HomeVideos

Legendary Investor Outlines His AI Thesis in 14 Minutes — Bill Gurley

Now Playing

Legendary Investor Outlines His AI Thesis in 14 Minutes — Bill Gurley

Transcript

370 segments

0:00

AI bubble or not? [laughter]

0:03

[snorts]

0:04

And if so, what does that mean?

0:06

>> Yeah. So, I think this is super

0:08

interesting. My my partner Peter

0:10

reminded me of a book that we had seen a

0:13

a while ago by Carla Perez. It has

0:15

[clears throat] this very benign title,

0:17

Technological Revolutions and Financial

0:20

Capital. It was written in like 2002.

0:23

And what Perez

0:25

kind of simplifies and notices, which I

0:28

just find perfect for trying to

0:30

understand whether there's a bubble or

0:32

not, is that every time there's been a

0:35

technology wave that leads to wealth

0:38

creation, especially fast wealth

0:40

creation, that will inherently invite

0:44

speculators, carpet baggers, interlopers

0:47

that want to come take advantage of it.

0:49

think of the gold rush, you know, and so

0:52

people want to make it a debate. Do you

0:54

believe in AI or is it a bubble? And if

0:55

you say you think it's a bubble, they

0:57

say, "Oh, you don't believe in AI." Like

0:59

this gotcha kind of thing. And if you

1:01

study Perez, and I I think this is

1:03

absolutely correct. If the wave is real,

1:07

then you're going to have bubble-like

1:08

behavior. like they come together as a

1:11

pair precisely because anytime there's

1:16

very quick wealth creation, you're going

1:19

to get a lot of people that want to come

1:21

try and take advantage of that or

1:23

participate in it. So, you get a flood

1:25

of those types of people coming at it.

1:28

And so, it's odd. There's a real

1:30

technology wave that's that's

1:32

fundamentally changing the world and

1:34

there's also massive speculation

1:37

simultaneous. Yeah, they come as a pair.

1:40

I recall not too long ago, maybe two

1:42

weeks ago, saw a short interview with

1:47

your friend Jeff Bezos and he

1:50

distinguished between financial bubbles

1:53

and industrial bubbles and cited and I'm

1:57

paraphrasing here, but 2008 as an

1:59

example of a bad bubble, right?

2:01

financial bubble versus let's just say

2:03

the early 2000s like 99 98 99 2000 where

2:09

a lot of very important technology was

2:13

created that then was durable after the

2:17

fact and created new generations of

2:19

entrepreneurs and a lot of economic

2:21

growth and he believes that AI would

2:24

fall into the industrial bubble category

2:26

of things. But I suppose given that the

2:29

dancing pair you described come

2:31

together, how would you [clears throat]

2:33

think about investing in private

2:35

companies, modern venture capital at

2:38

this point in time? And just I suppose

2:41

as it's changed since you were most

2:44

active,

2:45

>> a quick comment on that industrial

2:46

bubble thing. You know, one thing that

2:48

is surprising to me is that [snorts]

2:51

even though I fundamentally believe this

2:53

is an important real technology wave,

2:56

the big players, even the Max 7 have all

3:00

decided to do things from a deal

3:02

perspective. You've read about these

3:04

circular deals and whatnot.

3:06

>> Could you explain what you mean by that?

3:07

>> Yeah. I mean, there's a lot of talk out

3:09

there, but it all started when Microsoft

3:11

invested in OpenAI, OpenAI agreed to buy

3:15

services from Microsoft. Yeah.

3:16

>> Which is called a circular deal because

3:19

you're giving them money they wouldn't

3:21

have otherwise.

