Foreword 前言

Scott took the stage and got straight to the point, introducing himself and KITE AI's mission:

Scott 走上台，开门见山地介绍了他的身份和 KITE AI 的使命：

"I am the co-founder and CTO of KITE AI. We are building the payment infrastructure for the agent economy."

"我是 KITE AI 的联合创始人兼 CTO。我们正在构建智能体经济的支付基础设施。"

But he wasn't just talking about a product. He wanted to address a more fundamental question: when AI agents are already smart enough to do work for you, why can't they actually do it?

但他想讲的不只是一个产品。他要讲的是一个更根本的问题：当 AI 智能体已经足够聪明到可以替你完成工作，为什么它们还是做不到？

The problem isn't with AI itself. It's with the infrastructure.

问题出在基础设施上。AI 本身的能力已经到位了。

The Three Eras of the Internet 互联网的三个时代

Scott laid out a clear framework for the evolution of the internet:

Scott 用一个清晰的框架梳理了互联网的演变：

"In the early 2000s, we had the Web era, designed for humans sitting at desktops. In the 2010s, we had the mobile phone era... But today, from last year into the future, we are entering a digital marketplace. In this world, the primary traffic and users on the internet are no longer humans, but AI agents."

"在 2000 年代初期，我们有 Web 时代，它是为坐在桌面前的人类设计的。在 2010 年代，我们有移动电话时代……但今天从去年到未来，我们正在进入数字世界的市场。在这个世界里，互联网上的主要流量和用户不再是人类，而是 AI 智能体。"

From desktop computers to smartphones, and now to AI agents. The infrastructure of each era was designed for its primary users. The desktop era had mice and UIs, the mobile era had touchscreens and apps. What does the agent era need?

从桌面电脑到智能手机，再到现在的 AI 智能体，每个时代的基础设施都是为当时的主要用户设计的。桌面时代我们有鼠标和 UI，移动时代我们有触控和 App，而现在智能体时代需要的是什么？

APIs, autonomous identity, automated payments.

API、自主身份、自动化支付。

The problem is that existing internet infrastructure is still stuck in the stage of serving humans. This is the core contradiction KITE AI aims to resolve.

但问题是，现有的互联网基础设施仍然停留在为人类服务的阶段。这就是 KITE AI 要解决的核心矛盾。

The AI Capability Breakthrough AI 能力的突破点

From Assistance to Replacement 从辅助到替代的跨越

Scott shared a striking comparison:

Scott 分享了一个令人印象深刻的对比：

"If we compare with last August, models could only handle very small tasks. They could only solve about 30% of programming problems without errors. Fast forward to December, when GPT 5.2 and Claude 4.5 were released, AI went from merely helping humans code to being able to achieve strategic goals."

"如果我们与去年八月相比，模型只能处理非常小的任务，它们只能无错误地解决大约 30% 的编程问题。快进到 12 月，当 GPT 5.2 和 Claude 4.5 发布时，AI 从只是帮助人类编程变成了能够实现战略目标。"

In just four months, AI's programming capability leapt from a 30% success rate to surpassing senior engineers. A qualitative breakthrough, far beyond incremental improvement.

在短短四个月内，AI 的编程能力从 30% 正确率跨越到超越 Senior 工程师的水平。这是质的突破，远不止渐进式改善。

An Experiment From Two Months Ago 两个月前的实验

Scott shared a more concrete case:

Scott 分享了一个更具体的案例：

"Two months ago... they asked a team of a few students to build a state compiler from scratch using Rust. The engineers spent less than $10,000 per project and completed it in less than a day."

"两个月前……他们要求一个由几名学生组成的团队使用 Rust 从零开始构建状态编译器。工程师们每个项目花费不到 10,000 美元，并在不到一天内完成。"

Building a compiler from scratch in Rust, for under $10,000, in less than a day. If you handed this task to a human engineering team, it could take weeks or even months.

