← Back to list
Colossus (Invest Like the Best / Business Breakdowns)Podcast11 Jul 2017Source: traffic.libsyn.comHost: Patrick O'Shaughnessy

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

In plain words

This interview argues we're in a 'Deployment Age' where technology is being widely adopted, similar to the 1950s—big companies dominate and innovation slows. Venture capitalist Jerry Neumann says VC returns follow a 'power law' (a few companies make all the money), so investors should concentrate bets. Key holdings: The Trade Desk (his ad-tech company that IPO'd for a 100x return), Pebble (smartwatch copied by Apple and failed), and WhatsApp (bought for $19 billion, an extreme success).

AI SummaryAI-generated · may contain errors · verify against the original

Jerry Neumann stated on the Invest Like the Best podcast that the global economy is currently in the "Deployment Age" of the 70-year long cycle described by Carlotta Perez. His core argument is that technological innovation has entered the stage of infrastructure proliferation, and the next 10–30 ye

~13 min full read · 9 sections
Deep Analysis

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

At a Glance

Jerry Neumann is a New York-based angel investor and founder of a programmatic advertising company. The main thesis of this episode: The current economy is in the "Deployment Age" of the 70-year long cycle described by Carlotta Perez, where technological innovation has entered the infrastructure adoption phase, and the next 10-30 years will resemble the electrification era of 1880-1930. Core judgment: Venture capital returns follow a power law distribution, where a small number of companies capture the vast majority of returns, so VCs should concentrate bets rather than diversify.


I. The Deployment Age: Where Are We in the Long Cycle?

Jerry Neumann argues that the global economy is currently in the "Deployment Age" of the 70-year long cycle described by Carlotta Perez. This theory is rooted in Kondratiev long-wave theory, but Perez was the first to offer a compelling explanation for why the cycle lasts 70 years rather than 50 or 200.

Historical Context: Each cycle begins when "financial capital" discovers a cluster of interrelated innovations (a "technological system"), triggering a flood of capital and a bubble. After the bubble bursts, "production capital" takes over, ushering in a more stable and predictable deployment age. Neumann uses the railway era as an example: steam engines, metallurgy, standardized parts, limited liability companies, and stock markets—all had to coexist for railways to be built. Following the UK railway bubble of the 1830s-1840s, government regulation tightened, production capital dominated, and innovation shifted from radical to incremental.

Current Analogy: The ICT (Information and Communication Technology) revolution has passed its bubble phase (the 2000 dot-com bubble) and entered the deployment age. Neumann notes that the 1950s were a typical example of the previous deployment age—Eckert Mauchly Computer Company (inventor of ENIAC) could not secure funding and was forced to sell at a low price in 1950; Digital Equipment Corporation founder Ken Olsen traded 70% equity for $70,000 in funding in the 1950s. This contrasts sharply with the 1990s, when Steve Jobs took Apple public and "no one knew what personal computers could do."

Implications and Signals: If Perez's theory holds, the next 10-30 years will resemble the 1950s-1970s—large companies dominate, innovation slows, and risk aversion prevails. Neumann emphasizes that this is not a pessimistic forecast but a structural socio-economic cycle. Verification signals: whether large tech companies (Amazon, Alphabet, Facebook) continue to dominate the market and whether new entrants struggle to displace them.

> Readers should note: As a venture capitalist, Neumann has an incentive to frame the "deployment age" narrative to justify his investment strategy. He himself admits, "I hope Perez is wrong, because I am financial capital."


2. Power Law Distribution: Why a Few Companies Capture All the Returns

Jerry Neumann argues that venture capital returns follow a power law distribution, with the core parameter α (alpha) determining the "tail" length of the return distribution. The α for most VC funds is close to 2 (approximately 1.98), which is a critical threshold: when α < 2, the mean of the distribution tends toward infinity.

Mechanism Breakdown: Neumann proposes a simple model—the power law can be generated by the interaction of two exponential distributions: the exponential distribution of exit timing × the exponential distribution of value growth. When empirical parameters from the VC industry are substituted, the resulting α closely matches actual observations. This implies that the return structure of VC is endogenous, not coincidental.

