UOB Touts Alibaba With HKD192 Target in China AI Cloud Race

UOB Kay Hian named Alibaba its top recommendation in the Chinese internet sector, setting a HKD192 price target as the country’s AI arms race drives significant demand for cloud computing infrastructure and services.

"We continue to view AI cloud as the preferred sub-sector within China’s internet sector," UOB Kay Hian said in a research report, citing enterprise AI adoption and the rise of agentic AI as key drivers for growth.

The brokerage maintained its "Buy" rating on Alibaba and reiterated "Buy" ratings for Tencent, with a HKD728 target price, and Baidu, with a HKD170 target. The bullish outlook comes as competition among large language model (LLM) providers including Alibaba's Tongyi Qianwen, Tencent's Hunyuan, and Moonshot AI's Kimi continues to intensify.

The core of the investment thesis rests on the exploding demand for "tokens"—the basic units of data processed by AI models—which directly translates into revenue for cloud providers. Over the next six to 12 months, UOB will be watching for accelerating cloud revenue growth, margin expansion, and the launch of AI-powered "super applications."

LLM Price Wars and Open-Source Challengers

The report highlights that competition has become more acute this year, following the open-source release of DeepSeek’s V4 model and rapid iterations from major players. This has triggered a new phase in the market, where performance is rapidly improving while costs are being driven down. The emergence of strong independent AI players excelling in coding and agent-based scenarios, coupled with their rapid growth in annual recurring revenue (ARR), indicates improving pricing power for the leading models. However, new entrants like smartphone giant Xiaomi are lowering barriers to entry. They are leveraging distillation techniques and open-source architectures to narrow performance gaps, raising market concerns about potential industry fragmentation and the long-term profitability of the API and token-based business models that have become the industry standard.

Incumbents Adjust Strategies

In response to the changing market, major platforms are adjusting their strategies to defend their positions and capture new growth. Alibaba, according to the report, has restructured its Tongyi Qianwen model to create stronger synergies with its extensive cloud and chip infrastructure. This strategic alignment aims to enhance the performance and cost-effectiveness of its AI offerings, while also bolstering its capabilities in high-demand areas like agentic AI and coding applications. Meanwhile, Tencent is accelerating an internal restructuring to retain key AI talent and is speeding up the rollout of its own agent-based products. A key part of Tencent's strategy involves the deep integration of its Hunyuan model's capabilities into its flagship social app, WeChat, potentially creating a "super application" that could reach over a billion users.

UOB's analysis suggests that while the competitive field is crowded, the sheer growth in AI-driven demand will lift the major cloud platforms who provide the essential infrastructure. For investors, the key will be identifying the players who can successfully monetize this foundational layer rather than just the application layer. Alibaba, with its vertically integrated cloud and AI stack, is UOB's prime candidate to capture this value. The HKD192 price target implies a significant upside from its current trading levels, suggesting the market has not fully priced in the potential for AI-driven margin expansion in its cloud business. The report frames the current environment not as a zero-sum game, but as a rapidly expanding market where the infrastructure providers are best positioned to establish durable, long-term profitability.

This article is for informational purposes only and does not constitute investment advice.