从零开始用 Rust 构建一个编译器，成本不到一万美元，时间不到一天。这个任务如果交给人类工程师团队，可能需要数周甚至数月。

This case proves one thing: AI is already powerful enough to independently complete complex professional tasks.

这个案例证明了一件事：AI 已经足够强大，可以独立完成复杂的专业任务。

The Real Bottleneck 真正的瓶颈

But then Scott pointed out the key issue:

但 Scott 接着指出了关键问题：

"AI can now code better than senior human software engineers... The question is not whether AI can do the work in the first place, but whether the internet allows it to do so, and whether the payment system allows it to do so."

"AI 现在可以比资深人类软件工程师编码更好……问题不在于 AI 能否首先完成工作，而在于互联网是否允许它这样做，以及支付系统是否允许它这样做。"

AI's capabilities are ready, but the infrastructure hasn't caught up. It's like having a super-smart assistant who has no ID, can't sign contracts, and can't use a bank card. No matter how smart, there's nothing they can do.

AI 的能力已经到位，但基础设施没有跟上。这就像你有一个超级聪明的助理，但他没有身份证，不能签合同，不能用银行卡。再聪明也施展不开。

Core Insight
核心洞察

AI's intelligence is no longer the bottleneck. The bottleneck is infrastructure: identity, authorization, and payment systems that still assume every user is a human being.

AI 的智能已经不再是瓶颈。瓶颈在于基础设施：身份、授权和支付系统仍然假设每个用户都是人类。

The Obstacles of the Old Internet 旧互联网的障碍

Everything Was Designed for Humans 为人类设计的一切

Scott explained why existing internet infrastructure becomes an obstacle for agents:

Scott 解释了为什么现有的互联网基础设施会成为智能体的障碍：

"The current internet infrastructure is holding things back. The old internet was built for human eyes and hands... with security measures designed for humans. They were designed for commerce."

"当前的互联网基础设施正在阻碍。旧的互联网是为人类的眼睛和手建造的……有为人类设计的安全措施。它们是为商业设计的。"

Imagine an agent trying to shop on a website:

想象一个智能体尝试在网站上购物：

First barrier: it encounters a CAPTCHA: "Please select all images containing traffic lights." This was designed specifically to block bots. The agent can't get through.

第一关，它遇到了 CAPTCHA："请选择所有包含交通灯的图片"。这个设计的初衷就是要排除机器人，智能体当然过不了。

Second barrier: even if it passes verification, it faces a UI designed for humans: buttons, dropdown menus, graphical interfaces. Agents need structured APIs, not visual elements.

第二关，即使通过了验证，它面对的是为人类设计的 UI：按钮、下拉菜单、图形界面。智能体需要结构化的 API，这些视觉元素对它们毫无用处。

Third barrier: the payment step. The site requires credit card information, possibly SMS verification, maybe even facial recognition. Every step assumes the operator is a human.

第三关，支付环节。网站要求输入信用卡信息，可能还需要短信验证码，甚至要求人脸识别。每一步都预设了操作者是人类。

In this world optimized for humans, agents can't move an inch.

智能体在这个为人类优化的世界里，寸步难行。

Reverse CAPTCHA 反向 CAPTCHA

Scott mentioned an innovative design from KITE AI:

Scott 提到了 KITE AI 的一个创新设计：

"I think this should be interesting... you know all verification asks you to prove you are human. Now the verification we've released is: prove you are AI, not a human."

"我认为这应该很有趣……你知道所有的验证都要求你证明你是人类。现在我们发布的验证是：证明你是 AI，而不是人类。"

This is a true paradigm shift. The old internet said: "Prove you are human to enter." Now the agent economy says: "Prove you are AI to participate."

这是一个真正的范式转变。以前的互联网说："证明你是人类才能进来"。现在智能体经济说："证明你是 AI 才能参与"。

Behind this shift is a bigger insight: the future internet will have services and markets designed specifically for agents, just like today there are apps optimized specifically for mobile devices.