3:22

>> And when Daario was on stage at Dealbook

3:25

last week, he said, "Oh, I can explain

3:27

this. It's not that hard. Amazon wanted

3:29

us to spend money we didn't have, so

3:31

they gave us even more money." And I'm

3:33

like, well, that's precisely why this is

3:35

a questionable behavior. But it's gotten

3:38

bigger. You know, Nvidia's handing out

3:39

money, and then Nvidia gave Coree money,

3:42

but then also agreed to buy any services

3:44

they have left over. this stuff's not

3:47

ideal. Like if you were to say,

3:48

[clears throat] "What's crisp, clean

3:50

accounting?" You know, you wouldn't do

3:52

these kind of things. And some of them

3:53

say, "Well, it's not material." And

3:55

which I would say, "Well, then why are

3:57

you doing it?" I've asked other people

3:58

to try and understand how even big

4:01

sophisticated companies might get

4:04

speculative using a word from the

4:06

previous discussion. And I hear things

4:09

like, well, you know, loss aversion

4:11

tends to go down when you're winning.

4:13

Like if you're on a hot streak in a

4:15

casino, you take more risk. Things like

4:18

that. But it is surprising to me. When

4:20

it comes to retail investors, I mean, I

4:22

would be particularly

4:25

concerned for them at this stage in the

4:28

AI game because there is a plethora of

4:33

SPV vehicles. You've heard that phrase,

4:35

I'm sure, SPV. This [clears throat] is

4:37

where someone has an in on an investment

4:40

and they do a oneoff VC fund if you will

4:44

>> special purpose vehicle.

4:45

>> Yeah. It's a single entity just for that

4:47

>> to invest in X. We have an allocation of

4:49

however much money and then they can

4:51

allow sort of Jane Doe and John Doe

4:55

potentially

4:55

>> and they take a rake on it and there's

4:57

people promoting SPVS in situations

4:59

where they don't even actually have the

5:01

underlying stock or maybe they hope to

5:03

get it. It's the wild wild west and most

5:07

of the people on that edge I would put

5:10

in the category of interloper carpet

5:12

bagger these are people that have come

5:14

to this thing and I just think you got

5:15

to be quite careful the the investments

5:19

that were made that have already had

5:22

100x plus returns were made a while ago

5:25

you know before this thing started

5:28

>> and that's not to say there won't be an

5:30

incremental AI investment that makes

5:32

money I think there But your odds right

5:34

now of of that being the case are really

5:37

really low.

5:38

>> Yeah, I would add to that and say, and

5:41

this this applies to me as much as

5:43

anyone else, but your actual risk

5:45

tolerance

5:46

may differ probably does differ

5:48

significantly from your your perceived

5:51

risk tolerance if you haven't had a huge

5:53

draw down, right? If you haven't

5:55

actually ridden a few of those waves and

5:57

see how you respond in those

5:58

circumstances.

6:00

And you should be, I suppose, skeptical

6:03

of how you view your own intestinal

6:06

fortitude with some of those things or

6:07

maybe the losses you can absorb because

6:09

I recall, for instance, I've seen this

6:11

many, many times, but with these types

6:13

of SPVS, people get involved and let's

6:15

just say they're not typically an angel

6:17

investor, they don't have the experience

6:20

of watching 60, 70, 80% of their

6:23

investments go to zero or become the

6:25

walking dead. and they sign off on all

6:29

of the not necessarily waivers, but they

6:31

accept accept accept on like the SPV

6:34

terms of service, which all say you

6:35

could lose all of your investment. This

6:37

is incredibly risky.

6:38

>> Yeah.

6:39

>> But then when it does go to zero, you

6:41

know, the financial and psychological

6:42

impact is catastrophic.

