Understanding Financial Bubbles: Lessons from History with Venture Capitalist Aman Verjee
The Bubble Question: Are You Investing or Gambling?
Every generation believes this time is different—until the bubble bursts. From tech stocks to crypto, markets have a long history of swinging between irrational euphoria and sudden panic. This episode explores a critical question every investor must ask: are you positioned for long-term wealth, or exposed to the next collapse?
I sit down with Aman Verjee, veteran venture capitalist and author of A Brief History of Financial Bubbles, to unpack why financial bubbles are not accidents—but predictable cycles driven by human psychology, cheap money, and unchecked optimism. We move beyond headlines to examine the recurring patterns that quietly build beneath every major market boom and bust.
If you’ve ever worried about whether your investments are built on fundamentals or hype, this conversation offers the clarity needed to invest with discipline, awareness, and confidence.
Key Takeaways
Understanding financial bubbles is crucial for investors.
Bubbles are influenced by social and psychological factors.
Historical examples like tulip mania provide valuable lessons.
The railroad boom illustrates the dangers of overbuilding.
The dot-com bubble led to significant technological advancements.
Productive bubbles can create long-term economic value.
Monetary policy plays a key role in fueling bubbles.
AI technology is transforming industries but comes with risks.
Investors should focus on the problem being solved by startups.
The cyclical nature of investment capital requires caution.
Chapters
00:00 Introduction to Financial Bubbles
01:53 The Importance of Understanding Bubbles
05:05 Tulip Mania: A Historical Perspective
11:35 The Railroad Boom and Its Lessons
17:45 The Dot-Com Bubble: Lessons Learned
24:32 Productive vs. Destructive Bubbles
29:04 Monetary Policy and Its Impact
32:29 The AI Bubble: Current Trends
37:34 Investing in Breakthrough Technologies
About Aman Verjee
Aman Verjee is a Silicon Valley venture capitalist with an extraordinary career as an early PayPal employee, CFO at Sonos and eBay North America, and today is a General Partner at Practical Venture Capital. His upcoming book A Brief History of Financial Bubbles, where he breaks down centuries of speculation—from tulip mania to tech and AI—so we can understand not just what happened, but why it keeps happening.
To connect with Aman: www.bigbubbletrouble.com www.amanverjee.com
About Karen Rands
Karen Rands is the founder of The Compassionate Capitalist Movement™. As a Venture Catalyst and best-selling author, she is disrupting the status quo by equipping a new generation of "Compassionalists" to bridge the wealth gap through private equity and small business investment.
Bridge the Wealth Gap: Get Karen’s Books on Amazon
Join the Academy: The Compassionalist Academy™ (Sign up now for 25% off the annual license!)
If you found value in this episode, please like, subscribe, and share it with a fellow leader ready to disrupt the average.
http://compassionalistacademy.com
Tags: financial bubbles, investment strategies, economic history, venture capital, tulip mania, railroad boom, dot-com bubble, market psychology, cheap money, Aman Verjee, Compassionate Capitalist Show.
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The principles of the game.
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the game.
OK, welcome back to the
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Compassionate Capitalist Show,
where we showcase keen insights
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of industry leaders that help to
guide your journey to wealth as
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an entrepreneur or an investor
in entrepreneurs and
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entrepreneur companies.
Today's conversation is
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especially timely if you've ever
wondered why markets seem to
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swing from euphoria to panic,
why fortunes are made and lost
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in waves, and whether you're
living through yet another
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bubble.
You're going to love this
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episode.
My guest today, Aman Virgie, is
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a Silicon Valley venture
capitalist with an extraordinary
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career.
A Manhatt was an early PayPal
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employee, served as a CFO at
Sonos and eBay in North America,
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worked at Lehman Brothers, and
today he's a general partner at
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Practical Venture capital.
He's also the author of the
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upcoming book A Brief History of
Financial Bubbles, where he
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breaks down the centuries of
speculation from Tulip mania to
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tech and AI.
So we can understand not just
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what happened, but why it keeps
happening.
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And then when you know why it
keeps happening, knowledge is
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power.
You have the ability and
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hopefully through the course of
this conversation, I'm going to
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have with Aman how to
potentially avoid a bubble or at
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least go slow, Ted lightly as
you start to enter into a bubble
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so that you can anticipate and
make good financial decisions.
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Not only as the founder of a
company or an executive in a
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company that might be in the
space or being impacted, but
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also as investors investing
across the board from private to
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public in the things that might
ultimately become part of a
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bubble.
So, so it's Aman.
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Welcome to the show.
Thank you, Karen.
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Great to great to see you.
Great to be on the show.
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OK, so before we dive into
specific examples, the start of
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the big picture, what originally
motivated you to write the Brief
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History of Financial bubbles?
Why do you think understanding
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bubbles is so important right
now?
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Well, I have been in markets for
a long time now, I said.
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I started my career as a bond
trader at Lehman Brothers.
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So I've been in and around
financial markets probably for
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about 25 years now.
And in the, in the last couple
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of years as I've been running my
venture capital fund, we had a
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lot of investment opportunities
in 2000, 2020.
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One just as we were getting
started where we had a whole
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avalanche of companies that were
pitching a certain type of
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business that was really
predicated on remote work and
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the, the post COVID downturn.
And there was a lot of
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excitement and a lot of a lot of
energy around crypto and
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decentralized web and finance.
And my partner and I took a very
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slow approach.
We had been around, I guess
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luckily for us, we'd been around
in 2008 and 9 and saw one epic
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run up in the market and then a
crash.
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And then we were kind of young
entrepreneurs at PayPal, as you
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said, in 2001.
So I kind of had some
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recollection to have that all
played out.
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And just that pattern
recognition made me think we
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should be really slow and, and
thoughtful in how we deploy
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capital because this feels like
the third bubble of my lifetime.
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And my partner was like, well,
we're not supposed to hold
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capital, man.
We just raised a fund.
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We're calling capital.
We get paid management fees.
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Surely we're supposed to put
that money to work.
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What are we going to tell our
our investors?
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I just told them, look, I think
we have to hold, hold our money
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until we think the asset prices
have normalized.
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How long will that be?
He asked.
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I mean, are we going to go on
the beach for 18 months, a year
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or two years?
So I began researching bubbles
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just out of curiosity, thinking
like, how long do these typical
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cycles last?
Why do they happen?
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Why do they recur?
And the more I learned about it,
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I got kind of a, a template in
mind for how these things
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typically play out and why and
how long it takes.
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So a lot of it was just figuring
out how to be a successful
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investor in what I thought was a
market where I'd seen some stuff
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before.
A lot of the funds in the space
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were jumping in because they
hadn't seen, you know, these are
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2530 year old fund managers.
So they hadn't been through the
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last bubble and didn't really
know quite what to do.
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But in addition to that
education, I just found it
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interesting.
I thought the research was
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fascinating.
They kept looking back in
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history to find some of these
recurring themes.
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And, and I hope it's a it's a
entertaining and fun as well as
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educational book for for a lot
of folks.
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Well, you know, I'm sort of like
an economics junkie, you know,
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in a way that was my training,
my educational, my first
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educational background from
college.
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And I, and it's, I think it's
really always interesting to
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sort of anticipate or try to
like analyze what the bubbles
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are.
So when you, you know, approach
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me about being a guest on the
show, I thought, oh, this is
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going to be fun because it is.
You know, oftentimes there's
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indicators that we're leading
into it.
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You know, we talked previously
and we'll get into it about the
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cheap money as part of that.
But is it fair to say that
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bubbles aren't just financial
events, but also social and
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psychological ones as well?
I certainly think so.
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You know, I'm also an economics
junkie.
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It's been, it's been my passion
all my life.
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It was my favorite subject in
high school and that's what I
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studied at at Stanford undergrad
and I now teach that at at
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Harvard Business School.
So I'm, I'm biased to say that
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it's the economics around it is
sort of where I, where my head
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goes.
But you'll see in the book that
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I go through the political
context, the social context.
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Why did, why do bubbles happen,
for instance, in Amsterdam, 1636
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around tulips?
What did happen around, you
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know, or tobacco or why didn't
happen in London?
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It could happen in Paris, it
could happen in 1626, not 1636.
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That has nothing to do with
economics.
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All those factors are politics,
religion, the role of the church
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and society at the time.
And so I incorporate all that
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stuff into the, the narratives.
I think there's a lot to be said
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about these, these qualitative
or societal factors and
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political factors, and they keep
recurring over and over again,
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which is also one of the one of
the telltale signs.
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Yeah, well, let's talk about the
Tulip mania of Amsterdam,
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because you know that even
though it was so long ago, it
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still pops up as a relevant
example.
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00:07:04,040 --> 00:07:05,720
And obviously you covered it in
your book.
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So what does that story teach us
today?
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Well, I'll give you just a quick
encapsulation of what what
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happened.
So the Dutch at the time were
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the wealthiest country in the
world.
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And one thing I've I've
recognized in this bubble is
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that they typically happen in
the country that is the
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wealthiest 1 and maybe in the
most financially successful city
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in the richest country in the
world.
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So that was true of the
Netherlands and in particular
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Amsterdam in 1636.
They had just become the global
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reserve currency.
The guilder was the currency in
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which everyone transacted.
They were a seafaring nation.
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They became, as a result, they
opened up trade to the West
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Indies and became the wealthiest
country in Europe.
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So there's a lot of money
floating around.
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Also true of Paris.
Also true of London, but not
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quite to the same degree in
Paris at the time.
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This is one of the social
factors.
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Now in Paris at the time,
there's a lot of places where
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you can spend money.
If you're in the wealthy
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aristocracy, you can buy land,
you can buy clothes, there's
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fine silts, they're very fashion
forward.
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There's furniture for the
houses.
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00:08:03,680 --> 00:08:06,280
There's a lot of places where
you could spend your money as a
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wealthy Parisian in the 1630s.
Not so much in Amsterdam.
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It's a puritan country.
The society looks down upon the
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ostentatious displays of wealth.
Lots of stories about travelers
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who come to the Netherlands from
London in the 16th and they
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00:08:21,080 --> 00:08:24,560
cannot tell the richest merchant
from the poorest member of the
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working class because the
clothes all look the same.
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There's no distinction in terms
of their, their upward
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presentment.
And they're not, you know,
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spending the money on lavish
stuff, unlike Paris or the
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summits of London.
So where does all the money go?
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Well, it goes into houses,
country houses, country houses
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have gardens, gardens have
flowers.
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00:08:41,120 --> 00:08:42,640
The Tulip is a very beautiful
flower.
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00:08:42,640 --> 00:08:45,760
And all of a sudden there
becomes a huge bid around the,
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00:08:46,240 --> 00:08:48,400
the florists.
And so that industry expands in
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the 1620s and 30s.
It's, it becomes socially
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00:08:51,280 --> 00:08:53,000
acceptable.
There's some horticulture and
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00:08:53,000 --> 00:08:55,680
science behind it.
People begin to take that as
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like a, as a real serious
endeavor and then the prices
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00:08:58,600 --> 00:09:02,080
begin to increase and the
limited supply of tulips and
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00:09:02,080 --> 00:09:05,520
just the, the form, the variety
of the varietals become very
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00:09:05,520 --> 00:09:07,600
coveted.
In some cases, the top of the
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00:09:07,600 --> 00:09:13,040
bubble in 16361637, you can buy
a house on the river, the Amstel
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00:09:13,040 --> 00:09:16,800
River in Amsterdam for a, a
couple of tulips.