这个转变背后是一个更大的洞察：未来的互联网将会有专门为智能体设计的服务和市场，就像现在有专门为移动设备优化的 App 一样。

The Birth of the Agent Economy 智能体经济的诞生

A $240 Billion Market 2400 亿美元的市场

Scott cited an astonishing number:

Scott 引用了一个惊人的数字：

"In the next decade, AI agents will create a $240 billion market."

"在接下来的十年里，AI 智能体将创造一个 2400 亿美元的市场。"

Where does this market come from? When agents can trade autonomously, they become real economic participants. They will buy data, services, and computing resources. They will trade with each other.

这个市场从哪里来？当智能体可以自主交易时，它们会成为真正的经济参与者。它们会购买数据、服务、计算资源。它们之间会互相交易。

How Agent Commerce Works 智能体商务的运作模式

Scott described the basic operation of the agent economy:

Scott 描述了智能体经济的基本运作方式：

"This will be based on delegation... Agents may interact with other agents, may interact with services. All services could contribute rent, perhaps they can call data APIs."

"这将基于委派……智能体可能与其他智能体互动，可能与服务互动，所有服务都可能贡献租金，也许它们可以调用数据 API。"

Imagine this scenario: you have a personal assistant agent. You tell it: "Buy me a birthday gift, budget $100, delivered by tomorrow."

想象一个场景：你有一个个人助理智能体。你告诉它："帮我买生日礼物，预算 100 美元，明天送达"。

The agent starts working. It might need to:

智能体开始工作。它可能需要：

Every step involves a transaction. The agent needs to be able to pay for these services autonomously, instead of running back to you every time asking: "Can I spend $0.04 to query this data?"

每一步都涉及交易。智能体需要能够自主支付这些服务，不用每次都跑来问你："我可以花 0.04 美元查询这个数据吗？"

Live Demo: Agent Autonomous Shopping 真实演示：智能体自主购物

The November 2024 Breakthrough 2024年11月的突破

Scott shared a demo KITE AI released last year:

Scott 分享了 KITE AI 去年发布的一个演示：

"We released this last November... The agent browses the menu, selects options and makes decisions, adds relevant items, checks out and completes payment. No human approval needed."

"我们在去年十一月发布了这个……智能体去浏览菜单，选择选项并做出决定，添加相关商品，结帐并完成付款。无需人工批准。"

Note the last phrase: no human approval needed.

注意最后一句：无需人工批准。

This is the critical breakthrough. The agent doesn't just find a product for you, show it to you, and wait for you to click "confirm purchase." It actually completes the entire process: browsing, deciding, checking out, paying.

这是关键的突破。智能体不只是帮你找到产品，展示给你看，等你点击"确认购买"。它真的完成了整个流程：浏览、决策、结帐、支付。

The Value Proposition of KITE AI KITE AI 的价值

This demo reveals KITE AI's true value proposition: letting agents act fully autonomously within user-authorized boundaries.

这个演示展示了 KITE AI 真正的价值主张：让智能体在你授权的范围内完全自主行动。

You set the budget ($100), the time limit (delivered by tomorrow), and the goal (birthday gift). Within these constraints, the agent can freely decide and execute without needing to come back for confirmation at every step.

你设定了预算（100 美元）、时间限制（明天送达）、目标（生日礼物）。在这些约束条件内，智能体可以自由决策和执行，不需要每一步都回来确认。

This is the shift from "help me do it" to "do it for me."

这就是从"帮我做"到"替我做"的转变。

Key Breakthrough
关键突破

Agents go from information retrievers to task executors, from passive tools to active proxies. The shift from "help me find" to "do it for me" represents the full evolution of agent capability.

智能体从信息检索者变成任务执行者，从被动工具变成主动代理，从"帮我查"进化到"替我做"，这是智能体能力的完整进化。

KITE AI's Technical Architecture KITE AI 的技术架构

Three-Layer Service System 三层服务体系

Scott explained the core services KITE AI provides:

Scott 解释了 KITE AI 提供的核心服务：

"KITE provides three services: payment, identity, authorization... Based on KITE and the KITE 01 blockchain, these services are zero-fee."

