Funding & VC

Jumbo Series A Rounds Hit Multi-Year High as AI Fuels $33B Surge

Startups have closed at least 114 Series A rounds of $100 million or more this year, raising about $33 billion, with over 70% of the deals going to AI-focused companies.

By Daniel Okafor

2 min read

Updated

Jumbo-Sized Series A Rounds Are On The Rise
Jumbo-Sized Series A Rounds Are On The Risegwire / Openverse

What's News

  • At least 114 Series A rounds of $100 million or more closed globally this year, the highest annual total in years and on track to top the all-time peak, per Crunchbase data.
  • More than 70% of jumbo Series A rounds went to AI-focused startups, including River AI's $1.2 billion round and Xpeng Robotics' $900 million financing.
  • U.S.-based startups captured roughly half of the jumbo Series A deals — about 62 rounds worth around $15 billion — while AI startups overall drew an estimated $394 billion, or 77% of all investment capital, in H1 2026.

Global startups have closed at least 114 Series A rounds of $100 million or more so far this year, per Crunchbase data. That is the highest annual total in years and puts 2026 on track to top the all-time peak.

The scale goes well beyond the $100 million threshold. Collectively, this cohort of Series A recipients has raised around $33 billion this year, with at least 12 rounds valued at $500 million or more.

An AI-driven phenomenon

More than 70% of the $100 million-plus Series A rounds went to AI-focused startups, per Crunchbase data.

The group includes some of the year's largest early-stage financings. Silicon Valley-based River AI, a platform for developers to train and serve custom models, raised a $1.2 billion round. China-based Xpeng Robotics, a developer of AI-enabled humanoid robots, secured $900 million.

The concentration of AI deals tracks what Crunchbase has documented across all stages. In the first half of this year, venture and growth funding to artificial intelligence startups totaled an estimated $394 billion, roughly 77% of all investment capital. Most of that went to later-stage financings. But the Series A data shows early-stage does not look much different for AI's share.

US leads, but the money is spread wider than usual

Roughly half of this year's $100 million-plus Series A rounds and funding went to U.S.-based startups, per Crunchbase data. That translates to about 62 deals with a collective value of around $15 billion so far in 2026 — a pace that would set a record tally.

Even so, Series A megaround funding is more globally dispersed than overall venture investment. In the first half of 2026, more than three-quarters of global seed- through growth-stage financing went to American companies, largely due to megarounds for Silicon Valley-based Anthropic and OpenAI.

Why investors are piling in

Several factors beyond AI growth explain the rise in Series A megarounds. Leading startup investors hold exceptionally large capital reserves to deploy. Exit multiples — historically, and to an even greater extent recently — reward those who are anything but modest in their ambitions.

At Series A specifically, another factor may be at work: investors seem to agree more than usual on the sectors, business models and founding teams they want to back. And given that a pricey share of a winner still beats a discounted share of a laggard, they are piling into perceived early-stage leaders.

Crunchbase notes the dataset includes rounds explicitly announced as Series A as well as financings that had Series A characteristics but were not labeled as such by the recipient.

If the current pace holds, 2026 will set a fresh record for nine-figure Series A rounds — and the breadth of geographies and sectors sharing in the jumbo-round boom suggests early-stage competition for perceived winners will only intensify.

Original: crunchbase.com

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Daniel Okafor

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Correspondent covering business strategy at Business Bearings.

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