Where the money of the top 100 US VCs and CVCs flowed in the first three quarters of 2026

[[**In the first three quarters of 2026, total U.S. venture capital reached $679 billion, a record high for the same period, but the nature of the capital has shifted from picking winners to directly purchasing the means of production—compute, power, wafer capacity, and defense contracts—with head concentration and CVC dominance becoming the most notable features.**

**Key Points**

**1. Capital is accelerating toward "capacity-ization," with Q3 financing concentrated in infrastructure assets**

U.S. companies raised approximately $515.8 billion in the first three quarters; Q3 saw no mega-rounds but 27 billion-dollar financings, most of them directed at data centers, GPUs, and power; cases such as Etched and Crusoe show that financing is being directly converted into compute, energy, and delivery contracts.

**2. Head concentration is extreme, with the average being 5.7 times the median**

Among a sample of 25 VCs, the top 10 companies by amount took 39.2% of financing; in the first half of the year, OpenAI and Anthropic accounted for 43% of total global venture capital. Fundraising by large funds was concentrated, and the number of new funds hit a low since 2011.

**3. CVC accounts for 87.9% of AI venture capital, as industrial capital reshapes the ecosystem**

Corporate venture capital already accounts for 87.9% of the dollar value of U.S. AI venture deals. Cloud providers use investments to lock in long-term cloud contracts; Nvidia's AI equity investments exceeded $40 billion in the first four months of 2026; and frontier labs have also begun using capital as a market strategy.

**4. Exit windows coexist with macroeconomic headwinds**

SpaceX completed the largest IPO in history at $8.6 billion, but OpenAI postponed to 2027, and Anthropic targets a valuation of about $2 trillion while facing an FTC case; against the backdrop of Fed rate hikes and a 10-year U.S. Treasury yield of 5.27%, the 27 billion-dollar financings still occurred.

**5. The market gap reveals that opportunities for latecomers lie beyond capacity**

Early-stage financing accounts for only 12.5%, and big money has already bought up key capacity, making conditions extremely unfavorable for latecomers; China's opportunity lies not in replicating huge amounts but in engineer density, supply-chain depth, and application scenarios not covered by the U.S. market's pricing mechanism. 2026-10-20 16:35 Capital Is Capacity: In the first three quarters of 2026, where did the money of the top 100 U.S. VCs and CVCs go? Daily Angel Briefing

This article is from the WeChat public account: Daily Angel, author: Kexia

An AI chip company's valuation doubled in 26 days; a personal agent company's valuation tripled in 33 days; a data center company raised $3.9 billion in a single round.

This was Silicon Valley in the third quarter of 2026. In the same quarter, the Federal Reserve raised rates for the first time in 14 months, the 10-year U.S. Treasury yield closed at 5.27%, and the FTC opened cases against both OpenAI and Anthropic.

Capital is reveling, interest rates are tightening, and giants are postponing listings.

This divergence is the reason we produced this report. We tracked 100 institutions in the core circle of U.S. technology investment (70 VCs/crossover funds and 30 CVCs/sovereign capital) and used public data to reconstruct funding trends in the first three quarters of 2026.

First, the conclusion: in 2026 U.S. venture capital, the nature of the money has changed. It is no longer just a vote to pick winners, but directly purchases the means of production—compute, power, wafer capacity, and defense contracts.

1. Three quarters, three kinds of money

In the first three quarters of 2026, global startup financing totaled $679 billion, the highest for the same period in history (according to Crunchbase, 2026-10). U.S. companies took about $515.8 billion of that, up about 44% year over year (according to PitchBook-NVCA Venture Monitor, 2026-10).

But this $679 billion is not the same kind of money.

The first quarter was lab money. U.S. venture capital in the quarter was $267 billion, with 5 deals accounting for 73%: OpenAI, Anthropic, xAI, Waymo, and Databricks (according to PitchBook-NVCA, 2026-05). OpenAI completed a $122 billion financing at the end of March, at a post-money valuation of $852 billion—the largest private round in the history of human business.

The second quarter was exit money. SpaceX completed an $8.6 billion IPO on June 12, the largest ever; global exits in the quarter totaled a record $113 billion, including 32 billion-dollar IPOs and 24 billion-dollar M&A deals (according to Crunchbase, 2026-07). Anthropic completed a $65 billion Series H on May 28 at a post-money valuation of $965 billion, overtaking OpenAI to become the highest-valued lab—on the same day, its IPO preparation was also advancing.

