PitchBook: US startups raised $56B in Q2 2024, up 57% YoY and the highest three-month haul in two years; AI startups raised $27.1B, nearly half of the total
here's where investors are piling in Krystal Hu / Reuters : AI deals lift US venture capital funding to highest level in two years, data shows Dean Takahashi / VentureBeat : First look at Q2 2024 venture capital reveals continued struggle for deals | NVCA Pitchbook PYMNTS.com : AI Projects Push Venture Funding to a Two-Year High Brenda Kanana / Cryptopolitan : AI-driven surge boosts US venture capital funding to $55.6 Billion in Q2 Duncan Riley / SiliconANGLE : PitchBook: Global venture capital deals struggle amid economic uncertainties Sarah McBride / Bloomberg : AI Startups Inject Some Life Into VC Dealmaking in the US
Context & Ripple Effects
This quarter marked a return to growth in US venture funding, but the recovery was unusually concentrated: AI accounted for nearly half of the reported total. Later 2024 data showed that concentration persisted, with AI taking 36% of Q3 deal value despite representing 27% of deal count in the first three quarters AI's disproportionate share of 2024 VC value.
The pattern subsequently intensified rather than broadening evenly across startup categories. US funding rose again in H1 2025, driven by AI the AI-led H1 2025 funding rebound, while AI's share reached roughly two-thirds of US VC funding later that year AI's expanding share of US venture capital.
First-order effects
- AI startups gain a markedly larger pool of capital for hiring, model development and infrastructure, while the quarter's headline fundraising recovery is driven primarily by their large rounds.
- Non-AI startups face a different market than the aggregate total implies: venture activity may be improving, but capital is being allocated disproportionately toward AI companies.
Second-order effects
- Investors seeking exposure to the strongest-funded category are likely to concentrate follow-on reserves and new deal attention in AI, raising the competitive bar for startups in adjacent software markets.
- Large AI rounds can redirect venture-market benchmarks toward a small number of high-value financings, making total dollars a less representative measure of financing conditions for the typical startup.
Third-order effects
- If this allocation pattern endures, US venture capital becomes more dependent on a concentrated set of AI companies and large rounds, rather than a broad-based startup funding recovery.
- The progression from nearly half of funding in Q2 2024 to a substantially higher AI share in later coverage points to a durable shift toward AI-dominated venture allocation, though it remains unclear whether capital availability will spread to other sectors.
The trend: This is an early signal of frontier-lab capital concentration: AI increasingly sets both the scale and direction of the US venture cycle.