Key Inferences:

  • α < 2 means "black swan" events are systemic: Occasionally, extreme outcomes like WhatsApp (acquired for $18 billion, team of 10 people) emerge
  • When α is between 2 and 3, the standard deviation tends toward infinity: This is the "black swan" region discussed by Nassim Taleb
  • VC funds deliberately maintain α slightly below 2: This marks the boundary between "financial capital" and "productive capital"—going lower (with a smaller α) implies longer exit timelines and greater uncertainty, which LPs find unacceptable

Neumann cites Howard Marks' 2×2 matrix: Exceptional investing requires being both "right" and "non-consensus"—which essentially means embracing uncertainty.


3. How to Evaluate Early-Stage Companies: Complementary Assets and Replicability

Jerry Neumann proposes that evaluating early-stage companies requires focusing on two dimensions: the replicability of innovation (easy/hard to replicate) and complementary assets (generic/non-generic complementary assets). This framework originates from DJ Teece's 30-year-old paper, "Profiting from Technological Innovation."

Four-Quadrant Analysis:

Complementary Asset Type Innovation Easy to Replicate Innovation Hard to Replicate
Generic Complementary Assets Value captured by upstream/downstream Ideal Position
Non-Generic Complementary Assets Complementary asset owner profits Mutual bargaining

Typical Cases:

  • Pebble Smartwatch: Innovation easy to replicate + complementary assets (Apple's hardware ecosystem) non-generic → Apple directly replicated, Pebble failed
  • Twitter Third-Party Clients: Innovation easy to replicate + complementary assets (Twitter platform) non-generic → Twitter directly blocked third-party clients
  • Early Apple: Innovation easy to replicate + complementary assets generic → But investors still made money (IPO window)
  • Programmatic Advertising Companies: Dependent on advertising agencies (non-generic complementary assets) → Agencies eventually demand lower rates

Neumann's Personal Strategy: He tends to invest in companies with "innovation hard to replicate + reliance on generic complementary assets," as this represents the most sustainable value creation model. However, he also acknowledges that for investors, exit timing is more important than long-term sustainability—Tumblr's acquisition by Yahoo for $1 billion was a successful investment for USV, but not necessarily for Yahoo.


4. VR vs. AR: Who Will Capture the Value

Jerry Neumann argues that virtual reality (VR) offers limited opportunities for startups, while augmented reality (AR) may be more promising.

VR Analysis: Drawing an analogy from the history of radio and television—hardware must become standardized and affordable for widespread adoption, leaving hardware manufacturers with thin margins; content is dominated by large media companies (such as Disney) because they have the resources and willingness to invest. Startups in the VR content space struggle to compete with Disney.

AR Analysis: AR use cases are highly fragmented—factory maintenance, surgical assistance, data visualization, and more. Each scenario requires different hardware and software, meaning AR hardware does not need to be standardized and can be customized for specific high-value applications. Startups can build moats in niche areas (e.g., a specialized company converting maintenance manuals into AR software).

Neumann's Falsification Condition: If VR hardware follows a "winner-takes-all" pattern similar to smartphones (a single standard, mass adoption), then the VR content space may be monopolized by large media companies, leaving limited opportunities for startups.


5. The Essence of VC Success: Embracing Uncertainty, Not Predicting the Future

Jerry Neumann argues that successful VCs are not those who can predict the future, but those who can identify what is "possible" rather than "impossible."

Core Methodology:

1. Distinguishing "bad ideas" from "uncertain ideas": A perpetual motion machine is a bad idea; "may succeed or may fail" is an uncertain idea—the latter is worth investing in.

2. Scenario planning: Neumann invested in seven companies in the programmatic advertising space, corresponding to seven possible future scenarios—one of them (The Trade Desk) went public, delivering a 100x return for him.

3. Uncertainty checklist: List all risks, distinguishing which can be eliminated through due diligence, which are fundamental uncertainties, and which can be reduced over time.

4. Rejecting the "recipe" mindset: If there were a deterministic recipe for building a billion-dollar company, factories could mass-produce them—this is logically impossible.

