Swimming With the Current.

Mispricings usually live in the corners of the market. Small caps nobody covers, emerging markets foreign institutional investors avoid, post-reorganization equities where the old shareholder base sold and the new one has not arrived yet. You expect to find inefficiency in places where capital cannot or will not go.

What you do not expect to find is a comically mispriced $295 billion megacap trading on the New York Stock Exchange, covered by every sell-side analyst on Wall Street, held by every emerging markets fund on the planet. And yet that is precisely where Alibaba sits in March 2026. Not mispriced by 15%. Mispriced by a factor of more than two.

The reason is simple. The marginal price-setter in a stock like BABA is no longer a fundamental analyst. It is a momentum algorithm reacting to consolidated headline metrics. Total revenue up 2%. Adjusted EBITA down 57%. Non-GAAP EPS down 67%. Free cash flow down 71%. These numbers are, taken at face value, brutal.

They are also, taken at face value, wrong. The business underneath them is in the middle of a deliberate transformation that will look obvious in retrospect and is currently invisible to anyone who does not read the segment breakdowns.

But before the numbers, the framework.

The missing variable

There is one question missing from every Western model of Chinese equities. Not earnings growth, or take rate, or cloud margin expansion. A more fundamental question:

I call this the B2G framework — business-to-government alignment. It is not a political loyalty test. It is a structural question about whether a company is building products that improve the metrics by which every provincial governor, every city mayor, every cadre in the Chinese system is evaluated and promoted.

If you are building what the plan calls for, the entire weight of the Chinese state — procurement budgets, permitting, talent incentives, regulatory forbearance — flows in your direction. If you are building something that competes with what the state considers its own domain, that same weight reverses.

This is the single most predictive variable for regulatory risk in Chinese equities. And it explains, cleanly, why Alibaba was in trouble five years ago — and why it is not in trouble today.

Three phases of Alibaba

Western coverage of Alibaba reduces a fifteen-year arc to a single moment: Jack Ma's October 2020 speech in Shanghai, the cancelled Ant Group IPO, the punitive antitrust fine. The standard narrative is that an autocrat punished a critic, and Western observers should treat all Chinese companies as politically vulnerable as a result.

The B2G framework offers a more useful explanation. Alibaba's relationship with the Chinese state has moved through three distinct phases, and reading them correctly tells you both why Alibaba was in trouble and why CATL and BYD never were.

Phase one — swimming with the current (early Taobao through roughly 2015)

Taobao gave fifty million small merchants and rural producers access to national consumer markets. Manufacturers in Yiwu sold directly to households in Tier 4 cities. Farmers in Shaanxi reached urban consumers without intermediaries. The "Taobao village" phenomenon — four thousand rural communities where digital commerce reversed economic decline — was 共同富裕 (gòngtóng fùyù, common prosperity) in action a decade before the phrase became official Politburo language. Jack Ma was on national television. The state celebrated him.

Phase two — drift (2015–2020)

Alibaba began importing the Western tech monopoly playbook. 二选一 (èr xuǎn yī, "choose one of two") — forcing merchants to exclude competing platforms. Algorithmic price discrimination. Predatory acquisitions of smaller competitors. Data lock-in. These behaviors are tolerated reluctantly even in the United States. In a system where common prosperity is not a slogan but an evaluation criterion the Politburo uses to grade officials, they are negatives. By 2020, "platform economy disorder" had been named explicitly as a target in central economic work conferences. Alibaba had drifted from swimming with the current to swimming across it.

Phase three — collapse (2020)

Ant Group was not just a payments company. It had built a shadow banking system — Huabei consumer credit, Jiebei personal loans, lending against thin capital with the bank-level returns of a bank but none of the bank-level regulation. This directly contravened two binding Five-Year Plan priorities: 金融强国 (jīnróng qiángguó, financially powerful country) and "preventing and resolving major financial risks". When Ma stood on the Bund and called Chinese regulators a "pawnshop mentality," he was attacking the system that was about to discover what his company had been doing. The IPO was pulled. The crackdown began.

This is the part Western analysts get wrong. They watched the crackdown unfold across Alibaba, Didi, online gaming, and after-school tutoring — and concluded that the Chinese state had become hostile to private tech, that "China risk" was now systemic, that all Chinese equities deserved a permanent governance discount. That generalization was, and is, wrong.

The counterfactual is sitting in plain sight. At the exact moment Alibaba was being humbled, CATL and BYD were receiving every tailwind the Chinese state could provide. Procurement preferences for new energy vehicles. Subsidies for battery R&D. Fast-track permitting for gigafactories. Talent visas for materials scientists. These companies were swimming with the current — they were building 新质生产力 (xīnzhì shēngchǎnlì, new quality productive forces), the heart of where the Politburo wanted the economy to go. Same period. Same Politburo. Opposite outcomes.

The Alibaba episode happened to be the loudest event of its era, so analysts mistook a company-specific story for a systemic one. The discount is still there in BABA's price, applied to a company that has spent five years climbing back into alignment.

