AI代理代幣成為加密市場新熱點，老牌AI概念代幣遇冷

1月7日在美國CES 2025上，英偉達創辦人、AI產業領導者黃仁勳表示：「AI Agent有望成為下一個機器人產業，市場規模達數兆美元」。

At CES 2025 in the United States on January 7, Jensen Huang, founder of Nvidia and a leading figure in the AI industry, stated: "AI Agents are expected to become the next robotics industry, with a market scale of trillions of dollars." Although the audience at the event reacted lukewarmly to this bold claim, the crypto industry has long since bought into AI Agents—tokens related to AI Agents such as VIRTUAL, ai16z, and swarms have become some of the few focal points of attention in the recent market, and their price trends have performed notably better than the overall market; in contrast, many established AI concept projects, such as FET, WLD, and ARKM, have recently appeared somewhat desolate, with their price performances significantly down from their highs.

1月7日在美國CES 2025上，人工智慧產業領軍人物、英偉達創始人黃仁勳表示：“AI Agent有望成為下一個機器人產業，市場規模達數萬億美元。”儘管現場觀眾對這一大膽的說法反應冷淡，但加密行業早已開始買入 AI Agent——VIRTUAL、ai16z、swarms 等與 AI Agent 相關的代幣成為了近期為數不多的關注焦點之一。其價格走勢明顯優於整體市場；相較之下，許多成熟的AI概念項目，如FET、WLD、ARKM等，近期卻顯得有些慘淡，性價比較高點大幅下滑。

Odaily Planet Daily will conduct a comparative analysis of new and old AI concept tokens in this article, providing a glimpse into market trends.

Odaily星球日報將在本文中對新舊AI概念代幣進行比較分析，窺探市場趨勢。

Status of New and Old AI Concept Tokens: AI Agent Tokens in High Demand, AI Concept Tokens Encountering Coldness

新舊AI概念代幣現況：AI代理代幣需求旺盛，AI概念代幣遇冷

From a market perspective, AI Agent tokens represented by VIRTUAL, ai16z, and swarms are undoubtedly the most eye-catching projects at present. Compared to AI concept tokens like FET, WLD, and ARKM, the former not only integrates the AI concept but also presents a more grand narrative, lower participation barriers, and greater expected returns. Upon closer examination, I personally believe the reasons mainly include the following aspects:

從市場角度來看，以VIRTUAL、ai16z、swarms為代表的AI Agent代幣無疑是目前最受矚目的項目。相較於FET、WLD、ARKM等AI概念代幣，前者不僅融合了AI概念，而且呈現出更宏大的敘事性、更低的參與門檻、更高的預期回報。仔細分析，我個人認為原因主要有以下幾個面向：

Market Inertia of Favoring the New Over the Old: New Cars Attract More Attention, Old Cars Are Too Heavy

推新換舊的市場慣性：​​新車更受關注，舊車太重

As an industry that operates 24/7, the cryptocurrency market's enthusiasm for new hotspots and technologies can be said to be a common trait, leading to the practice of "favoring the new over the old" in token trading: for market retail investors and the crypto community, compared to the "old AI coins" that have a large number of buyers, concentrated chip distribution, and a wide range of trapped groups, the new coins related to AI Agents are undoubtedly more attractive—lower entry barriers, whether in terms of the price of a single token or the overall market capitalization, provide more opportunities to get involved with AI Agent tokens.

作為一個 24/7 運作的行業，加密貨幣市場對新熱點、新技術的熱情可以說是一個共同的特質，導致代幣交易出現「推陳出新」的做法：對於市場散戶和投資者來說，加密社區中，相比於購買者數量多、籌碼分佈集中、被困群體廣泛的“老AI幣”，與AI特工相關的新幣無疑更具吸引力——進入門檻更低，無論是從單個代幣價格或整體市值的變化，為參與AI Agent 代幣提供更多機會。

More Attractive Narratives: AI Agents Are Far More Engaging Than "Riding the AI Concept"

更有吸引力的敘述：人工智慧代理比「駕馭人工智慧概念」更有吸引力

From the narrative perspective, which is the most discussed in the cryptocurrency industry, events such as issuing tokens, trading tokens, and interacting with fans on social media related to AI Agents are undoubtedly more interesting, fun, and conducive to discussion than trying to "hard shape" a serious project to ride the AI concept.

