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The early-stage venture market has split into two extremes, eliminating the middle ground. Deals are either priced for hype at massive valuations (e.g., a $50M pre-seed round) or are considered bargains at very low valuations (e.g., $2-5M), forcing investors to choose a side.
The venture market is bifurcated, with a small group of high-profile AI companies—a 'Private Mag 7'—commanding massive valuations based on narrative strength. This elite tier operates in a different reality from the rest of the startup market, which still functions under more normative conditions.
The VC landscape has split into two extremes. A few elite firms and sovereign wealth funds are funding mega-rounds for about 20-30 top AI companies, while the broader ecosystem of seed funds, Series A specialists, and new managers is getting crushed by a lack of capital and liquidity.
The current fundraising environment is the most binary in recent memory. Startups with the "right" narrative—AI-native, elite incubator pedigree, explosive growth—get funded easily. Companies with solid but non-hype metrics, like classic SaaS growers, are finding it nearly impossible to raise capital. The middle market has vanished.
Y Combinator's model pushes companies to raise at high valuations, often bypassing traditional seed rounds. Simultaneously, mega-funds cherry-pick the most proven founders at prices seed funds cannot compete with. This leaves traditional seed funds fighting for a narrowing and less attractive middle ground.
Aggregate venture capital investment figures are misleading. The market is becoming bimodal: a handful of elite AI companies absorb a disproportionate share of capital, while the vast majority of other startups, including 900+ unicorns, face a tougher fundraising and exit environment.
The ideal period for venture investment—after a company is known but before its success becomes obvious—has compressed drastically. VCs are now forced to choose between investing in acute uncertainty or paying massive, near-public valuations.
The market has shifted beyond a simple AI vs. non-AI debate. The only metric that matters for private companies is extreme growth velocity. Startups demonstrating anything less are considered unfundable, creating a stark divide in the venture landscape.
A tale of two venture markets is emerging. Large, established mega-funds are raising the bulk of capital and deploying it rapidly. Meanwhile, smaller, emerging managers face a tough environment, with the rate of firms successfully raising a second fund hitting a five-year low.
True alpha in venture capital is found at the extremes. It's either in being a "market maker" at the earliest stages by shaping a raw idea, or by writing massive, late-stage checks where few can compete. The competitive, crowded middle-stages offer less opportunity for outsized returns.
Contrary to traditional wisdom, the most challenging part of the venture market is now the crowded and overpriced Series A/B. The speaker argues for a barbell strategy: either take massive ownership (15-20%) at pre-seed or invest in de-risked, late-stage winners, avoiding the squeezed returns of the middle stages.