The LLM Survivability Test
Verticals #29 — Vignesh Ravikumar & Brendon Schmidt of Sierra Ventures
This Week on Verticals
A reverse interview with Vignesh & Brendon at Sierra Ventures
The Claude 14 survivability test
How consensus capital destroys alpha
Why Vertical AI is fertile ground for contrarianism
VC hopes & fears in the era of AI
Brought to you by Parafin — the embedded finance platform behind Amazon, DoorDash, Gusto, WorldPay and many more. Learn more & support the show here!
There’s a question we ask nearly every founder we meet these days: it’s 2030-something and Claude 14 just dropped. It ingests any document, integrates with any system, spins up any basic analysis or BI. Why does your startup — as a vertical founder building in the application layer — still exist? Wildly theoretical, of course, but often telling. Founders skinning LLMs and reselling tokens tend to point to hazy future “data moats”… playing right into VC fears that they are building against capabilities that Anthropic, OpenAI, and Google are racing to commoditize.
This defensibility question featured centrally in this week’s conversation on Verticals with Vignesh Ravikumar and Brendon Schmidt of Sierra Ventures— a firm that’s been investing since 1982, with over $2B deployed to date. Vignesh cut to the core of the problem for VCs: with so much demand and so much capital chasing AI, how do investors tease out what’s real? The answer, uncomfortably, is that most of what’s being funded right now isn’t informed by a comprehensive thesis on longevity, but rather a need for speed. A desire to have “AI growth rates” in the portfolio.
Velocity can solve a lot, but it doesn’t solve everything. First-generation Vertical AI wedges (e.g. voice intake, scheduling, document summarization, etc.) work. Customers want them. They generate real results, real dollars. As we argued in Dude, Where’s My Moat?, however, the real question is whether you’re converting that speed into a structural advantage — data gravity, workflow loops, platform lock-in — before those wedges get commoditized and competition nukes your pricing power.
In some categories — especially in popular areas of horizontal AI — the window is closing faster than many think. Not just because LLMs are improving quickly, but also because VC consensus is accelerating. Brendon pointed out that last year, ~41% of all venture dollars concentrated into roughly ten companies. That capital consolidation has a second-order effect: it manufactures consensus. When a handful of funds control a disproportionate share of capital, the entire ecosystem — founders, downstream investors, even LPs — begins optimizing for what those funds want to see. As we explored in The Fundability Trap, the growing conflation of fundability and investability is a structural byproduct of this concentration.
The perennial problem with VC consensus is that it rewrites history. The narrative always gets manufactured after the winner emerges. Which means the broader ecosystem, paying attention to the here and now, will never learn from the dangers of bandwagoning onto a hype cycle. From 2006 to 2011, VCs poured $25B into cleantech — over half of that capital was lost. Around 2015, VCs trying to ride the wave of two truly contrarian on-demand commerce titans (Uber and AirBnB), burned billions more (Homejoy, Washio, Shyp, Luxe, SpoonRocket). Amidst the ~2020 D2C boom, breakouts Casper, Allbirds, Peloton, Blue Apron all grew on copious VC funding, went public, and then collapsed. In 2022, crypto funds raised over $18B, led by a16z ($4.5B) and FTX ($2B) — meanwhile, the vast majority of 2025 tokens are underwater. The story should be familiar: chasing the success of a model that worked in a big way leads to a consensus frenzy, which ultimately destroys massive amounts of capital. Yet because each hype cycle has its own new justification — and no one can ever definitively say where we are in any cycle — there is always an appeal to consensus.
So what does this mean for ambitious founders trying to answer the Claude 14 question? It means the answer probably isn’t do whatever is popular and working right now. And it certainly isn’t try to provide the same value that OpenAI or Anthropic are. The answer isn’t obvious. It probably requires the kind of earned domain insight that a three-month market scan can’t replicate. And it demands a path to defensibility that goes beyond “we’ll move fast” — that you need to do regardless.
Investors in AI face a different version of the same question. Do you back what everyone else is and jump on the consensus bandwagon? Or do you ignore the skepticism and FOMO that accompanies contrarianism? History would suggest being ahead of consensus is the only true path to VC alpha — while it pays to be a passenger on a beta train, hopping on when it’s already reached full speed is a dangerous game.
This week, we switched up the format. Vignesh & Brendon interview Nic on the above, and much more. Check out the full episode on Youtube, or wherever else you watch and listen. See you next week!
This episode was originally filmed as the debut of the DPI Podcast (Deconstructing Pre-seed Investing) — a new series from Sierra Ventures co-hosted by Vignesh Ravikumar and Brendon Schmidt that brings on top pre-seed investors to break down how they identify breakout companies, what themes they’re excited about, and how founders can find the right partners to build generational businesses. Check out the DPI Pod on Spotify, Apple, or YouTube. Huge thanks to Vignesh, Brendon & the Sierra team for having us on!
Jump to Key Moments from the Episode
00:00 Intro
03:01 The shift from vertical SaaS to vertical AI
08:18 How AI is changing the founder profile
12:24 Why customer discovery matters more than ever
18:55 How vertical AI startups beat incumbents
28:14 Why “speed” is NOT a moat
34:28 The rise of AI services businesses
39:35 The vertical AI sectors investors want most
42:39 How founders should position their company
49:25 Is contrarian investing still alive in venture?
58:59 The biggest mistakes founders make early on
01:09:12 Is SaaS actually dying?
Subscribe to Verticals to get new episodes every week, available wherever you watch or listen.