From the University of Chicago's Booth School of Business, Pro-Market, September
What Makes a Venture Capitalist Successful?In new research, Blake Jackson and Ilya Strebulaev track the careers of 100,000 people working at venture capital firms in the United States to ask which investors succeed and why. They find that five percent of VCs generate 90 percent of the industry’s profits, that the backgrounds investors bring with them predict who ends up in that group, and that public recognition itself opens the doors to the deals that keep them at the top.
Much of the United States economy today is made up of companies and innovators that raised their initial financing from venture capitalists (VCs). VC-backed companies account for 41 percent of total U.S. market capitalization and 62 percent of public U.S. companies’ R&D spending. Seven of the top ten largest companies by market capitalization as of December 2025 were primarily backed by VC funds earlier in their lifecycle.
One important feature of the VC industry is the prominence of individual venture capitalists who make and manage investments on behalf of VC firms. Don Valentine, founder of the VC firm Sequoia, is a well-known early backer of Cisco and Apple. Michael Moritz, also of Sequoia, is widely credited for making early investments in Google and PayPal. Marc Andreessen, of a16z, is famous for highly successful venture investments in Airbnb and Lyft. But their reputations rest on more than a handful of smart bets. Each is known for picking winners repeatedly, across many years and market cycles.
What is, perhaps, most interesting to an observer of the VC industry, or someone seeking to invest in a VC fund, is that existing empirical evidence bears out this reputation. The ability of individual venture capitalists to make successful investments is persistent. For example, the identity of the venture capitalist sitting on the board of a startup is far more important for explaining whether an investment in a startup subsequently succeeds or fails than which VC firm the venture capitalist represented or the year they took a board seat.
However, surprisingly little is known about these individual venture capitalists. Are there persistent differences in the backgrounds of successful venture capitalists? What individual characteristics of venture capitalists, if any, can explain investment outcomes, career paths, and returns? Insofar as these characteristics and experiences are costly to replicate or acquire, to what extent are returns to investing in the VC industry concentrated among a relatively small number of professionals?
In our new paper, we aim to answer these questions. Such a research agenda has historically been hampered by incomplete, potentially biased, and opaque data. To combat this, we assembled the largest and most comprehensive dataset of individual venture capitalists based in the U.S. to date by tracking their entire careers, deals, and outcomes. We also collected data on their individual characteristics and relevant biographical details based on existing collections of commercial VC data as well as the historical, archived websites of U.S. VC firms.
To collect our data, we made use of a system of large language models (LLMs) designed to crawl, parse, and scrape these historical websites. We paired this process with large-scale manual collections that helped validate the reliability of our process. All in all, we tracked about 100,000 individual VCs, 37,000 of whom are professional investors. By our estimates, about half of our data points covering the backgrounds and investments of these professionals are not available in standard commercial datasets alone.
Our new dataset reveals the striking degree to which VC investment success is concentrated among venture capitalists in the U.S. Only 38 percent of the venture capitalists in our sample were ever credited with a successful investment (an investment in a startup that later went public, was acquired for at least five times the amount invested, or achieved a valuation of at least $1 billion). Only about seven percent have made five or more. And no more than three percent of U.S. venture capitalists have ten or more successes to their name. In net profits terms, the top one percent of venture capitalists account for roughly 57 percent of the approximately $1.2 trillion in inflation-adjusted net profits generated across the sample, while the top five percent account for about 90 percent. This distribution is very unlikely to arise from randomly assigning investments to venture capitalists.
As the concentration implies, venture capitalists who previously made successful investments are more likely to succeed again. Deals made by investors with one prior successful investment are two percentage points more likely to have a successful outcome, and those with five prior successes are about seven percentage points more likely to succeed. This is almost a 50 percent jump relative to the average rate of investment success....
....MUCH MORE
Either that or get a time machine. Both H.G. Wells or Back to the Future have interesting possibilities but going completely meta would have the VC fund a time machine.
If interested in the broader realm of who gets the profits see also HBR—From Pareto To Hyper-Pareto: "AI Is Going to Change the 80/20 Rule" and the outro links therefrom:
This type of information advantage is more and more accruing to the biggest and richest of corporations. It is a type of rich-get-richer advantage akin to the flywheel effect:
- Competitive Advantage and Feedback Loops
- How to Think About Companies: "Advantage Flywheels"
- Flywheel Effect: Why Positive Feedback Loops are a Meta-Competitive Advantage
- "Analyzing the deepening divide in learning capabilities between a few corporate giants and the rest of the world." (plus advantage flywheels)
- "America's Biggest Firms' Moat Is Becoming Impregnable" (TSLA; NVDA; GOOG)
And related, now that we see what is happening, what, if anything, should society do about it?
- FHI: Who Gets The Benefits Of Artificial Intelligence?
- "AI Designs Computer Chips for More Powerful AI" (GOOG)
- "Inside big tech’s high-stakes race for quantum supremacy"
- Not into quantum computers? Then you've made the decision to be a peasant, working for those who are.
And the rich get richer.
- "The concentration of economic power has led to spectacular investment returns"
- "An AI payout? Should companies remunerate society for lost jobs?"
- How Amazon Rebuilt Itself Around Artificial Intelligence
- A Very Smart Look at Income Inequality: The Claremont Institute Book Review of "Winner-Take-All Politics: How Washington Made the Rich Richer—And Turned its Back on the Middle Class"
- "Facebook, Google And Amazon Wield Power Over Us All, And Everyone Should Be Worried" (AMZN; FB; GOOG)
- HBR: Corporations in the Age of Inequality — Inequality isn’t just about individuals — it’s risen between companies, too.
- "Why Do the Biggest Companies Keep Getting Bigger? It’s How They Spend on Tech"
...Much more important than the direct monetization of big data is the strategic advantage it can bestow over time.
In a winner-take-all economy, as in a horse race, small differences in superiority are rewarded all out of proportion to the actual advantage. A top thoroughbred may only be a couple fifths of a second faster than the field but those two lengths over the course of a season can mean triple the earnings for #1 vs. #2.
In commerce the results can be even more dramatic because rather than the 60%/20%/10% purse structure of the racetrack the winning vendor will often get 100% of a customer's business.....
It's not some cutesy management* fad or pop insight like "Business secrets of Genghis Khan."
To the rich go the profits and internalizing that fact makes the rest of this portfolio construction/fund management/investing stuff easier to conceptualize and execute.
And AI is accelerating the already extant dynamic....
"The 'new normal' of growth stock dominance"
What our five years of blather regarding advantage flywheels is all about.*
Something like half of the Russell 2000 small caps are unprofitable. Own them at your own risk.