Dallas-based investment firm Disruptive has announced a $10 billion fund. It plans to back at least 10 late-stage companies with checks of up to $1 billion each. TechCrunch AI reports that the firm announced the fund on Tuesday. It’s one of the largest fundraises of the year, and the money is going where you’d expect: AI and defense, two of the most capital-hungry sectors in tech.
⚡ Quick Take
- The fund: $10 billion, aimed at a concentrated portfolio of at least 10 late-stage companies
- Check size: Up to $1 billion per company
- Focus: AI and defense
- The milestone: The Dallas Business Journal says it’s the largest venture fund ever raised in Texas
- The structural shift: This is Disruptive’s first blind-pool fund. Until now, the firm raised money one deal at a time
🏦 Who Disruptive Is
Alex Davis founded Disruptive in 2012. He’s the grandson of billionaire oil magnate Marvin Davis. The firm’s early bets include Palantir, Airbnb and Spotify. More recently it has put big money into AI chip startup Groq and AI voice-generation company ElevenLabs.
The returns explain how it raised this much. Bloomberg reported that Disruptive told its limited partners (LPs, the outside investors who supply the capital) that it has returned more than $6 billion on roughly $1.9 billion invested in startups. That’s better than a 3x return, and it makes the pitch to investors easy.
The raise also moved quickly. The Wall Street Journal first reported earlier this month that Disruptive was seeking the fund and already had at least $7.5 billion committed.
🔄 Why the Blind Pool Matters
What stands out to me is the change in structure.
Until now, Disruptive raised money through special purpose vehicles (SPVs). With an SPV, investors look at one specific company and decide whether to put money into that single deal. They know exactly what they’re buying.
A blind-pool fund works the other way. LPs commit capital before they know which companies the firm will back, so they’re betting on the manager’s judgment instead of a particular startup.
That matters for a few reasons:
- Speed. Disruptive no longer has to go out and raise money for every deal. When a hot AI company opens a round, the firm can commit right away.
- Scale. A $1 billion check is hard to assemble through SPVs. With a fund this size, it’s routine.
- Confidence. LPs signed up for $10 billion without seeing a target list, which says a lot about the track record behind the firm.
🤖 What This Says About AI Funding
The status quo in AI funding is already extreme. Frontier model labs, chip companies and infrastructure players are raising rounds in the billions, because training runs, compute and data centers cost so much. The defense tech companies coming out of the AI boom have the same problem, since hardware, manufacturing and long government sales cycles all eat cash.
Only a small group of investors can write checks that big. Mega-funds like this one exist because late-stage AI companies keep staying private longer and raising more money than traditional venture firms can handle.
The concentrated approach is a deliberate bet. Spreading $10 billion across only about 10 companies means Disruptive expects a handful of AI and defense winners to capture most of the value. If they’re right, the returns will be huge. If they’re wrong, there isn’t much diversification to cushion the losses.
🔮 What to Watch
- Who gets the checks. Groq and ElevenLabs are already in the portfolio, so follow-on rounds there are worth watching. So are new positions in defense tech.
- Valuation pressure. Another $10 billion chasing a small set of late-stage AI names could push valuations even higher.
- Texas as a capital hub. A record-setting fund out of Dallas adds weight to the idea that big tech money doesn’t have to come from Silicon Valley.
- The copycat effect. If other SPV-driven firms see LPs backing blind pools at this scale, expect more of them to make the same switch.
For founders building capital-intensive AI or defense companies, there’s now one more firm that can write a billion-dollar check. Getting picked will be the hard part, since there are only about 10 spots. Full details are available in the original TechCrunch AI report.