新舊AI概念代幣：比較分析

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Original｜Odaily Planet Daily

原創｜Odaily星球日報

Author: Wenser

作者：溫瑟

At the CES2025 U.S. Consumer Electronics Show on January 7, Nvidia founder Jensen Huang, a leading figure in the AI industry, said bluntly : "AI Agent is expected to become the next robotics industry, with an industry scale of trillions of dollars." Although the audience at the event had a lukewarm reaction to this bold statement, the crypto industry has already bought in to AI Agents. AI Agent-related tokens such as VIRTUAL, ai16z, and swarms have become one of the few focuses of attention in the market recently, and their price trends are still impressive compared to the broader market. In contrast, a number of old-line AI concept-related projects, such as FET, WLD, and ARKM, have been a little lonely recently, and their prices have fallen sharply compared to their highs.

1月7日的CES2025美國消費電子展上，AI行業領導者英偉達創始人黃仁勳直言：“AI Agent有望成為下一個機器人行業，行業規模達萬億美元。”儘管活動現場的觀眾對這一大膽的聲明反應冷淡，但加密貨幣行業已經接受了人工智慧代理。 VIRTUAL、ai16z、swarms等AI Agent相關代幣成為近期市場為數不多的焦點之一，其價格走勢相比大盤依然令人印象深刻。相較之下，一些老牌AI概念相關項目，如FET、WLD、ARKM等，近期卻顯得有些落寞，價格較高位大幅下跌。

Odaily Planet Daily will conduct a comparative analysis of new and old AI concept tokens in this article to gain a glimpse into the 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，以一窺市場趨勢。

Current status of new and old AI concept coins: AI Agent tokens are popular, while AI concept coins are unpopular

新舊AI概念幣現況：AI代理代幣受歡迎，AI概念幣冷門

From a market perspective, AI Agent tokens represented by VIRTUAL, ai16z, and swarms are undoubtedly the most eye-catching projects at the moment. Compared with AI concept tokens such as FET, WLD, and ARKM, the former not only combines the AI concept, but also has a more ambitious narrative angle, a lower participation threshold, and greater expected returns. The reasons for this are mainly the following:

從市場角度來看，以VIRTUAL、ai16z、swarms為代表的AI Agent代幣無疑是當下最受矚目的項目。與 FET、WLD、ARKM 等 AI 概念代幣相比，前者不僅結合了 AI 概念，而且具有更宏大的敘事角度、更低的參與門檻、更大的預期回報。造成這種情況的原因主要有以下幾點：

Market inertia of buying new cars instead of old ones: new cars are easier to carry, old cars are too heavy

買新車代替舊車的市場慣性：​​新車攜帶方便，舊車太重

As an industry that operates 24/7, the cryptocurrency market’s pursuit of new hot spots and new technologies can be said to be a common industry feature, which has also led to the practice of “speculating on new but not old” tokens: for retail investors and the crypto community, compared with “old AI coins” with a large number of buyers, concentrated distribution of chips, and a large number of locked-in groups, new coins with AI Agent-related concepts are undoubtedly more attractive - the buying threshold is lower, and there are more opportunities to get on board, whether from the perspective of the price of a single token or the overall market value.

作為一個24/7運行的行業，加密貨幣市場追求新熱點、新技術可以說是行業的共同特徵，這也導致了代幣「炒新不炒舊」的做法：對於零售來說對於投資者和加密社群來說，與購買者數量大、籌碼分佈集中、鎖定群體眾多的「老AI幣」相比，帶有AI Agent相關概念的新幣無疑更具吸引力——門檻更低，無論是從單一代幣的價格還是整體市值來看，上船的機會更多。

Narratives are sexier: AI Agents are far more attractive than just “using AI concepts”

敘事更性感：人工智慧代理遠比僅僅「使用人工智慧概念」更有吸引力

From the perspective of the most discussed narrative in the cryptocurrency industry, events such as AI Agent issuing coins, speculating on coins, publishing social media content and interacting with fans are undoubtedly more interesting, more fun and more discussed than doing a serious project to "hard-core" and try to use the AI concept.