6:45

>> There's a lot there's a lot of people,

6:47

and I think this comes from a very good

6:49

place. I think they're very

6:50

well-intentioned who look at the world

6:53

and say, you know, well, first of all,

6:56

you know, rising inequality, like why

6:59

can't everyone have access to the same

7:01

things? And and then companies are

7:04

staying private longer. So they say we

7:06

need to institutionalize

7:08

the generic public's ability to invest

7:10

in private companies. And the problem, I

7:14

think there's two problems. one you just

7:15

hinted at which is most private company

7:19

VC backed even go to zero like the

7:22

majority which is not something people

7:25

really they sense that they want the

7:27

lottery ticket they want the the Uber

7:29

they want the one that goes to the moon

7:32

>> but they don't understand that that

7:34

comes along with it

7:35

>> they don't want to buy losing lottery

7:36

tickets for 12 years

7:38

>> right exactly and the second problem is

7:40

the information transparency in the

7:43

private company game is just low. And I

7:47

think the institutional investors have

7:49

come to understand that and kind of know

7:51

what they're getting into and know how

7:53

to evaluate things. But if you come at

7:55

it with a public market mindset

7:57

thinking, oh, every set of financials

8:00

I've been handed is is audited and is

8:02

correct and like that's just not the

8:04

case. It's it's super loosey goosey. So,

8:08

if you were, this may be a difficult

8:10

question, but if you were angel

8:11

investing

8:13

right now, how would you be thinking

8:15

about your approach?

8:17

>> I'll tell you a funny story. When I

8:19

decided to hang up my gloves, if you

8:21

will, and stop making institutional

8:23

venture capital investments, I had a

8:25

whole bunch of ideas about what I wanted

8:27

to do next. And one of them was, oh,

8:29

I'll do a bunch of angel investing. You

8:31

know, Bezos did it on the side. You

8:33

know, this would be fantastic.

8:34

>> He did pretty well with his angel

8:35

investing. I was explaining this to a I

8:38

won't say who it is but a a Silicon

8:40

Valley CEO very successful and he said

8:44

what are you going to do now? I said I

8:46

was thinking of doing angel investing.

8:47

He goes why would you do that?

8:49

[laughter]

8:50

He said I got 50 of these things. People

8:53

don't return my calls. He goes I

8:55

[clears throat] wish I'd never done it.

8:56

[laughter]

8:57

So there is a unglamorous side to it as

9:00

much as there is a glamorous side. And

9:02

you've participated in this world

9:04

before. What would I say? I think if I

9:06

were doing angel investments, I'd try

9:09

and find an intersection of people that

9:11

are super curious and are playing with

9:14

all these AI tools, but bring a

9:17

perspective from a particular industry

9:19

that gives them an advantage in that

9:21

area where they could simultaneously be

9:24

maybe the smartest user of AI in their

9:29

genre, in their vertical. So despite the

9:33

or maybe because of because we talked

9:36

about the pair

9:38

the AI bubble, you would still be

9:40

looking at AI intersected opportunities

9:42

if you were angel investing.

9:44

>> Yeah, there's a weird reality out there

9:45

right now and this could end if ever a

9:48

bubble has popped or whatever, but the

9:50

institutional investors have zero

9:53

interest in non AI deals.

9:55

>> Mhm.

9:56

>> Zero. It's more black and white than I

9:58

could be successful in

10:00

>> for people who do not know the term.

10:01

Define the institutional investor.

10:03

>> People who are paid both a a salary and

10:08

a piece of the return to be active

10:11

investors of other people's money using

10:14

other people's money. But the reason

10:15

that kind of matters is if you angel

10:19

fund a deal and have any hope of it

10:21

raising money in the future, if it's not

10:24

AI related right now,

10:26

>> could die of neglect.

10:27

>> There is no interest. I can't state

10:30

clearly enough how there's zero in and I

10:33

could I could [snorts] simultaneously

10:35

make fun of that reality, but I could

10:38

also justify that reality, but it is the

10:41

reality right now. And by the way, while

10:43

I mention that, I feel obligated for

10:45

your audience. Like, I don't care what

10:47

field you're in, you should be playing

10:48

with this stuff.

10:50

>> Like, it has the potential to impact

10:53

your role in your career. And the best

10:56

way to protect against any risk of your

11:00

career being obuscated or eliminated

11:02

from AI is to be the most AI enabled

11:06

version of yourself you can possibly be.

