Alibaba targets US0 billion of cloud, AI revenue in five years as results disappoint

Alibaba targets US$100 billion of cloud, AI revenue in five years as results disappoint


Net income plummeted, hurt in part by heavy spending on promotions to fend off rivals

Published Fri, Mar 20, 2026 · 09:21 AM

ALIBABA Group declared a target of reaching US$100 billion of cloud and AI-related business revenue in five years, setting a high watermark for one of China’s most ambitious artificial intelligence players.

Chief executive officer Eddie Wu proclaimed that goal after his company reported a 67 per cent plunge in quarterly earnings and meagre revenue growth, underscoring the urgency behind Alibaba’s drive to wring more profits out of a swathe of costly AI endeavors.

The company posted a 2 per cent rise in sales to 284.8 billion yuan (S$52.8 billion) for the three months ended December, just shy of the average projection. But net income plummeted — its worst performance since early 2024 — hurt in part by heavy spending on promotions to fend off rivals in commerce. Alibaba’s US-listed shares slid 4 per cent in pre-market trading.

The disappointing results show why the company is driving a major restructuring aimed at generating profit off its sprawling AI endeavors.

The company this week launched an agentic AI service known as Wukong for company clients, and hiked prices for its cloud computing and storage services by as much as 34 per cent.

Alibaba is keen to monetise its growing AI portfolio in part to offset losses in its e-commerce business, which is grappling with fierce domestic competition. 

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“The business goal of Alibaba AI strategy is very clear. Over the next five years, our goal is to surpass US$100 billion in combined cloud and AI external revenue,” Wu told analysts on a conference call.

The Hangzhou-based company — one of the world’s largest cloud service providers — is considered a frontrunner in China’s race toward artificial general intelligence.

It’s also the most aggressive in terms of spending: Alibaba has pledged more than US$53 billion of AI investment over several years, far surpassing its Chinese rivals though a fraction of the US$650 billion that US hyperscalers intend to shell out in 2026.

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Alibaba Group is hiking prices of its T-Head AI-computing chips, such as the Zhenwu 810E, by 5 to 34 per cent.

Alibaba’s cloud unit has since become the group’s fastest-growing business, with the company recording triple-digit revenue growth from AI-related products over 10 consecutive quarters.

The company however is grappling with fundamental changes with the potential to reshape leadership of the world’s biggest internet arena.

China’s newfound love affair with OpenClaw-style agentic AI has handed Tencent Holdings, with its all-encompassing WeChat ecosystem, an initial advantage.

Alibaba’s rival is considered well-positioned to build agentic AI because it sits on a trove of user data and controls access to a universe of Chinese apps via WeChat.

Alibaba’s AI efforts were further unsettled by the surprise departure of Junyang Lin, the top developer for Qwen models and one of the most influential figures behind Alibaba’s transition to AI.

That sent ripples through the industry and raised questions about the company’s approach to cutting-edge research. The exact reasons for Lin’s exit remain unclear. 

Costs are rising on other fronts.

Over last month’s week-long Lunar New Year holiday, Alibaba, Tencent, ByteDance and Baidu gave out billions of yuan in coupons to acquire users for its consumer-facing agentic app.

While competitors saw a sharp increase in adoption, Qwen’s usage remained well above pre-campaign levels, according to estimates by Morgan Stanley.

Alibaba has since shifted its focus back to enterprise-facing products, launching a major restructuring centered on selling AI services mainly to businesses. With the creation of a new business group called Alibaba Token Hub, nearly all AI-related units now come under a single umbrella led by CEO Wu.

The new business unit’s name refers to the units of computing (such as keywords) that serve as a benchmark for AI usage as well as a framework for charging those users. 

It “shows the explosive AI demand from strong token usage,” Morgan Stanley’s Gary Yu said in a research note this week. “The biggest implication is that it further strengthens commercialisation of AI.” 

Wu has detailed a plan to build full-stack AI technology, including hardware. The company’s chip unit, T-Head, made headway in acquiring major customers and Alibaba is preparing for a separate listing of the business to tap into investors’ interest on companies providing alternatives to Nvidia Corp. 

In the meantime, Alibaba is still deeply involved in an instant delivery price war with Meituan and JD.com — a battle that’s raged for more than a year and drawn regulatory scrutiny. The company last year offered subsidies worth as much as 50 billion yuan to defend its turf.

E-commerce chief Jiang Fan said in November Alibaba planned for “sustained long-term investment” in instant commerce, though he said losses have begun to narrow. REUTERS

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Liam Redmond

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