JPMorgan sharply raises Alibaba’s target price, optimistic about a new flywheel: “Turning AI cloud tokens into e-commerce take rates.”

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J.P. Morgan has significantly raised Alibaba's target price. Analysts say that by converting AI token revenue from its cloud business into commission rate advantages for its e-commerce platform, Alibaba is building an unprecedented business flywheel. Over the past three months, Alibaba’s share price has outperformed the Chinese internet index fund by 364 percentage points, and analysts believe this is just the beginning.

According to Zhuifeng Trading Desk, J.P. Morgan said in a report on October 1st that based on in-depth research into Alibaba's Yunqi Conference, the spread of generative AI in China is expected to surpass the previous SaaS wave. With its unique “full-stack + open” strategy, Alibaba is poised to establish powerful value capture points at every level: computation, platform, and application.

J.P. Morgan raised Alibaba’s US and Hong Kong stock target prices from $170/HK$165 to $245/HK$240, respectively. Analysts emphasized that Alibaba's narrative has shifted from “loser of domestic e-commerce market share” to “frontline Chinese internet asset.” AI services will directly improve merchant operational efficiency and consumer experience, giving Alibaba room to reprice advertising and tool services.

Strong and Surprising Outlook for AI Cloud Business Revenue

Alibaba’s cloud business has previously shown remarkable growth momentum. In the second quarter of 2025, Alibaba Cloud revenue grew by 26% year-on-year, marking the eighth consecutive quarter of growth acceleration. J.P. Morgan pointed out that this strong performance is mainly driven by demand for generative AI, with current demand coming mainly from the internet, autonomous driving, and embodied intelligence industries.

Of even greater note is that other industries are rapidly adopting generative AI technology. J.P. Morgan expects the spread of generative AI in China to outpace the previous SaaS wave, due to its ability to achieve broader efficiency gains—language, vision, and agent-based workflows cover nearly all functions and its deployment friction is low, as it can be realized via APIs/agents rather than full-process redesigns.

Analysts predict that within the next 12 to 36 months, marketing, services, coding, finance, and supply chain applications will shift from tool testing to full agent automation. This transition will bring about steady declines in service costs and improvements in conversion rates and throughput across most consumer-facing funnels.

Synergy Between Generative AI and E-commerce Now Evident

Analysts say Alibaba's unique advantage lies in the deep integration of its AI capabilities with its massive e-commerce ecosystem. At the 2025 Yunqi Conference, Alibaba showcased a comprehensive suite of powerful AI models and applications, many of which can be directly applied to its expansive merchant ecosystem.

Core AI tools include: Zaodian AI image and video generation platform, Tongyi Qianwen 3 image editing model, Tongyi Qianwen 3-Omni multimodal large model, and Antelope AgentOne enterprise AI application platform. These tools help merchants automate and optimize everything from content creation to customer service.

By mid-2025, Alibaba disclosed it had built over 800,000 AI agents on the Modaplat platform and is continually upgrading them. These specific applications can save man-hours, shorten listing cycles, improve CTR/GMV conversion rates, and reduce customer service workloads. For its international business, Alibaba launched task-specific Accio agents to enable cross-border merchants to automate purchasing, translation, and compliance tasks.

RMB 380 Billion Investment in Three Years Demonstrates Strategic Resolve

Alibaba has shown firm investment commitment to AI/cloud infrastructure. The company has guided that it will invest at least RMB 380 billion (US$52-53 billion) over three years, highlighting the capital intensity of its “full-stack + open” strategy.

In terms of technology stack depth, Alibaba matches hyperscale cloud and database (IaaS/PaaS) with self-developed inference silicon chips (including Hanguang 800 and new inference chip development), and with rapidly iterating model layers (Tongyi Qianwen/Tongyi Wanxiang). Openness-wise, Tongyi Qianwen continues to open-source at various scales and operates one of China's largest model communities (Modap/Bailian), turning into real developer and enterprise adoption.

These factors together create a complete funnel from computation to modeling to application, forming strong value capture points at each layer. J.P. Morgan believes that in the Chinese market, Alibaba is likely to capture a disproportionate share of generative AI value in IaaS, PaaS, and applications.

Efficiency Dividend Distribution is Reshaping the Business Model

J.P. Morgan states that theory and history show consumers usually gain the largest share of tech-driven efficiency via lower prices, more SKUs, and better matching, while producers/platforms maintain value with scale, commission/take rate, pricing power, and new markets.

Within Alibaba's business ecosystem, the efficiency dividend brought by AI means merchants will see operating expense savings and higher conversion rates; consumers will benefit from better recommendations, content, and prices; and Alibaba gains room to reprice services (ads, tools, agent platforms), especially where value-based pricing can be protected, such as lead generation and traffic quality.

J.P. Morgan expects consumers to remain the biggest beneficiaries, but Alibaba can monetize some incremental surplus through higher efficiency/ad ROI and agent workflow subscriptions. This mechanism not only improves overall platform efficiency but also gives Alibaba sustained revenue growth momentum.

J.P. Morgan raised Alibaba’s US/Hong Kong stock target prices from $170/HK$165 to $245/HK$240 respectively. Analysts believe that with AI-driven monetization of cloud services, merchant cost savings, and domestic e-commerce monetization, Alibaba’s equity narrative will shift from “loser of domestic e-commerce market share” back to “leading Chinese internet asset.” This positioning means a P/E multiple of 15-20x, well above current levels.

Due to distortions in fiscal 2027 forecasts from food delivery and instant retail investments, J.P. Morgan recommends investors value Alibaba based on fiscal 2028. According to analyst profit forecasts, the current share price represents a 12x expected fiscal 2028 P/E, leaving significant room for valuation re-rating.

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