Cathie Wood-Led Ark's Prediction: AI Will Turn Digital Wallets Into $9 Trillion E-Commerce Powerhouses — Google, Amazon Dominance Set For Disruption?
Cathie Wood-Led Ark's Prediction: AI Will Turn Digital Wallets Into $9 Trillion E-Commerce Powerhouses — Google, Amazon Dominance Set For Disruption?
ARK Invest said in November that artificial intelligence-powered digital wallets could revolutionize e-commerce, potentially driving nearly $9 trillion in global online spending by 2030 through the integration of Large Language Models into payment platforms.
Ark Invest在11月表示,人工智能驅動的數字錢包可能會徹底改變電子商務,通過將大型語言模型集成到支付平台,到2030年,有可能推動全球近9萬億美元的在線支出。
What Happened: The Cathie Wood-led firm's latest research suggests that AI "purchasing agents" embedded in digital wallets like Shopify Inc's (NYSE:SHOP) Shop Pay, Cash App owned by Block Inc (NYSE:SQ), and Apple Inc.'s (NASDAQ:AAPL) Apple Pay could transform the traditional one-click checkout into a streamlined one-query purchase experience.
發生了什麼:這家由凱西·伍德領導的公司的最新研究表明,Shopify Inc(紐約證券交易所代碼:SHOP)的Shop Pay、Block Inc(紐約證券交易所代碼:SQ)旗下的Cash App和蘋果公司等數字錢包中嵌入了人工智能 「採購代理」。”s(納斯達克股票代碼:AAPL)Apple Pay可以將傳統的一鍵結賬轉變爲簡化的單一查詢購買體驗。
This development comes as major tech companies, including Alphabet Inc. (NASDAQ:GOOGL) (NASDAQ:GOOG) and Amazon.com Inc. (NASDAQ:AMZN), are rapidly advancing their AI shopping capabilities.
這一事態發展是在包括Alphabet Inc.(納斯達克股票代碼:GOOG)(納斯達克股票代碼:GOOG)和亞馬遜公司(納斯達克股票代碼:AMZN)在內的主要科技公司正在迅速提高其人工智能購物能力之際發生的。
ARK's research suggests AI purchasing agents could disrupt Google and Amazon's dominance by automating product comparisons and purchase decisions, reducing reliance on search engines and marketplaces.
ARK的研究表明,人工智能採購代理可以通過自動進行產品比較和購買決策,減少對搜索引擎和市場的依賴,從而破壞谷歌和亞馬遜的主導地位。
Klarna's integration with Microsoft Corp. (NASDAQ:MSFT) backed OpenAI technology demonstrates early adoption of this trend, with its shopping assistant combining search and aggregation based on user preferences.
Klarna與微軟公司(納斯達克股票代碼:MSFT)支持的OpenAI技術的整合表明了這一趨勢的早期採用,其購物助手根據用戶偏好結合了搜索和聚合功能。
"Digital wallets helmed by purchasing agents could increase their share of global e-commerce purchase volume from 50% in 2023 to 72% by 2030," according to Ark Invest's analysis.
方舟投資的分析顯示:「由採購代理管理的數字錢包可能會將其在全球電子商務購買量中的份額從2023年的50%增加到2030年的72%。」
The firm projects that if 10% of global AI agent spending occurs through digital wallets with a 5% lead generation fee, these AI purchasing agents could generate $43 billion for digital wallet providers.
該公司預計,如果全球人工智能代理支出中有10%來自數字錢包,並收取5%的潛在客戶開發費,則這些AI採購代理可以爲數字錢包提供商帶來430億美元的收入。
Why It Matters: Recent market developments support this trajectory. Amazon's AI shopping assistant Rufus, launched nationwide in July, has already demonstrated the potential of AI in e-commerce by helping customers with product details, recommendations, and comparisons.
爲何重要:最近的市場發展支持這一軌跡。亞馬遜的人工智能購物助手Rufus於7月在全國推出,通過幫助客戶提供產品詳情、推薦和比較,已經展示了人工智能在電子商務中的潛力。
Meanwhile, Google's reported development of "Project Jarvis," an AI system designed to handle shopping and travel bookings, suggests growing competition in this space.
同時,谷歌報道的旨在處理購物和旅行預訂的人工智能系統 「Project Jarvis」 的開發表明,該領域的競爭日益激烈。
The impact of AI on e-commerce was particularly evident during Black Friday 2024, when online sales reached $10.8 billion, marking a 10.2% increase from 2023. Retailers using AI chatbots saw a 1,800% increase in website traffic and a 9% higher conversion rate compared to those without AI integration, according to Salesforce data.
人工智能對電子商務的影響在2024年黑色星期五期間尤爲明顯,當時的在線銷售額達到108億美元,比2023年增長了10.2%。根據Salesforce的數據,與未集成人工智能的零售商相比,使用人工智能聊天機器人的零售商的網站流量增加了1800%,轉化率提高了9%。
Ark Invest emphasizes that success in this space will require digital wallet providers to balance personalization with user privacy and trust. The firm suggests that similar to credit card rewards programs which distributed $40 billion in rewards in 2022, digital wallets will need to offer compelling incentives to drive adoption.
Ark Invest強調,在這一領域取得成功將需要數字錢包提供商在個性化與用戶隱私和信任之間取得平衡。該公司表示,與2022年發放400億美元獎勵的信用卡獎勵計劃類似,數字錢包需要提供令人信服的激勵措施來推動採用率。
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Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.
免責聲明:此內容部分是在人工智能工具的幫助下製作的,並由Benzinga的編輯審閱和發佈。