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Baidu revenue surges as it expands AI push: "Everyone is riding this wave of AI"
CGTN Europe
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21/05/2025
CGTN Europe interviewed Rob Kniaz, founding Partner of H-Tree Capital
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00:00
Hello, welcome back.
00:01
Chinese tech giant Baidu has reported a surprise jump in revenue
00:05
despite intense competition in artificial intelligence
00:07
and an ongoing economic slowdown.
00:10
First quarter revenue rose 3% to $4.5 billion.
00:15
Net income for the first three months of the year
00:17
came in at just over $1 billion,
00:19
which was up 42% from the same period last year.
00:23
And as part of that AI competition,
00:25
Baidu has axed subscriptions for its chatbot Ernie,
00:28
making it free for individual users.
00:31
Rob Nyes is founding partner of H-Tree Capital,
00:34
a London-based technology venture capital firm.
00:37
Everyone's riding this wave of AI right now in the frenzy
00:39
to apply it to different areas of opportunity.
00:42
Baidu, again, is fairly unique, like Google or Alphabet,
00:45
in a way that they also have self-driving cars,
00:47
so they can also apply AI across their various business units.
00:51
So is that going to be where the company's growth is,
00:53
do you think, the AI division?
00:56
I think more likely than not.
00:57
I mean, obviously, they have lots of different bets on,
00:59
like Alphabet does,
01:00
but I think, you know, in the clear and present sense,
01:02
the most obvious opportunity is going to be all around AI
01:04
and spinning that as many different ways as they can.
01:07
When it comes to their chat GPT equivalent,
01:10
we'll call it Ernie,
01:11
they've made that free to individual users.
01:14
That sounds like a counterintuitive move.
01:18
I think it's a way to get awareness and usage up,
01:20
and frankly, to get them better data
01:22
that they can start tuning themselves.
01:23
I mean, when you're building an AI model,
01:26
there's training data and then there's real user data,
01:28
and frankly, for someone starting from behind,
01:30
like they are with Ernie,
01:31
nothing really benefits you better
01:32
than having real actual user interface.
01:35
So I think it's a smart move for them to build Mindshare
01:38
and to show that, frankly,
01:39
they can still come up and build a winning product.
01:42
It's obviously a very competitive space, AI,
01:44
particularly in China.
01:45
How competitive is Baidu in that arena, do you think?
01:48
I think that they're a player.
01:51
I mean, they're one of several
01:52
that are all leapfrogging each other.
01:54
Nearly week by week,
01:56
one will do another launch that upends the other.
01:58
So I think it's still an open stakes race
02:00
that it's unclear who will be an ultimate winner
02:02
or whether there'll be several
02:04
around the same level of quality.
02:06
But I think Baidu has just as good a shot as anyone does,
02:08
similar to how the US players are shaking out now.
02:11
And you mentioned Baidu's autonomous ride-hailing service,
02:15
Apollo Go.
02:16
Where does Baidu stand in that market?
02:20
Yeah, they're coming from behind.
02:22
They're looking at entering Europe now.
02:24
I think it's interesting and it's an ambition
02:26
that unlike other pure AI products,
02:28
it's not just siloed into China
02:30
and they're thinking about taking over the world
02:31
in a similar way.
02:33
It's interesting.
02:34
It's much more of a long-term bet
02:35
than pure AI stuff is right now.
02:37
But I think it shows the company
02:38
is thinking quite strategically
02:39
about how do they expand worldwide
02:41
and how do they find interesting areas
02:43
that require a lot of capital
02:45
and you build an eventual moat to keep others out.
02:48
Do you think that is going to be a big market,
02:50
the autonomous driving industry?
02:51
Where do you see that going this year?
02:54
Yeah, I think it's still early days
02:55
that we've said it's ready for autonomous driving
02:58
every year for the past five or six years
03:00
or it's a year or two away at best.
03:02
And now, frankly, we have maybe two cities in California
03:04
that have somewhat viable access to this.
03:07
And even in LA, you can't take an autonomous car,
03:10
self-driving taxi on the highway, for example.
03:12
I think it's still a ways off,
03:14
but these are long-term bets you have to make as a company
03:16
that if and when it does reach a point
03:18
of hitting critical mass and acceptance,
03:20
there's going to be a lot of cities
03:21
where this is going to be a desirable product.
03:23
So in my mind, it's a bet these companies need to make
03:26
and make strategic sense.
03:28
So going back to the bigger picture,
03:30
good figures for Baidu this time around.
03:32
What might be the hurdles they need to look out for going forward?
03:37
I think for all these companies with AI,
03:39
the costs are quite staggering up front to build the models,
03:42
train the models, support the usage.
03:44
So when you have unlimited free tiers,
03:46
that of course lends itself to very wide use.
03:48
The real question is, can they up the stakes
03:50
and increase fees as they go to match the actual usage?
03:54
You're seeing this now in the US
03:56
with some of the providers,
03:57
building OpenAI, for example,
03:59
building a programmer level tier
04:01
that's $250 a month, for example.
04:04
I think all these companies are going to make that evolution
04:06
where it's free or cheap in the early days,
04:08
then in time they start to monetize
04:09
and find the right price point
04:11
that both companies or individuals are willing to accept.
04:14
And that's still not really shaken out.
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