Joe Tsai on US-China Rivalry, AI's Future, Owning the Nets/Liberty, Caitlin Clark's Major Impact
(0:00) Introducing Joe Tsai
(0:49) Owning the Nets and Liberty, Caitlin Clark’s impact on the WNBA, does the NBA need fixing?
(6:07) Alibaba origins, China’s pullback on capitalism
(10:10) US vs China rivalry: the AI race, are we destined for conflict, and what can the US learn from China?
(19:46) AI application in large businesses
(21:52) Managing corporate culture at Alibaba’s scale, Nets predictions
(23:17) AI adoption, job anxiety, and AGI views in China
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Transcript
For people who don't know who he is, please give us an introduction to Joe Sai.
He's the owner of the Nets and he's now chairman of Alibaba.
We like innovation from the bottom up.
Alibaba just dropped their secret weapon, Quinn 2.5 Max.
Alibaba surged 14.5% overnight, beat estimates on nearly every metric.
A massive rally alone this year, adding about 100 billion to the stock's value.
You have to have a growth mindset when you compete.
Ladies and gentlemen, please welcome Joe Sy.
Hey.
My man, good to see you.
Good to see you.
Good to see you, brother.
Joe, nice to see you.
Good to see you.
Good to see you.
David,
how are you?
The Brooklyn Nets.
Brooklyn Nets.
Brooklyn Nets.
And the New York Liberty.
And the New York Liberty, exactly.
It's not easy running a team, is it?
It's
not easy at all.
Not easy at all.
Because
a basketball, any professional team is both a business and also it's an institution.
You need to keep the fan base happy.
So there's sort of this church and state element.
It's almost like running a news organization.
Yeah.
There it is.
Can we maybe start with the WNBA and we can shift to business and we can shift to basketball?
But I think Caitlin Kark is out for the season and there's just been a lot of controversy and attention that the WNBA is getting.
What has it done right?
What has it done wrong?
Has the league been doing enough to protect her as
a star in the face of the league?
It's been almost a microcosm for just a social discussion.
Do you want to just talk about that as what you see?
Clayton Clark definitely had an effect on the WNBA.
All the metrics went up.
So, this was last season, right, when she first came into the league from college.
And
we've seen all of our metrics from viewership, ticket sales, sponsorship, everything went up like almost 4x.
4x.
4x.
Right.
I mean, that's incredible.
That's incredible.
So the economic impact that she's made to the league is extraordinary.
Undeniable.
Undeniable.
But because of who she is, you know, she's a little bit of a different
kind of play.
You know, she's a point guard.
She's a smaller player.
The knock on her was, was she going to be able to withstand the physicality of the league?
And she's proven that she's able to
do that.
Unfortunately, there's been,
I think it's always good to have rivalries, right?
You know, she has this rivalry with Angel Rees that dated back to college.
But some people would like to pit it as a kind of a racial thing or is it
this or that?
I think we need to look past that and just look at the skill set that's being brought into the league.
Now we have so many great college players.
I mean
the
rookie of the year potential candidate is Sonia Citrone.
Have you ever heard of her before she came into the league?
I mean she I think she just broke the record for the highest three-point shooting percentage in the league.
So you know you see tremendous amount of talent and I think
you ask
what have they done right?
I think it's a matter of just a confluence of good things coming into the league.
And what about the NBA?
So you guys did just an enormous...
But the one thing that's really changed
is
prior to the Caitlin Clark season,
your average fan base that watches ESPN, basically
you guys are not watching women's basketball.
Maybe some of them follow college, but certainly not the WNBA.
But now your average ESPN fan base, they are watching, the mainstream sports fan base are watching the WNBA.
I think she's a bad person.
I have an observation about this, and you and I are old school basketball heads, you know, watching, having watched the 80s and 90s, and Patrick Ewing and Charles Barkley.
It's more physical.
They're tougher in the WNBA.
