Introducing Newcomer’s VC… | Newcomer Newsletter Summary

1. Key Themes

AI infrastructure is favored over new foundation model bets

Investors remain enthusiastic about AI infrastructure but have grown skeptical of backing new foundation model startups outside the established major labs.

Substantiation: "Investors are bullish on AI infrastructure startups but have soured on new foundation model companies beyond the big labs."

Foundation model differentiation is seen as weak, raising doubts about defensibility

VCs believe most new model companies aren't technically differentiated, comparing them to transformer variants rather than breakthroughs — undermining the case for new entrants.

Substantiation: "They are all small variants on the transformer. They're not reinventions. I would be very interested if I saw something that is a new architecture."

Valuations for foundation model startups have become extreme, raising the bar for conviction

Entry prices have escalated to a point where even top investors describe the market as irrational, requiring near-certainty to justify participation.

Substantiation: "There's no entry price of, like, 100M-post. You're looking at entry prices in the billions. It's just nuts. It's nutty. And so if you're going to do those deals, you better be right."

Model vendors face a "hit-driven" business model risk, similar to gaming studios

Some investors frame foundation model companies as only as valuable as their next release, implying fragile, non-durable competitive moats.

Substantiation: "I compare them in some way to social gaming companies. Zynga was only as good as the next FarmVille. The same goes for these model vendors. They're only as good as their next model."

The report itself signals a broader market shift toward structured, systematic sentiment tracking

Newcomer is launching a recurring, quantitative + qualitative survey of top VCs — reflecting a demand for more rigorous, real-time visibility into private market sentiment beyond anecdote.

Substantiation: "This edition is the first in what will be a quarterly series, combining quantitative and qualitative information to measure both current sentiment and (eventually) how it's trending over time."

2. Contrarian Perspectives

Betting against the AI foundation model gold rush

While much of venture capital enthusiasm has centered on generative AI broadly, top investors are explicitly cooling on funding new foundation model labs, viewing them as commoditized and overpriced rather than differentiated technology plays.

Evidence: "They are all small variants on the transformer. They're not reinventions." combined with the framing that entry prices are now "in the billions" despite lack of genuine innovation.

Foundation model companies may lack durable moats despite massive valuations

Rather than viewing leading AI labs as generational, moat-protected businesses, some VCs equate them to hit-driven consumer gaming companies — a view that cuts against the popular narrative of AI labs as compounding, defensible platforms.

Evidence: "I compare them in some way to social gaming companies. Zynga was only as good as the next FarmVille. The same goes for these model vendors."

3. Companies Identified

OpenAI

Description: Leading AI foundation model lab.
Why mentioned: Referenced in a survey question about how VCs would handle existing shares, indicating it's a benchmark asset for private market sentiment.
Quote: "What would you do with shares in OpenAI?"

Anthropic

Description: AI foundation model lab and OpenAI competitor.
Why mentioned: Also used as a benchmark in the survey to gauge investor conviction/exit sentiment.
Quote: "What would you do with shares in Anthropic?"

Stripe

Description: Payments/fintech infrastructure company.
Why mentioned: Included among the handful of marquee private companies VCs were asked to assess for share-holding strategy, signaling its continued status as a top-tier late-stage private asset.
Quote: "What would you do with shares in Stripe?"

Zynga

Description: Social gaming company (historical reference).
Why mentioned: Used as an analogy to describe the fragility of AI foundation model companies' competitive position.
Quote: "Zynga was only as good as the next FarmVille."

4. People Identified

Eric Newcomer

Description: Author and founder of the Newcomer newsletter.
Why mentioned: Led the creation and interviewing process behind the VC Sentiment Report.
Quote: "So we got together 25 of the VCs we respect the most... and interviewed them systematically about the top questions of the day."

(Note: The 25 VCs interviewed are intentionally anonymous — "Their identities will remain confidential so that they can speak freely" — so no individual investors are named.)

5. Operating Insights

Scrutinize "differentiation" claims in AI pitches: Founders raising foundation model rounds should expect sophisticated investors to challenge whether their architecture is genuinely novel versus "small variants on the transformer" — pure scale or fine-tuning stories may face pricing skepticism.
Expect extreme pricing discipline at the frontier: With entry valuations described as being "in the billions" for foundational AI bets, operators in this space should anticipate investors demanding near-certainty ("you better be right") rather than optionality-based reasoning.
Position durability, not just model performance, as the pitch: Given the Zynga/FarmVille comparison, founders in AI labs should proactively address how they plan to avoid being "only as good as their next model" — e.g., via proprietary data, distribution, or platform lock-in.

6. Overlooked Insights

The survey methodology itself is a signal of market maturation: The report draws on "344 individual quotes" from "25 of the VCs we respect the most" representing "firms that manage more than $100 billion in AUM" — this scale of systematic, anonymized VC polling suggests growing institutional appetite for structured sentiment data akin to public-market investor surveys, a potentially significant shift in how private market trends get tracked and reported.
Dual-valuation/tranched funding rounds are emerging as a notable structural trend: The survey specifically probes "What are you seeing and how do you feel about dual-valuation / tranched rounds?" — a mechanism briefly flagged but not elaborated on, which could indicate deal structuring innovation in response to valuation uncertainty (e.g., hedging against AI bubble risk within a single financing).