AI giants are reshaping the venture capital landscape with astonishing valuations. Combined, Anthropic, SpaceX, and OpenAI are valued at over $5 trillion—exceeding the $4.1 trillion total market capitalization of 3,365 tech companies that went public between 1980 and 2025. Capital is rapidly concentrating among top firms; in the first half of the year, a16z, Founders Fund, and Thrive Capital raised $25 billion, accounting for nearly one-third of all new U.S. venture capital funding. Industry liquidity pressures are intensifying, leaving most VCs facing existential challenges. The extent to which AI’s benefits spread will directly determine the long-term trajectory of the VC model.Article author and source: Wall Street Journal
The AI wave is pushing the venture capital industry’s long-standing "spray and pray" logic to its limits.
Anthropic is expected to be valued at $2 trillion upon its upcoming IPO; SpaceX’s IPO on its first day this June was also valued at $2 trillion; and OpenAI is considering a private funding round at a $1.2 trillion valuation, with plans to go public next year. Together, just these three companies would surpass a combined valuation of $5 trillion.
According to data compiled by Jay Ritter, Emeritus Professor at the Warrington College of Business at the University of Florida, 3,365 technology companies completed IPOs between 1980 and 2025, with a combined market capitalization of $4.1 trillion on their first day of trading—three AI companies alone now exceed the total value of all technology IPOs over the past 45 years.
This extreme concentration of wealth is profoundly reshaping the flow of capital and competitive landscape in the venture capital industry.
In the first half of this year, just three firms—Andreessen Horowitz, Founders Fund, and Thrive Capital—collectively raised approximately $25 billion, accounting for nearly one-third of all new capital raised by U.S. venture capital firms during the same period. For most smaller VC firms, missing these key investments means being completely shut out from generational returns.
Meanwhile, the entire VC industry is grappling with a severe liquidity crunch. Since 2021, the scale of newly raised funds has continued to shrink, with substantial capital locked in overvalued "unicorn" assets, limited exit channels, and a growing structural divide within the industry ecosystem.
The unicorn bubble remains unresolved, and VCs are struggling to digest it.
The sky-high valuations of AI giants emerge against the backdrop of the broader VC industry's inability to absorb them.
After the Federal Reserve began raising interest rates in November 2021, many unicorns that relied on a low-interest-rate environment to support high-growth valuations found themselves in difficulty.
Interest in high-growth tech assets outside of AI has sharply declined in the stock market, forcing most unicorns to avoid going public at lower valuations.
According to PitchBook data, the total valuation of global unlisted unicorns has reached $5.3 trillion based on their most recent funding valuations. While the IPOs of Anthropic and OpenAI will help absorb some of this massive valuation backlog, it remains uncertain whether the remaining assets can truly deliver returns to investors.
Jay Ritter points out that VC funds lack transparency in how they value their assets, granting them considerable discretion: underperforming investments can retain their historical book value, while outperforming ones are marked to market, leading to a systematic overstatement of overall returns.
The concentration effect among top institutions is intensifying, revealing a Matthew effect in the industry.
Funds are rapidly concentrating among a few leading institutions.
In the first half of this year, Andreessen Horowitz, Founders Fund, and Thrive Capital collectively raised approximately $25 billion, accounting for nearly one-third of the new capital raised in the U.S. venture capital market during the same period.
These institutions commonly employ a blended strategy of early-stage and growth-stage funds, consistently attracting institutional investors through their scale advantages and brand reputation.
When the proceeds from the IPO of the AI giant are finally tallied, the exclusivity of the winner’s circle is expected to further intensify pressure from external capital seeking to enter these leading funds.
For most small and medium-sized VCs, the inability to participate in ultra-large funding rounds and the difficulty of achieving effective hedging through diversification strategies are fundamentally challenging their business model.
AI is disrupting private equity, prompting VCs to reposition themselves accordingly.
The AI boom has also provided VCs with a narrative window to challenge private equity (PE).
Andreessen Horowitz managing partner Jen Kha recently wrote that private equity has historically held a larger allocation, but the super returns generated by AI companies are "fundamentally changing this algorithm."
She also warned that AI's disruption of the enterprise software industry could place significant pressure on private equity firms, with some PE institutions that rely heavily on cash flow stability for their "software company acquisition and integration" strategy already experiencing notable losses.
However, this narrative has not yet been corroborated at the data level. Despite the continued rise in AI investment interest, new capital flowing into VC funds has generally contracted since 2021.
A large amount of capital remains locked in existing portfolios with limited circulation, and investors have not generally increased their overall allocation to venture capital. Whether VC can leverage the AI supercycle to redefine its industry position remains to be seen.
Whether the AI dividend can spread will determine the long-term trajectory of the VC model.
There is still disagreement over whether the current extreme concentration will permanently change the way VCs operate.
Some believe that the early benefits of AI are heavily concentrated among chip manufacturers, foundational model developers, and cloud platforms, exhibiting certain stage-specific characteristics.
As the broader technological ecosystem surrounding AI infrastructure matures, numerous startups focused on specific application scenarios will seize opportunities, and the wealth effects generated by AI are expected to spread to a wider range of investment areas.
If this diffusion effect materializes, the traditional VC logic of "broad diversification to offset numerous failures with a few winners" may be partially restored.
But if AI value creation continues to be concentrated among only a handful of platform-level companies, "betting on the right one" will completely replace "diversified investing" as the only viable survival strategy for the VC industry.