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Report
Future of Finance 2024: BlackRock and the Future of Finance
Fortune
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1 year ago
Robert Goldstein, Senior Managing Director and Chief Operating Officer; Member, Global Executive Committee; Co-chair, Global Operating Committee, BlackRock Moderator: Lee Clifford, Executive Editor, Enterprise, Fortune
Category
🤖
Tech
Transcript
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00:00
Good morning, everyone.
00:02
All right, Rob.
00:03
You made it here in the nick of time.
00:04
Braved some awful traffic.
00:06
Let's dive right in.
00:07
OK.
00:08
A little traffic is good.
00:09
It shows the city is sort of back.
00:11
I like it.
00:12
Absolutely.
00:12
The city might be too back.
00:15
OK, so you guys founded an AI lab in 2018.
00:19
You've been at this for a little while.
00:20
Tell us, where is it?
00:22
What does it do?
00:23
What have you learned?
00:23
Sure.
00:24
And I think that when people talk about AI,
00:29
they forget that the AI lab at MIT
00:33
was actually founded in the 1950s.
00:36
So a lot of these ideas, these concepts, these methodologies
00:41
are actually not brand new.
00:44
What's brand new for the past few years
00:47
has been this confluence of there's
00:49
more data than anyone could have imagined even a few years ago.
00:54
And the amount of compute capacity in the world
00:58
and how you access it has just fundamentally changed.
01:03
A couple of years ago, even less,
01:05
when ChachiPT started what I would call a gen AI revolution,
01:12
the world changed again.
01:14
So we had started our AI lab in 2018.
01:18
We've been using these methodologies really
01:20
for a couple of decades.
01:22
And what the purpose of the AI lab, which is literally
01:27
right on the border of the campus of Stanford,
01:32
and we have a lot of people who are affiliated with the math
01:35
department, the electrical engineering
01:37
department of Stanford who are effectively running the lab.
01:41
And the vision at the time was a very simple vision,
01:44
which was we have a lot of things we're solving for.
01:48
We have a group of people who are solving for them using
01:50
a variety of methods we've been trying for many, many years.
01:54
And let's get a group of people who
01:56
are more focused on natural language processing,
02:01
optimization, more focused on the math than the finance.
02:06
And let's throw the same problems at them
02:08
and see how they would ultimately
02:10
solve those problems.
02:11
And we've had great, great success with that.
02:15
What changed a couple of years ago,
02:17
and I think at the most basic level you could think of it,
02:20
as everything we were doing really
02:23
was centered on numbers.
02:25
Now what's happening with Gen AI is
02:28
that you're able to extend your problems and solutions to be
02:33
more about words and language.
02:36
And that unlocks what I believe will
02:40
be the most significant technology innovation,
02:45
evolution, revolution of my 30-year career,
02:49
because the kinds of things you could do
02:53
have just expanded greatly.
02:56
And I'll give, can I give one quick example?
02:59
You may.
02:59
OK, so the quick example that I would give
03:02
is we had a presentation to BlackRock's board
03:05
several months ago.
03:07
It was either October, November, or last year.
03:11
And the presentation was on Gen AI
03:15
and what our strategy associated with Gen AI is.
03:18
And as part of that presentation,
03:21
because we normally would write a memo as part of the board
03:24
materials, we had the idea of let's actually use
03:29
ChatGPT to write the memo.
03:32
So we took what our strategy document was,
03:35
and we fed it into ChatGPT with a very simple prompt.
03:40
And that prompt was write an executive summary,
03:43
I think it was 500 words, maybe 1,000 words,
03:47
for the board explaining our strategy, some of the risks,
03:50
and so on.
03:52
So it gave us a memo.
03:54
And then we gave that memo to a bunch of people
03:56
internally to read.
03:58
And what was most amazing to me is,
04:02
and we have some tough graders within BlackRock,
04:05
let me be very clear.
04:07
As we gave the memo to those tough graders to read,
04:10
everyone had comments.
04:13
And the comments were typically things
04:15
like, I hate the tone.