"KITE 提供三种服务：支付、身份、授权……基于 KITE 和 KITE 01 区块链，这类服务，零手续费。"

Agent Identity

智能体身份

Every agent gets an independent on-chain ID. Unlike platform-issued IDs from OpenAI or Anthropic, this is a decentralized identity owned by the agent itself.

每个智能体都有独立的链上 ID。与 OpenAI 或 Anthropic 发放的平台 ID 不同，这是去中心化的、智能体自己拥有的身份。

Just like you have your own government-issued ID that follows you regardless of where you work, agents should have the same. Their identity belongs to them.

就像你有自己的身份证，不管你在哪家公司工作，身份证都是你的。智能体也应该如此。

Authorization Mechanism

授权机制

Users can define the scope of an agent's permissions:

用户可以设定智能体的权限范围：

These permissions are written on the blockchain, verifiable and tamper-proof.

这些权限写在区块链上，可验证、不可篡改。

Payment Settlement

支付结算

Built on the KITE 01 blockchain: zero fees, instant settlement. Agents can trade directly with each other without going through a third-party payment platform.

基于 KITE 01 区块链，零手续费，即时结算。智能体之间可以直接交易，不需要通过第三方支付平台。

How KITE AI Differs From Traditional Solutions 与传统方案的差异

Scott emphasized what makes KITE AI unique:

Scott 强调了 KITE AI 的独特之处：

"There is one thing that makes us fundamentally different from any existing solution... Every user will have an ID, every agent will have an ID... We don't do this platform-based ID. The ID is backed by blockchain, open to others, for large-scale distribution, all products."

"有一件事让我们与任何现有解决方案根本不同……每个用户都有一个 ID，每个智能体都会有一个 ID……我们不做这种基于平台的 ID。ID 由区块链支持，对他人开放，用于大规模分发，所有产品。"

Traditional solutions tie identity to a platform. Your OpenAI agent has an OpenAI ID, your Anthropic agent has an Anthropic ID, and they don't interoperate.

传统方案把身份绑定在平台上。你的 OpenAI 智能体有一个 OpenAI ID，你的 Anthropic 智能体有一个 Anthropic ID，它们不互通。

KITE AI provides an open standard. Any agent, regardless of which platform it runs on, can use KITE's identity and payment system.

KITE AI 提供的是一个开放标准。任何智能体，不管在哪个平台运行，都可以使用 KITE 的身份和支付系统。

Three-Layer Solution
三层解决方案

Identity: every agent gets an independent on-chain ID. Authorization: users set permissions, agents act autonomously within bounds. Payment: zero-fee, instant-settlement blockchain system. All built on an open standard any developer can integrate.

身份：每个智能体都有独立的链上 ID。授权：用户设定权限，智能体在范围内自主行动。支付：零手续费、即时结算的区块链系统。全部基于开放标准，任何开发者都可以集成。

Practical Use Case 实际应用案例

Automated Birthday Gift Purchase 自动生日礼物购买

Scott used a concrete scenario to illustrate the entire flow:

Scott 用一个具体场景说明了整个流程：

"Say I want to buy a birthday gift. My account will be debited $100... The OpenClaw agent will browse various platforms, log into different websites... It will compare different options, taking into account the time of day... You don't need to touch any product."

"比如我想买生日礼物，我的帐户会被扣 100 美元……OpenClaw 智能体会浏览各个平台，登录不同的网站……它会比较不同的选项，因为考虑到一天中的时间……你不需要接触任何产品。"

The user only needs to give a high-level instruction: "Buy me a birthday gift, budget $100, delivered by tomorrow."

