Agentic Commerce: Overhyped?

Earlier this year, I wrote an article on agentic commerce (link), arguing that agentic commerce might not be as big a deal as some were saying. In the ensuing few months, agentic commerce and its related discussion waned. Few signs of adoptions were observed.

Since August, Instinct (a personal AI agent app developed by a startup) and Muse (a personal AI agent app developed by Meta) have attracted the attention of both consumers and investors. On the consumer end, as of today, Muse is the No.1 most downloaded app across both Apple and Android. On the investor end, investors sold consumer-related stocks, in fear of the “disintermediation” risk—consumers might ditch existing e-commerce and food delivery apps and order via personal AI agent apps going forward.

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Software and The Land It Grows On

I used to work in the software industry. For a period of time, I held this view: Over the long run, the American B2B software industry might wither away.

My old reasoning was as follows: The fundamental value of B2B software comes from the fact that software engineers are expensive in the U.S. That means client companies cannot easily afford to build software in-house (attracting and maintaining software talent is costly) and therefore, they buy from vendors instead. In China, however, an abundant supply of high-skill and low-cost labor means something quite the opposite—with inexpensive software coders, Chinese companies tend to build software in house. Therefore, as we can observe, China’s B2B software industry is nowhere near as successful as the country’s consumer internet industry or the U.S. software industry. So, I thought my reasoning had legs.

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Agentic Commerce: A Big Deal or Not?

“Agentic Commerce” is in fashion. The media talks about it. Investors are mesmerized by it.

Like many new concepts, “Agentic Commerce” has a definition that is a bit fluid. It can be roughly defined as a way of online shopping where AI agents autonomously shop on behalf of a human consumer. The AI agents can interpret human intent, discover product options, optimize for constraints (prices, features, delivery speed) and complete transactions.

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Wealthfront (WLTH): An Undervalued Fintech

[I own Wealthfront stocks and I may change my opinion anytime. This is not investment advice and please do your own due diligence.]

Background

I studied Wealthfront (WLTH) in 2014 when the company was about 1/100 of its size today. Back then, I was attracted by WLTH’s automated investment technology. Some 11 to 12 years later, I am studying the company again, attracted by not only its technology but also the value of its equity.

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With AI, What Do We (Humans) Have Left in Us?

Industrial machines are more powerful in their physical power than any human who has ever lived—cars have more power than human legs. AI chatbots are more powerful in their intellectual IQ than any human who has ever lived—even locally hosted LLMs are impressively good; I am running several LLMs completely locally on my Nvidia RTX 50 series GPU. If what separates humans from machines is no longer our muscles or our IQ—it must be something beyond these.

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DoorDash 2025 Q1 Results—My Comments

[I own DoorDash stocks and I may change my opinion anytime. This is not investment advice and please do your own due diligence.]

DoorDash published its 2025 Q1 results earlier this month. Similar to the prior few quarters, DoorDash’s GOV exceeded almost all sell-side estimates and its AEBITDA landed within the range of its own guidance. The business continues to enjoy strong momentum, as reflected in its retention, order frequency, and market share. Thanks to the fundamentally human nature of “we have to eat” and “we like convenience,” DoorDash’s business so far has not been impacted by the ever-shifting macro environment.

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