04:18
The comments were like, I think you're selling yourself short.
04:22
The comments were like, what about this?
04:25
No one realized it was actually written by a computer.
04:29
A couple of people, when we told them
04:31
it was written by a computer, they said,
04:32
I don't like the computer's tone.
04:35
I'm like, well, you should take that up with the computer.
04:37
And then what became clearer is that even something
04:42
like the tone, the computer will
04:45
be able to modify its tone.
04:46
It's like, be a little nicer.
04:48
Or you feed it 10 other memos with the right tone,
04:52
and you say, give me the tone of those memos.
04:55
So those are the kinds of problems
04:57
you would have never thought of a computer solving
04:59
three years ago, writing the memo,
05:01
describing your strategy.
05:04
So the unlock here is a generational unlock.
05:09
And particularly through the lens of a COO,
05:12
it's an incredible force with regard
05:17
to how you need to think about operating a company,
05:21
the talent strategy, and just the overall strategy of how
05:25
you engage with and communicate with clients,
05:28
how you process information to generate investment ideas.
05:33
It's a whole new world.
05:35
Let's talk about strategy a little bit.
05:36
One thing I'm hearing from a lot of companies
05:38
is suddenly you need to re-evaluate your strategy
05:40
every three months, every six months.
05:42
It's no longer something that gets evaluated
05:45
every couple of years.
05:46
What are you finding?
05:47
Well, I think as a starting point, without question,
05:53
everything is just happening faster.
05:56
So if you take a step back, I think this is another,
06:00
we would think of technology innovation and consequence,
06:05
maybe an unintended consequence.
06:08
But everything is happening faster in this world.
06:11
And a big part of it is because one
06:13
of the fundamental ingredients for change is information flow.
06:18
And the information flow is just accelerating, accelerating,
06:21
accelerating.
06:23
So I think we view strategy as an incredibly fluid assignment.
06:32
But what's interesting from a BlackRock lens
06:34
is that the strategy has been largely unchanged.
06:39
Because from our perspective, we're
06:43
really looking at what are the challenges that clients
06:47
have with their whole portfolio, with the whole investment
06:51
portfolio.
06:52
And the core of our strategy is really
06:54
fulfilling that whole portfolio requirement.
06:58
And if anything, many of the forces
07:00
that are happening, including the forces
07:02
that we're describing now, are just
07:06
accelerating the client requirement
07:09
to work with people who could do more and more things
07:12
for that whole portfolio.
07:14
When you look back over your 30-year career at BlackRock,
07:17
what are some of the things that you think
07:19
are unique about your company and have
07:22
made it so successful over the past 30 years?
07:25
We only have six minutes.
07:26
I think I could talk for a year about my 30 years.
07:29
But importantly, I think that if you
07:34
look at the history of BlackRock,
07:36
and if you look at what BlackRock is today,
07:39
and even as we were being introduced,
07:41
we spoke about BlackRock.
07:42
We spoke about the Aladdin platform.
07:45
We spoke about the ETF platform, the iShares platform
07:49
that we have.
07:50
And what's interesting is that if you
07:53
think about the asset management industry,
07:55
particularly if you go back 30 years ago, 20 years ago,
07:59
10 years ago, and you could argue even today,
08:03
it really is organized much more around the service providers,
08:07
the asset managers.
08:10
And then there's this expectation
08:11
that the clients have to put all these service providers
08:15
together.
08:17
So even if you look at BlackRock and our size and scale,
08:23
it still is under 10% of the market.
08:26
The industry is incredibly bifurcated,
08:29
which leads to the client having to do a lot of work.
08:33
And the strategy that we've been employing
08:35
at the most basic level is that the clients
08:38
are our compass for where we take the company.
08:41
So the clients are building these whole portfolios.
08:44
Those whole portfolios involve taking investment strategies
08:49
that seek alpha, investment strategies
08:53
that are designed to provide exposures
08:55
through replicating indices, public markets,
08:58
private markets, across a whole array of things.
09:02
Then you need to understand the risks in those portfolios.
09:06
You need to understand asset allocation.
