Etzioni on AI: The Virgin Unicorns – GeekWire
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by Oren Etzioni on May 24, 2026 at 7:26 amMay 24, 2026 at 7:26 am
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Twelve AI labs have a combined valuation larger than Ford and GM. None of them sell anything. I call them the Virgin Unicorns — valued above a billion dollars, but innocent of product or revenue.
OpenAI proved that an AI research lab with the right product could become one of the most valuable companies on earth. A dozen other AI labs are trying to repeat the trick. They have raised more than $29 billion at a combined valuation approaching $130 billion, without shipping anything a customer can buy.
Two questions are worth asking:
Why are sophisticated investors writing growth-stage checks to pre-companies?
What does history say about how this story ends?
Top Virgin Unicorns
Company<br>Founded<br>Founders<br>Valuation<br>Raised<br>Lead Investors<br>Product
Project Prometheus<br>2025<br>Bezos, Bajaj<br>$38B<br>$16.2B<br>JPMorgan, BlackRock, Bezos<br>None
Safe Superintelligence<br>2024<br>Sutskever, Gross, Levy<br>$32B<br>$3B<br>Greenoaks, Sequoia, a16z, Lightspeed, DST, Alphabet, Nvidia<br>None
Thinking Machines Lab<br>2025<br>Murati, Schulman, Zoph, Weng<br>$12B<br>$2B<br>a16z, Nvidia, AMD, Cisco, Accel, Jane Street<br>Tinker*
Reflection AI<br>2024<br>Laskin, Antonoglou<br>$8B<br>$2.1B<br>Nvidia, Lightspeed, Sequoia, Schmidt, Citi, 1789 Capital<br>None
Physical Intelligence<br>2024<br>Levine, Finn, Hausman, Ichter, Groom<br>$5.6B<br>$1B+<br>CapitalG, Lux, Thrive, Bezos, T. Rowe Price, Index<br>Demo
Ineffable Intelligence<br>2025<br>Silver, Czarnecki, Espeholt, Oh<br>$5.1B<br>$1.1B<br>Sequoia, Lightspeed, Nvidia, Google, UK Sovereign AI, Index<br>None
World Labs<br>2024<br>Li, Johnson, Mildenhall<br>$5B<br>$1.2B<br>a16z, NEA, Radical, Nvidia, AMD, Autodesk, Emerson Collective<br>Marble*
Recursive Superintelligence<br>2025<br>Socher, Rocktäschel, Tian, Clune, Tobin<br>$4.65B<br>$650M<br>GV, Greycroft, Nvidia, AMD<br>None
Unconventional AI<br>2025<br>Rao, Carbin, Achour, Lee<br>$4.5B<br>$475M<br>a16z, Lightspeed, Sequoia, Lux, DCVC, Bezos<br>None
Humans&<br>2025<br>Zelikman, Harik, Peng, He, Goodman, and others<br>$4.48B<br>$480M<br>SV Angel, Harik, Nvidia, Bezos, GV, Emerson Collective<br>None
Ricursive Intelligence<br>2025<br>Goldie, Mirhoseini<br>$4B<br>$335M<br>Lightspeed, Sequoia, DST, Nvidia, Felicis, Radical<br>None
AMI Labs<br>2025<br>LeCun, LeBrun<br>$3.5B<br>$1.03B<br>Cathay, Greycroft, Hiro, HV, Bezos Expeditions, Nvidia, Samsung, Temasek<br>None
Total
~$127B<br>~$30B
* Limited research release. Tinker is a fine-tuning tool for researchers; Marble is a 3D-world-generation API in early partner access. Neither is a general-availability commercial product.
Sources: company announcements, Bloomberg, Financial Times, TechCrunch, Crunchbase, and PitchBook reporting from 2024-2026. Valuations reflect the most recent confirmed round; figures for rounds in active negotiation are not included.
To answer these questions, let’s identify four patterns across this cohort of companies.
Pattern 1: The pedigree premium. Every founder is a recognized leader in their field, and most come from a small set of institutions. Roughly four-fifths hold PhDs, mostly in computer science from a handful of universities — Berkeley, Stanford, MIT, Toronto, Alberta, Cambridge, UCL — and most of the rest left PhDs at one of those programs to start their companies.
On the employer side, the concentration is tighter still. Four of the twelve companies are anchored by DeepMind alumni (Ineffable, Reflection, Ricursive, Recursive Superintelligence). Two are anchored by OpenAI alumni (Thinking Machines, Safe Superintelligence). AMI Labs traces back to Meta’s FAIR group, and Humans& draws its founders from across Anthropic, xAI, and Google. Stanford and Berkeley faculty appointments account for most of the rest (World Labs, Physical Intelligence, and Noah Goodman of Humans&).
Four institutions — DeepMind, OpenAI, Berkeley, and Stanford — have produced the founders of nearly every Virgin Unicorn in the table. Investors are pricing CVs, not products.
Pattern 2: Nvidia as kingmaker. Nine of the twelve companies in the table have Nvidia as an investor. The supplier of the picks and shovels is also an equity holder in the prospectors. Nvidia gets early visibility into the most ambitious AI bets, locks in compute commitments, and earns multiples on capital deployed at near-zero marginal cost. Selling the shovels was already a good business. Owning the mines too is unprecedented.
Pattern 3: The cap tables are unusually wide. Each round in the table includes a syndicate of ten to twenty investors — venture firms, corporate strategics, sovereign wealth funds, and individuals. Sequoia and a16z still lead. But the rounds are large enough that they require balance-sheet capital — from JPMorgan, BlackRock, Alphabet, the UK Sovereign AI Fund, Samsung, Temasek, ADIA, and Bezos personally — to fill out. That makes these rounds structurally different from classical venture financings.
Pattern 4: A...