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Chinese Tech Giants See Stocks Surge as AI Revenue Promises Grow

Artificial Intelligence
Exponential artificial intelligence growth redefines productivity and efficiency standards. [TechGolly]

Key Points:

  • Alibaba and Tencent saw their U.S.-Traded shares jump after convincing investors that their artificial intelligence investments will soon pay off.
  • Alibaba expects its artificial intelligence revenue to reach 10 billion yuan in June and surpass 30 billion yuan by the end of the year.
  • Tencent reported its slowest revenue growth in over a year but still posted strong advertising and gaming numbers.
  • Both companies face intense pressure from cheaper startup rivals like Moonshot and MiniMax in the artificial intelligence market.

China’s two largest technology companies just reported disappointing revenue numbers, but Wall Street did not care. Investors rushed to buy shares in Alibaba Group Holding and Tencent Holdings anyway. They piled into the stocks after both companies promised huge future profits from artificial intelligence services. Alibaba’s U.S.-traded shares rose 8.2 percent, while Tencent’s stock gained almost 5 percent. Buyers looked past the current financial struggles and focused entirely on the massive potential of new technology.

Alibaba Chief Executive Officer Eddie Wu made his strategy very clear to analysts during a recent conference call. He stated that the company will prioritize the growth of artificial intelligence over immediate corporate profits. Wu plans to spend far more money than the company previously targeted. He told investors that annual recurring revenue from artificial intelligence models should hit 10 billion yuan, or roughly $1.5 billion, by June. Furthermore, Wu expects that number to triple, surpassing 30 billion yuan before the year ends.

Chasing these massive revenue targets comes with a high short-term cost. Alibaba actually recorded its first operating loss since the absolute depths of the global pandemic in 2021. The company lost money primarily because executives funneled huge amounts of cash into new artificial intelligence projects. Alibaba ranks among the largest spenders in the global technology sector. The e-commerce pioneer recently pledged to spend roughly 380 billion yuan, which equals about $56 billion, on artificial intelligence over the next three years.

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Across town, Tencent faces its own set of unique financial challenges. The company just reported its slowest revenue growth in more than a year. However, the business still managed to outpace Alibaba in overall growth speed. Tencent survived the difficult quarter thanks to a highly resilient advertising network and a highly profitable gaming division. Despite shedding roughly $160 billion, or 23 percent, of its total market value earlier this year, Tencent satisfied investors by proving its core businesses still generate plenty of reliable cash.

These twin earnings reports highlight a massive struggle inside the Chinese technology sector. Giant firms spend billions of dollars on massive data centers, top software engineers, and aggressive research. Yet they still struggle to squeeze actual profits from these expensive new tools. Alibaba and Tencent both face intense pressure from frustrated shareholders who want to see real returns on these massive investments. At the same time, low-cost, aggressive startup rivals like Moonshot and MiniMax constantly erode their market share.

To accelerate the path to profitability, Wu recently created a brand-new business group called the Alibaba Token Hub. He leads this new division directly. The token hub brings all the scattered corporate research functions, consumer applications, and enterprise products under one single umbrella. Executives stressed that this new structure helps commercialize their technology faster. Alibaba has already integrated a new artificial intelligence application into its shopping, navigation, and payment tools. The company also launched a special tool named WuKong, specifically designed for large enterprise clients.

Alibaba also forces its existing customers to pay more money for better technology. The company recently raised the prices of its cloud services. Executives hiked the cost of specific computing and storage products by as much as 34 percent. The company connected its Qwen application directly to the massive Taobao shopping platform to drive new e-commerce sales. Wu confidently stated that Alibaba aims to grow its combined cloud and artificial intelligence revenue to $100 billion annually within the next five years.

The ambition at Alibaba stretches far beyond basic software applications. The company wants to build its own physical computer hardware. Alibaba plans to publicly list its chipmaking unit, T-Head, on the stock market. Executives want to tap into strong investor demand for domestic Chinese alternatives to Nvidia. This chipmaking arm recently won a massive contract to supply hardware to mobile operator China Unicom, proving its technology works in the real world. Chief Financial Officer Toby Xu stated that the company remains highly confident in its business outlook and will continue to invest heavily to maintain its competitive edge.

Tencent refuses to surrender the technology race to its main rival. The Shenzhen-based company recently revealed a massive upgrade to its foundational software model, known as Hunyuan. This release served as a high-stakes test after Tencent completely restructured its operations under Yao Shunyu, a former OpenAI researcher. Executives claim the open-source model now leads the pack among competitors of similar size and drives massive demand on the OpenRouter platform. Tencent also leverages external technology from DeepSeek to power its popular chatbot, a move that sets the company apart from other domestic internet peers.

EDITORIAL TEAM
EDITORIAL TEAM
Al Mahmud Al Mamun leads the TechGolly editorial team. He served as Editor-in-Chief of a world-leading professional research Magazine. Rasel Hossain is supporting as Managing Editor. Our team is intercorporate with technologists, researchers, and technology writers. We have substantial expertise in Information Technology (IT), Artificial Intelligence (AI), and Embedded Technology.