beginning.
AI is the heart of KQID time engine.
KQID is AGI.
KQID is Singularity.
— KoGuan Leo (@KoguanLeo) March 4, 2026
The billionaire investor told Bloomberg that he intends to purchase one million more shares in the near future to support “the nervous market.”
KoGuan, who built his fortune with the major enterprise IT distributor, gained wider market attention as a prominent retail investor in Tesla, at one point becoming its third-largest individual shareholder. His net worth is estimated to be around $8.7 billion, per Forbes.
In a follow-up statement, KoGuan portrayed Tesla as physical, embodied AI and Nvidia as the enabling foundation of the AI stack. He said AI is information capable of thinking and acting like a living being, and described KQID as AGI, which he framed as a manmade sentient avatar of humanity.
Tesla is embodied physical AI; NVDA is an enabler foundational layer of AI. AI is information that thinks, reasons, acts, walks, works and lives.
KQID is AGI. AGI is manmade sentient being that is our avatar as human is the avatar of our Creator. Thus, we all are the children of… https://t.co/6HwYMhVlSj
— KoGuan Leo (@KoguanLeo) March 4, 2026
Nvidia produces graphics processing units that have become essential infrastructure for AI development and large-scale computing operations. The chipmaker’s hardware underpins much of the processing power required by data centers for training and running advanced machine learning models.
The company reported record fiscal 2026 revenue of approximately $216 billion, driven by a 68% jump in data center revenue. Strong AI demand fueled net income growth of 65% to $120 billion and GAAP earnings of $4.9 per share.
Disclosure: This article was edited by Vivian Nguyen. For more information on how we create and review content, see our Editorial Policy.
