AI Frenzy Splits Venture Capital Into Winners and Have-Nots, Squeezing Smaller Funds

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Main Takeaway
AI startups captured 61% of global venture funding in 2025 as mega-rounds above $100 million took 73% of AI deal value, leaving firms without AI exposure struggling to raise new capital.
Jump to Key PointsSummary
How AI is concentrating venture capital
Venture capital is splitting into two camps: those who bet on artificial intelligence and those who didn't. AI startups captured 61% of global venture funding in 2025, and mega-rounds above $100 million accounted for 73% of all AI deal value, according to PitchBook data cited by Ground News. The concentration is reshaping who gets to play. Fund investors, known as limited partners, are demanding exposure to top-tier AI companies and proof of returns from older bets before committing fresh capital.
Felix Capital, a firm that backed Peloton and Deliveroo, set out to raise $600 million early last year but is still $150 million short of its target, according to a person with knowledge of the matter who spoke to Bloomberg. The firm's non-AI track record isn't enough to convince limited partners who want to see their money flowing into the AI boom. This isn't an isolated case. Venture capital firms without strong AI portfolios are finding the fundraising environment punishing.
The widening gap between AI and non-AI startups
Startups not centered on AI technology are facing a uniquely difficult moment. A surge in artificial intelligence investment is driving record valuations and deal sizes while creating new challenges for everyone else, according to market experts speaking at the 2026 State of the Markets panel discussion in Spokane. Tom Simpson, CEO of business accelerator Ignite Northwest, noted that the panel highlighted how AI-focused companies are vacuuming up available capital at the expense of other sectors.
Bloomberg reports that limited partners want out of prior bets and are demanding proof of returns before committing to new funds. This creates a vicious cycle for firms that backed consumer hardware, food delivery, or enterprise software during the last cycle. Those investments haven't produced the distributions LPs expect, and without AI exposure, the firms can't raise fresh capital. The result is a bifurcation where AI specialists are oversubscribed and everyone else is scrambling.
The circular investment dynamic under scrutiny
One structural feature of the AI boom is drawing increased attention: the circular flow of money between major AI players and their smaller portfolio companies. Many big AI firms invest in smaller startups, which then use that capital to purchase the bigger firm's products and cloud services. This creates a closed loop that inflates revenue figures across the ecosystem. Grounds reports that this arrangement brings both risks and advantages, and it's becoming a focal point for skeptics who question whether AI revenue is as organic as it appears.
Sifted quotes Andreas Goeldi, a venture investor, who said he told colleagues internally that a significant retreat in Nvidia stock would be the signal of the bubble's end. Nvidia's stock recently plummeted more than 20% after soaring well over 100% in the previous year. Goeldi sees that drop as the signal he was waiting for. The circular investment pattern means that a pullback by any major player could cascade through the ecosystem quickly.
Why Nvidia's stock move matters
The recent tech stock selloff has spooked AI investors, but enthusiasm hasn't vanished. Sifted reports that while worries about revenue and valuations are real, there is still significant appetite in the market for AI deals. The Nvidia stock decline serves as a barometer because the chipmaker's GPUs remain vital to the AI boom. When Nvidia fell more than 20%, it validated concerns that the AI investment cycle was overheated.
Yet the pullback hasn't stopped the flow of capital to the biggest AI companies. Category leaders are still landing mega-rounds, and the window for AI fundraising remains open. Qubit Capital notes that founders need to right-size their raises to real traction rather than chasing the largest possible round. The AI funding environment is more selective now, but capital is still moving, just concentrated at the very top of the market.
What consolidation looks like for startups
VCs are predicting a tough consolidation period ahead, but not an end to the AI frenzy. Sifted reports that investors expect a shakeout where companies with weak fundamentals or circular revenue models will struggle, while those with genuine customer demand and differentiated technology will survive. The consolidation is already visible in the fundraising data. Smaller AI startups that can't crack the $100 million round threshold are finding it harder to compete for attention and talent.
Qubit Capital's analysis shows that only category leaders are landing the mega-rounds that dominate the AI funding statistics. Founders who raise too much too early risk setting valuation expectations they can't grow into. The advice from investors is to right-size raises to real traction and avoid getting caught in the hype cycle. The OECD's data on venture capital investments through 2025 confirms that the concentration of capital into AI is a global phenomenon, not just a US bubble.
What happens next
The venture capital industry is undergoing a structural shift that will outlast any short-term market correction. Firms that missed the AI wave are facing an existential fundraising crisis, while those who got in early are sitting on paper gains that limited partners want to see converted into cash returns. The Felix Capital situation, still $150 million short of a $600 million target, is a warning sign for any firm without a credible AI story.
Bloomberg's analysis indicates that the split between winners and have-nots will deepen before it resolves. Returns from older funds need to materialize, and the circular investment patterns need to unwind, before the market can find a sustainable equilibrium. For now, the AI frenzy continues to concentrate power and capital into fewer hands, and the gap between the two tiers of venture capital keeps widening.
Key Points
AI startups captured 61% of global venture funding in 2025, with mega-rounds above $100 million taking 73% of AI deal value.
Felix Capital is $150 million short of its $600 million fundraising target as limited partners demand AI exposure and proven returns.
A circular investment pattern has major AI firms investing in startups that then spend that capital on the investors' products.
Nvidia's stock dropped more than 20% recently, which some investors view as a signal the AI bubble may be correcting.
VCs predict a tough consolidation period ahead where startups with weak fundamentals and circular revenue models will struggle.
Questions Answered
AI startups captured 61% of global venture funding in 2025, according to PitchBook data. Mega-rounds above $100 million accounted for 73% of all AI deal value, showing extreme concentration at the top of the market.
Felix Capital is $150 million short of its $600 million target because limited partners want exposure to AI companies and returns from older funds before committing new capital. The firm's track record with companies like Peloton and Deliveroo isn't meeting the current demand for AI-focused investments.
The circular investment problem refers to big AI players investing in smaller startups that then use that capital to purchase the investing firm's products and services. This creates a loop that inflates revenue on both sides and raises questions about whether the demand is organic.
Nvidia's stock dropped more than 20% recently, which some investors see as a signal of correction. However, capital is still flowing to category leaders, and VCs expect a consolidation period rather than a crash, where startups with weak fundamentals will struggle while strong ones survive.
Startups not centered on AI technology are facing significant challenges raising capital. The venture capital market is prioritizing AI exposure, and limited partners are demanding AI-focused portfolios, leaving non-AI startups in a difficult funding environment.
Mega-rounds above $100 million are concentrating value among category leaders, making it harder for smaller AI startups to compete for attention and capital. Founders are advised to right-size their raises to real traction rather than chasing the largest possible rounds.
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