From shadow banking to AI

The Alibaba of 2026 is a different company. Eddie Wu, who replaced Ma as CEO, has restructured the entire firm around what he calls the Alibaba Token Hub — create tokens, deliver tokens, apply tokens. On the Q3 FY2026 earnings call, he committed to $100 billion in annual external cloud and AI revenue by 2031. That number maps directly to the 15th Five-Year Plan's target of 12.5% digital economy share of GDP — a target that is now a binding KPI for every governor in the country.

Eddie Wu is not making a forecast. He is sending an alignment signal. He is telling Beijing: we are now building what your plan needs. Cloud infrastructure. AI compute. The digital economy layer that the entire cadre evaluation system is being measured against.

Joe Tsai, the chairman, holds the geopolitical flank — Yale-educated, Canadian citizen, fluent in the language of Western capital markets, personally reassuring institutional investors on VIE structure and delisting risk. Wu builds the product. Tsai holds the bridge.

This is the lens. Now apply it.

The assets you get for free

Before discussing cash flows, it helps to understand what Alibaba owns beyond its two operating businesses. Think of these as the pile of things the market is ignoring while it fixates on consolidated EBITA:

T-Head Semiconductor. Alibaba's chip design subsidiary. 470,000 AI chips shipped through February 2026, over 60% to external commercial customers. Annualized revenue of approximately RMB 10 billion (US$1.45B) — larger than Cambricon (RMB 6.5B / US$940M) and Moore Threads (RMB 1.5B / US$220M) combined, the two largest publicly traded Chinese AI chip companies. Those two carry a combined market capitalization near $100 billion. T-Head is not yet public. It will be, and soon.

Net cash. RMB 560 billion (US$81B) in cash and liquid investments, minus approximately $40 billion in debt and convertibles (none currently in the money). Net position: roughly $40 billion.

Ant Group (33% stake). Alipay's parent. Restructured, regulated, cash-generative. Alibaba's equity income from Ant was RMB 4.3 billion (US$620M) in the first half of FY2026 alone. Conservative value of the stake: $35 billion.

AIDC. International e-commerce — AliExpress, Lazada, Trendyol. RMB 39 billion (US$5.7B) quarterly revenue, losses narrowing to RMB 2 billion (US$290M)/quarter. Worth perhaps $15 billion on improving trajectory.

Cainiao logistics. China's largest logistics network. Roughly $10 billion in standalone value.

Total: approximately $160 billion in assets that are not Commerce and not Cloud.

Alibaba's entire market capitalization at $124 per ADS is approximately $295 billion. Subtract the asset pile: the market is paying $135 billion for Alibaba's two cash-generating businesses — China Commerce and Cloud — combined.

Hold that number.

China Commerce

Alibaba China E-commerce Group reported adjusted EBITA of RMB 34.6 billion (US$5.0B) in Q3 FY2026, down 43% year-over-year. The headline is ugly. The story underneath it is not.

The decline is almost entirely explained by deliberate investment in quick commerce — the rebranded "Taobao Instant Commerce" (formerly Ele.me). This is an expensive land grab against Meituan and JD. Management confirmed that Q2 FY2026 was peak investment, with per-order losses halving since summer. Unit economics are improving month over month: higher average order value, better fulfillment efficiency, strong customer retention.

Strip out the quick commerce burn and the base e-commerce business — Taobao, Tmall, 1688 — is generating roughly $23 billion in annualized EBITA. This is a utility-like platform with 59 million 88VIP premium members, dominant market position, and modest but real revenue growth through take-rate improvement.

The five-year view is straightforward. Revenue grows 2-4% annually — slower than GDP, because e-commerce is mature and not particularly B2G-aligned. China Commerce is not what the Five-Year Plan is optimizing for. But it is also set to benefit from Beijing's anti-内卷 (anti-involution) push — the explicit policy directive against ruinous subsidy wars in delivery and commerce. The State Administration for Market Regulation intervened in March 2026 to signal limits on the food delivery price war. This is the regulatory environment protecting margins, not compressing them.

EBITA margins will be permanently lower than the pre-2024 era. Quick commerce carries structural fulfillment costs that traditional e-commerce does not. The old 30%+ margin days are not returning. But the temporary investment phase — the furnace — is fading. By FY2028, commerce EBITA normalizes in the range of $25-27 billion annually.

At 8× a mature, low-growth, cash-generative platform multiple, that is approximately $210 billion.

Remember the number from above. The market is paying $135 billion for Commerce and Cloud combined. Commerce alone, conservatively, is worth $210 billion.

Cloud

When Eddie Wu spoke on the Q3 FY2026 earnings call on March 19, the current quarter — January through March 2026 — was already 78 of its 90 days complete. Roughly 85% of the quarter was already in. So when he said MaaS token consumption up 6×, he wasn't forecasting the future, he was reading his dashboard.

What else he said:

"From H2 2025 to now, AI has entered the Agentic-driven era."

And, committing to ""$100 billion in annual external cloud and AI revenue [by 2031]".

Three consecutive reported quarters of acceleration: 26% → 34% → 36%. Alibaba Cloud announced price hikes of 5-34% on core AI compute products the day before earnings, effective April 18. That's a Q1 FY27 tailwind but confirms genuine supply constraint. Tencent raised its Hunyuan AI prices by 460% effective March 13. This is not one company's optimism. This is an industry running out of capacity.

