Jerry Neumann - The Deployment Age, Power Laws, and Venture Capital - [Invest Like the Best, EP.45]

Episode Summary

Executive Summary: Patrick O'Shaughnessy interviews VC Jerry Newman on long economic cycles, power laws in venture returns, and how uncertainty, complementary assets, and patience shape who captures value from innovation.

Main Topics: Deployment age and long economic cycles (Priority: 5/5): Newman explains Perez's deployment age: after a bubble/bust, production capital dominates and innovation diffuses. Venture capital under power laws (Priority: 5/5): He argues VC outcomes follow fat-tailed power laws, making outlier wins central to returns. Uncertainty as the source of alpha (Priority: 5/5): He says the best VC bets live in non-consensus uncertainty that incumbents avoid. Who profits from innovation (Priority: 4/5): Using Ties' framework, he maps value capture through complementary assets and ease of replication. Portfolio construction and follow-ons (Priority: 4/5): He debates concentration versus breadth, and why follow-on investing can be rational in VC. His investing process and edge (Priority: 4/5): Newman describes a thesis-light, opportunistic process built on scenario planning and experience. Media, VR, and AR as investment lenses (Priority: 3/5): He contrasts standardizing platforms like VR with niche, fragmented opportunities in AR.

Key Arguments: Deployment ages favor production capital and regulation after bubbles; VC returns get harder to generate. Venture returns look like power laws with alpha near 2, implying a few extreme winners drive results. The best investments are uncertain enough that big incumbents won't pursue them. VC firms can't just move to the next technological wave; systems need broad societal coordination. Follow-ons can be rational because insiders have better information and access to mispriced rounds. Startups win when they control non-generic complementary assets or are hard to replicate. VR likely accrues value to incumbents; AR offers more fragmented, niche startup opportunities.

Data Points: economic cycle length: 60, 70 years - Perez's Kondratiev-wave framework for long economic cycles venture portfolio IRR: 45% IRR - Newman's first venture fund, from 1997 to 2001 VENTURE top-quintile threshold: 60% IRRs - He cites late-1990s top venture funds as unusually lucrative DEC sale price: $70,000 - Ken Olsen sold 70% of Digital Equipment Corporation for this amount ARD liquidation value: $400 million - Value of ARD's stake after backing DEC VC fund size reference: $3.3 billion - Example of a large fund a startup investor can't match with personal capital trade desk outcome: 100x - Newman's standout portfolio win in programmatic advertising public company example: $3 billion - Blue Apron's valuation at IPO is used to discuss replication risk programmatic ad volume: more trading than the New York Stock Exchange - He describes the scale of ad-exchange order flow data monetization estimate: $7 a year - His former startup's thesis around individuals monetizing personal data launch year reference: 2008 - He brought an early analytics startup to Union Square Ventures and First Round Capital time horizon example: 50 years - Asteroid-belt fuel company illustration of investments too long for typical VC patent power-law alpha: 1.68 - He cites patents as having a fatter tail than most venture portfolios risk horizon example: 20-year fund - He notes venture funds this long are hard to raise and manage uncertainty example: 1% chance of this being 1,000x - His thinking on backing Bank Simple as a positive-expected-value bet

Pivotal Quotes: "I know firsthand how complex the tech stack is for asset managers." — Sponsor voice: Opening sponsorship read for Ridgeline "You need to get society behind you." — Jerry Newman: On why single venture firms cannot create the next technological revolution alone "The answer is maybe, right? Maybe. But the answer is not no." — Jerry Newman: On evaluating startup possibilities through systems analysis

Implications: Listeners should treat venture as a disciplined hunt for rare uncertainty, not a recipe, while remembering that time, access, and system-level adoption determine who ultimately captures value.