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00:09:16,800 --> 00:09:21,160
That's how, that's how valuable
these things got really six
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00:09:21,160 --> 00:09:23,520
times the average salary of a of
a merchant.
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00:09:24,040 --> 00:09:27,560
And then very quickly in
February of 1637, the bust
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00:09:27,560 --> 00:09:29,800
happens.
And it's not entirely clear, you
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00:09:29,800 --> 00:09:31,480
know, why the bust happens when
it did.
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00:09:31,480 --> 00:09:33,720
There was a market swarm that
just drove up the price.
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00:09:33,720 --> 00:09:37,600
A lot of psychology.
And then the, the, the frenzy
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00:09:37,600 --> 00:09:41,400
just rolls away in early 1637
and the market goes dead and
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00:09:41,400 --> 00:09:43,440
prices of tulips are down by
90%.
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00:09:43,920 --> 00:09:46,640
And, and that whole episode is
just what what you learned about
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00:09:46,640 --> 00:09:50,960
it is, you know, it's one, one
bit, one bit economy, a lot of
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00:09:50,960 --> 00:09:54,120
psychology, people just rush to
a new commodity and new products
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00:09:54,120 --> 00:09:57,040
and they bid up the price.
If something is in limited
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00:09:57,040 --> 00:10:01,560
supply, it becomes coveted.
And also you can't produce it.
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00:10:02,080 --> 00:10:04,960
But in the case of tulips, there
was a whole flurry of new
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00:10:04,960 --> 00:10:08,960
varieties and new tulips in the
16361637 and they flooded the
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00:10:08,960 --> 00:10:10,960
markets.
You know, you'll learn about the
206
00:10:10,960 --> 00:10:14,040
scarcity of a commodity and just
the the whim of a people.
207
00:10:14,160 --> 00:10:21,280
Yeah, OK, So it was there.
So this kind of creates a sort
208
00:10:21,280 --> 00:10:24,520
of interesting, you know,
there's speculation where people
209
00:10:24,520 --> 00:10:27,400
are playing options or futures
and thinking.
210
00:10:27,400 --> 00:10:30,640
But then there's sometimes a
social signaling.
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00:10:30,880 --> 00:10:33,680
You know, people might say, oh,
it's like almost like a lemming,
212
00:10:34,000 --> 00:10:37,040
you know, we're like everybody
else is doing it, so I need to
213
00:10:37,360 --> 00:10:40,480
do it too, without really
understanding what it is they're
214
00:10:40,480 --> 00:10:42,800
doing.
Or just, you know, in this case,
215
00:10:42,800 --> 00:10:46,240
it was a product.
So even though they weren't
216
00:10:46,240 --> 00:10:51,520
trying to show off their wealth,
did tulips become the signal of
217
00:10:51,520 --> 00:10:55,560
wealth or had it spread wide
enough around because it got
218
00:10:55,560 --> 00:10:58,960
started there and then?
People like you, used in Paris
219
00:10:58,960 --> 00:11:00,960
for as an example, wanted to
have tulips too.
220
00:11:01,040 --> 00:11:03,960
Yeah, it became a acceptable
social signal.
221
00:11:03,960 --> 00:11:06,840
There are always ways that you
can signal your status, your
222
00:11:06,840 --> 00:11:10,200
knowledge, your sophistication.
In Paris, it was really done in
223
00:11:10,200 --> 00:11:12,800
a more ostentatious way.
It was you have to be part of
224
00:11:12,800 --> 00:11:15,200
the, if you're part of the
aristocracy and you have land
225
00:11:15,200 --> 00:11:16,600
and you have a house and you
then you have the right
226
00:11:16,600 --> 00:11:18,800
furniture.
They were, they were the
227
00:11:18,800 --> 00:11:21,120
inventors of fashion in the
1600s.
228
00:11:21,120 --> 00:11:24,160
So they're they're dresses and
their gowns and their silks and
229
00:11:24,160 --> 00:11:26,520
the latest fashion that these
are all the ways that you signal
230
00:11:27,000 --> 00:11:29,840
being part of that elite group.
I guess like AI don't know a
231
00:11:29,840 --> 00:11:31,920
Hollywood star today.
You know, they're always
232
00:11:31,920 --> 00:11:33,600
dressing in the latest fashion
suit.
233
00:11:33,600 --> 00:11:36,120
The question you get on the on
the red carpet at the Academy
234
00:11:36,120 --> 00:11:39,520
Awards is it's very rarely tell
me about the artistic influences
235
00:11:39,520 --> 00:11:40,720
of your movie.
It's like, Hey, who are you
236
00:11:40,720 --> 00:11:42,120
wearing?
And if you can bring your
237
00:11:42,120 --> 00:11:44,880
fashion designer with you, then,
you know, that becomes a signal.
238
00:11:44,920 --> 00:11:48,000
Interestingly, the Puritans in
in the Netherlands, as a
239
00:11:48,000 --> 00:11:51,120
distinct from the Catholics in
France, they didn't they didn't
240
00:11:51,360 --> 00:11:55,120
they were very austere and what
in terms of clothes, in terms of
241
00:11:55,120 --> 00:11:58,520
that ostentatious presentment,
but houses and gardens and you
242
00:11:58,520 --> 00:12:01,680
know, flowers in the garden and
the beauty that that has was
243
00:12:01,720 --> 00:12:04,520
socially acceptable.
It became the envy.
244
00:12:04,520 --> 00:12:06,600
It became the object of envious
desire.
245
00:12:06,800 --> 00:12:09,600
We see it here in the Bay Area
at least we see crypto and
246
00:12:09,600 --> 00:12:12,480
Bitcoin and you know, four or
five years ago, everybody was
247
00:12:12,480 --> 00:12:15,800
trying to get into Bitcoin.
Nobody was thinking about buying
248
00:12:15,800 --> 00:12:18,480
gold for sure.
And a lot of my colleagues here
249
00:12:18,480 --> 00:12:20,480
in the Bay Area weren't even
thinking about buying stocks
250
00:12:20,480 --> 00:12:22,360
that paid dividends and
generated returns.
251
00:12:22,360 --> 00:12:25,560
They were thinking about what is
the latest altcoin, you know,
252
00:12:25,560 --> 00:12:27,360
how do I signal that I'm with
it?
253
00:12:27,400 --> 00:12:30,360
Because I know and I'm have
information about and now I'm
254
00:12:30,360 --> 00:12:33,680
buying some of these new meme
coins, which, you know, that
255
00:12:33,680 --> 00:12:36,480
strikes me as an unhealthy
destructive bubble, but that
256
00:12:36,480 --> 00:12:38,920
that has certainly happens.
Yeah, OK.
257
00:12:39,560 --> 00:12:43,520
So you also talk about the
railroad boom of the 1800s.
258
00:12:44,240 --> 00:12:47,680
What similarities do you see
between that era and the more
259
00:12:47,680 --> 00:12:51,840
modern bubbles in particular
that you outline reoccurring
260
00:12:51,840 --> 00:12:54,880
patterns?
So is that do they show up again
261
00:12:54,880 --> 00:12:57,440
and again?
And do we learn from that in the
262
00:12:57,440 --> 00:13:00,240
past, like the railroad bubble?
Yeah, that one, that one is an
263
00:13:00,240 --> 00:13:03,240
interesting one because it did,
they did fall into some some bad
264
00:13:03,240 --> 00:13:07,360
habits in the 1840s that.
So we'll learn from some of it,
265
00:13:07,360 --> 00:13:09,800
but I don't think we've
perfected that lesson yet.
266
00:13:10,480 --> 00:13:13,880
That was the technology that was
developed in the 1830s and 40s
267
00:13:13,880 --> 00:13:17,160
primarily in England as a result
of the Industrial Revolution.
268
00:13:17,600 --> 00:13:20,200
And there was an understanding
that it was going to change the
269
00:13:20,200 --> 00:13:23,080
world, that it was going to
connect England in a way that
270
00:13:23,080 --> 00:13:25,160
had never happened before.
It was going to make
271
00:13:25,160 --> 00:13:29,400
transportation a lot easier.
As an example, back in the 1820s
272
00:13:29,400 --> 00:13:33,160
and 30s, London, the difference
between like London and Norwich,
273
00:13:33,160 --> 00:13:36,520
which is a city a couple 100
miles away was like a six day,
274
00:13:36,800 --> 00:13:39,440
seven day ride on a horse and a
buggy.
275
00:13:39,440 --> 00:13:42,800
It was very inconvenient and you
could be from London to Paris in
276
00:13:42,800 --> 00:13:45,080
maybe a couple of days with this
a channel process.
277
00:13:45,080 --> 00:13:48,200
So London as a result is a lot
more connected in its economy to
278
00:13:48,200 --> 00:13:50,760
Paris than to parts of the the
north of London.
279
00:13:51,320 --> 00:13:53,400
But railroads changed all that
because they were going to
280
00:13:53,400 --> 00:13:55,560
connect the country and make
commerce work a lot better and
281
00:13:55,560 --> 00:13:57,800
that would connect the national
market and just make everyone,
282
00:13:57,920 --> 00:14:00,320
everyone richer.
So there's a flood of investment
283
00:14:00,320 --> 00:14:02,600
and interest in this brand new
technology, this
284
00:14:03,000 --> 00:14:08,560
transformational technology.
But by 18441845, at that point
285
00:14:08,600 --> 00:14:11,440
when the when the investment
boom starts, the business plans
286
00:14:11,440 --> 00:14:14,320
began mounting up and everyone's
doing it thinking if I just
287
00:14:14,320 --> 00:14:19,400
build the track, the demand will
come Between 1845 and 1849,
288
00:14:19,400 --> 00:14:23,720
which is the period that I
cover, something like 3500 miles
289
00:14:23,720 --> 00:14:27,960
of track gets authorized by the
English government, which is 15
290
00:14:27,960 --> 00:14:30,920
times what had been built in
England's history.
291
00:14:31,440 --> 00:14:33,120
So a lot of track in a very
short amount of time.
292
00:14:33,120 --> 00:14:35,640
And if I add up all the
assumptions in the business
293
00:14:35,640 --> 00:14:38,960
cases, in those in that boom,
they were planning on building
294
00:14:38,960 --> 00:14:42,520
24,000 miles of track.
So 10 times what actually got
295
00:14:42,520 --> 00:14:45,920
greenlit by the government.
So the revenue from railroads
296
00:14:45,960 --> 00:14:47,800
was real.
The revenue from railroads
297
00:14:47,960 --> 00:14:51,400
doubled between 1845 and 1849.
It doubled again in the late
298
00:14:51,400 --> 00:14:54,000
1850s.
But they invested so much and
299
00:14:54,000 --> 00:14:56,760
built so much supply that demand
never caught up.
300
00:14:57,840 --> 00:14:59,920
And the exact same thing
happened in the 1990s when the
301
00:14:59,920 --> 00:15:01,600
Internet came, changed
everything.
302
00:15:01,600 --> 00:15:04,080
Everyone knew it was going to be
transformational technology, but
303
00:15:04,640 --> 00:15:06,600
all the Internet traffic, even
though it was doubling and
304
00:15:06,600 --> 00:15:09,600
doubling and doubling every year
for a period, it got outstripped
305
00:15:09,600 --> 00:15:12,600
by the telecom, the dark fiber
that was being laid by the
306
00:15:12,600 --> 00:15:14,520
telecom companies in the late
1990s.