And every time LeBron goes up and he gets fouled, oh, and he's just, oh, and he's flopping all the time.
How does he do it?
Ugh.
You know, it's a foul.
It's a foul.
So maybe you could comment on LeBron being like.
We're just generally the NBA product, actually.
Yeah, I mean, the NBA product.
And then they're so tough and they're throwing each other around.
It's a better game.
The NBA product is great.
I don't think it's fair to compare whether the men's league is more less physical than the women's league or more one, the other.
I mean, they're both very physical.
I mean, if you are sitting there on the floor, you are watching physicality
and also athleticism, right?
But the game has, you know, the NBA has this
committee called the Competition Committee.
So I got put on the competition committee.
They call me
and they say, Joe,
want you to be on the competition committee?
You know, it's about rules about, you know, like, what is this transition, take foul?
So the committee is, every season they make these tweak changes.
They make changes to the refing to make the product better.
I mean, when I got the call, I'm like, you want me to sit on the committee with Jason Kidd, Chris Paul, and Coach K.
Like, what do I know about basketball?
Right.
That can, you know, really be smarter than then.
But what I've seen is I've said to ask
Silver, the competition committee should be called the product committee because that is the product the fans see on the floor.
If you change, let's say if you change the three-point line, that is a product decision.
Sound competition.
Should they?
Is it?
I don't think so.
I don't think so.
When you watch the Boston Celtics throw up 43s in a game, you think think it's a good product?
I think it's a great product because there are 18 different ways you can throw up 43s in a game.
Okay.
Let's transition to Alibaba for a second.
It's an incredible journey, you and Jack Ma, and the whole story has, I mean, it's written in books, and there's just tremendous lore.
But can you take us back to your mindset?
I mean, I think we've heard, it's well documented, Jack's mindset, but how you got involved, what you were thinking in that moment, the risk you were taking.
I was just mesmerized by Jack's personality.
People see the public side of Jack, which is very charismatic.
But what I saw was he was able to instill faith in people.
I mean, he had it.
When I walked into his apartment, there were like 12 to 15 sort of very young people, roughly, you know,
students that were just coming out of college.
And Jack was kind of the teacher that's 10 years older.
And he's able to communicate, he's able to paint a a very strong vision.
That was the part that I really signed on to.
His ability to lead is an amazing ability.
And, you know, he's a teacher by training.
He taught at Zhejiang University.
He taught English, actually.
You know, teachers, in a way, make natural leaders because A, you have to communicate well.
And B, you can identify talent.
I think a lot of teachers love to see their students and say, oh, this kid is going to do really well.
So they write a recommendation, they do whatever.
And also teachers have enough humility that they're willing, they're very happy if their students go off and then they come back and become more successful than they are.
And in building a company, you need to be able to accommodate all sorts of people that are smarter than you are.
And that's really important.
There was a phase, I guess, in the maybe the early 2010s where it was a lot of, it felt like, tremendous freewheeling capitalism in China, where there was just
a Cambrian explosion of incredible entrepreneurs, yourself and Jack and all these others, pony.
And then I think almost starting with the anti-PO,
things changed a little bit.
Can you walk us through the dynamics of how that changed?
And then I think it all kind of leads to, you know, the lot of foreign direct investment into the Chinese ecosystem has changed pretty dramatically.
Just give us a sense of what has happened over that arc that you've been in it and working in it, observing it.
Alibaba has been around for 26 years.
I would say the first 15 years
was a complete free market kind of
way of growth.
And we built a lot of businesses organically.
And then
we went into a phase where there was extreme competition.
Everybody wanted to do e-commerce.
Why?
It's because if you have traffic online, e-commerce was the best way to monetize your traffic.
And today, in today's market, we have five or six very, very strong competitors, including the parent company of TikTok, ByteDance.
They are doing e-commerce.
They're not known as an e-commerce company, but they are one of our fiercest competitors.
So
you go through a period of extreme competition.
And then the government felt that this sector has gotten out of line.
a little bit.
