86% of H1 2026 Private Funding Went to AI Companies — Here's What That Means for Selling to Everyone Else

86% of private funding raised in the first half of 2026 went to AI companies, according to ZoomInfo CMO Dennis Sevilla’s analysis of roughly 4,900 large companies — pulling capital away from every other sector and stretching how long non-AI companies wait between rounds. Fifty-nine percent of the companies in the dataset have extended their funding gaps beyond historical patterns, and 46% have gone more than twice as long between rounds as they previously did. Software companies were hit hardest: 71.8% experienced longer funding gaps, averaging 5.2 years between rounds — a sharp slowdown from the venture-fueled cadence common earlier in the decade.

The more useful finding for sellers is what companies are doing instead of raising: 43% of companies that haven’t raised in over two years are still hiring and growing, funded from operating revenue rather than new investment capital. Sevilla reads that as a more disciplined, self-funded buyer profile, and his guidance follows directly: pitches need shorter payback windows (under 12 months), stronger financial justification, and urgency tied to the budget deadlines these self-funded companies already operate under — not messaging built around access to fresh capital. His own line: “Growth at all costs is not how these larger businesses operate any more.”

That capital concentration is visible from the funding side too. Jason Lemkin’s weekly deal recap the day before flagged Hugging Face at $12.9B, Cognition at $46B, and Clay at $7B in fresh valuations, alongside a headcount signal worth pairing with Sevilla’s data: companies growing 100%+ year-over-year increased headcount 133%, while companies growing under 50% added none. Fast-growing, AI-native companies are absorbing both the capital and the hiring.

For reps working a mixed pipeline of AI-native and legacy software accounts, the two data sets argue for genuinely different pitches — treating a self-funded, capital-efficient buyer the same as a flush AI-native one is the fastest way to lose the deal on price sensitivity alone.