307
00:15:14,800 --> 00:15:17,320
And so they, they just thought
the demand would explode.
308
00:15:17,320 --> 00:15:19,280
And somehow all that if you
build it, it will come.
309
00:15:19,280 --> 00:15:22,320
And what you see in those two
cases that a number of others
310
00:15:22,320 --> 00:15:25,120
that I cover is just a
technology, a new technology
311
00:15:25,120 --> 00:15:28,600
that gets a a rapid build out
and gets overbuilt and then the
312
00:15:28,600 --> 00:15:35,680
market has to has to catch up.
Sothe.com bubble was partially
313
00:15:35,680 --> 00:15:38,960
triggered by the overbuilding of
Internet access.
314
00:15:39,120 --> 00:15:43,720
Yeah, in 1995, it really gets.
It starts off with Netscape,
315
00:15:44,320 --> 00:15:47,160
which is the first browser that
like you or I could use.
316
00:15:47,160 --> 00:15:49,520
Before that, the Internet wasn't
wasn't really a thing.
317
00:15:49,800 --> 00:15:52,080
It was the thing, but it was a
bunch of college professors and
318
00:15:52,080 --> 00:15:54,160
government officials who had
built stuff that, frankly,
319
00:15:54,480 --> 00:15:56,120
nobody could use unless you had
an advanced degree in
320
00:15:56,120 --> 00:15:58,560
programming.
And then Marc Andreessen at 95
321
00:15:58,560 --> 00:16:02,280
comes up with a browser that you
or I or, you know, my daughter
322
00:16:02,280 --> 00:16:04,360
could use.
And now everyone is on the
323
00:16:04,360 --> 00:16:06,400
Internet.
And so there's a huge demand for
324
00:16:06,520 --> 00:16:09,000
Internet companies, the telecom
companies.
325
00:16:09,000 --> 00:16:11,360
The telecom industry gets
deregulated in 1996.
326
00:16:11,360 --> 00:16:13,760
And now the telecom companies
are like, well, if we can
327
00:16:13,760 --> 00:16:16,720
provide broadband to our
Internet customers who can then
328
00:16:16,720 --> 00:16:19,200
use it to, you know, do
everything from shopping to
329
00:16:19,200 --> 00:16:21,920
collaborating online and all the
other use cases of the Internet,
330
00:16:22,480 --> 00:16:24,680
we can make a lot of money.
But you have to build fiber
331
00:16:24,680 --> 00:16:27,280
optic cable to provide that
broadband to all those
332
00:16:27,280 --> 00:16:29,320
households.
And the expectation was that the
333
00:16:29,320 --> 00:16:33,000
Internet usage would be so much
that the demand for all that
334
00:16:33,000 --> 00:16:37,320
fiber optic, fiber optic cable
between 96 and 99 would require
335
00:16:37,360 --> 00:16:39,600
hundreds of billions of dollars
of investment.
336
00:16:40,000 --> 00:16:42,280
And then the telecom companies
start jumping in to build that.
337
00:16:42,520 --> 00:16:43,800
They would do that a lot with
debt.
338
00:16:43,800 --> 00:16:45,440
They didn't do it with equity.
They took debt.
339
00:16:45,800 --> 00:16:47,480
These companies weren't very
profitable.
340
00:16:47,480 --> 00:16:51,120
They they had free cash flow
negative margins during that
341
00:16:51,120 --> 00:16:53,480
period that they were able to
borrow on the promise of the
342
00:16:53,480 --> 00:16:55,960
Internet.
And so they built out that that
343
00:16:55,960 --> 00:17:00,240
fiber optic cable network, well
at the peak of the bubble in 99
344
00:17:00,240 --> 00:17:05,359
two, 1097% of the fiber they
laid was dark, meaning it wasn't
345
00:17:05,720 --> 00:17:08,280
wasn't being used.
And even a decade later, only
346
00:17:08,280 --> 00:17:11,720
about 2/3, about 1/3 of it was
used and 2/3 of it was still
347
00:17:11,720 --> 00:17:13,400
dark.
So they built basically in
348
00:17:13,400 --> 00:17:15,760
anticipation of demand
happening, but they built so
349
00:17:15,760 --> 00:17:19,240
fast and so much that for the
next 10-15 years, most of what
350
00:17:19,240 --> 00:17:21,079
they built didn't even didn't
even get used.
351
00:17:21,079 --> 00:17:22,960
And so a lot of money got wasted
on that build out.
352
00:17:23,119 --> 00:17:27,640
OK, so I have, you know, like
this might bring us into the
353
00:17:27,640 --> 00:17:30,160
conversation of cheap money.
I had been, you know, we
354
00:17:30,200 --> 00:17:33,880
previously talked about the
skyscraper, you know, theory,
355
00:17:33,880 --> 00:17:37,280
whatever about real over
building real estate when
356
00:17:37,280 --> 00:17:40,840
there's cheap money, which was,
you know, I, I guess with our
357
00:17:41,000 --> 00:17:43,040
real estate bubble that we had
in the Great Recession,
358
00:17:43,360 --> 00:17:49,400
butduringthe.com, what I saw
sort of happening was cheap
359
00:17:49,400 --> 00:17:54,800
money in venture capital, money
competing for deals because
360
00:17:54,800 --> 00:17:57,520
they've sort of keeping up with
the Joneses sort of a thing.
361
00:17:57,520 --> 00:18:01,240
So you ended up having because I
guess what you're talking about,
362
00:18:01,240 --> 00:18:05,320
the promise of all this Internet
usage, all these new business
363
00:18:05,320 --> 00:18:09,960
models, you know, e-commerce,
But I like the example of online
364
00:18:09,960 --> 00:18:13,800
pet stores, you know, and you
know, pet, you know, and, and
365
00:18:13,800 --> 00:18:16,520
not all of them could survive,
But there was so much money
366
00:18:16,520 --> 00:18:20,640
being thrown in because when you
create a market for an exit,
367
00:18:21,280 --> 00:18:23,600
right?
And you and you, you manufacture
368
00:18:23,600 --> 00:18:26,720
the exit because there's a buzz
of people, public stockholders
369
00:18:26,720 --> 00:18:29,840
want to buy this new hot and
there's so many of them
370
00:18:29,840 --> 00:18:32,200
happening, but they can't
sustain that.
371
00:18:32,200 --> 00:18:36,280
It just it starts to implode on,
on itself, hence the bubble.
372
00:18:36,640 --> 00:18:40,000
And I always interpreted the.com
bubble as the fact that these
373
00:18:40,000 --> 00:18:44,080
IPOs couldn't sustain because
they had been throwing to sort
374
00:18:44,080 --> 00:18:47,120
of kind of like what we're
experiencing and we see sort of
375
00:18:47,120 --> 00:18:50,400
manifesting itself now with
unicorns, right?
376
00:18:50,400 --> 00:18:53,520
A lot of money going in to
create these, but their business
377
00:18:53,520 --> 00:18:57,600
model doesn't support it.
So they either delay, you know,
378
00:18:57,600 --> 00:19:00,360
precariously to go public
because they can't support.
379
00:19:00,360 --> 00:19:03,080
They've learned their lesson in
a way of not putting a public
380
00:19:03,080 --> 00:19:04,880
company out there.
They can't sustain the value
381
00:19:04,880 --> 00:19:08,800
proposition or the valuation,
the market cap and then, you
382
00:19:08,800 --> 00:19:13,200
know, having and then, you know,
market corrections on those.
383
00:19:14,000 --> 00:19:17,520
But then you, you risk missing
the mark because other
384
00:19:17,520 --> 00:19:20,280
technology might leap you or
other value propositions of
385
00:19:20,280 --> 00:19:23,720
another company might leap in
that process because they're the
386
00:19:23,720 --> 00:19:25,240
new thing that's getting
capitals.
387
00:19:26,280 --> 00:19:28,440
Talk a little bit about your
experience because out of
388
00:19:28,440 --> 00:19:31,040
Silicon Valley, you're right.
And some of the companies that
389
00:19:31,040 --> 00:19:32,960
you were part of, you were
living and breathing that at the
390
00:19:32,960 --> 00:19:35,640
time.
So was there as any kind of
391
00:19:35,640 --> 00:19:40,240
perception that, I mean, I, I
look back to Guy Kawasaki
392
00:19:40,240 --> 00:19:44,200
talking about at garage.com at
the time where they were not
393
00:19:44,200 --> 00:19:47,080
really doing due diligence on
someofthese.com companies.
394
00:19:47,080 --> 00:19:50,400
They were just trying to find
another one to invest in because
395
00:19:50,520 --> 00:19:54,400
one of their peer VC companies
had invested in ABC.
396
00:19:54,400 --> 00:19:58,800
So they needed to find, you
know, DEF company and see which
397
00:19:58,800 --> 00:20:01,520
one could, could win in the
public marketplace.
398
00:20:01,880 --> 00:20:04,400
Was was is that just outside
looking in or was that really
399
00:20:04,400 --> 00:20:07,960
happening?
Yeah, I think the the lesson of
400
00:20:07,960 --> 00:20:10,840
the late 1990s for sure where
it's a tail end.
401
00:20:11,120 --> 00:20:13,880
I think you've described
accurately that market
402
00:20:13,880 --> 00:20:17,720
psychology what what tends to
happen and there's just a just a
403
00:20:18,200 --> 00:20:21,560
recap some of the major events.
So in 9596, the market after
404
00:20:21,560 --> 00:20:25,080
Netscape goes public, which is a
unprofitable money losing
405
00:20:25,080 --> 00:20:28,080
company, but it seems to have
the promise of great fortune.
406
00:20:28,640 --> 00:20:31,240
Then you get a whole bunch of
competition of a bunch of mostly
407
00:20:31,240 --> 00:20:34,720
consumer Internet companies.
The example of the you know
408
00:20:34,760 --> 00:20:38,600
pets, PetSmart and pets.com and
Amazon is also selling or
409
00:20:38,720 --> 00:20:42,240
signaling wants to go into pets
and say you get 3456 companies
410
00:20:42,600 --> 00:20:44,760
doing the same thing.
None of them are profitable.
411
00:20:44,760 --> 00:20:47,400
None of them are even
prospectively profitable, but
412
00:20:47,400 --> 00:20:50,560
all of them are able to raise a
venture, a bunch of venture
413
00:20:50,560 --> 00:20:52,680
money.
That was definitely happening in
414
00:20:52,800 --> 00:20:57,160
959697.
Up until that point, though, it
415
00:20:57,160 --> 00:20:59,160
seemed like the balance
unbalanced.
416
00:20:59,160 --> 00:21:01,720
Most of those business models
were good.
417
00:21:01,800 --> 00:21:05,120
There were companies like Amazon
or Yahoo that were able to go
418
00:21:05,120 --> 00:21:08,080
public. eBay, where where I
worked was another public
419
00:21:08,080 --> 00:21:10,360
company at the time.
You also had real technology
420
00:21:10,360 --> 00:21:13,760
happening, TDMA adoption, like
real people using the Internet
421
00:21:13,760 --> 00:21:17,240
and using it for business cases.
And then in 19, at the end of
422
00:21:17,240 --> 00:21:20,320
1996, Ellen Greenspan is the
chairman of the Fed at the time,
423
00:21:20,880 --> 00:21:22,480
gives a big speech in
Washington, DC.
