PitchBook

86% of US venture funding in H1 2026 went to AI startups, making PitchBook a central data source for coverage of a sharply concentrated private-market boom.

Who they are

PitchBook appears in coverage as a provider of private-market financing, valuation and venture-capital data. Its figures supply context for startup acquisitions and IPO-adjacent stories, including funding histories for Koi Security, GPTZero, Kumo, Rivr and earlier companies such as Nod.ai and TaxJar, while its research is also cited directly in reports on US venture, crypto and defense-tech activity.

The recent arc

Coverage reached its all-time quarterly peak in 2026Q2, shifting from PitchBook as a supporting source on individual transactions to PitchBook as the basis for broader assessments of the venture market. The July 2026 SiliconANGLE reports led with its estimate that US venture funding hit $412.7B in H1 2026, with AI accounting for $355.9B, while the Financial Times cited its defense-tech funding data and CNBC used its unicorn analysis to describe pressure on older startups.

That macro role has not displaced its deal-data function. June stories cited PitchBook valuations or fundraising in Superhuman's acquisition of GPTZero, Nvidia's acquisition of Kumo, and Amazon's acquisition of Rivr; earlier coverage similarly used the firm to quantify companies in transactions involving Palo Alto Networks, AMD, Google and Stripe. Together, those citations show PitchBook functioning both as transaction infrastructure and as a measure of where private capital is accumulating.

The tension

The coverage centers on a bifurcated venture market: AI is absorbing an outsized share of new US capital and producing large rounds, while many pre-ChatGPT-era unicorns appear unable to secure fresh financing. PitchBook's finding that half of US unicorns have not raised in three years, alongside its estimate that more than a quarter of VC-backed unicorns have become “undercorns,” contrasts directly with the AI-led funding surge tracked in its H1 2026 data.

Why it matters

If this pattern persists, PitchBook's data will remain important not merely for pricing individual acquisitions but for testing whether AI investment is broadening into a healthier venture cycle or concentrating capital among a small set of companies and mega-rounds. The unresolved private-market backlog among inactive or fallen unicorns could shape exits, acquisitions and IPO readiness even as AI and defense-tech funding expand.

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