$515.8 Billion Went to Startups in 9 Months. Most Founders Still Can't Raise a Series A

Investors poured $515.8 billion into startups over the past nine months, yet a large share of founders can't close a Series A at all. The money hasn't dried up. It has narrowed to a single lane: artificial intelligence.

Leah Solivan saw the pattern firsthand at a recent event for women entrepreneurs in Napa County, California. Many attendees had successfully raised seed rounds and were now stuck chasing their Series A. "If they don't have an AI story, no one is interested," said Solivan, who founded the gig economy platform TaskRabbit in 2008 and sold it to Ikea in 2017.

She tested the dynamic herself, making introductions for some of those founders to Series A venture capitalists she says she really respects. The result was blunt. "Probably more than half the time, the response was: 'We're just focused on AI. We're not even taking meetings with founders if it's not an AI-native company,'" Solivan recounted.

What happens to valuations on the AI side?

For companies that can credibly claim an AI angle, the market flips entirely — and not by a little.

"The valuations are crazy; they're obscene; they're like nothing I've ever experienced in the 20 years I've been doing this," said Solivan, who now makes seed-stage investments at Fuel Capital and early-stage investments at her newest firm, Precedent VC. Precedent VC is one of 294 firms on Inc.'s 2026 Founder-Friendly Investors list. Her verdict on the broader market: "It feels like the whole venture capital landscape has jumped the shark."

So the same $515.8 billion nine-month total that looks like a boom on paper is, in practice, a barbell. AI-native startups pull checks and premium multiples; nearly everyone else fights for scraps.

Is the distortion limited to venture capital?

No. According to the reporting, the AI gold rush has bent several corners of the private capital market at once:

• Venture capital — bifurcated most sharply, since VCs make earlier, riskier bets on leading-edge tech and have crowded into AI almost exclusively.
• Private equity — sponsors are now screening targets for durability against AI disruption, not just growth and margins.
• Private lending — lenders are reckoning with how automation could reshape the credit ecosystem itself.

The divide is simply loudest in VC, where the pattern has hardened into a rule of thumb: pitch a compelling AI product and you'll almost certainly get a check; pitch anything else and there's a good chance you're shown the door.

What does this change for non-AI founders?

In practice, it changes how a Series A actually gets done — or doesn't.

"The market is really bifurcated," said Jenny Fielding, co-founder and general partner at Everywhere Ventures, particularly for non-AI companies trying to move from seed to Series A. "Founders are kind of stuck, and as a result … they're just raising these endless top-ups and calling them 'seed ones' and 'seed twos.'"

That's the operative workaround of the moment: instead of a priced A round, founders stack incremental seed extensions to stay alive. It keeps the lights on, but it pushes out the milestone that traditionally signals institutional conviction — and it means more dilution raised at seed-stage terms.

For practitioners, the takeaway is straightforward. If your company has a legitimate AI-native story, this is arguably the richest entry window in two decades of venture history, by Solivan's own account. If it doesn't, the Series A as a default funding event has effectively paused, and the realistic playbook for 2026 is longer runways, tighter burn, and either a credible AI thesis or a path to revenue that doesn't depend on a bifurcated VC market reopening soon.