AI代理：代理经济的万亿美元机会

AI和区块链的集成正在创建开创性的新技术类别：AI代理。它们是能够商业，协作和创造力的自主，数字实体，而无需人工干预。

AI agents are a new type of technology that is being integrated with AI and blockchain. They are autonomous, digital entities that are capable of commerce, collaboration, and creativity without any human intervention. By 2026, AI agents will be widely used in various industries, handling tasks that most businesses have not yet considered automating. When combined with blockchain technology, they are set to become the foundation of a new digital economy.

AI代理是一种与AI和区块链集成的新型技术。它们是能够在没有任何人类干预的情况下进行商业，协作和创造力的自主数字实体。到2026年，AI代理商将被广泛用于各种行业，处理大多数企业尚未考虑自动化的任务。当与区块链技术结合使用时，它们将成为新的数字经济的基础。

Ignoring this trend is akin to ignoring the early days of the internet. If you haven't paid attention, now is the time to do so.

忽略这种趋势类似于忽略互联网的早期。如果您没有注意，现在是时候这样做了。

With AI driving rapid content generation, the world will generate 181 zettabytes of data annually by 2025. This massive influx of data poses a significant challenge for both businesses and consumers: How do we navigate this sea of information, filtering out what matters and taking action on it? How do we make faster, smarter decisions both online and offline to stay competitive and informed?

随着AI的快速内容产生，到2025年，世界将每年生成181个Zettabytes数据。这种大量数据涌入对企业和消费者都带来了重大挑战：我们如何导航这一信息海洋，过滤些重要并采取行动采取行动在上面？我们如何在网上和离线做出更快，更智能的决定以保持竞争力和知情？

This is where AI agents come into play.

这是AI代理商发挥作用的地方。

They represent a substantial leap from traditional AI tools, which are largely reactive, requiring explicit prompts and operating within narrow parameters. In contrast, AI agents are proactive. They learn, reason, and act autonomously, capable of breaking down complex tasks, prioritizing them, and adapting strategies in real-time.

它们与传统的AI工具相比，这在很大程度上是反应性的，需要明确的提示并在狭窄的参数内运行。相反，AI代理是主动的。他们可以自主地学习，推理和行动，能够分解复杂的任务，优先考虑这些任务以及实时调整策略。

AI agents are a product of our time – poised to become the next digital interface driving productivity and revenue, ready to work 24/7.

AI代理是我们时代的产物 - 准备成为下一个数字界面驱动生产力和收入，准备工作24/7。

Consider Auto-GPT, an early prototype that autonomously creates marketing campaigns, or JPMorgan's COiN, which reviews thousands of legal contracts daily—a task that once required 300,000 labor hours annually.

考虑自动创建营销活动的早期原型Auto-GPT，或JPMorgan的硬币，每天都会审查成千上万的法律合同，这项任务曾经每年需要300,000个劳动时间。

Sales: AI agents are transforming sales processes by automating lead generation, qualifying prospects, personalizing customer interactions, and even closing deals (cf. Artisan, 11x, etc.)

销售：AI代理人通过自动化潜在客户生成，合格的潜在客户，个性化客户互动，甚至结束交易来改变销售流程（参见Artisan，11倍等）

Marketing & Customer service: AI agents are automating content creation, personalizing customer experiences, optimizing campaigns, and providing data-driven insights (cf. Aisera, Intercom, Sierra, etc.)

营销和客户服务：AI代理人正在自动化内容创建，个性化客户体验，优化广告系列并提供数据驱动的见解（参见Aisera，Intercom，Sierra等）

Coding & Software development: AI agents are rapidly transforming software development, with code copilots leading the charge in adoption (cf. Cursor, Codeium, etc.)

编码和软件开发：AI代理正在迅速转换软件开发，代码副驾驶领导了采用的指控（参见光标，地理规定等）

Ops, Workflow Automation & BI: AI agents transform knowledge management by accessing data silos, enabling unified semantic search across emails, messengers, and documents (cf. Glean, Beam AI, etc.)

操作，工作流程自动化和BI：AI代理通过访问数据筒仓，启用跨电子邮件，使者和文档的统一语义搜索来改变知识管理（参见GLEAN，BEAM AI等）

These agents aren't just enhancing workflows; they're redefining them.

