Overview of Venture Capital During the AI Revolution with Mamoon Hamid
Bloomberg’s interview with Mamoon Hamid, partner at Kleiner Perkins, traces his journey from aspiring astronaut to semiconductor engineer to venture capitalist, and then into his current role helping reshape Kleiner Perkins around early-stage AI investing. The conversation centers on how AI is changing venture capital, why the opportunity is bigger than the internet boom, and how Hamid and his team evaluate founders, markets, and company-building in an era of rapid technological change.
Key Themes and Takeaways
From semiconductors to software to AI
- Hamid grew up in Frankfurt, was inspired by the Challenger disaster, and originally wanted to become an astronaut.
- He studied electrical and computer engineering at Purdue, then Stanford, and later earned an MBA from Harvard because he wanted to enter venture capital.
- His early career was in semiconductors, but he shifted into software and internet investing as the market moved toward Web 2.0.
Learning by following where the market is going
- Hamid described his investing philosophy as “skate to where the puck is going.”
- He moved from chips and infrastructure into enterprise software because that was where the most exciting startup activity was happening.
- Early investments like Box, Yammer, and Slack helped shape his understanding of bottoms-up enterprise adoption.
Kleiner Perkins’ “refounding”
- When he joined Kleiner Perkins in 2017, Hamid helped refocus the firm on its traditional strength: a small, technical, highly involved partnership making concentrated early-stage bets.
- The firm now operates with a small partner group and invests through both an early-stage fund and a growth fund.
- The early-stage strategy is mostly seed and Series A, with some follow-on B rounds.
AI is bigger than the internet
- Hamid argues that AI is not just another internet cycle; it is closer to the Industrial Revolution, or even the impact of the printing press or railroads.
- He sees AI as a reorganization of labor, not just software tooling.
- His key framing: AI is selling units of labor, not simply software licenses.
How Hamid Sees the AI Opportunity
AI as labor automation and augmentation
- Hamid estimates that labor makes up roughly half of global GDP, and a large share of that is white-collar work.
- He believes AI will first transform high-skill, high-pay roles such as:
- software engineering
- law
- medicine
- finance
- Over time, he expects AI and robotics to move further down the labor pyramid into sales, nursing, and eventually physical labor.
The market is still early
- He emphasized that the AI revolution is just beginning.
- Frontier model companies are improving rapidly, making it easier for startups built on top of them to create strong products and new categories.
- He cited companies such as:
- Harvey for legal AI
- Windsurf for software development AI
- Ambience and OpenEvidence for healthcare
- Rogo for finance
- Hippocratic for nursing
- Nooks and Revo for sales
Valuations are high, but the market supports them
- Hamid acknowledged that AI startup valuations can look expensive.
- His view is that enormous market potential justifies ambitious pricing when teams are strong and the category is large enough.
- He noted that venture is a power law business, where a tiny number of winners drive most returns.
How Kleiner Perkins Finds Winners
Pattern recognition from past wins and losses
- Hamid described how Box led to Yammer, and Yammer led to Slack.
- He believes early venture success compounds through experience, but misses matter more than wins.
- At Kleiner Perkins, the team systematically reviews:
- companies they saw but passed on
- deals their peer firms did
- how often they met the eventual winners
A disciplined process for evaluating deal flow
- The firm reviews roughly 30–40 Series A deals each week to see whether they encountered the same companies as peers.
- Their benchmark is not to see everything, but to see enough of the right things.
- He said 70% visibility into meaningful Series A deals is a healthy target.
In-person meetings matter
- A major lesson from the pandemic era: first meetings should be in person whenever possible.
- Hamid believes many misses happened because early Zoom meetings failed to create the same intuitive sense of founder ambition, intensity, and conviction.
- He tries to make his first meetings in person whenever possible.
How AI Is Used Inside Kleiner Perkins
AI for internal knowledge management
- Kleiner Perkins uses Glean internally to organize and query firm knowledge.
- The system helps staff quickly find:
- people contacts
- HR policies
- board materials
- cap tables
- investment memos
AI for board prep and portfolio management
- Hamid uses AI to summarize board memos before meetings and generate questions to think about in advance.
- The firm also automates quarterly portfolio review books using AI-generated summaries and financial data.
- He sees AI as a way to capture “the exhaust” of work and turn it into useful signals.
His View on the Future of Work
AI will augment, not eliminate, humans
- Hamid strongly rejects the idea that AI will simply make humans obsolete.
- He compares the current moment to the arrival of email, computers, and earlier industrial transitions:
- jobs change
- skills shift
- new work appears
- He expects AI to increase productivity and push workers toward more technical and strategic roles.
Skills still matter
- He advises young people to study math, science, and even art to build broad problem-solving ability.
- In his view, AI increases the importance of thinking, judgment, and creativity rather than eliminating them.
- Future software engineers, he says, will increasingly manage AI agents rather than write everything manually.
Advice for Founders and Young Professionals
For founders
- What matters most is not the deck, but the person.
- Hamid looks for:
- ambition
- intentionality
- motivation
- endurance
- clarity of purpose
- Building a company is hard, so he wants to understand why someone is doing it.
For recent graduates
- His advice is to start at a fast-growing company, ideally in technology or AI.
- He believes the best learning comes from:
- shipping real products
- selling to customers
- operating in high-growth environments
- building a network early
- He says venture capital should usually be a second career, not the first.
Notable Insights
A few memorable ideas from Hamid
- AI is not just software; it is labor.
- The biggest opportunities are at the top of the labor pyramid first.
- Technology markets tend to be winner-take-most.
- The best way to learn venture is to spend time in operating companies first.
- Misses teach more than wins.
Bottom Line
Mamoon Hamid’s core message is that AI represents a once-in-a-generation platform shift that will reshape work, software, and entire industries. His venture approach remains rooted in discipline: small teams, concentrated bets, in-person founder evaluation, and a deep focus on whether a company is positioned to become one of the few winners in a power-law market.