The customers nobody is connecting

Look at the same market that has marked Alibaba down roughly 35% over the past five months. In the same period, Z.ai (formerly Zhipu) IPO'd on the Hong Kong Stock Exchange in January 2026 and has rallied more than 250% from its offer price, currently sitting at a market capitalization near $33 billion on roughly $100 million of trailing revenue. MiniMax IPO'd the next day. Moore Threads, the GPU company, jumped 425% on its first day of trading. MetaX surged 693%.

These are the AI "tigers" Western and Chinese investors are climbing over each other to own. Their share price action assumes massive future revenue from Chinese AI adoption.

The question almost no one is asking: where do these companies actually run?

Z.ai's partnership with Alibaba Cloud is publicly documented — Alibaba Cloud is its global deployment infrastructure for international expansion, and Alibaba is also a major equity investor. MiniMax has a published case study with Alibaba Cloud detailing its cloud-native data warehouse architecture; MiniMax's models are also natively integrated into Alibaba Cloud's Model Studio. The model companies are the razors. Alibaba Cloud is the blade factory.

Z.ai trades at roughly 300× sales. The market is enthusiastically valuing the application layer of the Chinese AI economy. The infrastructure layer underneath it — running the inference, processing the tokens, providing the serverless data warehouse — trades at negative $75 billion.

This is not a subtle mispricing.

Vertical integration and B2G alignment

T-Head's 470,000 chips are the vertical integration play that makes the entire stack defensible. Qwen models optimized for T-Head silicon, running on Alibaba Cloud infrastructure. Eddie Wu calls it the "AI golden triangle." Caixin reports that Alibaba is now, after Google, the second company globally with in-house full-stack capabilities across foundation models, cloud computing, and chip design.

And this is where the B2G framework matters most. The AliCloud thesis is the BABA is the thesis, and cloud is directly aligned with the 15th Five-Year Plan's digital economy targets. Every governor in China has a career incentive to make cloud, AI, and digital infrastructure work in their jurisdiction. When Eddie Wu commits to $100 billion, he is aligning a corporate target with a national KPI. The regulatory current is flowing in his direction, not against it.

The five-year math: if cloud revenue reaches "just" $85 billion by FY2031 — well short of Eddie Wu's $100 billion target — and EBITA margins reach 12% as capex growth decelerates and pricing power compounds, that is roughly $10 billion in cloud EBITA.

At 25× — a premium growth multiple for the infrastructure layer of China's AI economy, in line with what the market pays for the Chinese AI chip pure-plays — that is $250 billion. Alternative framings at 8× forward revenue or 20× forward EBITA land in a similar range.

The sum of parts

Round numbers: I am advocating a fair value of approximately $260–300 per ADS, depending on where cloud lands in the five-year window. Today's price is $124. That is 110% to 140% upside from here on the base case, with meaningful optionality above if cloud accelerates beyond the $85 billion path.

The market, at $124, is pricing Alibaba Cloud — growing 36%, with confirmed pricing power, supply constraints, ten consecutive quarters of triple-digit AI revenue growth, a full-stack chip-to-model-to-cloud capability matched only by Google globally, and direct alignment with the Chinese government's highest-priority economic KPI — at negative seventy-five billion dollars.

This is what happens when momentum algorithms set the marginal price based on consolidated EBITA (−57%) rather than reading the segment breakdown. The same quarterly filing contains both numbers. One requires reading a headline. The other requires reading words.

Not investment advice. Just arithmetic.

An exception to the rule

I generally do not publish quarterly predictions. A single quarter's revenue or EBITA is not particularly meaningful for a five-year thesis, and the temptation to over-fit short-term noise degrades analytical credibility over time.

But I am making an exception for Alibaba's Q4 FY2026 (January–March 2026), reporting in May. Two reasons.

First, the base effects and real-time signals make this quarter unusually predictable — and the gap between what the data says and what the market expects is unusually wide. Second, the "reading words" methodology is built on falsifiable predictions graded in public. This is the first company-level test.

Commerce is for the algos. Cloud is the thesis — and the thesis says: the CEO told you what was happening. The Five-Year Plan told you where the system is pointed. The price hikes told you demand exceeds supply.

I've been buying

The market does not often hand you a widely-held, heavily-covered, NYSE-listed megacap trading at roughly 40–45% of fair value. When it does, the reason is usually the same: a structural change is underway that does not yet show up in the headline numbers, and the observer base is still running the old model.

Alibaba's pivot from Ant Financial to the Alibaba Token Hub is the structural change. The B2G realignment from the wrong side of the Five-Year Plan to the right side is the structural change. The 36% cloud growth with ten consecutive quarters of triple-digit AI revenue expansion is the structural change.

The headline is EBITA down 57%. The reality is a company generating $23 billion in normalized commerce EBITA, running the infrastructure layer for China's AI economy, sitting on $160 billion in non-core assets, and trading at an implied cloud valuation of negative $75 billion.