424
00:21:22,520 --> 00:21:25,600
And he basically says, hey,
look, it's a rational exuberance
425
00:21:25,600 --> 00:21:28,920
speech where he basically says,
look, we should be thoughtful
426
00:21:28,920 --> 00:21:31,080
about where valuations are right
now.
427
00:21:31,080 --> 00:21:32,440
Are they?
He didn't say that they are
428
00:21:32,440 --> 00:21:35,280
irrational, but he basically
asked it like a question.
429
00:21:35,280 --> 00:21:37,800
I am observing that there is
this big run up in valuations in
430
00:21:37,800 --> 00:21:39,680
a short amount of time, a lot of
money being spent.
431
00:21:40,240 --> 00:21:43,200
I am prone to wonder whether
it's rational or not.
432
00:21:43,200 --> 00:21:45,600
And when the central banker says
that, he's sort of signaling,
433
00:21:45,600 --> 00:21:48,440
hey, maybe we got to take some
of the air out of the balloon
434
00:21:48,440 --> 00:21:50,520
because this is getting
potentially unhealthy.
435
00:21:50,600 --> 00:21:52,800
And he references Japan in his
speech, which was another
436
00:21:52,800 --> 00:21:55,200
example of a bubble that went
bust with really negative
437
00:21:55,200 --> 00:21:57,800
consequences.
Well, Greenspan was a very free
438
00:21:57,800 --> 00:21:59,400
market guy.
I don't think he had any
439
00:21:59,400 --> 00:22:02,720
intention of telling the market
how it should be pricing things.
440
00:22:02,720 --> 00:22:05,440
But the tone of the speech, and
I've read it, it reminds me of
441
00:22:05,440 --> 00:22:07,760
me telling my older daughter
maybe, hey look, I'm thinking
442
00:22:07,760 --> 00:22:09,920
about separating you and your
sister because you 2 are
443
00:22:09,920 --> 00:22:12,320
fighting a lot and I don't want
to tell you what to do and you
444
00:22:12,320 --> 00:22:13,920
have to work it out.
But you're, it seems like you're
445
00:22:13,920 --> 00:22:16,000
about to set your sister's hair
on fire.
446
00:22:16,280 --> 00:22:19,120
Like at what point do I father
intervene and now begin to
447
00:22:19,120 --> 00:22:21,800
separate you 2 idiots?
But he doesn't actually do it.
448
00:22:21,960 --> 00:22:25,040
And so the market takes a little
bit of a pause in 9097.
449
00:22:25,040 --> 00:22:27,520
There's a draw down and then
Amazon goes public and all of a
450
00:22:27,520 --> 00:22:29,800
sudden it's game on and the
market is another big year.
451
00:22:30,240 --> 00:22:33,720
And then in in 97 and through
1998, there's a Asian financial
452
00:22:33,720 --> 00:22:35,800
crisis rolls through the global
markets.
453
00:22:36,400 --> 00:22:39,120
But you might remember, but very
few people remember now in the
454
00:22:39,120 --> 00:22:42,040
context of the the.com boom.
But it's important because in
455
00:22:42,040 --> 00:22:44,480
the middle of 98, just as the,
as the financial crisis is
456
00:22:44,480 --> 00:22:47,760
rolling through, there's a 20%
drawdown in the market.
457
00:22:47,760 --> 00:22:51,080
So the kind of a mini bear
market in the middle of 1998.
458
00:22:51,640 --> 00:22:53,640
And all of a sudden investors
have got to be thinking at that
459
00:22:53,640 --> 00:22:54,800
point.
Like to me, that's just a
460
00:22:54,800 --> 00:22:57,480
healthy correction because now
investors who were wanting to
461
00:22:57,480 --> 00:23:00,280
invest in the 3rd, 4th of the
6th unprofitable pets company,
462
00:23:00,480 --> 00:23:02,960
Ron noticed that, hey, this,
maybe this is, this is too good
463
00:23:02,960 --> 00:23:04,760
to be true.
Maybe we should be wary.
464
00:23:04,760 --> 00:23:07,040
Maybe we should be doing
diligence on our tech companies
465
00:23:07,040 --> 00:23:09,520
and the pressure is going to be
on for returns and real cash
466
00:23:09,520 --> 00:23:11,720
flows as opposed to just getting
in on the next deal, which I
467
00:23:11,720 --> 00:23:14,840
think is a healthy correction.
Unfortunately, right in the
468
00:23:14,840 --> 00:23:19,800
middle of that 1998 drawdown or
correction, the the long term
469
00:23:19,880 --> 00:23:22,440
hedge fund called Long Term
Capital Management gets caught
470
00:23:22,760 --> 00:23:24,760
offside by the Asian financial
crisis.
471
00:23:25,240 --> 00:23:28,440
It's not a big hedge fund.
It's 5 billion in equity, 125
472
00:23:28,440 --> 00:23:31,440
billion in debt, not big by
today's standards, but over a
473
00:23:31,440 --> 00:23:34,880
trillion dollars in notional
swaps and derivatives.
474
00:23:34,880 --> 00:23:37,320
So they are a counterparty for
all kinds of banks in Wall
475
00:23:37,320 --> 00:23:39,640
Street.
And as the as the market begins
476
00:23:39,640 --> 00:23:41,880
to trade off and the risk
spreads begin to increase,
477
00:23:42,360 --> 00:23:43,720
they're basically going to go
insolvent.
478
00:23:43,880 --> 00:23:45,880
And a lot of the banks are now
concerned that, hey, one of our
479
00:23:45,880 --> 00:23:47,960
big counterparties might be
insolvent.
480
00:23:48,240 --> 00:23:50,400
That's going to create ripples
in the banking system.
481
00:23:50,840 --> 00:23:53,440
Fed steps in and they make sure
long term Capital Management
482
00:23:53,440 --> 00:23:55,440
gets bought out by a consortium
of banks.
483
00:23:55,840 --> 00:23:58,320
And then they cut interest rates
to make sure that those assets
484
00:23:58,320 --> 00:24:01,000
retain their value while they
get worked out or increase their
485
00:24:01,000 --> 00:24:02,880
value.
And so the Fed in the middle of
486
00:24:02,880 --> 00:24:06,120
this booming economy with the
market at very high valuations,
487
00:24:06,400 --> 00:24:09,520
they cut rates not once, not
twice, but three times in the
488
00:24:09,960 --> 00:24:12,920
fall of 1998.
And when you make money cheap
489
00:24:12,920 --> 00:24:14,480
like that, that's back to the
cheap money point.
490
00:24:14,480 --> 00:24:17,920
This seems to happen in a lot of
bubbles when you then make risk
491
00:24:17,920 --> 00:24:20,080
free rates go down and you
increase liquidity in the
492
00:24:20,080 --> 00:24:22,680
system.
You give investors like the guy
493
00:24:22,680 --> 00:24:25,640
Kawasaki example, now they have
they're you're re arming them
494
00:24:25,640 --> 00:24:28,160
with more bullets to go out and
find more companies and you're
495
00:24:28,160 --> 00:24:31,160
fueling that unhealthy dynamic.
And stocks basically doubled
496
00:24:31,160 --> 00:24:33,760
from the from late 1998 to March
of 2000.
497
00:24:34,120 --> 00:24:36,680
They doubled and then and then
the bubble pops and then they
498
00:24:36,680 --> 00:24:38,520
give back all those gains and
then some.
499
00:24:38,520 --> 00:24:41,080
And it's a difficult work out,
but all the bubbles that I
500
00:24:41,080 --> 00:24:43,920
looked at had some event like
this where either the Fed cut
501
00:24:43,920 --> 00:24:46,440
rates, there was a central bank
that was involved in lowering
502
00:24:46,440 --> 00:24:49,640
interest rates in the 1845
bubble, the UK bubble.
503
00:24:49,920 --> 00:24:53,160
It followed the 1844 rate cut by
the Bank of England, which at
504
00:24:53,160 --> 00:24:56,080
the time brought rates down to
the lowest point in 150 years.
505
00:24:56,560 --> 00:24:58,440
So on and on again.
But it definitely, it definitely
506
00:24:58,440 --> 00:25:01,200
fuels that cycle of unhealthy
valuations when there's too easy
507
00:25:01,200 --> 00:25:02,800
money at play.
Yeah.
508
00:25:03,440 --> 00:25:06,600
OK.
So you now part of your bank, I
509
00:25:06,600 --> 00:25:07,800
mean part of your book.
Oh, wait.
510
00:25:07,800 --> 00:25:10,520
Let me just say this for folks
that are listening at this
511
00:25:10,520 --> 00:25:13,560
point, you want to go no more
get on.
512
00:25:13,880 --> 00:25:16,120
By the time this comes out, it
may or may not.
513
00:25:16,600 --> 00:25:18,960
The book may or may not be out,
but where you can get either.
514
00:25:18,960 --> 00:25:21,800
If it's not out yet, you can go
get on the list to know what it
515
00:25:21,800 --> 00:25:22,760
is.
And that's at
516
00:25:22,760 --> 00:25:28,840
www.bigbubbletrouble.com.
And make sure you put your WS in
517
00:25:28,840 --> 00:25:32,040
there and go get on the list or
go get the book because I'm I'm
518
00:25:32,040 --> 00:25:33,880
certain it's going to be a
fascinating read.
519
00:25:33,920 --> 00:25:39,200
And you talk about the idea of
productive and destructive
520
00:25:39,200 --> 00:25:45,200
bubbles. 1 distinction is the
the well, let me the idea of
521
00:25:45,200 --> 00:25:48,360
productive and bubbles and
destructive bubbles. butthe.com
522
00:25:48,520 --> 00:25:52,360
bubble that we just were talking
about was a productive bubble, I
523
00:25:52,360 --> 00:25:54,680
guess, right, largely.
So can you explain the
524
00:25:54,680 --> 00:25:57,520
difference?
Yeah, I think so.
525
00:25:57,560 --> 00:25:59,800
Yes, I can.
So when most people think about
526
00:25:59,800 --> 00:26:02,440
bubble, there's just a negative
connotation around that, right?
527
00:26:02,440 --> 00:26:05,400
Like there's a big run up in
valuations, it's unsustainable,
528
00:26:05,400 --> 00:26:09,000
it's irrational, it blows up,
people lose money and then, you
529
00:26:09,000 --> 00:26:11,720
know, it's just it's bad.
All hell breaks loose.
530
00:26:12,040 --> 00:26:14,800
But the one thing I'd point out
in and look, think of the
531
00:26:14,800 --> 00:26:16,480
economic consequences for the
different bubbles.
532
00:26:16,480 --> 00:26:18,160
So what happened duringthe.com
bubble?
533
00:26:18,160 --> 00:26:20,320
A lot of investment came into a
new technology.
534
00:26:20,640 --> 00:26:22,520
The technology was real.
It was life changing for a lot
535
00:26:22,520 --> 00:26:24,640
of us.
A lot of companies that created
536
00:26:24,640 --> 00:26:28,600
in that, in that bubble, like
NVIDIA is founded in 93, PayPal
537
00:26:28,600 --> 00:26:32,160
where I work was 98.
You had Amazon founded in 94,
538
00:26:32,160 --> 00:26:36,600
Yahoo in 95, Salesforce in 1999,
what else?
539
00:26:36,600 --> 00:26:39,880
But Google kind of is founded in
98, Broadcom, which is spins out
540
00:26:39,880 --> 00:26:45,280
of a an HP affiliate IN992000,
so on and on and on.
