Alibaba Group (BABA): UBS sees AI demand and AliCloud expansion reinforcing Alibaba's growth case

Overview

UBS's report reviews Alibaba's Apsara-related AI and cloud strategy. It contends that expanding AI use cases, inference-led demand and infrastructure build-out can drive strong external AliCloud growth, while improving returns on AI investment could support earnings revisions and a market reappraisal of Alibaba's AI assets.

Core views

UBS identifies six industry developments behind management's constructive AI-demand outlook. AI workloads are expanding beyond text into images, video, audio, music and 3D-world models, increasing both the range of use cases and compute requirements. The report also highlights that inference demand has exceeded training demand: inference extends demand from model developers to end users and therefore enlarges the addressable market. In UBS's view, AI is also becoming a multiplier for Alibaba's conventional cloud products, as AI spending increasingly brings storage, networking and security revenue with it. Demand is broadening beyond internet customers to manufacturing, financial services, autonomous driving, robotics and agriculture, while AI agents' use of proprietary enterprise data could prompt another cloud-migration cycle as mobile and PC applications are rebuilt around AI. Management targets 20GW of global AI capacity by 2032, versus Alibaba's stated 2GW in 2022. UBS translates that capacity objective into roughly US$170bn of external cloud revenue by 2032, using assumptions that each 1GW requires US$30bn of capex, the revenue-to-capex ratio is 0.4, and 70% of revenue is external cloud revenue. On that basis, UBS estimates a 40% CAGR in external AliCloud revenue from current levels. It expects Alibaba's capex to reach Rmb230bn in FY27 and believes the capacity expansion can be funded through a mix of self-built capacity, external rentals treated as operating expense, and partnerships; it also points to approximately Rmb190bn from the Taobao Tmall Group as support for self-built investment. International cloud demand has outpaced domestic growth in recent years, according to management, with overseas data-center development directed at demand in South America, the Middle East and Europe. UBS also describes Alibaba's attempt to cover the AI stack from models to hardware and applications. The Qwen roadmap targets 5-10 trillion-parameter models across Qwen 4 and Qwen 5 generations, with Qwen 4 designed to address frontier performance, speed, affordability and local deployment. The company is extending its portfolio beyond large language models through Qwen Image 3.1, HappyShrimp 1.0 for music, HappyOyster 2.0-preview for interaction, and a next-generation Wan video model planned for November. Qoder has added voice interaction and mobile access to support multi-input and cross-device agent management. On infrastructure, Alibaba introduced the V900, claimed to offer three times the compute performance of the commercialized M890, and plans a 500,000-card V900 cluster for training and inference. Its Yitian 720/730 CPUs are expected to launch in 2027, with management expecting additional capability and cost benefits. The investment conclusion rests on a gradual improvement in fundamentals and returns on AI spending. UBS expects the Street to raise earnings estimates as AI investment ROI improves and expects investors to refocus on Alibaba's AI assets and AI-driven growth profile. Its forecasts show revenue rising from Rmb1,023.7bn in FY26 to Rmb1,122.6bn in FY27E and Rmb1,436.5bn in FY29E; diluted EPS is projected to recover from Rmb26.98 in FY26 to Rmb45.68 in FY27E and Rmb75.21 in FY29E. UBS values Alibaba using sum-of-the-parts valuation and assigns a Buy rating with a US$206.00 12-month target price. From the US$115.75 price on 21 September 2026, the report presents 78.0% forecast price appreciation, a 3.1% forecast dividend yield and an 81.0% forecast stock return.

Analysis framework

UBS begins with management's demand indicators and translates the 2032 AI-capacity target into external cloud-revenue potential using capex and revenue assumptions. It then reviews Alibaba's model, application and hardware roadmap, connects AI investment returns to earnings-revision potential, and values the company using a sum-of-the-parts approach.

Methodology notes

• Valuation methodsSOTP (Sum-of-the-Parts) Valuation

  Sum-of-the-parts valuation

  UBS states that its price target is based on SOTP, which values Alibaba by considering its constituent businesses rather than treating the group as a single undifferentiated operation.

• Industry AnalysisSupply-demand framework

  AI cloud supply-demand analysis

  The report links expanding AI modalities, inference usage, industry adoption and cloud migration to higher compute and cloud demand, then assesses how Alibaba's planned capacity could meet that demand.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• Alibaba Group (BABA.N)

  Primary covered company and UBS's stated proxy for China's AI supply chain.

  Strengths

  AI-demand exposure through AliCloud, a planned 20GW global capacity build-out, full-stack products spanning models, applications and hardware, and international cloud expansion.

  Weaknesses

  Near-term profitability can be pressured by long-term investment.

  Risks

  Regulation, macroeconomic headwinds, competition, systems interruptions, execution complexity, governance issues and potential loss of founder services.

• Alibaba Group (9988.HK)

  Hong Kong-listed Alibaba security shown with a Buy rating in the report's disclosures table.

Key data

• Global AI capacity target20GW by 2032Management target; Alibaba had 2GW in 2022.
• External cloud revenue potentialApproximately US$170bn by 2032UBS estimate based on US$30bn capex per 1GW, a 0.4 revenue/capex ratio and 70% external-cloud attribution.
• External AliCloud revenue CAGR40%Implied from current levels to 2032 under UBS's capacity and monetization assumptions.
• FY27 capex forecastRmb230bnUBS expectation for Alibaba's capital expenditure.
• FY27E revenueRmb1,122,598mUBS forecast, following Rmb1,023,670m in FY26.
• FY27E diluted EPSRmb45.68UBS forecast versus Rmb26.98 in FY26.
• Forecast stock return81.0%Comprises 78.0% forecast price appreciation and 3.1% forecast dividend yield.

Impact & implications

UBS believes that the scale of AI-related cloud demand and Alibaba's full-stack product development can improve monetization and returns on investment over time. The report argues that this could lead to earnings upgrades and make Alibaba's AI assets and AI-driven growth profile more central to the market's assessment of the company.

Risks

• Regulatory changes, particularly involving data usage and online content.
• Chinese and global macroeconomic headwinds.
• Competition from traditional offline retailers.
• Information-technology and systems interruptions.
• Short-term profitability pressure resulting from long-term investment.
• Execution and management complexity across Alibaba's multiple platforms.
• Corporate-governance risk from the Alibaba Partnership's significant voting control.
• Loss of the services of founder Jack Ma.