⚠️ Heads up: This is info only. Not investment advice. Don’t bet the farm based on a blog post.

TL;DR: Q1 2026 was the biggest venture quarter ever — $300B total, $242B to AI. Sierra hit $950M. DeepSeek is talking to investors for the first time. Defense tech and physical AI are becoming full-blown venture asset classes.


💰 Who Got Money Today

Sierra — Series C — $950M at $15B+

What they do: Enterprise AI agents for customer support and operations.

Who put money in: Not yet fully disclosed — round announced mid-May 2026.

Why it matters:

My take: $950M for an AI agent company? That’s not a funding round — that’s a statement. Investors are saying the next phase of AI isn’t chatbots, it’s operational systems that replace human workflows. Sierra is betting customer support is the beachhead.

Confidence: 🟡 Reported


DeepSeek — First External Round — Up to $50B Valuation

What they do: Chinese AI lab behind DeepSeek V4 and the viral DeepSeek-TUI coding tool. They’ve never taken outside funding before.

Who put money in: Negotiating with multiple investors — terms not finalized.

Why it matters:

My take: DeepSeek going from zero outside funding to a $50B valuation is wild. Either they’re desperate for compute cash, or they think the window to raise at these prices is closing fast. Probably both.

Confidence: 🟡 Reported


Anduril — Late Stage — $1.5B

What they do: Defense tech — autonomous systems, drones, and AI-powered military hardware.

Who put money in: General Catalyst.

Why it matters:

My take: $1.5B for a defense company used to be unheard of in venture. Now it’s routine. The world got more dangerous, and venture capital noticed.

Confidence: 🔴 Confirmed


Scale AI — Series F — $1B

What they do: AI data labeling and preparation — the plumbing behind every major model.

Who put money in: Meta and Accel.

Why it matters: Scale AI is the data backbone for frontier labs. If models keep getting bigger, data preparation gets more important — and more expensive.

Confidence: 🔴 Confirmed


Physical Intelligence — Series B — $400M

What they do: Robotics AI — software that lets robots learn and adapt.

Who put money in: Thrive Capital.

Why it matters: Physical AI is the bridge between AI models and real-world robots. This round says investors think that bridge is worth building.

Confidence: 🔴 Confirmed


Other Notable Rounds

CompanyAmountStageSectorLead
Mistral AI$600MSeries CFoundation ModelsGeneral Atlantic
Perplexity AI$500MSeries DAI SearchSoftBank Vision Fund
Cohere$250MSeries DEnterprise AISalesforce Ventures
Cognition AI$175MSeries BAI Dev ToolsFounders Fund
Harvey$100MSeries CLegal AIAndreessen Horowitz

Pattern: Rounds above $500M are now routine. Five of the top eight deals this week crossed that line.


📊 The Big Picture: Q1 2026 in Numbers

MetricNumberContext
Global venture funding (Q1)$300BRecord quarter, +150% YoY
AI share of total$242B (80%)Up from 55% in Q1 2025
Total startups funded~6,000Fewer deals, but much bigger checks
2025 full year$212BAlready exceeded prior decade peak

What that means in plain English: Venture isn’t spreading money around like 2021. It’s piling into fewer, bigger bets — mostly in AI. The winners are pulling away from everyone else.


🔮 What’s Next

SignalOddsTimeImpact
Anthropic closes $30B round85%1-2 weeksHuge — sets $900B valuation benchmark
DeepSeek term sheet signed60%2-4 weeksBig — first outside money for Chinese frontier lab
Google I/O moves AI stocks70%This weekMedium — depends on Gemini 4.0 reception
Defense tech fund launches accelerate80%1-3 monthsMedium — geopolitical tailwinds persist
Physical AI rounds stay hot75%3-6 monthsMedium — Eclipse’s $1.3B fund has to deploy

🤔 One Big Thought

The venture market of 2026 looks nothing like 2021. Back then, money went to thousands of seed rounds. Now it goes to a handful of mega-rounds. AI took 80% of all venture dollars in Q1. That’s not a trend — that’s a takeover.

The risk? If AI hits a speed bump, the entire venture market wobbles. The opportunity? If you’re in one of the AI winners, you’re not just getting funded — you’re defining what the next decade of tech looks like.

Money is concentrating. The question is whether that’s smart or dangerous. We’ll know in 18 months.