541
00:26:45,280 --> 00:26:47,640
And so there's a lot of value
created in all those companies.
542
00:26:47,960 --> 00:26:51,720
And even after the bubble pops,
out of the detritus of the
543
00:26:51,720 --> 00:26:54,520
bubble, you have like Peter
Thiel and Elon Musk were the
544
00:26:54,520 --> 00:26:57,040
founders of PayPal where I
worked for 10 years.
545
00:26:57,480 --> 00:27:00,880
Peter takes his profits and goes
and funds Facebook and Elon goes
546
00:27:00,880 --> 00:27:04,600
on to start, you know, Tesla and
SpaceX and he buys x.com.
547
00:27:05,160 --> 00:27:07,400
So there's a lot of value
created out of that out of that
548
00:27:07,640 --> 00:27:09,320
whole experience.
In fact, if you'd bought the
549
00:27:09,320 --> 00:27:12,440
basket of Internet stocks in
1999, you probably would have
550
00:27:12,440 --> 00:27:14,400
made money today.
You would have had a lot of good
551
00:27:14,400 --> 00:27:15,920
years and then some really bad
years.
552
00:27:16,080 --> 00:27:18,480
But if you'd held through that
whole period, you would have
553
00:27:18,480 --> 00:27:20,680
made money.
And what happens to the US
554
00:27:20,680 --> 00:27:23,120
economy?
We have a mini recession in in 2
555
00:27:23,120 --> 00:27:26,880
thousand 2001, but it's not a
it's not a bad one.
556
00:27:26,880 --> 00:27:29,560
And then now over the last 20
years, the US has continued to
557
00:27:29,560 --> 00:27:32,920
grow and has now become the the
global leader in terms of GDP
558
00:27:32,920 --> 00:27:35,680
per capita and the economic
superpower.
559
00:27:35,960 --> 00:27:38,040
And all that is based on the
technology that was built in
560
00:27:38,040 --> 00:27:41,240
large part because of that that
bubble similar in the 1840s in
561
00:27:41,240 --> 00:27:44,200
the UK, the the railway boom,
although it created a lot of
562
00:27:45,040 --> 00:27:48,680
investors who had a very, very
poor run in 18495051.
563
00:27:49,040 --> 00:27:52,640
The economy has a mini recession
in 184950 and then the next 20
564
00:27:52,640 --> 00:27:55,200
years is what they call the long
Victorian boom, which is a
565
00:27:55,200 --> 00:27:56,840
period of rapidly expanding
incomes.
566
00:27:56,840 --> 00:27:58,240
It's broadly felt in the
country.
567
00:27:58,440 --> 00:28:01,120
It's driven by the tail end of
the industrial revolution and
568
00:28:01,120 --> 00:28:03,720
the locomotive and steam engines
are a big part of that.
569
00:28:04,160 --> 00:28:06,600
So those are very, those are
very positive bubbles, although
570
00:28:06,600 --> 00:28:09,480
there are creative destruction,
winners and losers and the
571
00:28:09,480 --> 00:28:11,000
negative ones.
You've already talked about the
572
00:28:11,000 --> 00:28:14,720
2008 Nine that was a -1 big, a
big recession, a lot of workout
573
00:28:14,720 --> 00:28:18,120
and the economy goes through a
A2 year recession, a big spike
574
00:28:18,120 --> 00:28:21,640
in unemployment, Australia in
the 1880's, the Great Depression
575
00:28:21,640 --> 00:28:24,680
came after the 1929 bubble,
Japan in the 1980s.
576
00:28:24,680 --> 00:28:26,920
So I draw the distinction
between ones that create
577
00:28:26,920 --> 00:28:29,320
economic value and long term
growth even though there's short
578
00:28:29,320 --> 00:28:32,040
term pain and then bubbles where
that's negative are.
579
00:28:33,280 --> 00:28:35,240
There any purely speculative
bubbles?
580
00:28:35,360 --> 00:28:39,040
Yeah, I think, I think the Tulip
bubble counts as just a lot of
581
00:28:39,680 --> 00:28:42,880
speculation of the sense of
people buying just for the sake
582
00:28:42,880 --> 00:28:45,640
of reselling at a higher price.
That probably happens across
583
00:28:46,160 --> 00:28:48,960
across the board, but that's an
example where you you it went
584
00:28:48,960 --> 00:28:53,040
from florists and people who
really appreciated tulips to all
585
00:28:53,040 --> 00:28:55,040
of a sudden people who wanted to
trade for a profit.
586
00:28:55,520 --> 00:28:58,080
A lot of the land bubbles I
think fit that pattern as well.
587
00:28:58,080 --> 00:29:00,080
People buying and flipping
properties and then waiting for
588
00:29:00,080 --> 00:29:02,360
the the higher price.
So that definitely is a
589
00:29:02,360 --> 00:29:06,880
recurring theme as well.
So when you mentioned the role
590
00:29:06,880 --> 00:29:13,560
of long term Capital Management
and monetary policy is there, I
591
00:29:13,600 --> 00:29:16,880
mean, I would think that there
are lessons learned, but there's
592
00:29:16,880 --> 00:29:19,960
still so many variables, right?
Even when you went through that
593
00:29:19,960 --> 00:29:23,520
history, there's a variable of
things that are happening.
594
00:29:23,640 --> 00:29:25,800
You know, the world is is flat,
right?
595
00:29:25,880 --> 00:29:28,440
I mean, things that happened in
other countries impact us here.
596
00:29:28,440 --> 00:29:30,280
Things that happen here impact
other countries.
597
00:29:30,560 --> 00:29:38,480
We see that all the times, you
know, we're how, what, how do
598
00:29:38,720 --> 00:29:42,560
people are these monetary policy
set, you know, people that said
599
00:29:42,560 --> 00:29:46,880
it, do they forget or do they
not anticipate?
600
00:29:46,920 --> 00:29:51,360
Or is the predictive analysis
that we do because we have
601
00:29:51,440 --> 00:29:55,240
better tools, AI tools perhaps
that might predict some
602
00:29:55,320 --> 00:29:59,160
behavior?
Do they, do they react to that
603
00:29:59,160 --> 00:30:02,640
without really thinking about
the ripple effect of, of how it
604
00:30:02,640 --> 00:30:06,840
might might be back in, you
know, whatever economic policy
605
00:30:06,840 --> 00:30:10,640
is set and the impact it has on,
you know, we're living through
606
00:30:10,640 --> 00:30:13,920
some of this stuff right now
here with our job situation and
607
00:30:13,920 --> 00:30:17,600
our lack of skills for the jobs
that are that are available and
608
00:30:17,600 --> 00:30:19,360
we're and the companies that
want to hire people.
609
00:30:19,680 --> 00:30:24,000
So talk a little bit about the
lessons learned, learning from
610
00:30:24,000 --> 00:30:26,840
lessons, forgetting lessons, and
how that fits into fiscal
611
00:30:26,840 --> 00:30:30,280
policy.
Yes, that's a great question.
612
00:30:30,280 --> 00:30:33,160
It is amazing to me that we are
still having this debate on
613
00:30:33,720 --> 00:30:36,840
monetary policy.
So think about how monetary
614
00:30:36,840 --> 00:30:39,280
policy gets set in the US right
now.
615
00:30:39,280 --> 00:30:43,120
You talked about the value of
lessons and history and AI, but
616
00:30:43,120 --> 00:30:46,680
none of that, none of that is a
factor in how we currently set
617
00:30:46,880 --> 00:30:49,680
interest rates.
We don't have AAI generating the
618
00:30:49,680 --> 00:30:52,800
machine that sets rates, you
know, day-to-day based on market
619
00:30:52,800 --> 00:30:56,400
conditions and supply demand
dynamics. the Fed meets once
620
00:30:56,400 --> 00:30:58,520
every month, sometimes once
every two months.
621
00:30:59,080 --> 00:31:01,920
These are 12 people who then
take a vote and they move
622
00:31:01,920 --> 00:31:05,360
interest rates up or down.
So that is how we set policy in
623
00:31:05,360 --> 00:31:07,800
the US today.
It seems kind of insane that
624
00:31:07,800 --> 00:31:10,520
we're not, we're not using it.
We're not setting rate policy
625
00:31:10,520 --> 00:31:12,560
based on, you know, I mean,
there are hedge funds that are
626
00:31:12,560 --> 00:31:15,320
out that are reallocating the
resources every day, every
627
00:31:15,320 --> 00:31:17,840
minute based on trading
algorithms and based on all the
628
00:31:17,840 --> 00:31:20,440
stuff you're talking about.
That's not how we set rate
629
00:31:20,440 --> 00:31:22,760
policy today.
So one, that's one observation.
630
00:31:23,000 --> 00:31:24,960
But think about today.
We've got a an example where
631
00:31:24,960 --> 00:31:29,200
we've got a economy growing at 3
to 4% year over year GDP growth.
632
00:31:29,880 --> 00:31:33,040
We have valuations that are at
historically high levels and
633
00:31:33,040 --> 00:31:35,400
there's still political pressure
because of jobs, because of
634
00:31:35,400 --> 00:31:39,320
whatever to cut interest rates.
And the rates right now are in
635
00:31:39,320 --> 00:31:41,080
the mid threes for the Fed funds
rate.
636
00:31:41,080 --> 00:31:44,680
The inflation rate's 3%, right.
So it's a half a percent real
637
00:31:44,680 --> 00:31:48,240
inflation adjusted interest rate
on the Fed funds rate right now.
638
00:31:48,880 --> 00:31:51,520
How what kind of sense does it
make to continue to push rates
639
00:31:51,520 --> 00:31:54,320
lower than half a percent in
terms of real rates when the
640
00:31:54,320 --> 00:31:57,480
economy is expanding?
I know, I know there's a job
641
00:31:57,480 --> 00:32:00,520
situation, but we have a full,
we have a 4.6% unemployment
642
00:32:00,520 --> 00:32:02,160
rate.
That's historically very low.
643
00:32:02,920 --> 00:32:05,200
So, but why, why?
So why is there still a push to
644
00:32:05,200 --> 00:32:07,280
cut rates?
Well, you know, there's
645
00:32:07,280 --> 00:32:09,720
political pressure to do it that
that comes up over and over
646
00:32:09,720 --> 00:32:11,360
again.
Politicians are pushing the Fed
647
00:32:11,360 --> 00:32:13,760
to lower interest rates when
they when they shouldn't.
648
00:32:15,080 --> 00:32:17,240
And maybe that's a short term
political gain, but the long
649
00:32:17,240 --> 00:32:20,960
term issue with that is then you
fuel valuations and you fuel the
650
00:32:21,160 --> 00:32:23,080
easy money, then fuels
destructive behavior.
651
00:32:23,200 --> 00:32:25,480
You know, that's that seems to
be, unfortunately a lesson we
652
00:32:25,480 --> 00:32:27,480
haven't been able to shake yet.
Yeah, money.
653
00:32:27,640 --> 00:32:32,080
Might be, I'm sorry, might need
to reform the Fed to do that.
654
00:32:32,240 --> 00:32:35,240
Yeah, Yeah.
Well, I don't know if adjusting
655
00:32:35,240 --> 00:32:38,200
interest rates are daily or
dynamically there would be, I
656
00:32:38,200 --> 00:32:40,320
think it would, might, might
create more chaos.
