US-China technology competition shifts to global market: AI and cloud infrastructure become new battlefield

US-China Tech Competition Shifts to Global Markets: AI and Cloud Infrastructure Become the New Battlefield

Introduction

The US-China tech rivalry is spreading from domestic markets to the global stage. Chinese tech companies are accelerating the deployment of data centers and AI applications overseas, while the US is consolidating its technology ecosystem through policy alliances and supply chain initiatives. This competition is no longer just about model capabilities, but a systemic struggle over cloud computing infrastructure, industrial integration, and platform ecosystems. A PwC report notes that Chinese companies have taken the lead over the US in cross-industry AI collaboration, while McKinsey predicts that the Asia-Pacific region will account for 34% of global data center demand by 2030. These trends are profoundly reshaping the geographic landscape and business logic of the digital economy.

Event Background

According to CNBC, from the China International Supply Chain Expo in Beijing to the second Pax Silica Summit in Washington, the technological rivalry between the US and China is intensifying. Chinese Premier Li Qiang stated at the Summer Davos Forum that global downloads of China's open-source AI models have reached 10 billion, and pledged a more proactive integration into the global innovation chain. The US State Department has brought the EU, Germany, and Greece into the Pax Silica initiative, aiming to secure technology supply chains, and has launched an advanced manufacturing project in collaboration with Stanford University. Meanwhile, Chinese tech giant Alibaba has established its third European data center in France, while ByteDance and Alibaba are heavily investing in data centers across Asia. Morgan Stanley has doubled its forecast for China's humanoid robot shipments in 2026 to 50,000 units, indicating accelerating commercialization.

Digital Economy Analysis

#### User Growth and Platform Expansion

The overseas expansion of Chinese tech companies is shifting from app exports to infrastructure exports. Alibaba Cloud's presence in Europe directly reaches local enterprise customers, reducing latency and improving reliability, which is expected to attract more users in time-sensitive sectors like finance and manufacturing. ByteDance's Lark (Feishu) has partnered with Honeywell China to integrate AI capabilities into manufacturing management systems. This enterprise-level service going overseas will drive growth in the B2B user base. Compared to consumer applications, infrastructure-level expansion offers stronger stickiness and can generate more powerful network effects—the denser the data centers, the greater the appeal to the surrounding ecosystem.

#### Data Value and Network Effects

The global deployment of data centers is not just an increase in physical assets, but also an enhancement of data mobility. By keeping data on localized nodes, Chinese companies can meet data sovereignty requirements while leveraging cross-border data flows to train multilingual, multi-scenario AI models. For example, Alibaba Cloud's data in Europe can be used to optimize local supply chain algorithms while being fed back to China for model iteration, creating a data flywheel. In comparison, US tech giants like AWS and Azure already have massive global nodes, but Chinese companies' low-cost AI model capabilities could become a differentiating advantage, attracting price-sensitive small and medium-sized enterprises.

Business Model Observations

#### Cloud Computing: From Selling Resources to Selling CapabilitiesAlibaba and ByteDance's cloud businesses are upgrading from IaaS to PaaS and SaaS. The cooperation case between Honeywell and ByteDance's Lark shows that Chinese companies are beginning to provide "industry solutions" that integrate AI, rather than just computational power. This model can increase customer stickiness and profit margins, similar to the combination of Microsoft Azure and OpenAI. A PwC report shows that the frequency of AI cross-industry collaboration among Chinese companies is much higher than in the US, which may give rise to more AI-centric platform-based subscription models.

#### AI Commercialization: Open-Source-Driven Ecosystem Building

Chinese open-source AI models have been downloaded 10 billion times globally, meaning that a large number of developers and companies are using these models for secondary development. The open-source strategy lowers the entry barrier for AI applications, but the training and inference behind the models still rely on cloud services—precisely the profit point for Chinese cloud vendors. ByteDance and Alibaba can learn from the open-core plus enterprise edition charging model, or monetize through providing hosting services and fine-tuning tools. This contrasts with the strategies of US companies like Anthropic and OpenAI, which emphasize proprietary models, but each has its advantages.