用户只需要给出高层指令："帮我买生日礼物，预算 100 美元，明天送达"。

The agent starts analyzing:

智能体开始分析：

Then it visits multiple e-commerce platforms, comparing prices, reviews, and delivery times. It might discover a $95 option on Amazon that can be delivered tomorrow, and autonomously completes the payment.

然后它访问多个电商平台，比较价格、评价、配送时间。它可能发现 Amazon 有一个 95 美元的选项可以明天送达，于是自主完成支付。

The user doesn't need to intervene at all. The gift arrives the next day. Task complete.

整个过程用户不需要干预。第二天礼物送到，任务完成。

Key Breakthroughs 关键突破

This case looks simple, but it breaks through several critical barriers:

这个案例看起来简单，但它突破了几个关键障碍：

Security and Control 安全性和控制

Users Still Control Everything 用户仍然掌控一切

Although agents can trade autonomously, all permissions are explicitly set by the user.

虽然智能体可以自主交易，但所有权限都由用户明确设定。

Authorization parameters might include:

授权参数可能包括：

Design Philosophy 设计哲学

This is a delicate balance: giving agents enough autonomy to complete tasks, while maintaining the user's ultimate control.

这是一个微妙的平衡：给智能体足够的自主权去完成任务，但保持用户的最终控制权。

It's like giving an employee a company credit card with a set spending limit and usage scope. The employee can make autonomous decisions within the defined boundaries, but cannot exceed them.

就像你给一个员工一张公司信用卡，设定了额度和使用范围。员工可以在范围内自主决策，但不能超出界限。

Agents work the same way.

智能体也是如此。

The Free Economy Between Agents 智能体间的自由经济

A New Market 一个新的市场

Scott described the future of the agent economy:

Scott 描述了智能体经济的未来场景：

"Agent to agent commerce... When agents start trading online, a new agent economy is born. The agents can buy data, services, and computation."

"Agent to agent commerce... 当智能体开始在线交易，一个新的智能体经济就诞生了。智能体可以购买数据、服务和计算资源。"

Imagine your personal assistant agent is helping you prepare a market analysis report. It needs:

想象你的个人助理智能体正在帮你准备一份市场分析报告。它需要：

Market data: It connects to an Alpha AI agent, purchasing the latest market intelligence at $0.04 per query.

市场数据：它连接到 Alpha AI 智能体，购买最新的市场情报，支付 0.04 美元每次查询。

Content creation: It contacts a specialized content creation agent, commissioning summaries at $5 per article.

内容创作：它联系一个专门的内容创作智能体，委托撰写摘要，支付 5 美元每篇。

Data processing: It calls a specialized data analysis agent, paying $2 for deep analysis.

数据处理：它调用一个专门的数据分析智能体，支付 2 美元进行深度分析。

All these transactions are completed within seconds, with no human intervention. Your agent completed the entire task autonomously within your authorized budget.

所有这些交易都在几秒钟内完成，无需人工干预。你的智能体在你授权的预算内，自主完成了整个任务。

Key Characteristics 关键特点

This agent economy has several important characteristics:

这个智能体经济有几个重要特点：

From Tool to Teammate 从工具到队友

Scott's talk revealed a deeper transformation:

Scott 的演讲揭示了一个更深层的转变：

The Paradigm Shift 范式转变

Without KITE:

没有 KITE 之前：

"Find me the cheapest flight." The agent replies: "Found it, here's the link, go buy it yourself." Then you still have to manually open the website, fill in forms, and pay.

"帮我找最便宜的航班。"智能体回复："找到了，这是链接，你去买吧。"然后你还是要手动打开网站，填表，付款。

With KITE:

有 KITE 之后：

"Buy me the cheapest flight to [destination]." The agent automatically searches, compares, purchases, and confirms. You receive a "completed" notification.

"帮我买到[目的地]最便宜的航班。"智能体自动搜索、比较、购买、确认。你收到"已完成"通知。

True Economic Participants 真正的经济参与者

When agents can trade autonomously, they become true economic participants. They can:

当智能体可以自主交易时，它们成为真正的经济参与者。它们可以：

This opens entirely new possibilities.

