BABA Stock: The $300 Billion Giant That Wall Street Can’t Decide Whether to Love or Abandon

A stock like Alibaba always carries a certain amount of tension because the news is never quite good enough to settle the dispute or bad enough to put an end to it. Following the company’s announcement on April 8, 2026, that it would be deploying a 10,000-card AI supercomputing cluster in collaboration with China Telecom, BABA shares surged more than 4.6%. Jefferies lowered its price target from $212 to $185 the following morning. The BABA investment thesis is currently in a state of real momentum in the right direction, supported by financial results that continue to raise unsettling questions. Both of these statements are true at the same time.

It is challenging to look at the most recent quarter’s headline figures without experiencing some cognitive dissonance. Revenue fell short of analyst expectations, growing only 1.7% to ¥284.84 billion. Year over year, net income decreased by 66.3%. These are not the numbers of a business moving forward with assurance. However, demand related to AI drove a 36% increase in cloud revenue, with Alibaba’s Qwen AI model reportedly processing hundreds of millions of task-based requests during the Lunar New Year holiday alone. Real infrastructure is being built, real usage is being generated, and real money is being lost in the process. Each investor must determine which of those facts is most important for their specific time horizon.

Observing Alibaba during this time, it appears that the company is undergoing a true strategic shift, one that entails dismantling and reassembling the company’s operations rather than just announcing it in a press release. The most tangible indication of that effort is CEO Eddie Wu’s decision to consolidate AI leadership under a new technology committee, combining cloud infrastructure, model development, and AI inference platforms under a single, coordinated structure. Zhou Jingren, a former Cloud CTO, is now in charge of the expanded large model strategy as chief AI architect. The new Cloud CTO is Li Feifei. Previously a Qwen language model family-focused research unit, the Tongyi Laboratory has been transformed into an independent business unit. These are not aesthetic adjustments; rather, they show a company’s efforts to close the distance between its commercial operations and its AI research.

The main issue is aptly captured by the Jefferies cut, which was made while the stock was rising due to enthusiasm for AI. The brokerage kept its Buy rating—it hasn’t given up on Alibaba—but the lower target recognizes that aggressive investment in one-hour delivery infrastructure, increased spending on Qwen AI promotion, and growing losses in non-core businesses are all compressing margins in ways that will take time to reverse. Around the same time, Morgan Stanley reaffirmed its Overweight rating with a $180 target, essentially presenting the same argument from a slightly different angle: the AI and cloud thesis remains intact, but there is execution risk, and it is genuinely unclear when the investment will begin to yield significant returns.

It’s possible that the most pertinent comparison in this case isn’t with other Chinese tech firms, but rather with Amazon during its own period of significant investment, when Bezos was devoting all of his resources to AWS infrastructure and logistics before the financial benefits became apparent. Due to AI demand, Alibaba’s cloud division is expanding at a rate of 36%. That is not insignificant. The question is whether the company can manage its non-core losses and maintain its e-commerce position long enough to allow the cloud business to grow to the point where it begins to significantly offset the pressures elsewhere. The majority of what followed was missed by Amazon investors who lost patience in 2014. Investors in Alibaba who lose patience now may be committing a similar error, or they may have a better understanding of China’s competitive and regulatory landscape than the bulls.

Even when BABA isn’t controlling the news cycle, the regulatory aspect is always there in the background. The crackdown that started in late 2020—when Alibaba was fined a record $2.75 billion for monopolistic behavior, Ant Group’s blockbuster IPO was cancelled, and Jack Ma vanished from public view for months—fundamentally altered how institutional investors around the world view exposure to Chinese technology. Every subsequent development is filtered through the question of whether Beijing’s relationship with its biggest tech companies has truly stabilized or is simply in a quieter phase. The stock has never fully recovered the trust it lost during that period.

All of this uncertainty is reflected in the current price, which is trading about 35% below its 52-week high and still far below its all-time highs from 2020. It’s not particularly costly for a business that is increasing cloud revenue at a rate of 36% at a P/E of about 22. However, it’s also clearly not inexpensive for a business whose net income recently dropped by two-thirds in a single quarter. It’s a stock where you have to choose between two narratives: the one about a great company that is momentarily burdened by investment cycles and regulatory scar tissue, or the one about a company that is facing structural pressure in its core commerce unit while heavily betting on an AI strategy whose commercial returns are still mostly theoretical.
This article is not financial advice; it is merely meant to be informative. Before making any investment decisions, speak with a professional financial advisor.