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BOND
May 2025
Trends –
Artificial Intelligence
BOND
2025 年 5 月
趋势–Artificial
Intelligence

Trends – Artificial Intelligence (AI)
May 30, 2025
Mary Meeker / Jay Simons / Daegwon Chae / Alexander Krey
Trends – Artificial Intelligence
(AI)2025 年 5 月 30 日
Mary Meeker / Jay Simons / Daegwon Chae / Alexander Krey

2
Context
We set out to compile foundational trends related to AI. A starting collection of several disparate datapoints turned into this beast.
As soon as we updated one chart, we often had to update another – a data game of whack-a-mole…
a pattern that shows no sign of stopping…and will grow more complex as competition
among tech incumbents, emerging attackers and sovereigns accelerates.
Vint Cerf, one of the ‘Founders of the Internet,’ said in 1999, ‘…they say a year in the Internet business is like a dog year –
equivalent to seven years in a regular person's life.’ At the time, the pace of change catalyzed by the internet was unprecedented.
Consider now that AI user and usage trending is ramping materially faster…and the machines can outpace us.
The pace and scope of change related to the artificial intelligence technology evolution is indeed unprecedented,
as supported by the data. This document is filled with user, usage and revenue charts that go up-and-to-the-right…
often supported by spending charts that also go up-and-to-the right.
Creators / bettors / consumers are taking advantage of global internet rails that are accessible to 5.5B citizens via
connected devices; ever-growing digital datasets that have been in the making for over three decades;
breakthrough large language models (LLMs) that – in effect – found freedom with the November 2022 launch of
OpenAI’s ChatGPT with its extremely easy-to-use / speedy user interface.
In addition, relatively new AI company founders have been especially aggressive about innovation / product releases / investments /
acquisitions / cash burn and capital raises. At the same time, more traditional tech companies (often with founder involvement) have
increasingly directed more of their hefty free cash flows toward AI in efforts to drive growth and fend off attackers.
And global competition – especially related to China and USA tech developments – is acute.
The outline for our document is on the next page, followed by eleven charts that help illustrate observations that follow.
We hope this compilation adds to the discussion of the breadth of change at play – technical / financial / social / physical / geopolitical.
No doubt, people (and machines) will improve on the points as we all aim to adapt to this evolving journey
as knowledge – and its distribution – get leveled up rapidly in new ways.
Special thanks to Grant Watson and Keeyan Sanjasaz and BOND colleagues who helped steer ideas and bring this report to life.
And, to the many friends and technology builders who helped, directly or via your work, and are driving technology forward.
We set out to compile foundational trends related to AI. A starting collection of several disparate datapoints turned into this beast.
As soon as we updated one chart, we often had to update another – a data game of whack-a-mole…
a pattern that shows no sign of stopping…and will grow more complex as competition
among tech incumbents, emerging attackers and sovereigns accelerates.
Vint Cerf, one of the ‘Founders of the Internet,’ said in 1999, ‘…they say a year in the Internet business is like a dog year –
equivalent to seven years in a regular person's life.’ At the time, the pace of change catalyzed by the internet was unprecedented.
Consider now that AI user and usage trending is ramping materially faster…and the machines can outpace us.
a
In addition, relatively new AI company founders have been especially aggressive about innovation / product releases / investments /
acquisitions / cash burn and capital raises. At the same time, more traditional tech companies (often with founder involvement) have
increasingly directed more of their hefty free cash flows toward AI in efforts to drive growth and fend off attackers.
And global competition – especially related to China and USA tech developments – is acute.
Special thanks to Grant Watson and Keeyan Sanjasaz and BOND colleagues who helped steer ideas and bring this report to life.
And, to the many friends and technology builders who helped, directly or via your work, and are driving technology forward.
2
背景
与人工智能技术发展相关的变化步伐和范围确实是前所未有的,数据也支持了这一点。本文档中充满了用户、使用
和收入图表,这些图表呈持续上升趋势 right…,通常还有支出图表也呈上升趋势。
创造者 / 赌徒 / 消费者正在利用全球互联网轨道,55亿公民可以通过连接设备访问这些轨道;超过三十年历史的
不断增长的数字数据集;突破性的大型语言模型(LLM)– 实际上 – 随着2022年11月 OpenAI的ChatGPT及其
极其简单的易于使用 / 快速的用户界面的推出而获得了自由。
我们的文档大纲在下一页,后面是11张图表,用于说明以下观察结果。
我们希望这份汇编能够促进对正在发挥作用的变革广度的讨论 – 技术 / 金融 / 社会 / 物理 / 地缘政治。毫无疑问,人们(和机器)将改
进这些要点,因为我们都旨在适应这种不断发展的旅程,因为知识 – 及其传播 – 以新的方式迅速提升。

