It’s not every day you see companies paying $100M+ per engineer just to secure talent.
But in today’s AI race, that’s exactly what’s happening.
The Blitzhire acquisitions — a term unpacked by Villi Iltchev (Founder & Managing Partner at Category Ventures) — are reshaping how deals get done.
🎧 Listen to this podcast episode on YouTube or Spotify
📖 Also check out Villi’s original post on the topic.
Forget the old playbook of buying stock and integrating a company.
These structures are designed for one thing: speed.
Billions move through frameworks that look inefficient on the surface—yet they make sense if you’re one of a handful of AI leaders (think firms like Google, Meta, OpenAI) competing at high speed.
Here’s how Villi Iltchev explained it on TheOnePoint Podcast:
Instead of a traditional purchase, the buyer pays for a non-exclusive license to the startup’s IP — a structure designed to avoid triggering antitrust reviews.
Founders and key employees receive generous employment offers and retention packages, often matching or exceeding what they would have made in a normal acquisition.
Significant funds are left in the company so that remaining employees can continue operating the business, and regulators see a viable entity, not a shell.
AI Startups like Windsurf, Character.AI, Inflection, ScaleAI, and Adept have skipped the traditional M&A route, instead using novel deal structures that move talent—and often key IP—directly to the acquiring company.
As Villi explained, we’ve seen this movie before. In the mobile boom of 2011–2014, Facebook and Google were acquiring startups at a pace of one or two a week—happy to pay around $1M per engineer to quickly scale their mobile teams.
Today, in the AI race, that number looks more like $100M per researcher.
Blitzhire is the new acquihire—but only for the top 3–5 labs with trillions at stake.
For the broader market, M&A remains steady, IPOs aren’t closed, but pricing is a topic, and SaaS exits are still tough.
It’s a reminder: scale shapes strategy. What looked like aggressive hiring in the mobile era now looks like billion-dollar dealmaking in the AI era.
Topics that we covered
(00:00) Episode intro and guest introduction – Villi Iltchev of Category Ventures
(00:48) What is Category Ventures? Fund size, focus, and thesis
(01:54) Why Villi started Category – solving the “subscale VC” problem
(04:46) Category’s ability to lead rounds and bring certainty for founders
(05:49) Emotional side of running a new VC firm in a frothy AI market
(08:28) What is a Blitzhire acquisition? Origins and mechanics explained
(13:48) Structuring Blitzhire deals – IP licenses, retention packages, and keeping shells alive
(16:19) Why Blitzhires are grossly inefficient but deliver speed
(17:10) Will more Blitzhire deals happen? Comparing AI to the mobile war
(20:13) Acquihires then vs Blitzhires now – from $1M per engineer to $100M per researcher
(21:59) The state of IPOs and why pricing, not access, is the issue
(25:30) M&A dynamics: why big buyers prefer large targets, not smaller SaaS firms
(27:15) What’s next for Category Ventures – building brand and reputation over time
More M&A Data & Insights
Age of Acqui-hires – from The Big Book of VC, Q2 2025
Big tech companies are increasingly using acqui-hires—targeted acquisitions primarily aimed at securing elite AI talent rather than technology—as a strategic response to intense competition for top researchers. Unlike traditional acquisitions, these deals often bypass assets and focus on onboarding teams directly into R&D units. This trend has driven deal sizes into the hundreds of millions or even billions of dollars, as firms bid aggressively to bolster their AI capabilities. The result is a reshaping of the startup landscape: founders and teams are drawn to the promise of resources and compensation over conventional exits, while investors may see limited or no returns—potentially fueling regulatory concern over talent consolidation.
Windsurf Saga – from The Big Book of VC, Q2 2025
AI M&A Data – from The Big Book of VC, Q2 2025
Startup M&A is gaining strong momentum in 2025—a much-needed positive signal for the venture ecosystem. Notably, M&A activity for AI startups more than doubled in Q2 2025 compared to the five-year average, reflecting the sector’s accelerated maturation and strategic relevance. What makes this trend especially compelling is the dual narrative: AI continues to dominate funding flows, but it's also leading on the exit front. Startups in the space aren’t just attracting capital—they’re achieving liquidity faster, whether through strategic acquisitions or other means. The key question going forward is how this surge in AI exits will translate into distributions for GPs. If sustained, this could provide a meaningful boost to DPI metrics, particularly for funds that leaned heavily into AI bets early in the cycle.
