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Alibaba & Tencent miss: can AI serve as the next growth engine?

Short answer: yes — but the path is very different for each company, and monetisation is still the key uncertainty.

What happened

Both Alibaba and Tencent saw market reactions despite heavy AI investments. Alibaba missed expectations due to weak e-commerce and rising costs, while Tencent performed better operationally but was still sold off. The market is clearly shifting from “AI hype” to “show me actual returns.”

Alibaba: high-risk, high-reward AI transition

Alibaba is pivoting hard into AI through its cloud business. AI-related cloud revenue is growing quickly, and management is positioning it as a long-term core driver.

However, there are trade-offs:

- Core e-commerce is slowing

- Heavy AI investment is pressuring margins

- Payoff is uncertain and long-term

This makes Alibaba a “build now, monetise later” story. If AI cloud scales successfully, upside could be significant — but execution risk remains high.

Tencent: quieter but more effective AI strategy

Tencent is integrating AI into its existing ecosystem rather than selling it directly. AI is being used to:

- Improve ad targeting

- Enhance gaming content

- Strengthen the WeChat ecosystem

This approach allows Tencent to monetise AI immediately through existing revenue streams, rather than relying on a separate AI business.

Key difference

- Alibaba = selling AI (cloud infrastructure play)

- Tencent = embedding AI (ecosystem enhancement)

Tencent’s model is lower risk and more incremental. Alibaba’s is riskier but potentially more transformative.

Risks to watch

- AI monetisation is still unclear across the industry

- High capital expenditure required for AI infrastructure

- Chip restrictions and supply constraints

- Increasing competition within China (ByteDance, Baidu, Huawei)

Bottom line

AI can absolutely become a new growth engine for both companies. However:

- Tencent is better positioned for near-term, consistent monetisation

- Alibaba offers higher upside but comes with greater execution risk

From an investment perspective:

Tencent looks like the steadier compounder, while Alibaba is more of a turnaround + AI growth bet.

Alibaba & Tencent Miss: Can AI Serve as New Growth Engine?

Alibaba is currently engaged in an unprecedented "cash-for-growth" strategy. Nevertheless, the silver lining remains in the cloud: Alibaba Cloud’s revenue growth surged to 37%. Goldman Sachs and Macquarie noted that Tencent is shifting into a capital-intensive "catch-up phase," and cut price target to $700 amid margin pressure. This move is expected to dilute short-term profits and potentially scale back the size of share buybacks. Can Alibaba Cloud’s price increases stem the "bleeding" of profit margins in the next quarter? Is this a value trap, or simply the darkness before the dawn?

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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The market is clearly shifting from “AI hype” to “show me actual returns.”</p>\n<p>Alibaba: high-risk, high-reward AI transition</p>\n<p>Alibaba is pivoting hard into AI through its cloud business. AI-related cloud revenue is growing quickly, and management is positioning it as a long-term core driver.</p>\n<p>However, there are trade-offs:</p>\n<p>- Core e-commerce is slowing</p>\n<p>- Heavy AI investment is pressuring margins</p>\n<p>- Payoff is uncertain and long-term</p>\n<p>This makes Alibaba a “build now, monetise later” story. If AI cloud scales successfully, upside could be significant — but execution risk remains high.</p>\n<p>Tencent: quieter but more effective AI strategy</p>\n<p>Tencent is integrating AI into its existing ecosystem rather than selling it directly. AI is being used to:</p>\n<p>- Improve ad targeting</p>\n<p>- Enhance gaming content</p>\n<p>- Strengthen the WeChat ecosystem</p>\n<p>This approach allows Tencent to monetise AI immediately through existing revenue streams, rather than relying on a separate AI business.</p>\n<p>Key difference</p>\n<p>- Alibaba = selling AI (cloud infrastructure play)</p>\n<p>- Tencent = embedding AI (ecosystem enhancement)</p>\n<p>Tencent’s model is lower risk and more incremental. Alibaba’s is riskier but potentially more transformative.</p>\n<p>Risks to watch</p>\n<p>- AI monetisation is still unclear across the industry</p>\n<p>- High capital expenditure required for AI infrastructure</p>\n<p>- Chip restrictions and supply constraints</p>\n<p>- Increasing competition within China (ByteDance, Baidu, Huawei)</p>\n<p>Bottom line</p>\n<p>AI can absolutely become a new growth engine for both companies. However:</p>\n<p>- Tencent is better positioned for near-term, consistent monetisation</p>\n<p>- Alibaba offers higher upside but comes with greater execution risk</p>\n<p>From an investment perspective:</p>\n<p>Tencent looks like the steadier compounder, while Alibaba is more of a turnaround + AI growth bet.</p></body></html>","text":"Alibaba & Tencent miss: can AI serve as the next growth engine? Short answer: yes — but the path is very different for each company, and monetisation is still the key uncertainty. What happened Both Alibaba and Tencent saw market reactions despite heavy AI investments. Alibaba missed expectations due to weak e-commerce and rising costs, while Tencent performed better operationally but was still sold off. The market is clearly shifting from “AI hype” to “show me actual returns.” Alibaba: high-risk, high-reward AI transition Alibaba is pivoting hard into AI through its cloud business. AI-related cloud revenue is growing quickly, and management is positioning it as a long-term core driver. However, there are trade-offs: - Core e-commerce is slowing - Heavy AI investment is pressuring margins - Payoff is uncertain and long-term This makes Alibaba a “build now, monetise later” story. If AI cloud scales successfully, upside could be significant — but execution risk remains high. Tencent: quieter but more effective AI strategy Tencent is integrating AI into its existing ecosystem rather than selling it directly. AI is being used to: - Improve ad targeting - Enhance gaming content - Strengthen the WeChat ecosystem This approach allows Tencent to monetise AI immediately through existing revenue streams, rather than relying on a separate AI business. Key difference - Alibaba = selling AI (cloud infrastructure play) - Tencent = embedding AI (ecosystem enhancement) Tencent’s model is lower risk and more incremental. Alibaba’s is riskier but potentially more transformative. Risks to watch - AI monetisation is still unclear across the industry - High capital expenditure required for AI infrastructure - Chip restrictions and supply constraints - Increasing competition within China (ByteDance, Baidu, Huawei) Bottom line AI can absolutely become a new growth engine for both companies. 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