First, there's too much competition, and then there are some platforms that have exhibited monopolistic behavior.
So then there was a,
you know, people may call it a crackdown, whatever, more regulations came in.
Regulations, some of the regulations are very good, actually.
They protected privacy,
anti-monopoly type regulation.
And
now we kind of are in a new normal where
We are
We believe that the regulatory environment is more predictable.
We know what the red lines are,
and we know where to go, where not to go.
And it's actually made
a better operating environment because of the predictability of it.
On a geopolitical level, it seems to me the rhetoric in the United States, what they keep drilling into Americans, is to look at China as an existential threat to America, that we're rivals, that we cannot operate and lead the world to prosperity.
What do you think?
I
don't agree with that view of the world.
I'd be interested in your view, David.
I mean, I don't agree with it either.
I mean,
I don't know why this has to be the only dialogue we have, is that we are bitter rivals.
I mean, look at this.
I think I could understand why, sitting here in America, you look at the rise of China over the last 20 years, 25 years.
China has become strong in terms of manufacturing.
That's why it's such an export juggernaut.
It has become, because of the economic development,
China has become a technology juggernaut as well.
And the fear is, well, all that stuff, economic strength and technology strength, is going to flow into military strength, and that becomes kind of a national security issue.
I understand that.
I get it.
But I think
it's
it.
these are the two largest economies in the world and I think you just need to take a step back and say well yeah on the one hand we should compete with China, right?
That's fine.
The hyperscalers companies compete with the Chinese internet companies globally but then on the other hand there there is just so many troubled spots in the world that what did President Trump say that he stopped seven wars, right?
Okay, well China has didn't start any of them.
China has not started a war in the last how many years?
You know, 30 years, 40 years.
I think China was part of the Korean War,
maybe the Vietnam War, but that was a long time ago in history.
So, in a way, China, you know, if you observe the behavior of the Chinese people and the Chinese state, it's a very peaceful nation.
China cares about its own economic development.
They care about the well-being of its citizens.
And I think there's a lot of friction
in the course of competition where China feels that the United States is trying to contain China and stop the rise of China economically.
Just speaking about the welfare of its citizens, you mentioned ByteDance.
I think there was reported ByteTense revenue just passed Meta's revenue.
I mean, it's a juggernaut.
It's a private company, so I don't know.
You're telling...
Yeah,
they actually release it, but
one of the core products, TikTok, it's a fundamentally different product here than in China.
And because of that regulation and a focus on the welfare of its citizens, there's like strict rules in terms of the content and the curation and the algorithms.
Whereas here, you know, it's like cat videos and like, you know, all kinds of nonsense.
Although now I noticed that TikTok put a STEM section inside of TikTok in the American product for whatever reason.
There's a wherewithal that China has to think about its citizenry like that.
And I'm just curious, how do we embrace more of that principle?
Because that sort of gets lost in this
question.
What can we learn from China?
Yeah.
Yeah.
What should we be doing more of that China?
Well, first, education.
I mean, you have an extremely highly educated population.
And, you know, you talk to every Chinese parent, they want their kids to take the college entrance exam and get into the best universities.
You know, if they want to send their kids away to school, they want to go to the Ivy League or Stanford or you know all that.
So
I think the emphasis on education, I think there are some structural issues here in the United States like the teachers' union that is getting in the way.
But
there are no teachers' unions in China.
David, what's your...
David, I'm curious, looking at this,
not in any official capacity, but kind of the same question Jamath and I are sort of
probing about here.
What is your take on America and China succeeding together?
And are we destined to be in conflict with this country forever?
Or is there a path forward with our incredible, amazing, dynamic President Trump?
Well, I think, you know, Professor Mearsheimer explained it at all in summit last year, that the U.S.
and China are in a high-tech competition, they're in a security competition, economic competition.
And the reason is because China's become rich and powerful.
And the United States does not tolerate pure competitors.