这些代理不仅增强了工作流程；他们正在重新定义它们。

Big tech and big AI have launched AI agents or announced plans to do so. Platforms emerge to build AI agent workforces such as coding assistants, researchers, marketers, or services agents:

Big Tech和Big AI已经启动了AI代理商或宣布了这样做的计划。平台出现了，以建立AI代理员工，例如编码助理，研究人员，营销人员或服务代理商：

Salesforce recently announced version 2 of “Agentforce” with agents that remember, collaborate, and deliver with short/long-term memory, seamless handoffs, and secure teamwork.

Salesforce最近宣布了“ AgentForce”版本的2版，这些代理商以短/长期记忆，无缝的交接和安全的团队合作来记住，合作和交付。

Google launched its “Vertex AI” platform in 2021, an enterprise development platform for building and using generative AI and agents, counting 300+ corporate use cases already.

Google于2021年启动了其“ Vertex AI”平台，这是一个用于构建和使用生成AI和代理商的企业开发平台，已经计算了300多个公司用例。

OpenAI just released ChatGPT “Operator”, an agent capable of executing tasks such as booking a holiday and assisting users autonomously.

Openai刚刚发布了Chatgpt“ Operator”，该代理商能够执行诸如预订假期和自主帮助用户之类的任务。

At CES in January, NVIDIA CEO Jensen Huang didn't mince words: “AI agents are a multi-trillion dollar opportunity.”

NVIDIA首席执行官詹森·黄（Jensen Huang）在CES上并没有说：“ AI代理人是一个数万亿美元的机会。”

In Web3, frameworks, launchpads, payment rails, and applications are emerging, accumulating billions in value:

在Web3中，框架，发射台，付款导轨和应用程序正在出现，积累了数十亿美元的价值：

Virtuals Protocol, one of the leading marketplaces for on-chain agents, launched over 15,000+ AI agents in six months, generating $45M in fees and engaging 670,000 token holders.

Virtuals协议是链上代理商的领先市场之一，在六个月内推出了15,000多名AI代理商，产生了4500万美元的费用，并吸引了670,000个令牌持有者。

ElizaOS, a crypto-compatible agent framework developed by ai16z, has exploded in popularity on Github, accumulating more than 13,500 stars. It's now the most popular open source project in the world.

由AI16Z开发的加密兼容代理框架Elizaos在Github上爆炸了，积累了13,500多颗恒星。现在是世界上最受欢迎的开源项目。

Crypto-powered AI agents are already making waves:

加密动力的AI代理已经在引起海浪：

Truth Terminal: This memetic AI agent grew the $GOAT token to a 1 billion market cap by gamifying participation and fostering belief systems on social media.

真相终端：这个模因AI特工通过在社交媒体上进行游戏参与并促进信仰体系，将$山羊代币增长到了10亿个市值。

AIxBT: A crypto data aggregator with over 450,000 X followers, leveraging AI to provide market intelligence and investment insights.

AIXBT：具有超过450,000 X关注者的加密数据聚合器，利用AI提供市场情报和投资见解。

These agents are built on open-source frameworks or closed-sourced “launchpads” that allow users to easily create “tokenized” agents.

这些代理是建立在开源框架或封闭式的“启动板”上的，这些“发射台”允许用户轻松创建“令牌化”代理。

Why tokens? Tokens in many AI-agent frameworks serve as technical infrastructure and economic ecosystem, incentivizing development, fund ongoing operations, and aligning stakeholder interests within a decentralized framework.

为什么要令牌？许多AI-Agent框架中的代币充当技术基础设施和经济生态系统，激励发展，持续的运营以及在分散框架内使利益相关者利益保持一致。

These early experiments will look primitive to what's yet to come as blockchain and AI continue to converge. Maja Vujinovic, an early investor in blockchain and AI, and CEO of OGroup, says:

这些早期的实验将对区块链和AI继续融合而尚未发生的事情看起来很原始。区块链和AI的早期投资者兼Ogroup首席执行官Maja Vujinovic说：

"AI and crypto: A ‘couple’ that simply works better together. Crypto enables seamless payments for the computing power

“ AI和Crypto：一对'''，简单地一起工作。加密货币可以为计算能力提供无缝付款