The third quarter was capacity money. No mega-rounds appeared again, but billion-dollar financings surged to a record 27 in the quarter, accounting for about one-third of the quarter's total (according to Crunchbase, 2026-10). Databricks and Safe Superintelligence (SSI) each took $5 billion, Crusoe took $3.9 billion, Mistral about $3.5 billion, Boring Company $3 billion, and Cognition more than $2 billion. The money did not decrease; it simply spread from "mega-rounds" into an "oligarch cluster."

It is worth emphasizing the structural signal of the third quarter: of the 27 billion-dollar financings, more than half pointed to the same category of assets—data centers, GPUs, and power. According to Crunchbase, in Q3 aerospace, robotics, data centers, semiconductors, and energy each saw more than $10 billion in financing, and among them, the five companies with $3 billion–scale financings were all founded no more than four years ago.

Late-stage money is buying the scarcest input of this era—capacity—at a pace of "one round every six months, each round bigger than the last."

II. Concentration: The average is 5.7 times the median

Jinqiu Ji tracked a sample of 25 VCs, providing a rare micro-level slice: among the 413 financings in Q3 2026, totaling about $54 billion, the top 10 companies by amount took 39.2%; the average deal size across the full sample was $137 million, while the median was only $23.98 million.

The average is 5.7 times the median.

This gap explains the true shape of the 2026 market better than any aggregate number. In PitchBook's methodology, the shape is even more extreme: in the first half of 2026, of the $412.7 billion in U.S. venture capital, 12 deals of $100 million or more accounted for 87.5%; OpenAI and Anthropic together accounted for 43% of total global venture funding in the first half.

Why must the money be this large? Because these companies' business models share one thing: capital can be directly converted into measurable capability.

Chip companies need to tape out, build fabs, and deliver racks; compute companies need to prepay for power and equipment years in advance; defense companies need to front capital for delivery cycles. Etched is the most representative sample of the year: in July, Jane Street participated in its financing as an investor; by August, it had tested chips, received its first racks, and begun deployment, and subsequently became the lead investor in a new round; during the same period, Etched disclosed more than $1 billion in customer contracts—investment, validation, and orders reinforcing one another in the same closed loop.

Crusoe's $3.9 billion Series F is the same: what it is buying is not growth, but the right to lock in energy, racks, and delivery cycles in advance.

III. Sectors: Applications have the most projects; infrastructure and defense carry the highest price tags

When the Jinqiu Fund slices the 25 VCs' Q3 deal-by-deal data by sector, two almost completely different rankings emerge.

By number of projects, AI 2B applications rank first (73 companies)—AI is making more and more niche needs worth founding companies for; by financing amount, AI compute and infrastructure rank first ($10.836 billion, 20.1%), defense second ($5.991 billion), and AI 2B applications third ($5.181 billion). Models had only 7 financings but took $4.878 billion, an average of nearly $700 million per deal.

Three structural threads deserve to be recorded separately.

The first is the debt-ification of neoclouds. In 2026, the financing structure of GPU clouds underwent a subtle change: Nebius issued $5.75 billion in convertible bonds, CoreWeave issued $3.7 billion in convertible bonds, Nscale issued $3.36 billion in convertible bonds (led by Third Point), and Lambda took a $926 million Class B term loan. Equity capital, convertible bonds, and project debt are mixed on the same balance sheet—venture capital is directly financing U.S. digital infrastructure through financial engineering. CoreWeave's revenue backlog on its books has reached $99.4 billion, a form that is a hybrid of "utility × leveraged buyout."

The second is the mainstreaming of defense. According to Dealroom, from 2026 to date, defense tech financing for NATO and allied countries has reached $27.1 billion, already 1.9 times the full-year 2025 total, with the United States accounting for 75%. Anduril completed a $5 billion round in May at a $61 billion valuation; Shield AI completed two rounds of $1.5 billion each within a year; even Saudi-backed funds and pensions like CPP Investments entered Helsing's $1.8 billion Series E. The venture capital industry, which once avoided military industry, has already made defense a core asset allocation.

The third is the "dumbbell-ization" of applications. Among AI 2B applications, three financings—Cognition, Harvey, and Lovable—totaled $2.95 billion, accounting for 56.9% of the disclosed amount in that sector; the individual financings of the many other application companies remain in the range of a few million to a few tens of millions of dollars. The application sector is stratifying itself: a few companies get "quasi-infrastructure" pricing, while the rest return to a conventional pace. Entrepreneurial opportunities are spreading, but superscale opportunities are not increasing in tandem—this is another explanation for large VCs' insistence on top-tier projects.

