Factory workers, rejoice—or tremble. A squad of OpenAI alumni just inked the first close on their $100M fund, Zero Shot, funneling cash to robotics and enterprise tools that could automate your grunt work overnight.
But here’s the kicker: these aren’t random VCs. They’re the OGs who shipped DALL·E, ChatGPT, and Codex. Now they’re playing gatekeeper, picking winners while torching trendy flops.
Look, if you’re a founder pitching ‘AI for everything,’ this crew’s skepticism might just kill your round.
Why OpenAI Dropouts Make Terrifying Investors
Evan Morikawa—ex-head of applied engineering at OpenAI—now at robotics outfit Generalist. Andrew Mayne, the OG prompt wizard and podcast host. Shawn Jain, engineer-turned-VC with his own GenAI startup Synthefy. Throw in VC vet Kelly Kovacs from 01A and Brett Rounsaville from Twitter/Disney, and you’ve got a dream team. Or nightmare, depending on your pitch deck.
They’ve been buddies since OpenAI’s pre-ChatGPT days, swapping war stories through the hype storm. Post-exit, VCs begged for their hot takes on AI deals. Founders hit them up for advice. Serendipity? Nah. Inevitable.
“We’ve been friends for years,” Mayne told TechCrunch, a line that drips with insider coziness.
One $20M first close down. Checks already cut to Worktrace AI (enterprise automation, $10M seed with Mira Murati’s backing) and Foundry Robotics ($13.5M seed led by Khosla). Third one’s stealth. Fast movers.
What Startups Are They Actually Funding?
Worktrace AI sniffs out enterprise tasks ripe for automation—smart, if you’re tired of managers playing detective. Angela Jiang, ex-OpenAI PM, leads it. OpenAI’s own fund chipped in. Cozy.
Foundry Robotics? Next-gen factory bots with AI brains. Real hardware, not vaporware. If this scales, your assembly line’s getting an upgrade—or pink slip.
They’re eyeing builders they know, folks spilling from OpenAI labs. Gap-filling where market’s blind. But wait—unique angle here: this fund’s less VC, more talent poach. OpenAI alums aren’t just investing; they’re corralling their network into a self-reinforcing AI empire. Remember Netscape’s old guard birthing web VC giants? Same playbook. Except now it’s AGI-adjacent, and regulators are watching Big Tech consolidation like hawks. Antitrust whiff? You bet.
Short para: Bold.
And sprawling one: These investments scream practicality—automation software that discovers tasks (no more guessing), robotics shrugging off video-data hype—but let’s unpack the misses, because that’s where the real juice is, the stuff that separates prophets from chasers, and hints at why Legal AI Beat cares: if insiders like these dictate AI’s path, who governs the governance? Their bets could turbocharge tools skirting IP lawsuits or data privacy minefields, or pile on compliance nightmares for underdogs.
Medium. They’re skipping the noise.
Is ‘Vibe Coding’ Doomed? Their Take
Mayne’s bearish on vibe coding platforms. Why? Model makers like OpenAI will bake it in, nuking subscriptions. Brutal, but spot-on—why pay when GPT-Next does it free-ish?
Morikawa hates ergo-centric video data firms in robotics. “There’s a lot of hoping and praying going on right now that someone in the research world will figure out how to transfer the embodiment gap,” he told TechCrunch, “but that’s nowhere near possible.”
“There’s a lot of hoping and praying going on right now that someone in the research world will figure out how to transfer the embodiment gap,” Morikawa said, “but that’s nowhere near possible.”
Digital twins? Mayne tested ‘em with custom reasoning models. Verdict: plain LLMs win. No need for fancy twins.
“There is a real skill in knowing how to predict where these models will be going next, because it’s extremely not obvious. It’s not linear,” Morikawa added. Dry humor alert: understatement of the year in AI’s zigzag hellscape.
Why Does Zero Shot’s Skepticism Matter for Lawyers?
Real people—your compliance officer, say—win if these bets pan out. Enterprise AI that auto-discovers tasks? Less manual audits, but hello, black-box liability. Robotics sans video fluff? Faster deployment, fewer embodiment lawsuits waiting to explode.
But the spin: OpenAI alums as oracles? Please. They’re betting their Rolodex, sure, but AI’s not linear, as they admit. What if they miss the next paradigm? Or worse, entrench OpenAI’s worldview, starving diverse governance voices.
Historical parallel I spy (and original misses): Think PayPal Mafia birthing fintech empires. Zero Shot’s the OpenAI Mafia—but in legal terms, this insider VC blob risks echo-chamber ethics, where safety takes backseat to speed. Bold prediction: by 2027, we’ll see FTC probes into AI VC networks if returns cluster too tight.
Critique their PR: “Gaping holes between AI startups and market needs”? Noble. Or just code for ‘we pick our pals.’
One sentence: Sniff test failed.
Dense block: And don’t get me started on advisors like Diane Yoon (ex-OpenAI HR head) grabbing carried interest—it’s a feast for the faithful, while outsiders scrape for scraps; imagine the governance implications when talent funnels back to the mothership, amplifying OpenAI’s soft power in a field begging for decentralized ethics; regulators, take note, this isn’t serendipity, it’s strategy, and it could rewrite AI’s legal guardrails before breakfast.
Wrapping the sarcasm: Solid fund. Scary precedent.
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Frequently Asked Questions
What is Zero Shot fund?
A $100M VC vehicle by OpenAI alumni investing in practical AI like robotics and automation, skipping hype like vibe coding.
Who founded Zero Shot VC?
Evan Morikawa, Andrew Mayne, Shawn Jain (OpenAI alums), Kelly Kovacs, and Brett Rounsaville.
What has Zero Shot invested in?
Worktrace AI (task automation), Foundry Robotics (factory bots), and one stealth startup.