11:09

How would you think about maybe you can

11:11

give a hypothetical example of looking

11:13

for someone who has very very

11:16

sophisticated domain expertise

11:19

and experience who's now intersecting

11:22

with AI and has a unique because of the

11:26

combination perspective on things to

11:27

invest in as an angel investor separate

11:30

that from something that's just going to

11:32

be consumed by the fundamental the kind

11:35

of fundamental models and these larger

11:36

companies

11:37

>> from a career perspective. perspective

11:38

or

11:39

>> from an angel investment perspective,

11:41

how would you pick folks you don't think

11:43

are just going to end up working on

11:45

something that gets replicated in short

11:47

order by the bigger companies?

11:48

>> The key is just to stay pretty far away

11:52

from the edge of whatever. I mean, you

11:55

can go online and see interviews with

11:57

people at Anthropic or OpenAI and what

11:59

they're working on. Like, if it's the

12:01

next thing they're going to do,

12:03

>> I don't think you're going to be

12:04

protected. But as I think about, you

12:07

know, founders and angel investors,

12:10

you're talking about a pretty broad

12:12

array of things at this point. As I

12:14

mentioned earlier, you're not going to

12:16

back the next big model company.

12:18

Besides, if if you were, you need a

12:20

billion dollar angel investment to go

12:23

make that happen. Like, it's just really

12:25

the game's changed. There's so much

12:27

money involved. I think you're going to

12:29

want to be off the beaten path anyway.

12:31

When I think about these deeper

12:32

verticals, I don't think it will make

12:34

sense for open AI to go crush every

12:39

little vertical

12:40

>> waste management.

12:41

>> And even if the model's capable of

12:44

understanding that subject matter, there

12:46

are workflows, there are data sets that

12:49

are local to your customer and that

12:53

stuff has to be stitched together. Mhm.

12:55

>> So I think having an understanding of a

12:58

particular industry and and one that's

13:00

not going to be on the next thing to do

13:02

list at OpenAI would probably be your

13:05

best bet.

13:06

>> Got it. So is it fair to say if I'm

13:08

understanding you correctly that

13:09

effectively looking for something that

13:11

would not be a high priority for one of

13:12

these larger companies and also a

13:14

proprietary data set of some type?

13:16

proprietary data sets. The more kind of

13:19

workflows that exist are are better

13:22

because you can build software around

13:24

those things.

13:24

>> What is a workflow?

13:26

>> The thing that popped in my head, I'm on

13:27

the board of Zillow. You know, Zillow's

13:29

been investing for the past 5 years in

13:31

tools that help the realtor do their

13:34

day-to-day job.

13:35

>> Mhm.

13:36

>> They have a tool called Showing Time

13:38

that helps you book inerson tours at

13:41

houses, as an example. But there's

13:44

putting the mortgage together, getting

13:45

the sign offs on, like there's just all

13:48

these tasks that have to be happen that

13:50

can be automated.

13:52

>> Tasks that can be automated that can be

13:54

integrated with AI. The more of that

13:56

stuff you can build into a system, the

14:00

better off you're going to be protecting

14:01

yourself from a model that just answers

14:04

questions, right? Which is why which is

14:06

why I brought it up.

Interactive Summary

The discussion revolves around the potential AI bubble, drawing parallels to historical technological revolutions and financial speculation. It's argued that bubble-like behavior is a natural consequence of rapid wealth creation, with speculation often accompanying genuine technological advancement. The conversation then shifts to investment strategies, particularly in private companies and venture capital, highlighting the current market's strong focus on AI deals. Concerns are raised about speculative investment vehicles like Special Purpose Vehicles (SPVs), especially for retail investors who may not fully grasp the risks involved. The advice for angel investors is to focus on opportunities that intersect AI with deep, specific industry expertise, proprietary data, and unique workflows, rather than competing directly with large AI model companies. The importance of understanding one's own risk tolerance is also emphasized, especially when investing in high-risk ventures.

Suggested questions

6 ready-made prompts