PitchBook: in H1, AI startups raised $104.3B in the US, or ~66% of all US VC funding, up from 49% last year, and there were 281 VC-backed exits totaling $36B
Context & Ripple Effects
AI had already become the largest destination for US venture dollars: AI startups raised a record $97B in 2024, while earlier 2024 data showed AI attracting a disproportionately large share of both deal value and count. H1’s 66% share indicates that concentration accelerated rather than merely persisted.
The result also sits alongside AI’s 64% share of US venture funding in H1 2025 in related coverage, while 281 VC-backed exits worth $36B provide a separate read on the market’s available liquidity.
First-order effects
- US AI startups gain a substantially larger claim on the venture capital pool, while non-AI startups must compete for the remaining roughly one-third of funding.
- The reported 281 exits, totaling $36B, create liquidity events for the companies and investors involved, even as funding is concentrated in AI.
Second-order effects
- Funds seeking exposure to AI are likely to concentrate diligence and follow-on reserves around AI portfolios, increasing financing pressure on startups outside the category.
- Exit proceeds can be recycled into new investments, but the reported funding mix suggests that much of any renewed deployment will favor AI rather than broadly lifting venture activity.
Third-order effects
- If this allocation persists, US venture investing could become more bifurcated: a smaller set of AI companies attracts large rounds while other sectors face longer fundraising cycles and more valuation discipline.
- The pattern supports the broader shift toward AI’s outsized share of VC deal value, making capital concentration—not simply overall venture volume—a central measure of the market’s direction.
The trend: US venture capital is increasingly being organized around AI, with funding concentration and eventual exit liquidity determining how much capital remains available to the rest of the startup market.