We want to be the number one country.
We want to be the most powerful country.
The balance of power is, to some degree, a zero-sum game.
Economics are not, but power is.
And the history of the United States is we want to be number one, and we don't like having pure competitors.
And I mean, that's the bottom line.
Now, I mean, there are good reasons for this.
We live in an anarchic world, meaning there's no higher authority.
If you get in trouble in the global system, you can't call 911.
And so countries privilege their survival over all other considerations, and the way to survive in the international system is to be powerful.
And you measure your power based on the gap between you and the next most powerful country.
And I think that 20 years ago, China wasn't seen as a threat because it wasn't rich and powerful, but now it is.
And I think that's what's led to a much more hawkish environment in Washington.
And I can't disagree with all of it because I think it's very important that the United States win the AI race.
We don't want China, for example, to dominate in AI or in chips.
We want the ⁇ as Americans, we want the United States to be the most powerful country.
Now, if I were Chinese, I would want China to be the most powerful country.
And I don't have any resentment towards...
Chinese people who want their country the most powerful country.
So there's no animosity in saying this, but I want the U.S.
to be the most powerful country.
And, you know, in my little part of the world, that means winning the AI race.
Can I
respond to that?
Yeah.
Yeah.
I think it's really important that
you as a patriotic American, you want America to win.
But I think when it comes to AI,
there's no such thing as winning the race.
I think it's a long marathon.
And you could just see by these model companies, every week there's a model that's leading, but then the next week another model overtakes them, right?
So, and the other thing is, it's AI is one of those
we haven't figured out what is the business model is, but in our business, in e-commerce, we have a marketplace model with network dynamics.
But I'm not sure if the development of models has those network effects that means winner-take-all, right?
So, I don't think AI is a winner-take-all field.
I think what
my definition of winning
is not who comes up with the strongest AI model, but who can adopt it faster.
And I think
people here in the United States, a lot of resources should go into adoption and diffusion of the technology as opposed to just plowing, you know, bill I mean literally each of the hyperscaler companies is, and each of them is investing something like $80 billion
a year.
But, you know, I think if you look at China, a couple things are going on.
Number one, China has espoused open source.
And second, a lot of the companies, including ourselves, have launched models that are smaller,
not the trillion-parameter models, but we have a model that's 1.7 billion parameters,
another that's 8 billion for mobile devices and laptops.
So with these types of
development, I think it's more conducive to faster adoption.
You want AI to proliferate.
So now, you know, you look at China.
I'm not saying China technologically is winning in the model war,
but in terms of the actual application and also people benefiting from AI, it has made a lot of development.
I've seen a survey of Chinese firms.
Last year, only 8%
are using AI, were using AI in their business.
Now that number is approaching half, 50%.
So the adoption rate has been fairly fast.
And I think that the two countries, AI is such an important element of life.
It's almost like air,
right?
And
why would any one country say we have a sole claim to air?
We should,
there's so many things that AI can do that could, you know, in medicine, in biology, that, you know, we,
I think there's a lot of room for cooperation.
Sure, one of the key questions that everybody asks when we talk about AI and whether you spin your own models, which you do, which you've done a good job, and some people just take them off the shelf, is the actual net impact in the operations of the business.
Does it change the number of people you hire?
At what level does it change it?
Does it change the efficiency?
Does it change the way you think about certain jobs?
What's the practical application that it's doing for you guys on the ground inside of Alibaba?
Yeah.
It's definitely made our operations more efficient.
So we actually can don't have to hire as many people.
I'm still, I'm on this sort of mission to write our quarterly quarterly earnings release with AI and maybe just have a model right now.
Yeah,
and also put AI on the on the analyst conference call, see if people can
tell the difference.
But anyway, then they'll get rid of everybody in the finance department.
But
the biggest impact AI has made is with our,
we incorporate AI into all of our consumer-facing apps.
So we're in e-commerce, we're in maps,
we have a food delivery business.