Neumann's advice on "friends and family" investments: Never—unless it is to support a friend (treat it as a gift, not an investment). Because individual investors cannot compete with professional institutions on information advantage, and intuition is often misleading ("I would be a customer of this product" does not equal "there is a sufficiently large market").

On luck: Neumann admits that his 45% IRR fund from 1997 to 2001 was "pure luck"—anyone could make money back then. True skill is demonstrated by consistently generating alpha after beta has disappeared.


Mentioned Positions

Position Guest Stance Key Data
The Trade Desk Bullish (listed, Neumann's 100x return) Programmatic advertising company, one of 7 companies invested by Neumann
Bank Simple Bullish (successful investment) Customer-oriented bank, Neumann was the only early investor, later received investment from Ron Conway
Pebble Risk warning (copied by Apple) Successful Kickstarter crowdfunding, but Apple Watch created direct competition
Tumblr Neutral (successful for investors, questionable for acquirer) Acquired by Yahoo for $1 billion
WhatsApp Case reference (extreme tail event) $18 billion acquisition, 10-person team
Apple Historical case (early investors made money, but innovation easily copied) IPO in 1980
Digital Equipment Corporation Historical case (funding difficulties in the deployment era) Founder Ken Olsen exchanged 70% equity for $70,000 funding
Eckert Mauchly Computer Company Historical case (unable to raise funds in the deployment era) Sold at a low price in 1950

Judgments Worth Remembering

1. "We are currently in the deployment phase, and the next 10-30 years will resemble the 1950s — large companies dominate, innovation slows, risk aversion prevails" (Jerry Neumann)

  • Support: Perez's 70-year cycle theory, the ICT revolution has passed the bubble phase; Eckert Mauchly could not secure funding in the 1950s vs. Apple went public in the 1990s when "no one knew what it was for"

2. "The α (power-law parameter) of VC funds is deliberately maintained just below 2 — this is the dividing line between financial capital and productive capital" (Jerry Neumann)

  • Support: When α<2, the mean tends toward infinity, meaning extreme tail events are systemic; VC funds maintain this parameter by selecting projects that are "uncertain enough but not too uncertain"

3. "If there were a deterministic recipe for building a billion-dollar company, factories could mass-produce them — this is logically impossible" (Jerry Neumann)

  • Support: References Thomas Kuhn's concept of "puzzle-solving" and Paul Feyerabend's "anything goes" methodology; anyone claiming a deterministic framework is "trying to sell you something"

4. "VR offers limited opportunities for startups (standardized hardware + content dominated by large companies), while AR may be more promising (fragmented scenarios + customizable hardware)" (Jerry Neumann)

  • Support: Analogy to broadcast/TV history — hardware vendors have thin margins, content is dominated by large companies like Disney; AR use cases like industrial maintenance and surgical assistance do not require unified standards

5. "To evaluate early-stage companies, use the Teece framework: replicability of innovation × generality of complementary assets" (Jerry Neumann)

  • Support: Pebble (easy to replicate + non-generic complementary assets) was copied by Apple; Twitter third-party clients (easy to replicate + non-generic complementary assets) were blocked by Twitter

6. "Never invest in friends and family rounds on the grounds that 'I would be a customer' — you are not a market" (Jerry Neumann)

  • Support: Individual investors cannot compete with professional institutions on information advantage; intuition is often wrong (the prediction that "Facebook won't succeed" was disproven by millions of users)

7. "Successful VCs are not those who can predict the future, but those who can identify what is 'possible' rather than 'impossible'" (Jerry Neumann)

  • Support: Neumann invested in 7 companies in the programmatic advertising space corresponding to 7 future scenarios, with The Trade Desk going public and delivering a 100x return

8. "The α parameter of VC is determined by the interaction between the distribution of exit timing and the distribution of value growth — this is endogenous, not coincidental" (Jerry Neumann)

  • Support: A simple model (exponential distribution of exit timing × exponential distribution of value growth) produces α values highly consistent with actual observations; patent portfolios have a lower α (1.68) because exit timing is longer