Plus: VC hubs of the World Cup stage, borrowing to meet GP commitments & more
July 12, 2026  |  Log in   |  Read online   |  Manage your subscription  
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CVCs are spending more on less
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By Michael Bodley
Senior Reporter
7/12 weekender CVC AI VC investment

Jenna O’Malley/PitchBook

CVCs are participating in a decade-low percentage of all venture deals as corporates grapple with how best to use their dollars in the new AI era.

As corporate investors navigate ballooning AI bills, many are also focusing on larger and more impactful deals to transform their own businesses. Big-dollar investments into AI startups are getting done at the C-suite level, not through venture arms, said Nagraj Kashyap, general partner at VC firm Touring Capital and the former global head of M12, Microsoft’s venture arm.

CVCs and corporates participated in just 21.1% of US venture deals in the first half of 2026—a decade low—according to the Q2 2026 PitchBook-NVCA Venture Monitor. Yet they accounted for a record 82.6% of all deal value as they pile into later-stage VC rounds for in-demand AI startups.

While CVCs continue to invest in earlier-stage startups for returns, corporate development divisions acquiring or investing strategically in tech unicorns to advance their own businesses is what’s driving the deal value pop, Kashyap said.

“If I’m sitting at Amazon, or I’m sitting at one of these hyperscalers, I want these workloads on my cloud, not on somebody else’s cloud,” Kashyap said. “Frankly, the balance sheet growing is not the motivation.”

Companies, including Amazon, have been willing to invest multi-billion-dollar sums in AI startups to gain proprietary or preferred access to models and compute. Microsoft led the way with its initial OpenAI investment in 2019, making Azure the exclusive cloud provider for OpenAI at the time.

Publicly traded companies are warning investors of skyrocketing internal AI spend as compute and token costs climb with more advanced models. For instance, Uber burned through its entire 2026 AI coding budget in the first four months of the year, then capped per-tool spending. Meanwhile, Meta killed off its “tokenmaxxing” leaderboard and capped token use company-wide.

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TRIVIA
Power grid

Jenna O’Malley/PitchBook News

Energy M&A is booming as AI companies scramble for power. The biggest deal this quarter was NextEra buying Dominion—partly to control the grid over “Data Center Alley,” the world’s largest concentration of data centers. Where is it?

A) Silicon Valley, California
B) Austin, Texas
C) Northern Virginia
D) Suburban New Jersey


ICYMI

A selection from our most-read articles of the past few days.

• Which World Cup city is the best place for VC players? We look at each host city and rank them by VC deals, exits, fundraising and other data to find the one most welcoming to startups. See the charts

• Smaller buyout managers are increasingly borrowing to meet their own GP commitment requirements, raising questions about true alignment with LPs. Read more

• Headlines may get worse for BDC managers even if the redemption stress has peaked, says industry veteran Mark Goldberg. Read our Q&A


QUOTE/UNQUOTE

“Text-based interfaces are not a good user interface for AI. I don’t believe in a future where you’re just telling AI what to do, and it goes and does everything automatically by itself. We still want a very high-frequency, efficient, productive interface between human and AI.”

- Eren Bali, a founder who just raised $40 million in VC funding for his new startup Monogram AI. After making a name for himself in Silicon Valley through startups Udemy and Carbon Health, Bali is now focused on human interaction with technology. Read more in our latest Q&A


TRIVIA

Answer: C

Northern Virginia, particularly Loudoun County, hosts more data center capacity than anywhere else on earth. Cheap land, reliable power, and early infrastructure investments by AOL and others in the ‘90s set the area up to be the epicenter of the AI buildout. Read more


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This edition of The Weekend Pitch was written by Michael Bodley and Nadine Manske. It was edited by Kia Kokalitcheva and Nadine Manske.

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