#5 Chris Dixon: The State of Venture Capital

Nov 13, 2015
Overview

Chris Dixon, a partner at a16z, discusses venture capital's history, why companies fail, the future of AI and virtual reality, and the "idea maze." He emphasizes long-term thinking, founder-market fit, and the importance of tenacity in entrepreneurship.

At a Glance
26 Insights
57m 41s Duration
16 Topics
9 Concepts

Deep Dive Analysis

Chris Dixon's Role and Daily Schedule as a VC

History and Structure of Venture Capital

The Culture and Geographic Spread of the Tech Industry

Andreessen Horowitz's Unique Service-Oriented VC Model

Why Companies Stay Private Longer and Public Market Short-Termism

The Role of Dual Class Stock in Long-Term Planning

Understanding Venture Capital Funding Stages and Investment Focus

The 'Babe Ruth Effect' and Failure Rate in VC Investing

Key Traits of Successful Founders: Founder-Market Fit and Tenacity

The 'Idea Maze' Concept for Evaluating Founders

Future Technologies: Virtual Reality as the Next Computing Wave

The Nuances and Breakthroughs in Artificial Intelligence

Personal Strategies for Filtering Information and Identifying Trends

Critiques of the Food Industry and the Future of Healthy Eating

Challenges and Opportunities in Healthcare Technology

Influential Books and Recommended Guests

Maker Schedule and Manager Schedule

A concept by Paul Graham distinguishing between the deep, uninterrupted work of builders (makers) and the meeting-driven, state-switching work of managers. VCs typically operate on a manager schedule.

Venture Capital Funding Stages

A progression of investment rounds for startups: Seed (early idea, small team, ~$1-2M), Series A (initial product, market readiness, ~$10M), and Series B (accelerating initial results, ~$20M).

Pro Rata Rights

A contractual right for an existing investor in a company to participate in future funding rounds to maintain their percentage ownership.

Optionality

In venture capital, it refers to investing in ideas and people that, while unpredictable, have scenarios where they could be disproportionately rewarded, allowing for adaptation to unexpected changes.

Babe Ruth Effect

An observation in venture capital where the most successful firms tend to have a higher failure rate on individual investments, but their few big wins (home runs) are so massive they compensate for all the losses.

Founder Market Fit

The unique suitability of a founder or founding team to a specific market or problem, often stemming from deep technical expertise, domain knowledge, or being part of a relevant cultural movement.

Idea Maze

A mental model for evaluating startup ideas, where an entrepreneur has thought through various potential paths, dead ends, traps, and prizes that might arise as the product and market evolve, demonstrating depth of thinking and adaptability.

Deep Learning

A subfield of machine learning based on neural networks, which, when combined with significantly more computing power, storage, and memory, has led to dramatic improvements in AI accuracy for tasks like image and speech recognition.

Quantum Computing

A theoretical area of computer science that explores building computers using quantum-mechanical phenomena, potentially leading to a dramatic acceleration in AI performance within 5-10 years if it becomes mainstream.

?
What does a venture capitalist's typical day look like?

A typical day involves a lot of scheduled one-hour meetings, split between meeting new entrepreneurs seeking investment and working with existing portfolio companies to help them with various needs like recruiting or sales.

?
How did Andreessen Horowitz (A16Z) build its stellar reputation?

A16Z operates with a unique philosophy, viewing itself as a service firm for entrepreneurs, employing over a hundred non-investor staff whose sole job is to help portfolio companies with things like recruitment and customer acquisition, funded by redirecting traditional VC fees.

?
Why are tech companies staying private longer and achieving high valuations before going public?

Companies are able to stay private longer because public market investors like Fidelity and T. Rowe Price are now investing in private companies, and there's a perception in the tech community that public markets are too short-term focused.

?
What is the significance of dual-class stock structures in public companies like Facebook and Google?

Dual-class stock allows founders to maintain control and make long-term technology investments (3-5 year cycles) without being 'handcuffed' by short-term Wall Street pressures, which Chris Dixon believes is beneficial for the industry.

?
What is the primary factor VCs look for when investing in early-stage companies?