657
00:32:40,320 --> 00:32:43,360
There is a certain amount of
stability for predictability on
658
00:32:43,360 --> 00:32:46,960
cost of money and planning for
businesses to plan and and know
659
00:32:46,960 --> 00:32:49,600
what they can invest in,
particularly for infrastructure,
660
00:32:49,600 --> 00:32:52,400
but definitely not just 12
people in a room making a
661
00:32:52,600 --> 00:32:56,800
decision.
Right, you know the prime
662
00:32:56,800 --> 00:32:59,440
investment the rates for two
years get set by the market
663
00:32:59,440 --> 00:33:01,240
every day, right?
Like your your your your
664
00:33:01,240 --> 00:33:02,920
mortgage rate is cooked on the
10 year bond.
665
00:33:02,920 --> 00:33:06,120
The 10 year doesn't have a 12
men in a room or women in a room
666
00:33:06,120 --> 00:33:07,320
setting.
The price, the 10 year trades
667
00:33:07,320 --> 00:33:10,080
every day, rates go up, rates go
down and and people base
668
00:33:10,080 --> 00:33:12,320
mortgages and credit card debt
off of that.
669
00:33:12,320 --> 00:33:15,200
So there are market, there are
areas where the markets work and
670
00:33:15,200 --> 00:33:16,720
Mark, you know, work pretty
fluidly.
671
00:33:16,760 --> 00:33:19,160
And then the Fed, rather than
being the one that sets the
672
00:33:19,160 --> 00:33:22,040
price, just kind of comes in to
control things like, hey,
673
00:33:22,040 --> 00:33:25,200
there's a liquidity crisis here
or there's a there's a shock
674
00:33:25,200 --> 00:33:26,360
here.
We can, you know, we can
675
00:33:26,360 --> 00:33:27,720
counteract some of those big
moves.
676
00:33:27,760 --> 00:33:31,320
The monetary stabilizer is the,
is the term in economics, but we
677
00:33:31,320 --> 00:33:33,400
don't seem to, we have not
embraced that kind of a
678
00:33:33,400 --> 00:33:34,160
philosophy yet.
Sure.
679
00:33:35,680 --> 00:33:39,480
So let's jump jump in on the AI
bubble that it seems to be all
680
00:33:39,480 --> 00:33:43,040
in the news and in this stuff
like, so is there any historical
681
00:33:43,040 --> 00:33:46,040
bubble that what we're
experiencing with AI might
682
00:33:46,040 --> 00:33:47,760
resemble?
I would assume that it's
683
00:33:47,760 --> 00:33:50,400
productive because we are
solving a lot of problems, but
684
00:33:50,400 --> 00:33:52,160
there's also a lot of fluff out
there.
685
00:33:53,520 --> 00:33:55,280
I think there's a lot of froth
and excitement.
686
00:33:55,320 --> 00:33:57,280
Yeah.
I think on a high level, I'm not
687
00:33:57,280 --> 00:34:00,880
as concerned about the
valuations of AII.
688
00:34:00,880 --> 00:34:03,120
See we see in the private
markets a lot of companies that
689
00:34:03,120 --> 00:34:05,880
are getting AI type valuations
that are concerning like in the
690
00:34:05,880 --> 00:34:08,000
public markets.
If I just compare this to 1999
691
00:34:08,000 --> 00:34:10,800
for instance and the tech, the
last tech bubble which was the
692
00:34:11,239 --> 00:34:13,880
maybe the most recent example,
the company in the middle of
693
00:34:13,880 --> 00:34:16,480
everything right now is NVIDIA.
They are building most of their
694
00:34:16,480 --> 00:34:20,679
AI infrastructure with GPU's,
unlike the telecom boom.
695
00:34:20,760 --> 00:34:24,080
Every time they build AGPU and
roll it off their assembly line,
696
00:34:24,080 --> 00:34:26,719
so to speak, it lights up
because there's demand for it.
697
00:34:26,800 --> 00:34:29,480
And the demand is coming from
hyper scalers like Amazon and
698
00:34:29,480 --> 00:34:33,400
Apple and Meta and Microsoft.
Those are the four big customers
699
00:34:33,719 --> 00:34:35,960
and they need or they need that
technology today.
700
00:34:35,960 --> 00:34:37,199
So they're not.
They're not.
701
00:34:37,400 --> 00:34:40,960
We're not laying dark fiber like
we were in 1999 or building
702
00:34:41,880 --> 00:34:44,719
railways that don't get used for
50 years like the British did in
703
00:34:44,719 --> 00:34:47,800
the 1840s.
I guess that's one bit of good
704
00:34:47,800 --> 00:34:49,840
news.
And then NVIDIA is trading at 23
705
00:34:49,840 --> 00:34:52,560
to 25 times fully taxed earnings
next year.
706
00:34:53,000 --> 00:34:55,360
At the height of the.com boom,
the company in the middle of it
707
00:34:55,360 --> 00:34:57,200
all was Cisco.
They were the ones building the
708
00:34:57,200 --> 00:35:00,200
Internet and selling the routers
and switches to companies that
709
00:35:00,200 --> 00:35:04,000
would then the telecoms and
Cisco's at 200 times earnings.
710
00:35:04,000 --> 00:35:06,960
Cisco, IT was not a tremendously
profitable company.
711
00:35:06,960 --> 00:35:08,720
They did fine.
But in their in their biggest
712
00:35:08,720 --> 00:35:11,400
year, they made $3 billion in
profit in 2000.
713
00:35:12,160 --> 00:35:16,120
NVIDIA spent $112 billion buying
back stock over the past five
714
00:35:16,120 --> 00:35:17,960
years.
So they're profitable, free cash
715
00:35:17,960 --> 00:35:20,080
flow positive.
Their valuation is nowhere near
716
00:35:20,080 --> 00:35:23,640
where what we saw in 1999.
And their customers are the
717
00:35:23,720 --> 00:35:25,760
hyperscalers like those big
Internet companies, which are
718
00:35:25,760 --> 00:35:28,120
also profitable, free cash flow
positive, buying back stock or
719
00:35:28,120 --> 00:35:29,720
paying dividends.
That wasn't true.
720
00:35:29,720 --> 00:35:32,040
The telecoms back in the 90s,
they were, they were indebted
721
00:35:32,360 --> 00:35:34,600
and were not, you know, paying
back, buying back stock or
722
00:35:34,600 --> 00:35:36,840
paying dividends.
So I think this is a much more
723
00:35:36,840 --> 00:35:39,600
real technology revolution.
I'm sure there's going to be ups
724
00:35:39,600 --> 00:35:41,080
and downs.
I'm sure a lot of us will lose
725
00:35:41,080 --> 00:35:43,480
money on AI.
There might be another 20%
726
00:35:43,480 --> 00:35:45,800
drawdown in the market next year
because growth never happens in
727
00:35:45,800 --> 00:35:47,840
straight lines.
But I feel much better about
728
00:35:47,840 --> 00:35:49,880
where we're at, where we're at
now than, say, 99.
729
00:35:50,720 --> 00:35:53,200
Okay, good, good, good.
That's why I was going to, you
730
00:35:53,200 --> 00:35:55,720
know, follow up with that
because and the reason why you
731
00:35:55,720 --> 00:35:57,880
feel so have people learned a
lesson?
732
00:35:57,880 --> 00:36:01,080
Have the venture capitalist, the
money people learn the lessons
733
00:36:01,080 --> 00:36:05,800
and they're being more
discretionary to look to not buy
734
00:36:05,800 --> 00:36:09,200
it and and looking for real
business models, real problems
735
00:36:09,200 --> 00:36:14,840
being solved kind of a thing or
you know, is it how is this
736
00:36:14,880 --> 00:36:18,000
different than not?
Even I think I think so.
737
00:36:18,040 --> 00:36:24,160
So I would say 959697 felt to me
like some of this is my own
738
00:36:24,160 --> 00:36:26,440
memory of it and I was very
young back then.
739
00:36:26,440 --> 00:36:30,320
And so it'll be, it'll be a
imperfect recollection, but I've
740
00:36:30,320 --> 00:36:32,240
done research and followed
valuations as well.
741
00:36:32,560 --> 00:36:36,080
It seems like before the Amazon
IPO, there was a fair amount of
742
00:36:36,080 --> 00:36:38,360
discipline on the money being
invested in that.
743
00:36:38,960 --> 00:36:41,000
In that bubble, people were
looking at profits and cash
744
00:36:41,000 --> 00:36:43,600
flows and returns and reasonable
returns and how big can this
745
00:36:43,600 --> 00:36:45,960
market be and what are your
sales going to be in the next
746
00:36:45,960 --> 00:36:48,680
three to five years?
After Amazon went public, it did
747
00:36:48,680 --> 00:36:52,160
sort of change the tone and made
it a lot more optimistic.
748
00:36:52,520 --> 00:36:56,480
And what I see now looks feels a
lot more like 97 time that pre
749
00:36:56,480 --> 00:37:00,600
Amazon exuberance where there's
a lot of optimism, but there's a
750
00:37:00,600 --> 00:37:03,280
lot of there's a lot of
questions about what will this
751
00:37:03,280 --> 00:37:05,760
do to your business?
What is the return on AI spend?
752
00:37:06,040 --> 00:37:09,160
A lot of the money is coming
from these BIG4 hyper scalers.
753
00:37:09,360 --> 00:37:12,080
So it's profitable companies
which care with cash on their
754
00:37:12,080 --> 00:37:14,000
balance sheet, putting money
into it with equity.
755
00:37:14,760 --> 00:37:18,200
You get into 9899, you get like
smaller companies start-ups
756
00:37:18,240 --> 00:37:21,320
building a lot of the technology
that were then raising money.
757
00:37:21,320 --> 00:37:23,960
There were there telecoms were
doing it with debt, not equity.
758
00:37:24,440 --> 00:37:26,920
Those are all red flags,
dangerous signals that I don't
759
00:37:27,160 --> 00:37:28,840
see it yet.
Now some of the data centers
760
00:37:28,840 --> 00:37:31,440
that are being built now are
being debt financed, not equity
761
00:37:31,440 --> 00:37:34,040
financed.
So that's beginning to now we're
762
00:37:34,040 --> 00:37:36,760
beginning to verge into, OK,
that's a that's a yellow flag.
763
00:37:36,760 --> 00:37:39,880
Maybe there's the circularity is
now the big talk in the valley.
764
00:37:39,880 --> 00:37:40,920
It's good.
It's actually great that we're
765
00:37:40,920 --> 00:37:42,680
talking about it because it
shows that people are
766
00:37:42,880 --> 00:37:44,800
scrutinizing this stuff.
But there's a discussion about
767
00:37:44,800 --> 00:37:47,040
circularity like, hey, I'm going
to invest in you and you're
768
00:37:47,040 --> 00:37:48,960
going to invest in that company,
but they're your customers.
769
00:37:48,960 --> 00:37:51,920
It's a form of vendor financing.
If you didn't invest in them,
770
00:37:51,920 --> 00:37:54,000
could they really afford the the
bills they're going to pay?
771
00:37:54,000 --> 00:37:55,760
Like all the right questions
being asked.
772
00:37:56,160 --> 00:37:58,480
So I feel like the level of
scrutiny even now in the venture
773
00:37:58,480 --> 00:38:01,400
community with my, you know, my
colleagues, myself is still
774
00:38:01,880 --> 00:38:04,040
reasonably high despite, you
know, obviously a lot of
775
00:38:04,200 --> 00:38:06,080
optimism and a lot of
excitement, but I think still
776
00:38:06,080 --> 00:38:08,320
fairly disciplined right now.