这开启了全新的可能性。

The KITE Ecosystem KITE 生态系统

Three Core Components 三个核心组件

KITE Protocol

KITE Protocol

An open standard for agent identity and authorization. Any developer can integrate it, any agent can use it.

智能体身份和授权的开放标准。任何开发者都可以集成，任何智能体都可以使用。

KITE 01 Blockchain

KITE 01 Blockchain

A blockchain optimized specifically for agent transactions. Zero fees, high-speed settlement, designed for micropayments.

专为智能体交易优化的区块链。零手续费、高速结算、为微支付设计。

KITE SDK

KITE SDK

Developer tools that let agent systems easily integrate KITE's services. Supports multiple languages and frameworks.

开发者工具，让智能体系统轻松集成 KITE 的服务。支持多种语言和框架。

The Power of Open Standards 开放标准的力量

Scott emphasized that KITE is not a closed platform:

Scott 强调 KITE 不是一个封闭平台：

"The ID is backed by blockchain, open to others, for large-scale distribution, all products."

"ID 由区块链支持，对他人开放，用于大规模分发，所有产品。"

This means any developer can build services on top of KITE, and any agent can use this identity system.

这意味着任何开发者都可以基于 KITE 构建服务，任何智能体都可以使用这个身份系统。

It's like the internet's HTTP protocol: anyone can use it, anyone can build services on top of it.

这就像互联网的 HTTP 协议，任何人都可以使用，任何人都可以在上面构建服务。

Why Now Is the Critical Moment 为什么现在是关键时刻

AI capability is ready. From last August to December, AI's capabilities leapt from 30% to surpassing senior engineer level. This breakthrough has already happened.

AI 能力已经到位。从去年 8 月到 12 月，AI 的能力从 30% 跨越到超越 Senior 工程师水平。这个突破已经发生。

Market size is clear. A $240 billion agent economy market will form over the next 10 years. This is a visible trend.

市场规模清晰。2400 亿美元的智能体经济市场在未来 10 年内会形成。这是可见的趋势。

Infrastructure is the bottleneck. The only missing piece is infrastructure. KITE AI is building this critical puzzle piece.

基础设施是瓶颈。唯一缺少的是基础设施。KITE AI 正在构建这个关键拼图。

When the infrastructure is in place, when agents can trade freely, the entire agent economy will explode.

当基础设施到位，当智能体可以自由交易，整个智能体经济就会爆发。

Key Takeaways 核心要点总结

Internet Evolution
互联网的演变

From designed for desktop users, to designed for mobile users, to now needing to be designed for agents. Every era needs its own matching infrastructure.

从为桌面用户设计，到为移动用户设计，现在需要为智能体设计。每个时代都需要配套的基础设施。

AI Capability Breakthrough
AI 能力的突破

AI has evolved from an assistive tool to being capable of independently completing complex tasks. The bottleneck is now in the infrastructure.

AI 已经从辅助工具进化到可以独立完成复杂任务。瓶颈在基础设施。

Old Infrastructure Barriers
旧基础设施的障碍

CAPTCHA, UI, and credit card systems were all designed for humans, becoming barriers for agents. New identity, authorization, and payment systems are needed.

CAPTCHA、UI、信用卡系统都是为人类设计的，成为智能体的障碍。需要新的身份、授权、支付系统。

Birth of the Agent Economy
智能体经济的诞生

When agents can trade autonomously, they become true economic participants. A $240 billion market is forming.

当智能体可以自主交易，它们成为真正的经济参与者。2400 亿美元的市场正在形成。

From Tool to Teammate
从工具到队友

Agents evolve from "help me find" to "do it for me." This is a paradigm shift, not just a feature upgrade.