從加密貨幣行業討論最多的敘事來看，AI代理髮幣、炒幣、發布社交媒體內容、與粉絲互動等事件無疑比做一個嚴肅的項目“更有趣、更好玩、更受討論”。 ”並嘗試使用AI概念。

After the emergence of Truth Terminal (GOAT), the cryptocurrency industry opened a Pandora's box of AI Agents, liberating the power of AI in a way that many people had not expected before, and endowing cryptocurrency with stronger technological attributes, future attributes, and more imaginative narratives - AI Agents in the encryption field can do more than just help humans produce content, but have the possibility of directly participating in human social and economic activities and currency transactions.

真相終端（GOAT）出現後，加密貨幣產業打開了AI智能體的潘朵拉魔盒，以許多人意想不到的方式解放了AI的力量，並賦予了加密貨幣更強的科技屬性、未來屬性等想像豐富的敘事－加密領域的AI智能體能做的不僅是幫助人類生產內容，還有直接參與人類社會經濟活動和貨幣交易的可能性。

Differences in project routes: teams, technologies, and development directions are very different

專案路線差異：團隊、技術、開發方向差異很大

In terms of project development routes, current AI Agent and token projects also have certain differences compared to previous old AI concept coin projects.

從專案發展路線來看，目前的AI Agent和Token專案與先前的老牌AI概念幣專案相比也存在一定的差異。

At the team level , AI Agent and token projects are often developed by lone developers in their early stages. On the one hand, AI and AI Agent provide developers and even ordinary people with a lower-cost and lower-threshold development path; on the other hand, relatively independent developers can follow up on market hot spots in a more rapid manner and adjust project directions according to market feedback. The decision-making cost and optimization iteration cost are relatively lower. To put it bluntly, it is more in line with the positioning of a "grassroots team"; the old AI concept projects in the past often started with mature teams, with grand missions and visions, and emphasized attracting high-value investments through grand narratives. The project development progress is measured in years, and relatively speaking, it is more responsible to investors rather than originating from the community. FET ( Fetch.ai ) is a typical case. It not only raised US$5 million and US$40 million in March 2021 and March 2023, respectively, but is also the second crowdfunding project issued by Binance IEO. It can be said to be a product of top resources.

在團隊層面，AI Agent 和代幣專案在早期往往是由單獨的開發人員開發的。一方面，AI和AI Agent為開發者甚至一般人提供了更低成本、更低門檻的開發路徑；另一方面，相對獨立的開發人員可以更快速地跟進市場熱點，根據市場回饋調整專案方向。決策成本和最佳化迭代成本相對較低。說穿了，更符合「草根團隊」的定位；過去老的AI概念計畫往往都是從成熟的團隊開始，有著宏大的使命和願景，強調透過宏大的敘事來吸引高價值的投資。專案開發進度以年為單位，相對而言，它對投資者更負責，而不是源自社區。 FET（Fetch.ai）就是一個典型案例。它不僅在2021年3月和2023年3月分別籌集了500萬美元和4000萬美元，也是幣安IEO發行的第二個眾籌項目。可以說是頂級資源的產物。

From a technical perspective , previous AI concept coin-related projects viewed technology more as a tool and packaging, emphasizing practical use cases and user scenarios, but the actual business implementation was far from AI and had a strong sense of distance from users. Today's AI Agent and token projects are relatively simpler and cruder. Their technical origin lies in AI technology after a technological explosion. The threshold for understanding is relatively low, and the technology is more extensible. Users can

從技術角度來看，以往的AI概念幣相關項目更將技術視為一種工具和包裝，強調實際用例和用戶場景，但實際業務落地與AI相去甚遠，與用戶有很強的距離感。現在的AI Agent和代幣項目都相對簡單、粗暴。他們的技術起源在於科技爆炸後的AI技術。理解門檻比較低，技術擴展性更強。使用者可以