Alibaba Group is planning to raise HK$80 billion, or about $10.2 billion, through a new share placement in Hong Kong as the Chinese technology giant accelerates investment in artificial intelligence. The company said 100% of the net proceeds will be used to strengthen its “full-stack” AI capabilities, including AI infrastructure, chips and the development and deployment of AI models.

The fundraising comes just days after Alibaba reported a sharp rise in AI-related spending that contributed to a 75% year-on-year decline in quarterly net profit. At the same time, its cloud and AI business continued to expand rapidly, with AI Cloud and Compute Services revenue rising 45% to $7.1 billion. The new capital will give Alibaba additional financial resources as it competes with other Chinese and global technology companies for leadership in AI.

Alibaba Plans HK$80 Billion Share Placement

Alibaba has proposed selling 710 million newly issued ordinary shares at HK$112.70 each, according to the terms of the transaction reviewed by Reuters.

The offer price represents a 3.6% discount to Alibaba’s latest closing price, allowing the company to raise a substantial amount of capital from investors while accelerating its AI investment program.

Alibaba Share Sale At A Glance

ParticularDetails
CompanyAlibaba Group
Fundraising targetHK$80 billion
U.S. dollar valueAbout $10.2 billion
Shares offered710 million
Price per shareHK$112.70
Discount3.6%
Use of proceeds100% for AI
Primary focusFull-stack AI capabilities
ListingHong Kong
U.S. investorsExcluded from the placement

Alibaba said the shares will be offered to non-U.S. persons outside the United States through an offshore transaction.

Largest-Ever Follow-On Offering In Hong Kong

The proposed transaction would be the largest primary follow-on share offering by a Hong Kong-listed company, according to Reuters.

Globally, it would rank as the third-largest primary follow-on share sale in 2026, behind offerings by Alphabet and Intel.

Scale Of The Fundraising

Alibaba
HK$80 billion
≈ $10.2 billion
        │
        ▼
Largest Primary Follow-On
By A Hong Kong-Listed Company
        │
        ▼
Third-Largest Globally
In 2026

The size of the transaction underscores how much capital Alibaba believes will be required to compete in the increasingly expensive AI infrastructure race.

100% Of Proceeds Will Go Toward AI

Unlike a conventional capital raise that might be used for multiple corporate purposes, Alibaba has specifically earmarked all of the net proceeds for artificial intelligence.

The company described its strategy as “full-stack” AI, covering the technology stack from semiconductor chips and computing infrastructure to AI models and their deployment.

Where Alibaba Plans To Invest

AI AreaPlanned Focus
AI infrastructureExpand computing capacity
Data centersSupport large-scale AI workloads
AI chipsDevelop and deploy specialized silicon
AI modelsContinue frontier model development
AI deploymentCommercialize AI applications
Cloud computingExpand AI-powered cloud services

The strategy shows that Alibaba is seeking control across multiple layers of the AI ecosystem rather than focusing solely on developing large language models.

Alibaba’s AI Spending Is Already Surging

The fundraising comes after a major increase in Alibaba’s capital expenditure.

During the April-June quarter, capital expenditure rose 75% year over year to 67.68 billion yuan, or roughly $10 billion. The increase was primarily driven by expanded computing capacity, chip procurement and AI infrastructure investment.

The spending surge has weighed heavily on profitability.

Alibaba’s net profit fell about 75% to 10.5 billion yuan in the quarter, even though revenue increased 9% to nearly 269 billion yuan.

Alibaba Q1 FY2027 Results

MetricResultYoY Change
Revenue268.95 billion yuan+8.6%
Net profit10.54 billion yuan-76%
Capital expenditure67.68 billion yuan+75%
AI Cloud & Compute Services$7.1 billion+45%
Adjusted net profit20.72 billion yuan-38%

The numbers illustrate the central trade-off facing Alibaba: AI investment is driving strong cloud growth, but the infrastructure required to support that growth is placing significant pressure on near-term earnings.

AI Cloud Revenue Jumps 45%

Despite the profit decline, Alibaba’s cloud and AI operations are showing strong momentum.