Market Competition Analysis

#### The US-China Cloud Service Rivalry in Asia

McKinsey predicts that Asia-Pacific will account for 34% of global data center demand by 2030, almost rivaling North America (46%). Alibaba and ByteDance are actively building data centers in Southeast Asia, Indonesia, and other regions, competing head-on with AWS, Azure, and GCP. Chinese vendors' advantages lie in price and economical AI models, while US vendors' advantages are mature enterprise ecosystems and global compliance experience. In the short term, small and medium-sized enterprises and local governments may favor China's low-cost digital transformation proposals, but heavily regulated industries such as finance will still lean toward US clouds.

#### AI Integration in the Industrial Manufacturing Sector

The cooperation between Honeywell and ByteDance demonstrates a new form of competition: traditional industrial giants use Chinese AI platforms to improve efficiency instead of directly purchasing US AI software. This "Chinese technology + global manufacturing" cooperation model may weaken the US AI advantage in vertical industrial sectors. At the same time, the US Pax Silica initiative attempts to establish a "technology alliance," requiring participating countries to avoid developing alternative systems, posing a policy risk for Chinese companies' overseas expansion.

Data and Regulatory Impacts

#### Data Sovereignty and Cross-Border Flows

Europe's General Data Protection Regulation (GDPR) and China's Data Security Law both emphasize data localization. Alibaba is building data centers in Europe to comply with regulations while exploring compliance pathways using the EU-China data protection framework. The US Pax Silica initiative directly advocates for the use of US technology and restricts allies from adopting Chinese solutions. In the future, multinational corporations may need to deploy a multi-cloud strategy, using different vendors in different regions, which increases costs but reduces geopolitical risks.

#### Divergence in AI RegulationChina emphasizes both "responsible AI" and industrial application, while the United States focuses more on technological leadership and supply chain security. The two sides discuss AI governance on platforms such as APEC, but struggle to reach unified standards. For Chinese tech companies, overseas operations face dual pressure from U.S. long-arm jurisdiction and local data regulations; for U.S. companies, using AI in the Chinese market also encounters regulatory restrictions. This divide will give rise to more regionalized AI compliance service providers.

Global Trend Observations

#### From Model Competition to Ecosystem Competition

A CNBC report explicitly states: "The global AI race is clearly no longer just about who builds the smartest model, but about ecosystems." This means the future market winners may not be the companies with the strongest technology, but platform-based firms that can integrate hardware, software, data, channels, and partners. Chinese companies are building unique ecosystems leveraging their manufacturing base and open-source strategies, while U.S. companies maintain advantages through policy tools and brand loyalty.

#### Geographic Rebalancing of the Digital Economy

The Asia-Pacific region is becoming a new digital growth engine. The internationalization of Chinese companies is not a simple replication of business, but an export of domestically proven AI applications (such as smart manufacturing and supply chain optimization). This could shift the geographic center of the digital economy from Silicon Valley to Shenzhen and Beijing, with emerging markets exposed to both Chinese and U.S. technology systems, thereby accelerating local innovation.

#### Industrialization of Humanoid Robots as a Foreshadowing

Morgan Stanley has doubled its forecast for humanoid robot shipments in China to 50,000 units. This is not just an upgrade in manufacturing, but a fusion of AI with the physical world. When Chinese robots equipped with self-developed AI models are sold to factories worldwide, they will generate massive amounts of industrial data to further train algorithms. Although Tesla's Optimus holds a lead, the cost advantage of Chinese companies may enable them to achieve large-scale deployment earlier, reshaping the global manufacturing competitive landscape.

DigitalEcoNews InsightThe U.S.-China technology competition has entered a phase of global market争夺, with economic implications far beyond trade wars. Chinese companies are exporting AI and cloud computing capabilities overseas, reshaping the global digital infrastructure landscape through open-source models and low-cost cloud services. The impact on the global digital economy is threefold: First, platform competition will rely more on ecosystems than on singular technological advantages, and a "dual-cloud" scenario between China and the U.S. may emerge within the next five years, forcing multinational enterprises to adopt multi-cloud strategies. Second, data localization and supply chain security will become the norm, increasing compliance costs for enterprises but also giving rise to new service markets. Third, industrial AI integration will accelerate, and China’s experience in applying AI in manufacturing could translate into global standards. For investors and corporate decision-makers, it is crucial to closely monitor the overseas revenue share of Chinese cloud vendors, procurement policies of Pax Silica member states, and the commercial monetization progress of open-source AI models. In the short term, the U.S. maintains technological barriers through political means, but in the long run, economic laws may favor cost-effective solutions. There is no winner-takes-all in this competition, but it will shape the underlying structure of the digital economy over the next decade.