【穩定幣新機】阿里巴巴推存款代幣 破解中國穩定幣監管風暴




阿里巴巴開發存款代幣 繞過中國嚴厲穩定幣打壓

阿里巴巴正開發一套以存款代幣為基礎的支付系統,目標是簡化全球商業交易流程,同時配合北京對穩定幣日益嚴格的監管態度。據阿里巴巴高層及相關報道指,這項新舉措反映出中國企業正積極尋求在不觸碰監管紅線的情況下,現代化跨境支付方式,尤其是在數字貨幣監管愈趨嚴厲的當下。

這套存款代幣計劃由阿里巴巴旗下發展迅速的跨境電商部門主導,該部門同時於上周五宣布推出全新AI訂閱服務,以進一步提升收入來源。

中國收緊穩定幣政策 阿里巴巴轉向銀行發行代幣

阿里巴巴國際站(Alibaba.com)總裁張闊向CNBC透露,公司正準備利用歐元及美元的「代幣化」版本,來提升國際B2B支付的效率。這些所謂「存款代幣」由受監管銀行發行,並以客戶存款作為直接支持,與北京多次警告的私人發行穩定幣有明顯區別。

張闊表示,阿里巴巴預計透過代幣化支付,能夠大幅縮短結算時間、減低中介費用,並實現資金在美國、歐洲、香港、新加坡及中國內地等市場「同步」流動。

他補充,Alibaba.com計劃與包括摩根大通在內的全球銀行合作,摩根大通自家代幣化支付系統JPMD今年亦已正式為機構客戶推出。

值得留意的是,時機頗為微妙。今年七、八月期間,包括京東及阿里巴巴關聯公司螞蟻集團在內的中國科技巨頭,曾積極遊說在香港發行以人民幣為本的穩定幣,目的是抗衡美元穩定幣在全球超過九成市佔率的壓倒性優勢。

然而,到了十月,隨著中國人民銀行及其他監管部門私下指示主要科企暫停發行或支持穩定幣的計劃,即使是在香港新設監管框架下,相關企業亦迅速叫停相關部署。官方擔心,私人發行的法幣支持型代幣會削弱國家貨幣主權。

其後,監管機構更進一步警告企業,不要發布穩定幣研究報告或舉辦相關研討會,理由是存在詐騙及非法資金流動風險。人民銀行行長潘功勝上月更公開指,穩定幣對全球金融穩定構成威脅,重申中國對私人數字貨幣「零容忍」政策,即使數字人民幣仍在不斷擴展。

阿里巴巴結合AI與代幣化金融 重塑全球B2B戰略

在這種背景下,阿里巴巴轉向銀行發行的代幣化存款,其實是一種精明的策略選擇:既能利用區塊鏈技術提升結算效率,又避開穩定幣帶來的政治敏感問題。

所謂代幣化存款,指的是支付全程都在銀行體系內進行,並以法定貨幣為支持,既有區塊鏈的分佈式優勢,又貼合北京對「國家主導」數字金融的偏好。

張闊透露,Alibaba.com計劃於12月推出「agentic pay」,這是一個AI自動工具,能根據買賣雙方的訊息記錄,自動草擬商業合約,進一步提升B2B生態系統的智能化水平。

此外,集團新推出的「AI模式」搜尋功能,讓企業能按價格、物流及生產能力等多維度比較供應商。阿里巴巴預計,這些AI服務將以月費約20美元或年費99美元形式收費,開拓全新訂閱收入來源。

值得一提的是,近期中國AI模型在全球市場備受矚目。十月底,阿里巴巴旗下Qwen 3 Max在一場現場加密貨幣交易比賽中錄得108%回報,表現遠勝多個西方AI系統,僅次於另一中國AI模型DeepSeek,而OpenAI的GPT-5及Google的Gemini 2.5 Pro則錄得明顯虧損。

編輯評論:阿里巴巴的「存款代幣」戰略,既是創新亦是妥協

阿里巴巴選擇以存款代幣取代穩定幣,某程度上是中國數字金融監管趨嚴下的大勢所趨。這種「銀行發行、法幣支持」的代幣化支付方案,既能突破傳統跨境結算的效率瓶頸,又無需冒著觸犯監管紅線的風險。

從商業角度看,這是中國科技巨頭對外部環境迅速反應的體現。阿里巴巴不僅主動擁抱AI,還嘗試用區塊鏈技術重構國際商業支付基建,說明中國企業在全球科技競賽中,正尋找屬於自己的路徑。

但這種創新,亦帶有明顯的妥協色彩。表面上看,存款代幣與穩定幣都屬於以法幣支持的數字資產,實際上前者完全受銀行監管,主權國家可以隨時介入,與去中心化的加密貨幣理念背道而馳。阿里巴巴的方案,或許在技術上帶來新突破,但同時也反映出中國對數字貨幣主權的堅持與警惕。

從全球視野來看,這種「國家主導」的數字金融模式,會否成為未來主流?還是會被更開放的Web3生態逐步取代?這值得我們持續觀察。對香港市場來說,內地企業的這種策略轉型,亦有可能為本地金融科技帶來新啟示——如何在監管與創新之間找到平衡,或許正是未來亞洲金融科技競爭的關鍵。

阿里巴巴存款代幣支付系統示意圖

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Create a hyper-realistic promo image using my uploaded photo.  
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- One on the British Pound (£50) banknote  
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Use my image in Ultra-realistic, hyper-detailed, 8K cinematic portrait of a young stylish man, using the uploaded image for exact face and hairstyle.
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