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Uncapped with Jack AltmanThe Next Generation of Software | Mamoon Hamid, Partner at Kleiner Perkins | Ep. 16
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At a glance
WHAT IT’S REALLY ABOUT
Mamoon Hamid on AI investing, VC cycles, and Kleiner’s revival
- Hamid recounts entering Silicon Valley during the dot-com boom, learning how hype can detach from fundamentals, and how the best investors keep an open mind while being rigorous about timing. He then walks through the emergence of Web 2.0, cloud/SaaS adoption (which took longer than people remember), and mobile’s maturation from wrappers to native apps driven by games and killer apps.
- He argues AI is a “super cycle” with a potential $60T labor opportunity, shifting value toward AI-levered companies and creating space for generational startups. Kleiner’s AI investing framework focuses on applications that map to real jobs—starting with copilots for highly skilled professions, moving to autonomous agents for mid-skilled roles, and eventually robotics for physical labor (but later due to cost/complexity).
- On firm-building, he describes joining Kleiner in 2017 as a “refounding moment,” returning to a small-table early-stage model, defining a mission (“first call for founders who want to make history”), and measuring partner performance through a disciplined funnel: see, pick, win, and work. He closes with how family and faith shape his leadership style and how he tries to treat founders with respect and empathy during high-stakes fundraising moments.
IDEAS WORTH REMEMBERING
5 ideasTiming beats pattern-matching past bubbles.
Hamid emphasizes staying optimistic and open-minded rather than dismissing new ideas because earlier versions failed (e.g., Webvan vs Instacart). The question is less “did it fail before?” and more “why now—are adoption and enabling tech finally ready?”},{
Cloud/SaaS wasn’t immediate consensus—even in VC.
He notes that in 2007–2009 many investors still centered on hardware/networking, and even obvious cloud apps struggled to get funded. Broad SaaS enthusiasm only flipped in the early 2010s after infrastructure matured and success stories accumulated.
AI is framed as a $60T ‘jobs-to-be-done’ market, not just a feature wave.
Hamid ties AI’s magnitude to labor’s ~60% share of GDP, arguing AI will increasingly do work, not merely assist. This reframes investing from “cool models” to “which real economic activities get automated or radically accelerated?”
Start with copilots for scarce, high-skill roles—then progress to autonomy.
Kleiner’s early AI approach targeted doctors, lawyers, and engineers with copilots (e.g., Ambient for clinical scribing, Harvey for legal, Windsurf for engineers). The premise: nuanced domains need humans in the loop first, with autonomy increasing as reliability improves.
Autonomous agents shine where persistence and scale are impossible for humans.
In roles like nursing call workflows (Hippocratic), AI agents can operate at the right times, at massive parallelism, and with infinite follow-up—unlocking protocol adherence and better outcomes that are currently limited by staffing and time windows.
WORDS WORTH SAVING
5 quotesAI is, to us, the super cycle of all super cycles.
— Mamoon Hamid
If you have that mentality, you're gonna miss everything.
— Mamoon Hamid
A lot of the stuff that happened in the dot-com boom, the timing was just off.
— Mamoon Hamid
If we want to invest in a company, we have to win it.
— Mamoon Hamid
Small N, high engagement, is a really good signal to invest in a company.
— Mamoon Hamid
High quality AI-generated summary created from speaker-labeled transcript.
