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.
Despite headline figures suggesting a venture capital rebound, the funding landscape is highly concentrated. A handful of mega-deals in AI are taking the vast majority of capital, making it harder for the average B2B SaaS startup to raise funds and creating a deceptive market perception.
LPs are concentrating capital into a few trusted mega-firms, leading to oversubscribed rounds for top players. Simultaneously, a decline in deal formation and liquidity is causing a potential 30-50% "extinction rate" for smaller, emerging managers who are unable to raise subsequent funds.
The focus on AI among institutional investors is so absolute that promising non-AI companies risk "dying of neglect" and being unable to secure follow-on funding. This creates a potential opportunity gap for angel investors to fund valuable businesses in overlooked sectors.
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.
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 AI boom is masking a broader trend: venture fundraising is at its lowest in 10 years. The 2021-22 period created an unsustainable number of new, small funds. Now, both LPs and founders are favoring established, long-term firms, causing capital to re-concentrate and the total number of funds to shrink.
Seed funds that primarily act as a supply chain for Series A investors—optimizing for quick markups rather than fundamental value—are failing. This 'factory model' pushes them into the hyper-competitive 'white hot center' of the market, where deals are priced to perfection and outlier returns are rare.
AI startups' explosive growth ($1M to $100M ARR in 2 years) will make venture's power law even more extreme. LPs may need a new evaluation model, underwriting VCs across "bundles of three funds" where they expect two modest performers (e.g., 1.5x) and one massive outlier (10x) to drive overall returns.