$300 Billion Went Into Startups Last Quarter. Most of It Went Nowhere New.
$300 Billion Went Into Startups Last Quarter. Most of It Went Nowhere New.
The headline looks incredible. Venture capital just had its best quarter ever — by a lot. $300 billion deployed in a single quarter, more than 70% of all VC activity in all of 2025. The kind of number that should mean founders everywhere are getting funded.
They’re not.
Here’s what the Q1 2026 data actually shows: four companies — OpenAI, Anthropic, xAI, and Waymo — collected $188 billion, or 65% of all global venture capital for the quarter. OpenAI alone closed a $122 billion round at an $852 billion valuation, the single largest private funding event in history. Meanwhile, global deal volume dropped 15% quarter-over-quarter to roughly 7,000 deals — the lowest count since late 2016.
More capital. Fewer bets. The VC market didn't get bigger — it got more concentrated. Mega-rounds of $100M or more accounted for 86% of all dollars deployed. Seed deal counts fell 30%. The average early-stage founder isn't seeing a rising tide. They're watching the water get sucked toward a handful of offshore platforms.
Mental model: Goodhart’s Law
When a measure becomes a target, it stops being a good measure. “Total VC deployed” sounds like a signal of startup ecosystem health. But strip out four AI infrastructure bets and Q1 looks closer to 2019 than 2021. The record-breaking number is technically true and practically misleading. We’re optimizing for a metric that no longer captures what we care about.
This pattern isn’t random. Capital is behaving rationally — it’s flowing to perceived certainty in an uncertain market. Institutional investors and sovereign wealth funds are treating frontier AI infrastructure like a category-defining, once-per-decade asset class. And maybe they’re right. But “maybe they’re right about the top four” is doing a lot of work in that sentence.
Here’s what I keep thinking about: this is exactly the dynamic that creates opportunity for builders outside the AI infrastructure arms race. When $188 billion chases the same four companies, every other problem space — regulated markets, physical infrastructure, professional services, emerging asset classes — gets relatively undercapitalized. Attention follows money, which means attention is also concentrated.
At /mkt, we’re building in a regulated market — athlete tokenization under Reg A+ with tZERO as trading infrastructure. It’s not a place where $10 billion rounds happen. It’s a place where the work is doing the hard things that most people avoid: compliance, securities law, novel asset structures. That friction isn’t a bug. In an environment where AI megarounds dominate every conversation, friction is a moat.
The contrarian read on Q1 2026 isn’t that VC is broken. It’s that the categories getting ignored right now are exactly where differentiated companies get built. The best time to go where the crowd isn’t is when the crowd is louder than ever.
If this was useful, share it with someone who builds things. And if you want the full toolkit of 50 mental models, my book is coming soon.
