Alibaba and Tencent Face the Test: Prove Your AI Bets Pay Off

Chinese tech giants Alibaba and Tencent have entered earnings season under growing investor pressure to show that the billions of dollars spent on artificial intelligence development are producing real profit.

Massive investment, no visible return

Both companies have invested aggressively over the past two years in their own large language models and AI services. Alibaba built and refined Qwen, while Tencent developed Hunyuan. Capital spending on AI infrastructure, including data centers, research teams and computing capacity, ran to hundreds of millions of dollars a year. Financial analysts are checking every quarter whether costs are growing faster than the revenue these investments bring in.

• Building and upgrading cloud data centers to train and run models
• Large-scale hiring of thousands of AI researchers and engineers on competitive salaries
• Advertising and promotion of their own models against the dominance of ChatGPT
• Integrating AI features into existing products (cloud, e-commerce, social networks)

Despite the scale of the investment, direct monetization of these projects remains murky. The two companies' main revenue still comes from cloud services and e-commerce, businesses that existed long before the AI boom.

Investors demand concrete numbers

The problem boils down to this: costs are rising, but monetization is stagnating. Chinese investors have begun to openly ask at shareholder meetings when AI services will generate meaningful revenue, comparable to the amount invested in developing them.

"We see huge capital expenditure, but the monetization strategy

remains unclear," analysts note at conferences.

Analysts at Goldman Sachs and Morgan Stanley point out in their reports that Chinese companies spend on AI almost as much as American ones (relative to size), but without a clear strategy for returning capital. Investors compare the situation to the early era of cloud computing, when companies poured huge sums into infrastructure but needed years to recoup the investment. With AI, however, the gap between investment and result is much shorter and the cost of a mistake higher: the market is moving fast, and falling a few quarters behind could mean losing competitive advantage to OpenAI and Google.

What comes next

In their upcoming quarterly reports, Alibaba and Tencent are expected to present concrete data on the monetization of their AI work. The companies are counting on revenue growth from several directions:

• API services for corporate customers through cloud platforms
• Built-in AI in existing products (search, recommendations, chat)
• Licensing of models and core AI services to third parties
• Sales of AI tools and SaaS solutions for SMEs and enterprises

If the quarterly reports disappoint, investors may demand a freeze on new AI investment or mark down the companies' share valuations. The market could read such a result as a sign that the "catch up with OpenAI" strategy is not working in its current form.

What this means

The era of "invest in the future, report later" is ending. Even in China, where the state actively backs tech bets, private investors are demanding rationality and transparency. Alibaba and Tencent face a choice: either prove that AI is genuinely profitable in the coming quarterly reports, or slow their investment and refocus on monetizing existing developments.

For the tech sector as a whole, this means the generous days of pure experimentation are coming to an end. Investors now want not words about future leadership, but concrete plans for returning capital.