At the Series A stage, VCs primarily invest in the people (about 90%) rather than just the idea, understanding that the idea will likely evolve, and they look for 'founder market fit' and tenacity.

?
How do VCs identify tenacious and resilient founders?

It's challenging to test directly, but VCs look for personal backgrounds, track records (repeat entrepreneurs), and a deep, long-standing obsession with the problem the company is trying to solve, as demonstrated by thinking through the 'idea maze'.

?
How will virtual reality change our lives beyond gaming?

Virtual reality is predicted to become the predominant way people interact with computers and each other at long distances, enabling applications like virtual tourism and having a strong emotional impact, with consumer products expected to broaden usage beyond gaming in a few years.

?
What is the current state and future potential of Artificial Intelligence?

AI is at an inflection point, particularly with deep learning, which uses massive computing power to achieve high accuracy in tasks like image and speech recognition; while still early and requiring significant resources, quantum computing could dramatically accelerate its performance.

?
What are some areas where society's attention is currently misplaced?

Chris Dixon believes the food industry is backwards, focused on advertising over health, leading to epidemics like diabetes and obesity, and that sugar is the 'new smoking'; he also points to inefficiencies and misaligned incentives in the healthcare system.

1. Prioritize People Over Ideas

Recognize that success in ventures is overwhelmingly (98%) driven by the quality and capabilities of the people involved, more so than the initial idea.

2. Cultivate Extreme Tenacity

Develop extreme tenacity and resilience, as almost all ventures will face moments of near-failure, and your ability to overcome adversity is crucial.

3. Employ the ‘Idea Maze’ Model

Thoroughly think through all possible scenarios, adaptations, dead ends, and opportunities for your product or business idea, anticipating how the world might respond to changes.

4. Prioritize Long-Term Thinking

Prioritize long-term planning and thinking in your endeavors, as it is beneficial for industries, countries, and the world.

5. Seek Optionality in Ventures

Seek optionality in investments or projects, focusing on scenarios where people or ideas could be disproportionately rewarded, rather than trying to predict an unpredictable future.

6. Strive for Founder-Market Fit

Ensure that you (as a founder) are uniquely suited, through deep technical or domain expertise, to address the specific market you’re entering.

7. Develop Deep Technical Expertise

Prioritize developing deep technical expertise, as it is generally easier to learn business skills on the job than to acquire technical skills later.

8. Leverage Domain Expertise

Use years of experience and deep expertise within a specific industry to identify outdated practices and generate innovative ideas for improvement.

9. Adapt and Pivot When Needed

Develop the ability to adapt and pivot your approach when initial hypotheses about the product or market prove wrong, as this is a hallmark of successful entrepreneurs.

10. Align Incentives for Success

Structure compensation and operations so that your success is directly tied to the success of those you support, rather than short-term gains or fees.

11. Accept High Failure Rates

Understand and accept that high-impact success often comes with a high failure rate; focus on the magnitude of wins rather than just the frequency of success.

12. Avoid Trend-Driven Ventures

Avoid entering the startup world solely for quick money or trendiness, as success requires a deep appreciation for the inherent difficulty and sustained effort.

13. Curate Information Feeds

Curate your social media feeds (e.g., Twitter) with a carefully selected list of experts to leverage them as a primary tool for filtering information and identifying important content.

14. Engage with Diverse Expert Groups

Actively engage with diverse groups of experts, academics, open-source communities, and industry events to stay in the flow of new ideas and developments.

15. Explore VR Beyond Gaming

Explore and develop applications for virtual reality beyond gaming, recognizing its potential to become a predominant way people interact with computers and each other, impacting communication, health, and tourism.

16. Understand AI Accuracy Challenges

When developing AI or automated systems, recognize that achieving the final 10-20% of accuracy is exponentially harder and requires significantly more effort than reaching initial functional levels.

17. Innovate in ‘Backwards’ Industries

Recognize industries like food and healthcare as ‘backwards’ sectors ripe for innovation, particularly in researching and developing healthier, more accessible options.

