PitchBook: In the first half of 2026, US VC investment reached $412.7 billion, with AI deals dominating the market.

Industry Background: Structural Shift in AI Investment

In the first half of 2026, the U.S. venture capital market reached a historic peak. According to the "Venture Monitor" report jointly released by PitchBook and NVCA, total VC investment in the first half reached $412.7 billion, an increase of nearly 30% compared to the full year of 2025. However, the driving force behind this figure is highly concentrated—artificial intelligence companies absorbed $355.9 billion, accounting for 86% of all capital. PitchBook describes this as a structural rather than cyclical shift: AI coding tools have lowered the cost of software construction, and foundational models provide entrepreneurs with underlying architectures that do not require self-development, fundamentally changing the barriers to entry and efficiency of AI entrepreneurship.

Capital continues to converge toward the top giants. In the first half, large deals of $100 million or more accounted for 87.5% of total investment, while deals below that threshold (though still the majority in number) only captured $51.4 billion, with their share declining from 43.8% in 2024 to 12.5%. In the second quarter, there were seven billion-dollar financing rounds totaling $87.2 billion, five of which went to AI companies: Anthropic ($65 billion), Prometheus, Anduril, Baseten, and Cognition AI. Anthropic's $65 billion financing brought its post-money valuation to $965 billion, surpassing OpenAI, while the round actually raised approximately $50 billion in new capital (as it included $15 billion in previously committed funds).

Market Impact: Reshaping of Exit Markets and Fundraising Landscape

On the exit front, SpaceX's $1.7 trillion IPO became the largest in history, with its issuance scale exceeding the total value of all U.S. VC-backed exits over the past decade. The IPO raised $75 billion, and its market cap surpassed $2 trillion on its first trading day. Additionally, in the first quarter, SpaceX acquired xAI for $250 billion and announced an all-stock acquisition of Cursor for $60 billion. Excluding SpaceX, second-quarter exit values would be close to the depressed levels of recent years. Cerebras Systems' $34.3 billion IPO became the second largest tech listing, but its stock price opened high and closed low. Both Anthropic and OpenAI have confidentially submitted IPO filings, and PitchBook expects both to generate two trillion-dollar exits.Fundraising also shows a similar trend of concentration. Venture capital firms raised a total of $72.4 billion from just 405 funds, nearly on par with the full year 2025 ($74.9 billion, more funds). Funds of $1 billion or more absorbed $49.5 billion. Andreessen Horowitz, Thrive Capital, and Founders Fund collectively raised $34.8 billion, accounting for 48% of all fundraising. Corporate venture capital participation fell to a ten-year low of 21%, indicating that parent companies are hoarding cash to cover their own rising AI expenditures. Venture debt reached $64.7 billion, but was concentrated in 280 loans, with SpaceX's $20 billion refinancing taking the lion's share.

Competitive Landscape: Who Benefits, Who Faces Pressure

The beneficiaries are clear: leading AI model companies (Anthropic, OpenAI) and infrastructure providers (Baseten) have received massive funding and seen their valuations soar. SpaceX has further consolidated its position in AI (xAI) and software (Cursor) through IPOs and acquisitions. Primary market funds (A16z, Thrive, etc.) continue to dominate quality deals thanks to their huge capital pools.

Those under pressure include: small and medium-sized VC funds, which face shrinking market share as they struggle to participate in large transactions; corporate VCs, which are forced to scale back due to limited funds from parent companies; and startups in non-AI fields, which face a harsher funding environment as almost all large capital flows into AI tracks.

Implications for Enterprises: Strategic Meaning of AI Investment Concentration

For corporate decision-makers, the market signal is clear: AI has become the absolute main line of venture capital. When formulating technology procurement and cooperation strategies, enterprises should pay attention to the ecosystem lock-in effects of leading AI companies—the IPOs of Anthropic and OpenAI will attract more capital and talent, and their model pricing power may further strengthen. At the same time, the heat of investment in AI infrastructure (inference, computing networks) indicates that enterprises need to plan ahead for cooperation with infrastructure providers (such as Baseten) to cope with changes in inference costs.

But high concentration also brings risks: if the commercialization returns of AI fall short of expectations, the entire market may face a "power-law" correction—even if AI succeeds overall, returns will be concentrated among a few winners, and many companies that raised funds at high valuations will be exposed to valuation adjustments. Enterprise customers should avoid over-committing to a single AI provider and maintain flexibility in their technology stack.

Future Outlook: Industry Evolution Over the Next 12-24 Months

Next 12 months: The IPOs of Anthropic and OpenAI will become the market focus and are expected to generate two trillion-dollar exits, further stimulating capital enthusiasm in the AI field. Large financings ($1 billion and above) will continue to dominate, but the market may usher in the first round of correction—if new models like GPT-5.6 fail to deliver the expected performance leap, investor confidence may be shaken.Next 24 months: Capital expenditure on AI infrastructure (inference, data centers) will accelerate, and the GPU supply-demand imbalance may shift toward the inference end. The ROI validation of enterprise AI applications (AI agents, customer service, marketing) will determine the next capital flow direction. If AI growth falls short of expectations, the US VC market could see a 15%-20% scale correction, with non-AI sectors gaining more capital rebalancing.

Three-year outlook: The AI industry will shift from a "training arms race" to an "inference scale competition," with significant drops in model prices driving enterprise-level AI adoption. However, the concentration trend across the VC ecosystem may spark new regulatory discussions—especially antitrust and national security reviews in the AI sector.