智能体从「帮我查」进化到「替我做」。这是范式转变，远超功能升级。

The Key Insight 关键洞察

One core insight Scott emphasized repeatedly throughout his talk:

Scott 在演讲中反复强调的一个核心洞察：

"The question is not whether AI can do the work in the first place, but whether the internet allows it to do so, and whether the payment system allows it to do so."

"问题不在于 AI 能否首先完成工作，而在于互联网是否允许它这样做，以及支付系统是否允许它这样做。"

AI is already smart enough. The technical capability is there. What's needed now is matching infrastructure.

AI 已经足够聪明，技术能力已经到位。现在需要的是基础设施的配套。

It's like 20 years ago: we had broadband internet but no payment systems, so e-commerce couldn't develop. It wasn't until Alipay, PayPal, and other payment infrastructure emerged that e-commerce truly exploded.

就像 20 年前，我们有了宽带网络，但没有支付系统，电商无法发展。直到支付宝、PayPal 这些支付基础设施出现，电商才真正爆发。

The situation today is similar. AI agents are already powerful enough, but they lack identity systems, authorization mechanisms, and payment tools. KITE AI is building this critical infrastructure layer.

现在的情况类似。AI 智能体已经足够强大，但它们缺少身份系统、授权机制、支付工具。KITE AI 正在构建这个关键的基础设施层。

When this infrastructure is in place, when agents can freely prove their identity, obtain authorization, and complete payments, the entire agent economy will explode just like e-commerce did after Alipay emerged.

当这个基础设施到位，当智能体可以自由地证明身份、获得授权、完成支付，整个智能体经济就会像电商在支付宝出现后那样爆发。

What This Means for Different Roles 对不同角色的意义

Entrepreneurs 创业者

Your agents can autonomously handle business transactions, reducing manual intervention and improving efficiency. Imagine your customer service agent can autonomously process refunds, your sales agent can autonomously offer discounts to clients, operating 24/7 within the rules you've set.

你的智能体可以自主处理业务交易，减少人工干预，提高效率。想象你的客服智能体可以自主处理退款，你的销售智能体可以自主给客户折扣，在你设定的规则范围内 24/7 运营。

Developers 开发者

The KITE SDK offers new integration opportunities. You can build agent services and earn revenue. A specialized data analysis agent, a content creation agent, a market intelligence agent: all can provide services and charge fees in the agent economy.

KITE SDK 提供了新的集成机会。你可以构建智能体服务并获得收入。一个专门的数据分析智能体、一个内容创作智能体、一个市场情报智能体，都可以在智能体经济中提供服务并收费。

Investors 投资者

A $240 billion emerging market, infrastructure-layer investment opportunities, and first-mover advantage for early entrants. This is the core infrastructure of the next internet era.

2400 亿美元的新兴市场，基础设施层的投资机会，早期进入的先发优势。这是下一个互联网时代的核心基础设施。

Closing Thoughts 结语

The agent economy is no longer a future concept. It is happening right now.

智能体经济已经是现在进行时。

AI's capability has crossed the critical threshold. Market size is clearly visible. The only missing piece is infrastructure.

AI 的能力已经突破临界点。市场规模清晰可见。唯一缺少的是基础设施。

KITE AI is building that infrastructure: identity cards for agents, authorization systems for agents, payment tools for agents.

KITE AI 正在构建这个基础设施：智能体的身份证、智能体的授权系统、智能体的支付工具。

When agents can prove "who I am," can demonstrate "what I am authorized to do," and can complete "payments and collections," they become true economic participants.

当智能体可以证明"我是谁"，可以展示"我被授权做什么"，可以完成"支付和收款"，它们就成为真正的经济参与者。

This isn't science fiction, this is a reality already in motion. Scott demonstrated autonomous agent shopping back in November last year. The technology is ready.

这不是科幻小说，这是正在发生的现实。Scott 在去年 11 月就演示了智能体自主购物。技术已经准备好了。

The remaining question is: are you ready to let your agents become independent economic participants?

剩下的问题是：你准备好让你的智能体成为独立的经济参与者了吗？