09:08
You need technology to do the processing.
09:11
So our strategy has always been, how
09:13
do we be able to solve the client's whole problem
09:17
or any building block piece or the technology infrastructure?
09:23
Now, if you look back, when we started to provide Aladdin,
09:28
people said, why would an asset manager provide technology?
09:33
When we bought Barclays Global Investors,
09:36
and we, as part of that, had the iShares leading ETF franchise,
09:44
people basically said, you need to be an active manager
09:48
or you need to be an index manager.
09:50
They would call it back then a passive manager.
09:52
It could be nothing further from the truth.
09:55
You can't be both.
09:57
It was religious.
09:59
And we just said, why is it religious
10:03
if clients are taking all these pieces
10:07
and putting them together?
10:08
Isn't the industry an industry designed to serve its clients?
10:13
And I think if you look at the past three decades,
10:16
the industry is just shifting more and more.
10:20
And I like to think BlackRock is leading in that shift to,
10:23
how can you really service the whole portfolio?
10:27
And how could you be able to talk to clients
10:30
where, even if they buy one Lego piece, one building
10:33
block from you as an individual product,
10:36
you recognize it's in the context
10:38
of that whole portfolio?
10:40
And you can talk to them about that Lego piece
10:45
in the context of the whole portfolio.
10:48
Well, we're here at the Future of Finance Conference.
10:51
So now it's time for some bold predictions.
10:53
We're sitting here 10 years from now.
10:55
What is going to look different about the whole finance
10:57
industry?
10:58
I think that BlackRock was founded,
11:05
and from the earliest days, there
11:07
was a thesis that, at its core, the asset management
11:13
industry is an information processing industry.
11:17
And I think the past three decades have been,
11:21
if you look at it as a line, it's
11:23
been going like this towards that vision.
11:26
I think the line is going to go like this.
11:28
I think that the asset management
11:31
industry and the broad business of investments in aggregate
11:38
is going to just increasingly become an information
11:42
processing, a technology business.
11:44
There's going to be mass personalization
11:48
that clients are going to be able to experience.
11:51
There's going to be a mass ability
11:54
to look at all the data that's being created.
11:59
And remember, if you look forward as a prediction,
12:02
I'm not smart enough to know if it's 5x, 10x, 100x, 500x.
12:08
I just know it's lots of x more data in the world
12:12
that asset managers will need to understand and process.
12:16
And these businesses are just going
12:18
to increasingly become technology businesses
12:22
in every way possible.
12:24
I think it's also quite clear that the lines
12:29
between the public markets and the private markets,
12:32
the lines between where you are within a capital structure
12:37
and a capital stack, all of these lines
12:40
are getting more blurry.
12:42
So the portfolio of the future will clearly
12:46
have public market exposures and private market exposures.
12:51
It will clearly have fixed income and equity.
12:54
But it will clearly be thought of more
12:56
as a series of exposures than the convenience technology
13:01
of being able to label things a certain way
13:05
and assume as a simplifying assumption,
13:09
assume that that label behaves a given way.
13:14
Last question.
13:16
You've said tech a lot.
13:18
I haven't counted, but it's many times.
13:20
Is it changing who you're hiring?
13:21
What type of background are you looking for now?
13:24
That's a great question.
13:25
We, within BlackRock, roughly a little over a quarter
13:33
of the company would be people who are technologists.
13:37
That is something that we've been doing for quite some time.
13:41
But it's interesting because I feel like
13:44
we have more and more conviction that we
13:46
need more technologists.
13:48
We also have more and more conviction.
13:50
We're a firm that has a very large analyst class every year
13:54
that we hire out of university.
13:56
We also have more and more conviction
13:58
that we need people who majored in history in things that
14:02
have nothing to do with finance or technology.
14:05
And it's that diversity of thinking and diversity
14:09
of people and diversity of looking at different ways
14:12
to solve problems that really fuels innovation.
14:16
As a history major, we have to stop there.
14:18
But as a history major, I'd love to hear that.
14:20
Thank you so much for joining us.
14:21
Thank you.
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