OK, good.
777
00:38:08,320 --> 00:38:12,000
So discipline is one of those
fat, you know, a key element,
778
00:38:12,000 --> 00:38:14,240
right?
In some cases it's watching,
779
00:38:14,240 --> 00:38:16,560
some cases it's putting a
little, putting your toe in the
780
00:38:16,560 --> 00:38:19,400
water, seeing what happens and
then follow up with your full
781
00:38:19,400 --> 00:38:23,000
foot, so to speak, right.
So is there anything else as far
782
00:38:23,000 --> 00:38:26,320
as risk or timing that goes
along with that that investors
783
00:38:26,840 --> 00:38:29,520
should be and thinking about
when they're looking at a
784
00:38:29,520 --> 00:38:32,800
breakthrough new technology?
I mean, and as you know, because
785
00:38:32,800 --> 00:38:36,280
you've been around this a long
time and right in the mix, you
786
00:38:36,280 --> 00:38:39,240
know any technology that we
think is breakthrough now or the
787
00:38:39,240 --> 00:38:41,760
public thinks it's breakthrough
has been worked on and invested
788
00:38:41,760 --> 00:38:45,120
in for 20 plus years prior to
it, it becoming something that
789
00:38:45,480 --> 00:38:48,120
you know the everyday person
becomes aware of and uses,
790
00:38:48,600 --> 00:38:51,120
right.
So is there is there anything as
791
00:38:51,120 --> 00:38:54,400
far as that goes on, on those
factors risk, timing, discipline
792
00:38:54,520 --> 00:38:56,960
that investors should that you
would recommend investors
793
00:38:57,320 --> 00:38:59,480
consider?
Yes.
794
00:38:59,480 --> 00:39:03,600
Well, as a venture capitalist,
my partner especially is very
795
00:39:03,600 --> 00:39:06,160
good at this.
He's made over 2000 investments
796
00:39:06,160 --> 00:39:10,440
in seed and Series A stage
companies between he and I.
797
00:39:10,440 --> 00:39:13,000
We have a lot of experience, a
lot of, you know, a lot of
798
00:39:13,000 --> 00:39:14,480
training.
Now in terms of just doing the
799
00:39:14,480 --> 00:39:17,200
diligence, I think the biggest
thing that I've been that I push
800
00:39:17,200 --> 00:39:20,200
with our investments and our
founders is the technology that
801
00:39:20,200 --> 00:39:23,480
you're building.
As great as it is, what problem
802
00:39:23,480 --> 00:39:25,800
is it solving?
And when that when that problem
803
00:39:25,800 --> 00:39:29,120
gets solved, how do you how do
you make money doing that?
804
00:39:29,520 --> 00:39:33,280
And if and if and surprisingly 4
to 5 founders really struggle
805
00:39:33,560 --> 00:39:35,360
with that answer, which is that
hey, what problem are you
806
00:39:35,360 --> 00:39:38,320
solving answer.
I think we did have a recent
807
00:39:38,640 --> 00:39:43,400
experience in Twitter in
21/20/2021 and I never got a
808
00:39:43,400 --> 00:39:45,600
straight answer to that question
for one of the big asset classes
809
00:39:45,600 --> 00:39:49,480
that that got created and then
dissipated but still around
810
00:39:50,160 --> 00:39:52,200
crypto.
A lot of people were pitching
811
00:39:52,200 --> 00:39:55,160
web 3 dot O decentralized
finance, crypto, altcoin
812
00:39:55,440 --> 00:39:58,440
wallets, Bitcoin.
And I kept asking, what problem?
813
00:39:58,600 --> 00:40:00,320
Why do we need?
Why do we need Bitcoin?
814
00:40:00,320 --> 00:40:02,720
What problem are you solving?
If the technology didn't exist
815
00:40:02,720 --> 00:40:04,920
tomorrow, what you know, what
would be different?
816
00:40:04,920 --> 00:40:07,920
And I never got a good answer
from a founder about why the
817
00:40:07,920 --> 00:40:11,040
world needs crypto.
And so we never, we never really
818
00:40:11,040 --> 00:40:12,840
invested in it.
And some people did great in
819
00:40:12,840 --> 00:40:15,160
that space.
But that is a very speculative
820
00:40:15,160 --> 00:40:17,640
technology that I think is going
to be much more challenged.
821
00:40:17,800 --> 00:40:20,680
AI is the and the answers are a
lot more clear now about AI than
822
00:40:20,680 --> 00:40:21,920
they were, you know, a few years
ago.
823
00:40:21,920 --> 00:40:24,200
And I think they're very
generally very good about what
824
00:40:24,200 --> 00:40:27,680
problem they're solving.
Well, OK, to on the to me, and
825
00:40:27,680 --> 00:40:32,360
this is AI guess AI don't know.
I don't think I'm trying to look
826
00:40:32,360 --> 00:40:35,440
for the right word, but one of
the things that I have tried to
827
00:40:35,440 --> 00:40:39,360
steer people in their
conversation is to separate
828
00:40:39,600 --> 00:40:43,080
blockchain from crypto and
crypto being an app on
829
00:40:43,120 --> 00:40:45,880
blockchain, A solute, you know,
one solution.
830
00:40:45,880 --> 00:40:48,720
But when you get to, I really
would like to see a lot more
831
00:40:48,720 --> 00:40:52,280
done on blockchain in the supply
chain, right?
832
00:40:52,520 --> 00:40:57,440
Or even when you get into the
validation of assets using, you
833
00:40:57,440 --> 00:41:00,640
know, NFT type of concept on the
blockchain.
834
00:41:01,080 --> 00:41:04,120
There's, you know, goofy stuff
that people like verifying, you
835
00:41:04,120 --> 00:41:06,120
know, bourbon or something like
that.
836
00:41:06,120 --> 00:41:10,600
But there's real, there's real
need for it when it comes to,
837
00:41:11,040 --> 00:41:14,080
you know, what is being brought
into the country.
838
00:41:14,080 --> 00:41:16,320
Is it really what it says it is,
right?
839
00:41:16,320 --> 00:41:18,960
Things like that, some of our
supply chain, human trafficking
840
00:41:18,960 --> 00:41:21,160
solving.
So a lot of that stuff of what's
841
00:41:21,160 --> 00:41:24,480
on the manifest and is it really
what's in the container that
842
00:41:24,480 --> 00:41:27,560
blockchain can solve that.
I don't real, I don't see people
843
00:41:27,560 --> 00:41:30,560
moving towards that.
And even smart contracts or, or
844
00:41:30,560 --> 00:41:33,400
like we have natural, natural
disasters.
845
00:41:33,400 --> 00:41:36,400
We've gotten better since
Katrina, but it's like, you
846
00:41:36,400 --> 00:41:42,000
know, entire entire history of,
of who owned what or anything
847
00:41:42,000 --> 00:41:44,080
can be wiped out in a natural
disaster.
848
00:41:44,080 --> 00:41:46,280
If we had it on the blockchain,
it would be protected.
849
00:41:47,600 --> 00:41:49,840
Yes, I think in Weller
circulated like what can
850
00:41:49,840 --> 00:41:52,000
blockchain be used for?
So if you were building a
851
00:41:52,000 --> 00:41:55,160
blockchain startup and he said,
look, I'm going to record land
852
00:41:55,160 --> 00:41:58,840
that's been owned in California
on a decentralized Ledger that
853
00:41:58,840 --> 00:42:01,240
cannot be wiped out or destroyed
in a fire.
854
00:42:01,280 --> 00:42:03,560
And if I want to look it up
because I'm trying to sell you a
855
00:42:03,560 --> 00:42:06,040
piece of land and you want to
know that I own it, we can look
856
00:42:06,040 --> 00:42:07,720
it up right now on a on a
blockchain.
857
00:42:07,720 --> 00:42:10,520
You don't have to go to the
registrar, the county records in
858
00:42:10,520 --> 00:42:11,800
Sacramento and look up the
thing.
859
00:42:11,800 --> 00:42:14,440
And then, you know, God forbid
it's a Sunday and it's closed.
860
00:42:14,440 --> 00:42:16,240
You can't get in until the
Monday morning and it's a
861
00:42:16,240 --> 00:42:18,000
holiday.
Like you can look the stuff up
862
00:42:18,000 --> 00:42:20,760
in real time and validate
ownership, validate assets,
863
00:42:20,760 --> 00:42:24,000
validate things like identity.
Who knows, maybe even voting one
864
00:42:24,000 --> 00:42:25,480
day that that kind of scares me.
But.
865
00:42:26,080 --> 00:42:29,040
That would be.
Nice, but those are all good
866
00:42:29,040 --> 00:42:30,800
ideas.
The hard part is, you know, if
867
00:42:30,800 --> 00:42:35,400
my mom asks me why do I why do
you own Bitcoin or why do you
868
00:42:35,400 --> 00:42:36,920
know why do you own the
Dogecoin?
869
00:42:37,240 --> 00:42:38,840
Like what good is it?
You can't spend it.
870
00:42:38,840 --> 00:42:41,160
It's not a medium of change.
I can't use it to buy Starbucks.
871
00:42:41,360 --> 00:42:43,480
Why do I need this thing again?
Like if I struggled with that
872
00:42:43,480 --> 00:42:46,440
answer, I think that's a real
problem for any for any
873
00:42:46,440 --> 00:42:48,560
entrepreneur.
So my lesson to entrepreneurs,
874
00:42:48,560 --> 00:42:50,800
discovered the problem and the
solution and then tell me about
875
00:42:50,800 --> 00:42:52,000
the technology and how cool it
is.
876
00:42:52,000 --> 00:42:53,640
But always go back to your
customer, your problem or
877
00:42:53,640 --> 00:42:55,720
solution.
Yeah, absolutely.
878
00:42:55,720 --> 00:42:58,920
And at the end, the buying and
selling of it, everything about
879
00:42:58,920 --> 00:43:04,520
it is created an industry that
just there's a lot of issues it
880
00:43:04,560 --> 00:43:08,440
comes to crypto and all of the
things that how it's how the
881
00:43:08,680 --> 00:43:11,720
impact it has, the environmental
impact, just all kinds of stuff
882
00:43:11,720 --> 00:43:14,520
on on that.
So anyway, let's get back into.
883
00:43:14,720 --> 00:43:18,560
So you know, I I want to tell
folks too, because, you know,
884
00:43:18,560 --> 00:43:20,560
it's fascinating.
You can learn more about you
885
00:43:20,560 --> 00:43:24,800
also at your website, which is
Aman Virgie that's spelled AM
886
00:43:24,920 --> 00:43:32,440
ANVERJ EE, and we've covered a
lot of ground on your book on
887
00:43:32,440 --> 00:43:36,320
all and the different you know,
what factors are that are that
888
00:43:36,320 --> 00:43:39,280
you that we're, you know,
different factors that lead into
889
00:43:39,280 --> 00:43:40,440
a bubble.
And I think you pretty much
890
00:43:40,440 --> 00:43:44,080
establish that you don't really
see us in an AI bubble, even
891
00:43:44,080 --> 00:43:47,000
though the press keeps keeps
talking about that.