• Seem Like Change Happening Faster Than Ever?
Yes, It Is
• AI User + Usage + CapEx Growth =
Unprecedented
• AI Model Compute Costs High / Rising + Inference Costs Per Token Falling =
Performance Converging + Developer Usage Rising
• AI Usage + Cost + Loss Growth =
Unprecedented
• AI Monetization Threats =
Rising Competition + Open-Source Momentum + China’s Rise
• AI & Physical World Ramps =
Fast + Data-Driven
• Global Internet User Ramps Powered by AI from Get-Go =
Growth We Have Not Seen Likes of Before
• AI & Work Evolution =
Real + Rapid
3
1
2
3
4
5
6
7
8
9-51
52-128
129-152
153-247
248-298
299-307
308-322
#
323-336
Outline
•
•
•
•
•
•
•
1
2
3
5
6
7
8
9-51
52-128
129-152
153-247
248-298
299-307
308-322
#
Outline
变化似乎比以往任何时候都快?是的,确实如此
AI用户+ 使用情况+ 资本支出增长= 前所
未有
AI模型计算成本高 / 上升+ 每次Token的推理成本下降= 性能趋同+ 开发者使用量上升
• AI使用情况+ 成本+ 损失增长= 前所未
有
人工智能货币化威胁 = 日益激烈的竞争 + 开源势头+ 中国的崛起
AI与物理世界的发展= 快速+ 数据
驱动
Global Internet User Ramps Powered by AI from Get-Go = 我们以前
从未见过的增长
AI与工作演变= 真实+ 迅
速
3
4
323-336

Weekly Active Users, MM
4
Charts Paint Thousands of Words…
Seem Like Change Happening Faster Than Ever?
Yes, It Is
AI User + Usage + CapEx Growth =
Unprecedented
Developers in Leading Chipmaker’s Ecosystem
1
2.1
Source: Leading Chipmaker
Details on
Page 38
AI User + Usage + CapEx Growth =
Unprecedented
2.2
Internet vs. Leading USA-Based LLM:
Total Current Users Outside North America
Note: LLM data is for monthly active mobile app users. App not available in select countries, including
China and Russia, as of 5/25.
Source: United Nations / International Telecommunications Union (3/25), Sensor Tower (5/25)
0
Years In
Share of Total Current Users, %
Details on
Page 56
AI User + Usage + CapEx Growth =
Unprecedented
Leading USA-Based LLM Users
2
Source: Company disclosures
Details on
Page 55
6MM
2005 2025
Number of Developers, MM
0%
50%
100%
Internet LLM
33
Years In
90%
@ Year 3
90%
@ Year 23
10/22 4/25
800MM
Big Six* USA Technology Company CapEx
*Apple, NVIDIA, Microsoft, Alphabet, Amazon (AWS only), & Meta Platforms
Source: Capital IQ (3/25), Morgan Stanley
2014 2024
CapEx, $B
+63%
$212B
Details on
Page 97
W
e
e
k
l
y
A
c
t
i
v
e
U
s
e
r
s
,
M
M
1
2.1
Source: Leading Chipmaker
Details on
Page 38
2.2
Internet vs. Leading USA-Based LLM:
Total Current Users Outside North America
0
S
h
a
r
e
o
f
T
o
t
a
l
C
u
r
r
e
n
t
U
s
e
r
s
,
%
Details on
Page 56
2
Source: Company disclosures
Details on
Page 55
6MM
2005 2025
N
u
m
b
e
r
o
f
D
e
v
e
l
o
p
e
r
s
,
M
M
0%
50%
100%
Internet LLM
33
Years In
90%
@ Year 3
90%
@ Year 23
10/22 4/25
800MM
Big Six* USA Technology Company CapEx
*Apple, NVIDIA, Microsoft, Alphabet, Amazon (AWS only), & Meta Platforms
Source: Capital IQ (3/25), Morgan Stanley
2014 2024
C
a
p
E
x
,
$
B
+63%
$212B
Details on
Page 97
4
图表胜过千言万语 ⋯⋯
感觉变化比以往任何时候都快?是的,确实如此
AI用户 + 使用量+ 资本支出增长= 前
所未有
领先芯片制造商生态系统中的开发者
AI用户+ 使用量+ 资本支出增长 = 前
所未有
注意:LLM 数据为月度活跃移动应用程序用户数据。截至5月25日,该应用程序在包括中国和俄罗
斯在内的部分国家 / 地区不可用。来源:联合国 / 国际电信联盟( 3/25 ),SensorTower ( 5/25 )
年限
AI用户 + 使用情况+ 资本支出增长=
前所未有
美国领先的LLM用户
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