18. Address Healthcare Inefficiencies

Explore investment and innovation opportunities at the intersection of healthcare and computer science, as this area holds significant potential to address systemic inefficiencies and rising costs.

19. Be Wary of Sugar Consumption

Be mindful of excessive sugar consumption, viewing it as a significant health concern comparable to smoking, and anticipate a future where current dietary practices are seen as alarming.

20. Read Physical Books

Prioritize reading physical books over digital screens to minimize distractions and enhance the reading experience, especially if you find digital devices too tempting for multitasking.

21. Read ‘Gödel, Escher, Bach’

Read ‘Gödel, Escher, Bach’ by Douglas Hofstadter to broaden your horizons and explore the connections between computers, philosophy, and music.

22. Explore Daniel Dennett’s Works

Explore works by authors like Daniel Dennett and Oliver Sacks to delve into topics like consciousness and the human mind.

23. Read ‘Sapiens’

Read ‘Sapiens: A Brief History of Humankind’ for a panoramic ‘big history’ view of homo sapiens, as it is highly recommended and insightful.

24. Read ‘The Three-Body Problem’

Read ‘The Three-Body Problem,’ a science fiction novel by a Chinese author, which recently won the Hugo award.

25. Read ‘The Martian’

Read ‘The Martian,’ a popular book that has been adapted into a movie.

26. Read Elon Musk’s Biography

Read the biography of Elon Musk to gain insights into his life and work.

VC is very much manager. So it's sort of one hour scheduled meetings as opposed to kind of, you know, eight hours of getting into a flow state and thinking about a topic.

Chris Dixon

I think it's very sort of inclusive and people just sort of expect, you know, new things to pop up and people are very responsive, I think to, you know, I don't know, new people kind of coming.

Chris Dixon

We think of ourselves primarily as a, as a service, uh, firm. So we think of ourselves a way of maybe a law firm or a talent, talent agency or someone would, where our first job is to serve is to provide services for the entrepreneur.

Chris Dixon

I just don't think you can plan technology investment on a, anything shorter, like just the way technology products and life cycles work. I think it works on a minimum of, let's say three to five year cycle.

Chris Dixon

The best VC funds, um, lose money at least half the time, which means half of our, if we're doing a good job, half of our investments will fail.

Chris Dixon

Almost all companies that we're involved with, um, run to extreme, um, adversity, um, have, I've almost never been involved with a company, uh, that didn't have moments of, you know, almost failure.

Chris Dixon

I think virtual reality though will, um, I mean, I, I don't know how long it will take it, you know, Oculus is going to release their, it's announced they're going to release their consumer product, um, at the beginning of next year. And I think initially for the first year or two, it'll be primarily used by people playing video games. Right. Um, but I think in the next few years after that, it will, it will be used much more broadly.

Chris Dixon

I think a lot of the real AI, the kind of the real automation ends up sneaking up on you. Now there's this other kind of AI, which is the kind of more, um, spectacular stuff that you read about, which is, you know, it's the headlines.

Chris Dixon

We like to say sugar is a new smoking.

Chris Dixon
2009
Andreessen Horowitz founding year Firm founded by Mark Andreessen and Ben Horowitz
A few thousand
VC industry employees At most, constituting the majority of the industry
$10 to $20 billion
VC industry annual investment Per year, smaller than R&D budgets of large tech companies
Over 100
A16Z non-investor employees Dedicated to helping portfolio companies with services like recruitment and customer acquisition
3 to 5 years
Minimum cycle for technology investment planning The way technology products and life cycles work
$1 million to $2 million
Typical seed investment size For one or two entrepreneurs with an idea to build a first product
$10 million
Average Series A investment size For companies with an initial product ready to build out and market
$20 million
Average Series B investment size For companies with initial results looking to accelerate them
15% to 20%
Typical ownership percentage for Series A VC investment In exchange for the investment
90%
Focus on people vs. idea in Series A investment Investment in people, with the understanding that the idea will change
Tens of thousands
Google AI experiment computers Used to study YouTube videos and identify cats with high accuracy
5 to 10 years
Optimistic timeline for mainstream quantum computing According to some well-respected computer science professors