AI代理：代理經濟的萬億美元機會

AI和區塊鏈的集成正在創建開創性的新技術類別：AI代理。它們是能夠商業，協作和創造力的自主，數字實體，而無需人工干預。

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代理是一種與AI和區塊鏈集成的新型技術。它們是能夠在沒有任何人類干預的情況下進行商業，協作和創造力的自主數字實體。到2026年，AI代理商將被廣泛用於各種行業，處理大多數企業尚未考慮自動化的任務。當與區塊鏈技術結合使用時，它們將成為新的數字經濟的基礎。

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.

忽略這種趨勢類似於忽略互聯網的早期。如果您沒有註意，現在是時候這樣做了。

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?

隨著AI的快速內容產生，到2025年，世界將每年生成181個Zettabytes數據。這種大量數據湧入對企業和消費者都帶來了重大挑戰：我們如何導航這一信息海洋，過濾些重要並採取行動採取行動在上面？我們如何在網上和離線做出更快，更智能的決定以保持競爭力和知情？

This is where AI agents come into play.

這是AI代理商發揮作用的地方。

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.

它們與傳統的AI工具相比，這在很大程度上是反應性的，需要明確的提示並在狹窄的參數內運行。相反，AI代理是主動的。他們可以自主地學習，推理和行動，能夠分解複雜的任務，優先考慮這些任務以及實時調整策略。

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代理是我們時代的產物 - 準備成為下一個數字界面驅動生產力和收入，準備工作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.

考慮自動創建營銷活動的早期原型Auto-GPT，或JPMorgan的硬幣，每天都會審查成千上萬的法律合同 - 這項任務曾經每年需要300,000個勞動時間。

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

銷售：AI代理人通過自動化潛在客戶生成，合格的潛在客戶，個性化客戶互動，甚至結束交易來改變銷售流程（參見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.)

營銷和客戶服務：AI代理人正在自動化內容創建，個性化客戶體驗，優化廣告系列並提供數據驅動的見解（參見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.)

編碼和軟件開發：AI代理正在迅速轉換軟件開發，代碼副駕駛領導了採用的指控（參見光標，地理規定等）

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，工作流程自動化和BI：AI代理通過訪問數據筒倉，啟用跨電子郵件，使者和文檔的統一語義搜索來改變知識管理（參見GLEAN，BEAM AI等）

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

這些代理不僅增強了工作流程；他們正在重新定義它們。

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已經啟動了AI代理商或宣布了這樣做的計劃。平台出現了，以建立AI代理員工，例如編碼助理，研究人員，營銷人員或服務代理商：

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，這些代理商以短/長期記憶，無縫的交接和安全的團隊合作來記住，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於2021年啟動了其“ Vertex AI”平台，這是一個用於構建和使用生成AI和代理商的企業開發平台，已經計算了300多個公司用例。

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

Openai剛剛發布了Chatgpt“ Operator”，該代理商能夠執行諸如預訂假期和自主幫助用戶之類的任務。

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

NVIDIA首席執行官詹森·黃（Jensen Huang）在CES上並沒有說：“ AI代理人是一個數万億美元的機會。”

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

在Web3中，框架，發射台，付款導軌和應用程序正在出現，積累了數十億美元的價值：

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協議是鏈上代理商的領先市場之一，在六個月內推出了15,000多名AI代理商，產生了4500萬美元的費用，並吸引了670,000個令牌持有者。

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開發的加密兼容代理框架Elizaos在Github上爆炸了，積累了13,500多顆恆星。現在是世界上最受歡迎的開源項目。

Crypto-powered AI agents are already making waves:

加密動力的AI代理已經在引起海浪：

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.

真相終端：這個模因AI特工通過在社交媒體上進行遊戲參與並促進信仰體系，將$山羊代幣增長到了10億個市值。

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

AIXBT：具有超過450,000 X關注者的加密數據聚合器，利用AI提供市場情報和投資見解。

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

這些代理是建立在開源框架或封閉式的“啟動板”上的，這些“發射台”允許用戶輕鬆創建“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.

為什麼要令牌？許多AI-Agent框架中的代幣充當技術基礎設施和經濟生態系統，激勵發展，持續的運營以及在分散框架內使利益相關者利益保持一致。

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:

這些早期的實驗將對區塊鍊和AI繼續融合而尚未發生的事情看起來很原始。區塊鍊和AI的早期投資者兼Ogroup首席執行官Maja Vujinovic說：

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

“ AI和Crypto：一對'''，簡單地一起工作。加密貨幣可以為計算能力提供無縫付款