892
00:43:47,240 --> 00:43:51,000
Is there Is there anything else
that you want to share that we
893
00:43:51,000 --> 00:43:53,320
may not have covered at this
point in time?
894
00:43:53,320 --> 00:43:56,280
That's anticipating from
entrepreneurs and investors?
895
00:43:56,360 --> 00:44:00,080
You know, we have this phrase
that in the eco entrepreneurs is
896
00:44:00,080 --> 00:44:04,400
like skate to the puck.
So is there a puck that you
897
00:44:04,400 --> 00:44:07,880
could see people to skate to
that would get them to the other
898
00:44:07,880 --> 00:44:10,920
side or get them into something
before a bubble happens or
899
00:44:11,000 --> 00:44:13,320
speculate that way?
Yeah, I think if you're that's a
900
00:44:13,320 --> 00:44:17,440
Wayne Gretzky quote, the the
puck, which I, I'm a big sports
901
00:44:17,440 --> 00:44:19,800
fan and a hockey player and, and
love that.
902
00:44:19,800 --> 00:44:23,760
I think it's very easy to see
that AI is it's here to stay.
903
00:44:23,760 --> 00:44:25,880
It's going to transform
virtually every industry.
904
00:44:25,880 --> 00:44:29,960
There are great businesses that
will be built and destroyed as a
905
00:44:29,960 --> 00:44:33,000
result of it.
With the thing that does happen
906
00:44:33,000 --> 00:44:35,960
when you get these investment
cycles and the hype cycles, I
907
00:44:35,960 --> 00:44:37,960
wouldn't quite call this a
bubble for the reasons I said.
908
00:44:37,960 --> 00:44:40,200
But let's let's concede there's
a lot of money going in and a
909
00:44:40,200 --> 00:44:42,720
lot of excitement.
And what tends to happen is you
910
00:44:42,720 --> 00:44:45,160
get easy money.
It's not necessarily true. the
911
00:44:45,160 --> 00:44:46,840
Fed doesn't have to cut rates to
0%.
912
00:44:46,840 --> 00:44:49,200
We don't have to, we don't have
to go back, you know, to another
913
00:44:49,200 --> 00:44:52,280
infusion of capital for just
money to to be ready and
914
00:44:52,280 --> 00:44:54,760
available to entrepreneurs who
want to fix the technology.
915
00:44:55,520 --> 00:44:57,800
The question then is what
happens when that money rolls
916
00:44:57,800 --> 00:45:00,320
back out and if the business
you're looking at or investing
917
00:45:00,320 --> 00:45:03,080
in needs to continue to raise
money to higher and higher
918
00:45:03,080 --> 00:45:05,760
valuations in order to feed a
product or business cycle for
919
00:45:05,760 --> 00:45:08,440
more than like a year.
To me, that's like a big red
920
00:45:08,440 --> 00:45:10,040
flag.
That's just generally, if we saw
921
00:45:10,080 --> 00:45:13,040
this in 20/20/21, a lot of
companies raised money and had
922
00:45:13,360 --> 00:45:16,000
enough runway to kind of get to
the next financing, but couldn't
923
00:45:16,000 --> 00:45:18,040
quite turn the corner and become
profitable.
924
00:45:18,040 --> 00:45:21,000
And then when the money dried
up, they all kind of went by the
925
00:45:21,000 --> 00:45:22,720
wayside and some of them went
out.
926
00:45:22,720 --> 00:45:25,240
Some of them are just illiquid
now and are are don't really
927
00:45:25,240 --> 00:45:27,920
have a clear exit plan.
So the thing that I just would
928
00:45:27,920 --> 00:45:31,240
always remind investors is just
pretend the money went away.
929
00:45:31,480 --> 00:45:33,200
Do you have a path to
profitability or at least
930
00:45:33,280 --> 00:45:35,360
self-sustaining a
self-sustaining cycle?
931
00:45:35,800 --> 00:45:37,840
And if you're, if you're, if you
have a real problem, you're
932
00:45:37,840 --> 00:45:40,520
solving with the real technology
and can get to a point where
933
00:45:40,720 --> 00:45:44,880
you're not sucking in money as a
result of the beneficiency of
934
00:45:44,880 --> 00:45:47,360
investors, which comes and goes,
right?
935
00:45:47,360 --> 00:45:50,000
Investors get very excited and
the kind of moves are heard.
936
00:45:50,760 --> 00:45:53,480
My industry does that and then
they get very unexcited and they
937
00:45:53,480 --> 00:45:55,720
move out as a herd.
And we've seen great
938
00:45:55,760 --> 00:45:59,120
technologies, whether it's
fintech, whether it's SAS, even
939
00:45:59,120 --> 00:46:01,760
crypto for a while.
The money comes, the money goes
940
00:46:01,760 --> 00:46:03,840
and then then we know what do
you do as an entrepreneur?
941
00:46:04,320 --> 00:46:06,560
So that's the thing we always
going to work on in the business
942
00:46:06,560 --> 00:46:07,520
plans.
It's how do you get this thing
943
00:46:07,520 --> 00:46:09,400
to, to break even?
How do you get it to that when
944
00:46:09,400 --> 00:46:12,240
the money goes away, which it
will during the next five years,
945
00:46:12,240 --> 00:46:14,920
whether it's next year or 2029,
I don't know.
946
00:46:14,920 --> 00:46:17,320
I don't predict.
My crystal ball doesn't doesn't
947
00:46:17,320 --> 00:46:20,320
have that precision filter on
it, but it happens.
948
00:46:20,320 --> 00:46:22,200
What are you going to do then?
And that's the only thing I'll
949
00:46:22,200 --> 00:46:24,960
leave you with.
Yeah, absolutely.
950
00:46:24,960 --> 00:46:29,600
And it's, I think it's really
healthy for the money investors
951
00:46:29,600 --> 00:46:33,640
out there, wherever they are in
the capital stack to ask that
952
00:46:33,640 --> 00:46:37,320
question as part of their own
filter system when they're
953
00:46:37,320 --> 00:46:39,800
looking at investment.
You know, one of the biggest,
954
00:46:40,000 --> 00:46:43,280
you know, I talk about it in my
2 books, you know, and on the
955
00:46:43,320 --> 00:46:46,240
podcast with other people and on
the other content I created is
956
00:46:46,240 --> 00:46:50,080
that, you know, investing on
emotion is one of the kiss
957
00:46:50,080 --> 00:46:53,520
deaths of, you know, making a
private and particularly a
958
00:46:53,520 --> 00:46:55,560
private investment.
It always has to be what is the
959
00:46:55,560 --> 00:46:58,120
problem that a company is
solving and do they know how
960
00:46:58,120 --> 00:47:01,440
they're going to make money?
And even if it slows down,
961
00:47:01,440 --> 00:47:04,360
they're making money because
they don't have X outside
962
00:47:04,360 --> 00:47:06,880
capital to accelerate the
process of getting, you know,
963
00:47:06,880 --> 00:47:10,040
getting customers or things like
that, they still know how to
964
00:47:10,040 --> 00:47:13,440
make money on it, right?
That is to me fundamentally
965
00:47:13,440 --> 00:47:15,120
core.
And for the mistakes get made
966
00:47:15,120 --> 00:47:19,920
when we let a a motion, the
subjective criteria or the
967
00:47:19,920 --> 00:47:24,400
charisma of a of a founder
outweigh the objective.
968
00:47:24,600 --> 00:47:27,480
You know sensible things of you
know, what is the value
969
00:47:27,480 --> 00:47:29,400
proposition and how do they put
money in the bank?
970
00:47:29,480 --> 00:47:32,440
That's very well said, yeah.
So all right, thank you
971
00:47:32,680 --> 00:47:35,480
everybody for tuning in to
listen to the Compassionate
972
00:47:35,480 --> 00:47:40,080
Capitalist show again.
Go get the book Big bubble.
973
00:47:40,080 --> 00:47:45,080
Trouble is the the website and
the book is why don't you say?
974
00:47:45,080 --> 00:47:46,800
Because I'm scrolling to get all
the words right.
975
00:47:47,600 --> 00:47:50,640
Yes, it's called A Brief History
of Financial Bubbles.
976
00:47:50,920 --> 00:47:53,200
You can get that at
bigbubbletrouble.com.
977
00:47:53,200 --> 00:47:55,240
Get your pre-orders now.
It should come out in late
978
00:47:55,240 --> 00:47:57,320
January, maybe early February.
I'm coming back and forth with
979
00:47:57,320 --> 00:48:01,240
the editors now and getting all
getting it all done and unlike
980
00:48:01,240 --> 00:48:03,360
you haven't, like haven't
written books and print them
981
00:48:03,360 --> 00:48:05,120
out.
So I'm now appreciating how long
982
00:48:05,200 --> 00:48:08,520
it takes to get from the 98 yard
line into the end zone.
983
00:48:08,520 --> 00:48:11,000
But we're I feel like we're on
the 98 yard line somehow.
984
00:48:11,000 --> 00:48:12,120
This is going to take a few.
It might.
985
00:48:12,160 --> 00:48:13,960
It might be February before the
book hits the shelves.
986
00:48:14,440 --> 00:48:17,280
And then then when it's out,
they'll be able to get it on all
987
00:48:17,280 --> 00:48:20,720
the places that you normally get
books, all your different book.
988
00:48:20,760 --> 00:48:23,800
It'll be, you know, bookstores
as well as, you know, Amazon and
989
00:48:23,800 --> 00:48:25,760
all that stuff, right?
That's right.
990
00:48:25,800 --> 00:48:28,600
That's correct.
Okay, great and if you've
991
00:48:28,600 --> 00:48:33,080
enjoyed this show, listeners,
please, please go and you know,
992
00:48:33,080 --> 00:48:35,560
give us a ring, give them a 5
give us a five star throw a
993
00:48:35,560 --> 00:48:38,320
comment.
The simplest thing is just a
994
00:48:38,440 --> 00:48:41,600
thumbs up or whatever is on your
particular platform that you're
995
00:48:41,600 --> 00:48:45,160
listening to because you cannot
imagine how important that is
996
00:48:45,160 --> 00:48:49,920
for other people to find This
show is that the the platforms
997
00:48:50,000 --> 00:48:52,960
recognize that somebody else
listened to it and liked it.
998
00:48:52,960 --> 00:48:55,520
So it's really is really
important to do that.
999
00:48:55,520 --> 00:48:57,720
So thank you very much in
advance for doing that.
1000
00:48:58,000 --> 00:49:01,360
Onwards and upwards and and have
a great day.
1001
00:49:01,520 --> 00:49:04,760
Thank you.
Thank you for listening to this
1002
00:49:04,760 --> 00:49:07,640
podcast, The Compassionate
Capitalist Show, brought to you
1003
00:49:07,640 --> 00:49:12,680
by Cougar and Capital Holdings
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1004
00:49:15,120 --> 00:49:19,160
You are encouraged to visit the
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1005
00:49:19,160 --> 00:49:23,600
more about how Karen and her
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1006
00:49:23,600 --> 00:49:27,520
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00:49:27,920 --> 00:49:31,360
And how the Kugarand Capital
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1008
00:49:31,640 --> 00:49:35,160
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1009
00:49:35,160 --> 00:49:37,560
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1010
00:49:37,560 --> 00:49:41,960
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1011
00:49:42,400 --> 00:49:46,360
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00:49:59,320 --> 00:50:03,720
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1018
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1020
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1021
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1022
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1023
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1025
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1026
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1027
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1029
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