IV. 100 institutions: three kinds of activity, three kinds of money

Based on assets under management and public activity in 2026, we selected 100 core U.S. technology investment institutions and annotated for each a verifiable signature move this year.

The Q3 activity ranking shows a clear break. Y Combinator stands alone in a tier of its own with more than 221 seed rounds—the second place, Antler, has only 31; YC has in effect become the entire ecosystem's "pre-seed infrastructure." Insight Partners co-led 18 rounds, a16z led 16 rounds with about $6.5 billion led, the highest in the market, and Sequoia led 10 rounds.

Note that these three kinds of "activity" are not the same kind of money: YC is the option of batch incubation, Insight is the density of co-leading, and a16z is the concentration of lead-investment amounts. Platform VCs (a16z, Sequoia, Lightspeed, General Catalyst) have an equally exaggerated advantage on the fundraising side—a16z completed a record fundraising of about $15 billion across six funds in January; PitchBook data show that in Q1, 73% of all market institutional fundraising flowed to five top managers, and in all of 2025 only 101 new U.S. first-time funds were established, the fewest since 2011.

Big funds are getting bigger, and new funds are getting fewer. This trend will not be unfamiliar to Chinese readers.

V. The biggest financier is not VC: CVC's 87.9%

This may be the most underestimated number of 2026: according to a PitchBook analyst note (2026-07), corporate venture capital (CVC) already accounts for 87.9% of U.S. AI VC deal value—a historical record; AI also accounts for more than 90% of all CVC deal value.

The playbook falls into three categories. Cloud providers use investment to lock in models and long-term cloud contracts: in Anthropic's $65 billion Series H, Google solely led a $10 billion tranche and Amazon led a $5 billion tranche. Chip and infrastructure vendors use investment to bind the technology ecosystem: Nvidia alone made more than $40 billion in company-level AI equity investments in the first four months of 2026, participated in about 67 VC deals in 2025, and appears on the investor list of almost every neolab and neocloud. Frontier labs themselves have also begun to use capital as a market-entry strategy.

When industrial capital is simultaneously customer, supplier, and shareholder, the boundary of "independent judgment" is being rewritten. Nvidia's $30 billion to OpenAI, $10 billion to Anthropic, and $2 billion to xAI are essentially recycling chip profits into ecosystem control.

VI. Exits and macro: the window is open, but the wind is shifting

Money in the primary market ultimately needs an outlet in the secondary market, and the exit story in Q3 2026 is full of tension.

SpaceX completed the largest IPO in history with an $8.6 billion fundraising, and its market value was about $2.02 trillion in late September—but its share price first surged, then fell below the issue price, and then recovered, teaching a lesson to all latecomers. OpenAI postponed its IPO to 2027, and its CFO told the entire staff, "We will become a public company in 2027." Anthropic pushed its listing window to November, with reported target valuation of about $2 trillion and fundraising of up to $10 billion, and its prospectus even disclosed an "existential risk" warning. On September 30, the FTC opened investigations into both companies at the same time.

The macro coordinates are also worth recording: the Federal Reserve raised rates by 25 basis points in September, the 10-year U.S. Treasury yield closed at 5.27% and the 2-year at 4.87%; inflation rebounded and oil prices stayed high; in September, the CEOs of two labs rarely jointly called for "slowing down" frontier development.

The 27 billion-dollar financings were completed against this backdrop. This shows both the determination of capital and marks the coordinates of risk.

VII. Three trends

Judgment one: the "capacityization" of money is the most fundamental structural change of 2026. The way these companies are evaluated is shifting from TAM stories to capital expenditure density and contract visibility. Whoever's financing can be converted into capacity will have an anchor for valuation; for those who cannot convert it, no matter how moving the story, it will be exposed when this round of tide goes out.

Judgment two: CVC's 87.9% is not a cyclical phenomenon but the norm of capital organization in the AI era. Independent VCs' moats are being forced upward—either earlier (YC's 221 seed deals), or deeper (Eclipse's physical industries), or more concentrated (Benchmark-style all-in bets). Institutions in the middle are the most dangerous.

Judgment three: what observers should watch most is not the total but the gap. The gap of "average/median 5.7x" and the gap that early-stage amounts account for only 12.5% show that this is a market extremely unfriendly to latecomers—big money has already bought up key capacity. For early-stage Chinese technology investment, the window of opportunity is not in replicating huge amounts, but in what huge capital cannot buy: engineer density, supply-chain depth, and application scenarios systematically missed by the U.S. market's pricing mechanism.

Data definitions and source notes