從加密貨幣行業討論最多的敘事角度來看，與AI Agent相關的發行代幣、交易代幣、在社交媒體上與粉絲互動等事件無疑比試圖「更有趣、更好玩、更有利於討論」。 Hard Shape」是一個利用人工智慧概念的嚴肅計畫。

With the emergence of Truth Terminal (GOAT), the cryptocurrency industry has essentially opened a Pandora's box for AI Agents, liberating the power of AI in ways that many had not previously anticipated, endowing cryptocurrency with a stronger technological attribute, futuristic quality, and a narrative with greater imaginative space—AI Agents in the crypto field can do more than just help humans produce content; they also have the potential to directly participate in human social and economic activities and currency transactions.

隨著真相終端（GOAT）的出現，加密貨幣產業本質上為AI智能體打開了潘朵拉魔盒，以許多人之前沒有想到的方式解放了AI的力量，賦予了加密貨幣更強的科技屬性、未來品質和可操作性。它們還有可能直接參與人類社會經濟活動和貨幣交易。

Differences in Project Roadmaps: Teams, Technologies, and Development Directions Vary Greatly

專案路線差異：團隊、技術、發展方向差異大

In terms of project development roadmaps, the current AI Agent and token projects exhibit certain differences compared to the established AI concept token projects.

從專案發展路線來看，目前的AI Agent和代幣專案與已建立的AI概念代幣專案相比存在一定的差異。

On the team level, AI Agent and token projects are often backed by independent developers in their early stages. On one hand, AI and AI Agents provide developers and even ordinary people with a lower-cost, lower-barrier development path; on the other hand, relatively independent developers can respond more quickly to market hotspots and adjust project directions based on market feedback, with lower decision-making and optimization iteration costs, which aligns more with the "grassroots" positioning. In contrast, established AI concept projects often start with mature teams that have grand missions and visions, aiming to attract high-value investments through grand narratives, with project development measured in years and being more accountable to investors rather than originating from the community. For example, FET (Fetch.ai) is a typical case, having raised $5 million in March 2021 and $40 million in March 2023, and being the second crowdfunding project issued through Binance IEO, which can be seen as a product of top-tier resources.

在團隊層面，AI Agent 和代幣專案在早期階段往往得到獨立開發人員的支持。一方面，AI和AI Agent為開發者甚至一般人提供了一條成本更低、門檻更低的開發路徑；另一方面，相對獨立的開發者可以更快地響應市場熱點並根據市場反饋調整專案方向，決策和優化迭代成本更低，這更符合「草根」定位。相較之下，成熟的人工智慧概念專案往往始於具有宏偉使命和願景的成熟團隊，旨在透過宏大的敘事吸引高價值投資，專案開發以年為單位，對投資者更加負責，而不是來源自社區。例如，FET（Fetch.ai）就是一個典型案例，2021年3月籌集了500萬美元，2023年3月籌集了4000萬美元，是第二個透過幣安IEO發行的眾籌項目，可以看作是頂級的產品。

On the technology level, previous AI concept token projects tended to view technology as a tool and packaging, emphasizing practical use cases and user scenarios, but the actual business implementation was often far from AI, creating a strong sense of distance from users; whereas the current AI Agent and token projects are relatively more straightforward, with their technological origins rooted in the AI technology that has emerged after a technological explosion, making the understanding barrier lower and the technological extensibility stronger, allowing users to personally engage in practical operations, with user education on technology being more direct and in-depth.

在技​​術層面，以往的AI概念代幣專案傾向於將技術視為工具和包裝，強調實際用例和用戶場景，但實際業務落地往往與AI相去甚遠，與用戶產生強烈的距離感；而目前的AI Agent和Token專案相對來說更加簡單，其技術根源植根於技術爆發後出現的AI技術，理解門檻更低，技術擴展性更強，可以讓用戶親自參與實際操作，用戶的技術教育更加直接和深入。

In terms of development direction, established AI concept token projects emphasize building the future digital economy with AI, which sounds more like "pie in the sky,"

從發展方向來看，現有的AI概念代幣計畫強調用AI建構未來數位經濟，聽起來更像是「天上掉餡餅」。