AI Cloud and Compute Services revenue increased 45% year over year to approximately $7.1 billion, marking the strongest cloud growth in 22 quarters, according to Alibaba. AI-related revenue has recorded triple-digit growth for the 12th consecutive quarter.

This growth provides the financial rationale behind Alibaba’s decision to continue spending aggressively on AI.

Alibaba’s AI Business Momentum

AI Demand
   ↓
More Cloud Customers
   ↓
Higher AI Compute Usage
   ↓
Alibaba Cloud Revenue
   ↓
+45% AI Cloud & Compute Growth
   ↓
More Infrastructure Investment
   ↓
More AI Capacity

The company is effectively reinvesting heavily into infrastructure in anticipation of much larger future AI demand.

Alibaba Wants To Become A Full-Stack AI Company

Alibaba’s transformation goes beyond adding AI features to its existing e-commerce businesses.

The company is building capabilities across chips, cloud infrastructure, large language models and AI applications.

Its Qwen model family has become a major part of the strategy, while Alibaba is also developing proprietary chips to reduce dependence on external semiconductor suppliers.

Alibaba’s AI Stack

                 ALIBABA AI
                     │
        ┌────────────┼────────────┐
        ▼            ▼            ▼
      Chips      Infrastructure   Models
        │            │            │
        └────────────┼────────────┘
                     ▼
                 Alibaba Cloud
                     │
                     ▼
              AI Applications
                     │
                     ▼
                Enterprise
                 Customers

This vertically integrated approach could potentially improve economics over time if Alibaba can increase utilization of its proprietary hardware and AI infrastructure.

CEO Expects AI Investment To Pay Back

Alibaba CEO Eddie Wu has argued that the company’s heavy AI spending represents a long-term investment rather than simply an increase in costs.

The company expects its AI computing investments to reach break-even within three years, with the payback period potentially shortening to around two years if gross margins continue improving.

That expectation is important because Alibaba is committing substantial capital at a time when its AI operations are still developing commercially.

Alibaba’s AI Investment Logic

StageExpected Outcome
Heavy infrastructure spendingIncrease computing capacity
More AI capacitySupport growing customer demand
Higher cloud utilizationIncrease AI revenue
Proprietary chipsImprove cost efficiency
Greater scaleImprove margins
Long-term monetizationRecover AI investment

The new $10.2 billion share sale could accelerate this process by giving Alibaba additional funding without relying entirely on operating cash flow.

Strong Investor Demand Supports The Deal

The share placement has reportedly attracted strong investor interest.

Indications of interest received by banks exceeded the size of the offering, with sovereign wealth funds and global long-only investors among those showing interest, according to a person familiar with the matter cited by South China Morning Post. The strong demand prompted Alibaba to increase the offering size to HK$80 billion.

This suggests institutional investors remain willing to finance Alibaba’s AI strategy despite the company’s recent decline in profitability.

Investor Interest

Global Investors
       │
       ├── Sovereign Wealth Funds
       │
       ├── Long-Only Funds
       │
       └── Other Institutional Investors
                │
                ▼
       Strong Demand For Deal
                │
                ▼
      Alibaba Raises Target
          To HK$80 Billion

The response also indicates that investors may be prioritizing Alibaba’s long-term AI opportunity over its near-term earnings pressure.

Shareholders Face Dilution

Although the fundraising provides Alibaba with additional capital, issuing 710 million new shares also creates dilution for existing shareholders.

New shares increase the total number of shares outstanding, meaning existing investors will own a slightly smaller percentage of the company unless they participate in the offering.

However, Alibaba is effectively exchanging some ownership dilution for additional capital that management intends to deploy into its fastest-growing strategic area.

Share Sale Trade-Off

AdvantagePotential Cost
$10.2 billion fresh capitalShareholder dilution
Accelerates AI investmentHigher execution risk
Strengthens balance sheet flexibilityMore shares outstanding
Expands computing capacityNear-term earnings pressure
Supports AI leadership ambitionsReturn on investment uncertain

The ultimate benefit to shareholders will depend on whether Alibaba can generate sufficient returns from the additional AI investment.

Alibaba’s AI Strategy Comes At A Critical Time

Alibaba is competing in an increasingly crowded Chinese AI market.

Chinese technology companies including Tencent and Baidu are also investing heavily in AI infrastructure and models, while newer AI companies are attracting substantial capital.

