Martin Casado

Who they are

Martin Casado is General Partner at Andreessen Horowitz — co-founded Nicira Networks, the network-virtualization company VMware acquired for $1.26 billion in 2012, after completing a PhD at Stanford.

Person

Casado joined a16z in April 2016 as its ninth general partner, coming in as a proven operator: he'd spent the prior four years as SVP and General Manager of VMware's Networking and Security Business Unit after VMware absorbed Nicira. Before Nicira, he was at Lawrence Livermore National Laboratory doing large-scale simulations, and earlier worked in networking and cybersecurity for the intelligence community — an unusual background for a future VC. He earned his Master's at Stanford (2004–2005) and his PhD in Computer Science in 2008, and while still at Stanford co-founded Illuminics Systems, an IP analytics company acquired by Quova in 2006. He then co-founded Nicira Networks in 2007 with Nick McKeown and Scott Shenker — the company that put software-defined networking on the map and sold to VMware for $1.26 billion. The through-line is deep infrastructure conviction: national-lab researcher → SDN pioneer → enterprise executive → investor backing the next layer of the stack. He writes prolifically at a16z.com and for TechCrunch, Forbes, and The Wall Street Journal on AI infrastructure, enterprise software, and B2B SaaS; in 2025 he told The Generalist podcast the AI boom 'feels like 1996' and still has years to run. Possibly — he runs a personal newsletter called 'Week 36 is up' that touches on design and music alongside tech.

Company

In January 2026 a16z closed its largest-ever fundraise — more than $15 billion across five funds, representing over 18% of all US venture capital raised in 2025. The allocation was pointed: $6.75 billion to a growth fund, $1.7 billion each to AI Apps and AI Infrastructure funds, $1.176 billion to the American Dynamism fund (defense, housing, supply chain), and $700 million to Bio & Health. Since then the firm has been deploying aggressively — leading a $5 billion Series H in Anduril at a $61 billion valuation in May 2026, a $2.2 billion crypto Fund V close the same month, a $33 million seed in Ornn (compute marketplace) in June 2026, a $160 million round in Cathedral (military cyber AI) in July 2026, and a €385 million Series A in Mistral AI at a $2 billion valuation in July 2026. The firm also launched a Global Partnerships division in 2026 to connect founders with sovereign and institutional partners, and announced a partnership with Booz Allen Hamilton in January 2026 to accelerate advanced tech for US government customers.

Market

a16z sits at roughly $90 billion AUM alongside Sequoia Capital as one of the two largest US venture firms, with primary competitors including Sequoia, Accel, General Catalyst, Bessemer, Founders Fund, and NEA. Its 'full-service' platform model — spanning talent, go-to-market support, policy advocacy, and now a Global Partnerships division — differentiates it from more capital-only rivals. The firm has made an explicit strategic bet that US-China geopolitical competition and AI infrastructure build-out are the defining investment themes of the next decade, positioning itself as both a capital allocator and a policy actor (including backing a $100 million pro-AI political network).

Network

Casado's most visible collaborators are Marc Andreessen, with whom he has co-hosted a16z podcast episodes on AI, and Sarah Wang, his frequent co-presenter on where value accrues in the AI stack. His Nicira co-founders Nick McKeown and Scott Shenker remain notable anchors in his technical network, and within a16z he works alongside peer GPs Peter Levine and Lars Dalgaard on enterprise investments.

Marc Andreessen· Co-founder and General Partner, Andreessen Horowitz
Sarah Wang· General Partner, Andreessen Horowitz
Nick McKeown· Co-founder, Nicira Networks
Scott Shenker· Co-founder, Nicira Networks
Peter Levine· General Partner, Andreessen Horowitz
Lars Dalgaard· General Partner, Andreessen Horowitz

How they likely show up

Long tenure at a16z (joined April 2016, now 10+ years) after a multi-year executive stint at VMware → thinks in multi-year conviction cycles, not deal-by-deal opportunism.
Hybrid role pattern (researcher → founder → operator → investor) → likely evaluates founders with unusual technical depth and has little patience for hand-wavy architecture claims.
Active public writing across a16z blog, TechCrunch, Forbes, and WSJ → comfortable being a named opinion-holder; probably responds well to someone who has read and engaged with his actual arguments, not just his bio.
Repeated public framing of AI as a 1996-style infrastructure moment → operates from a long historical analogy; he'll want to discuss the structural shift, not just the current hype cycle.
Co-founded two companies (Illuminics Systems, Nicira Networks) while still at Stanford → high agency, pattern of building before he had permission to.
Publicly argued in Fortune and TechCrunch that AI regulation should be based on evidence, not existential angst → pushes back on consensus narratives; he engages with specificity and data, not vibes.

Conversation tips

→ Reference a specific piece he wrote — the a16z post on AI value accrual or his Fortune op-ed on evidence-based AI regulation — he'll immediately know whether you've actually read it.
→ Come with a view on where value accrues in the AI stack (infrastructure vs. apps vs. models); he's spent significant public bandwidth on this question and will engage hard if you have a position.
→ The Nicira → VMware → a16z arc is the defining story: ask about what the transition from operator to investor actually changed in how he evaluates companies — it's likely a point of genuine reflection.
→ Don't generalize about 'the AI market' — he distinguishes sharply between infrastructure plays, application-layer bets, and model-layer dynamics; show you know the difference.
→ If you work in enterprise software or networking, mention it early — his pattern-matching starts from infrastructure and SDN, not consumer.

Toolbox

Openers

Open on his 2025 Generalist podcast appearance where he said the AI boom 'feels like 1996' — it's a specific, named bet about the length of the cycle and a good entry point to his current investment thesis.
Reference his Fortune op-ed from December 2024 arguing that AI policy should be grounded in evidence rather than existential angst — he took a public stand against the dominant regulatory mood and it will signal you've engaged with his actual views, not just his firm.
Bring up Nicira and the $1.26 billion VMware acquisition: he co-founded it with Stanford professors McKeown and Shenker, built it to redefine networking, then ran the resulting VMware business unit — it's the origin story for why he bets on deep infrastructure, and founders who know it land differently than those who don't.

Discovery questions

Your 2024 podcast with Sarah Wang mapped where value accrues in AI — a year-plus on, has the infrastructure vs. application layer split played out the way you expected, or has something surprised you?
You've written that AI is upending SaaS pricing — for founders building in that space today, what's the one pricing assumption they're most likely getting wrong?
Going from CTO at Nicira to SVP at VMware to GP at a16z is three very different operating contexts — which one most shaped how you evaluate whether a technical founder can actually scale a company?

Avoid

Don't lead with generic 'AI is moving so fast' framing — he's publicly argued for evidence-based, specific analysis of AI's impact and will disengage quickly from vague enthusiasm.

Make it yours