And
once you infuse AI, the consumer have a massively better experience, and that generates more user base for us.
So we are seeing the impact from the sort of the uplift on the revenue side.
Is the workforce then naturally attriting as more and more of the workload is?
Yeah, we haven't announced any layoffs because of AI, but I think
I keep asking our engineering leads about how
much of the code is written by AI today.
I think the answer I get is all over the map, depending on which department
you ask, but I think it's maybe 30%
at this point.
Already.
Yeah.
Already.
I'm doing kind of a weighted average of different, yeah.
Alibaba is an enormous business.
It's in so many countries around the world.
How do you build a culture?
How do you manage just the insanity of having so many employees, so many needs, so many issues?
How do you deal with it?
Focus.
So I came into the chair, you know, I was sort of kind of phasing out.
I was focused on the Brooklyn Nets.
Then about a year and a half ago I came back into the chairmanship of the company.
The first thing I said is we can't talk about our company as being in six different businesses.
It's just too confusing.
We're in two businesses, e-commerce and cloud computing, with an AI element in it.
Those are our two businesses, core business.
And so having that focus was absolutely crucial to get our people, our teams to focus and
execute.
Maybe end with just
forecast for the season?
The whole league or just the Brooklyn?
Maybe just the next.
Well, I have to say
we're in a rebuilding year.
You have a lot of picks.
We spent all of our picks.
We have five for strong traffic this past summer.
We have one pick in 2026, and we hope to get a good pick.
So
you can predict what kind of strategy we will use for the season.
But
we have a very young team.
So we were talking to Dara on the last panel on
how China is a bit different in how it looks at autonomy, self-driving.
There are tests going on there.
But they want to also make sure that there is tranquility and peace in the country and people don't lose those jobs, those driver jobs.
And so what's the climate in China?
What do the Chinese working class think when they see self-driving cars and they see tens of millions of people employed as drivers?
There have been protests already in Wuhan, and protests in China are a very rare thing.
Based on what I know, I could be wrong.
I have a superficial knowledge, obviously.
You have a deep knowledge.
What can you tell us a little bit about how
the government and the people of China think of this incredible revolution and the impact on jobs?
I think the government is all in
embracing it.
And in fact, the government just a few weeks ago launched a kind of an AI plus policy.
And they say in 2030, which is five years from now, they want to see 90% penetration of AI agents and devices and things like that in society.
That's what the government has publicly, officially said.
Just an all-in, just in just all in.
There's really not a lot of talk about
AI replacing human jobs.
Maybe there's isolated incidents.
But in general, there is an anxiety about jobs.
China graduates about 10 million college graduates every year.
And today, if you look at the youth unemployment rate, which is aged between 16 and 24, including graduates,
it's 18%.
It's actually quite high.
So there's a lot of anxiety about that.
Partly it's because the economy is, even though the overall conditions of
the Chinese economy is pretty good in terms of infrastructure, access to energy, and all those things.
But there is still a malaise right now because China has gone through the last four or five years of a property slump.
Everybody's average home prices are down like 30%.
So there's a very negative wealth effect and that's still lingering.
Just quickly, is there any fear of AGI in China?
You know what I mean by that?
That out-of-control superintelligence?
Is that a fear or is that just an American thing?
we
people in government don't
talk about it too much because they believe that
they could control it better, maybe better than in a you know society here in in the US.
But there are some some some lingering fears.
Um but you know I was just listening to Dennis about you know, he's predicting five to ten years, but if he's saying five to ten years, I think AGI is probably 20 years from now.
And
it's because
the emphasis is on the word general.
You have to be able to, your AI has to be able to generalize and apply
principles to scenarios that you've never seen before, right?
Joe, thank you very, very much.
Great to see you.
Thank you very much.
Thank you.
Joe's high.
David, thank you.
Thank you.
Thank you, Joe.
Pleasure.
Thank you,
Fantastic.
Very much.
Thank you, brother.