Chi-Hua Chien has spent over two decades as a venture capitalist, but he thinks like a cultural anthropologist. As a co-founder of Goodwater Capital—a firm exclusively focused on consumer and prosumer technology—he has built a portfolio spanning entertainment, healthcare, fintech, and live experiences, with investments in companies like MIDI Health, Fever, and Monzo. He was also, as a 27-year-old associate at Accel, the person who first identified a six-person company launched from Harvard: The Facebook.
That ability to read human behavior at scale informs everything from his view that Americans will never trust a single app with both their social lives and their finances, to his belief that the gap between the most advanced AI model and what you can run on your phone—once as wide as two years—will shrink to three months within the next year.
Today, Chien is also willing to say out loud what many in venture capital are only thinking: that the commoditization of the model layer is already underway, and that the biggest winners of the AI era won’t be the companies selling AI at all. In 2026, with large language models (LLMs) becoming increasingly accessible and standardized, this thesis is more relevant than ever.
We talked last week; this interview has been edited for length and clarity.
More founders and investors have been publicly sharing their grievances about VCs lately. What’s changed?
It’s part of the meme-ification of everything—you’re seeing what’s happening in the political realm bleeding over into the business side, and it’s probably also a sign of some peakiness in the market. The reason you’re seeing some outspoken investors talk more publicly is because venture firms have largely vertically integrated. The really big ones have enough capital that they’re not necessarily looking for syndicate partners. There used to be decorum around preserving good relationships with other co-investors, because you would work with them at different points along the line. As firms have grown bigger and vertically integrated, that need has diminished.
What about the “fast follow” rounds—where firms invest a large chunk at one valuation and a smaller amount weeks later at a much higher one, making the headline number look more impressive than it really is? Is this really new? How pervasive is it?
I think it’s been going on for quite some time. The best companies raise successive rounds very quickly—there might only be three to six months between rounds now, and valuations change really rapidly. Valuations are being marketed very aggressively as a way of demonstrating market leadership, attracting talent, and potentially blocking competition. There’s probably some element of frothiness; these fast financings are most illustrative of the fact that there’s way more demand than supply. An investor can come in, set a price, complete a financing, and then a couple of weeks later there’s still excess demand—so the company can immediately price a new round at a higher valuation.
You’ve argued that infrastructure companies get commoditized, and that applications capture most of the value over time. Are we already seeing that play out in this cycle?
If you look at the PC cycle, the web cycle, and the mobile cycle, they all follow fairly consistent patterns. Infrastructure market caps actually peaked in the year 2000—but fast-forward 25 or 26 years, and in nominal dollar terms, the market cap of those infrastructure companies has not surpassed that 2000 peak. In the web era, infrastructure new entrants produced $400 billion of new market cap; application companies created $3.1 trillion—88% of the new value. In the mobile era, it’s very similar: infrastructure produced about $700 billion, while application companies produced $3.7 trillion. Think of companies like Netflix, Spotify, Meta, Uber, and Airbnb.
As we move deeper into 2026, the AI commodity layer is becoming nearly indistinguishable across providers. Infrastructure giants like OpenAI, Google DeepMind, and Anthropic may win—but the real, enduring value is being built on top: in consumer apps, vertical AI solutions, and platforms that transform how we live and work.
via TechCrunch