At the same time, U.S. technology companies are spending enormous amounts on AI infrastructure.

Reuters reported that major U.S. technology companies are projected to spend about $725 billion on capital expenditure related to AI in 2026.

This means Alibaba’s investment is part of a much broader global competition for computing power.

AI Infrastructure Is Becoming A Capital-Intensive Business

The latest fundraising highlights how expensive frontier AI has become.

Training advanced models requires large quantities of accelerators, high-performance networking, data centers and electricity. Running AI models at commercial scale adds another layer of infrastructure costs.

Alibaba’s $10.2 billion fundraising therefore represents only one component of a much larger long-term investment program.

The company previously committed to spending 380 billion yuan, or roughly $56 billion, over three years on AI and cloud infrastructure. It has already spent about half that amount, according to Reuters.

Alibaba’s AI Investment Scale

InvestmentAmount
New share placementHK$80B / ~$10.2B
Three-year AI/cloud investment plan380B yuan / ~$56B
Capital expenditure in latest quarter67.68B yuan / ~$10B
AI Cloud & Compute revenue~$7.1B quarterly
AI Cloud & Compute growth+45%

The new share sale could therefore provide additional funding on top of Alibaba’s existing AI investment program.

Proprietary Chips Could Improve Margins

One of Alibaba’s longer-term goals is to use its own semiconductor technology more extensively inside its data centers.

The company has been developing proprietary chips that could reduce reliance on commercially available processors and potentially improve the cost economics of AI computing.

Reuters reported that Alibaba expects deploying its own chips in its data centers to help improve margins and reduce reliance on commercial chips.

Why Custom Chips Matter

Commercial AI Chips
       │
       ▼
High Procurement Costs
       │
       ▼
Pressure On AI Margins

          VS.

Alibaba Proprietary Chips
       │
       ▼
Greater Hardware Control
       │
       ▼
Potentially Lower Compute Costs
       │
       ▼
Better Long-Term Margins

However, developing competitive AI chips requires significant engineering investment and manufacturing capacity, meaning the financial benefits may take time to materialize.

Alibaba Is Shifting Away From Non-Core Businesses

The share sale is also taking place alongside Alibaba’s broader effort to focus resources on AI and other strategic businesses.

The company recently agreed to sell its Lingxi Games business to private-equity firm Trustar Capital in a transaction expected to exceed $2 billion. Alibaba has also divested other non-core assets as it sharpens its focus on AI, cloud and e-commerce.

This suggests that Alibaba is pursuing two complementary strategies: raising fresh capital for AI while freeing up resources by selling businesses that are less central to its future plans.

The Bigger Picture

Alibaba’s planned HK$80 billion share sale marks a major escalation in the company’s AI investment strategy. The $10.2 billion fundraising will be used entirely to expand its full-stack AI capabilities, including chips, infrastructure and AI model development and deployment. The transaction would be the largest primary follow-on offering by a Hong Kong-listed company and comes as Alibaba attempts to transform itself from an e-commerce and cloud company into a major global AI player.

The timing is significant because Alibaba’s AI ambitions are already placing considerable pressure on its finances. Quarterly capital expenditure jumped 75%, while net profit fell roughly 75%, even as AI Cloud and Compute Services revenue increased 45%. The new capital could allow Alibaba to maintain its aggressive investment pace without relying entirely on operating cash flow, but shareholders will ultimately judge the strategy on whether those investments translate into sustainable AI revenue and stronger margins.

Looking Ahead

Alibaba’s immediate priority will be deploying the new capital into additional AI computing capacity, infrastructure, chips and model development. The company is betting that continued growth in AI cloud services will eventually generate enough revenue and margin improvement to justify the enormous upfront investment. Strong institutional demand for the share placement suggests that many investors are willing to finance that long-term strategy.

The bigger test will come over the next several years as Alibaba competes against Chinese technology giants and global AI leaders for customers, computing capacity and model adoption. If AI demand continues expanding rapidly, Alibaba’s decision to build capabilities across chips, infrastructure and models could give it a powerful position in the market. If monetization fails to keep pace with spending, however, the company could face prolonged pressure on profits and shareholder returns

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