The Operator Advantage in Venture Capital: How a16z Redefined What Investors Can Do for Founders
Andreessen Horowitz proved that operators make better investors for certain categories of companies. We examine the a16z methodology in detail, the three structural pillars of the operator advantage, and what it means for AI-first founders choosing their seed partner in 2026.
Read ArticleThe AI Developer Tools Boom: Seed Investing in Cursor, Replit, Codeium, and the Next Wave
The AI developer tools category produced some of the fastest-growing companies in venture history. We examine what made Cursor, Replit, and Codeium exceptional, develop a six-dimension framework for evaluating the next wave, and identify the sub-categories we are most actively investing in for 2026.
Read ArticleThe Infrastructure Layer of the AI Economy: Why We Are Doubling Down
After six years of investing in AI companies, we have a clear conviction: the infrastructure layer creates more durable value than the application layer in every major technology transition. Here is how we think about it and why it shapes where we write our biggest checks.
Read ArticleWhat Operator Investors Actually Do Differently -- And What We Still Cannot Do
The "operator investor" label has become overused in venture. Everyone claims operational experience. We want to be specific about what our background actually enables us to do for founders, and honest about the areas where traditional pattern-matching investors have genuine advantages over us.
Read ArticleThe Enterprise AI Sales Motion: What Actually Works in 2025
Enterprise AI sales is not like selling conventional software. Procurement processes, proof-of-concept requirements, security reviews, and change management challenges create dynamics that generic enterprise sales playbooks do not adequately address. After watching 40 portfolio companies navigate this terrain, we have real data on what works.
Read ArticleBuilding Defensible Moats in the AI Era: Data, Distribution, and Workflow Depth
The most common question we get from founders is how to build a moat when foundation models are commoditizing rapidly. The answer is nuanced -- and requires founders to think carefully about which layer of the stack they actually own. We have seen three patterns emerge across our portfolio companies that are building genuine defensibility.
Read ArticleHow We Evaluate Seed-Stage AI Companies: Our Diligence Framework
We get asked regularly how we evaluate seed-stage AI investments. The honest answer is that our framework has evolved substantially over the past three years as the AI landscape has changed. Here is how we currently think about the six key dimensions of diligence for early AI companies -- and why we weight them the way we do.
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