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.

In response to skyrocketing seed valuations, VCs are shifting their portfolio construction models. Instead of targeting a specific ownership percentage, the key decision is now what percentage of the total fund to deploy into a single deal. The focus has moved from ownership to the magnitude of the bet relative to the fund size.

The venture capital model is incentivized for size, not performance. LPs find it easier to deploy capital into large funds, and a GP of a $5B fund returning 1.01x earns more than a GP of a $500M fund returning 3x. This pressures entrepreneurs to accept massive checks at inflated valuations, distorting the market and potentially harming the company.

AI companies raise subsequent rounds so quickly that little is de-risked between seed and Series B, yet valuations skyrocket. This dynamic forces large funds, which traditionally wait for traction, to compete at the earliest inception stage to secure a stake before prices become untenable for the risk involved.

The flood of VC money in AI isn't just funding winners; it's creating highly-valued competitors that are too expensive for incumbents to acquire. This is preventing the natural market consolidation seen in past tech cycles, leading to a prolonged period of intense competition.

The time between AI startup funding rounds is shrinking dramatically, a pattern reminiscent of the dot-com bubble. This rapid re-valuation often outpaces actual enterprise value creation, creating significant risk as investor hype overwhelms fundamentals.

VCs are paying astronomical seed valuations (up to $200M) for AI infrastructure startups from 'legible' founders (e.g., ex-OpenAI). This high-risk strategy mirrors the 2021 market, where investment decisions are driven less by business viability and more by a VC's capital and access to play in a consensus-driven space.

The venture capital landscape is experiencing extreme concentration, with a handful of AI labs like OpenAI and Anthropic raising sums that rival half of the entire annual VC deployment. This capital sink into a few mega-private companies is a new phenomenon, unlike previous tech booms.

A circular economy is forming in AI, where capital flows between major players. NVIDIA invests $100B in OpenAI, which uses the funds to buy compute from Oracle, who in turn buys GPUs from NVIDIA. This self-reinforcing loop concentrates capital and drives up valuations across the ecosystem.