China's AI Cooperation in the GCC: Complementarity Without Interdependence

I have been having a few meetings with scholars and policy researchers in the Washington tech bubble focused on new U.S.-GCC tech investments and GCC posturing as they develop their AI ecosystems. I realized that it was not immediately clear how Chinese scholars viewed its tech relationship with GCC countries. The more I researched, the more I believe the view from China on tech cooperation with GCC is underrepresented in the discourse and deserves more attention.

Beijing approaches the GCC from a position of technological self-sufficiency. When Chinese scholars assess AI cooperation with the Gulf Cooperation Council (GCC) states, there is consensus among Chinese scholars that the partnership as strategically valuable but technologically unnecessary. Chinese scholars tend to frame the tech relationship with the GCC as one of complementarity (互补, hùbǔ) rather than interdependence (相互依存, xiānghù yīcún). They view the GCC as a valuable partner for deployment and scaling, but that the flow of technology is a one-way street—from China to the GCC, not the other way around. In other words, China supplies AI infrastructure to build the Gulf's AI ecosystem, and Gulf countries provide the capital and markets for China to fund the deployment.

This framing is consistent with how Beijing reckons with its position toward global AI competition. The Biden-era tightening of U.S. chip restrictions forced China to move to reduce its dependence on all foreign dependencies in its tech stack. Chinese scholars generally agree on the merits of technological self-sufficiency (自主可控, zìzhǔ kěkòng), but diverge on Beijing's continued integration in global technology supply chains.

Sino–GCC AI and technology cooperation, in its current period, can be understood through "complementarity over interdependence or co-innovation." Under this framework, China and the Gulf states occupy structurally distinct yet mutually reinforcing positions. China functions as the primary supplier of advanced technologies and development pathways, while Gulf partners contribute capital, deployment environments, and political alignment on governance norms. The relationship is complementary in function but asymmetric in dependency.

This asymmetry is deliberate. Chinese scholars consistently avoid framing Gulf cooperation as technologically interdependent or indispensable to China's domestic innovation ecosystem. Instead, the Gulf is positioned as a downstream arena for technology deployment, market expansion, and regulatory alignment. China's interest lies not in absorbing Gulf-generated innovation into its domestic AI ecosystem (even though GCC states aspire to develop their own domestic AI industries), but in exporting mature or near-mature technologies abroad to scale usage, shape norms, and reduce third-party reliance on Western systems. For Beijing, cooperation reinforces China's technological autonomy rather than diluting it through mutual dependence.

Fudan University scholar Sun Degang's co-authored work with Wu Tongyu exemplifies this logic. Writing in February 2021, they describe China–Arab technology cooperation as a brand-new field characterized by functional complementarity: Gulf Arab states provide capital and deployment capacity, while China supplies technology, expertise, and development models. Crucially, this cooperation is framed as a pathway for developing countries to escape Western technological monopolies. The asymmetry preserves China's technological sovereignty while extending its influence abroad. In an earlier piece, Sun and co-author Yahia Zoubir identified this pattern of asymmetric partnership as central to Beijing's Middle East strategy—economic engagement that advances China's strategic interests while avoiding the security entanglements that characterized Cold War-era great power competition in the region.

Technology cooperation is cast as an instrument of order-shaping, not mutual vulnerability. By extending Chinese systems abroad without entangling its own innovation pipeline, Beijing preserves technological sovereignty while expanding influence.

This framing is reinforced by Xiao Qian at Tsinghua University's Center for International Security and Strategy. Xiao situated China's AI cooperation with the Global South—including the GCC—within a broader critique of U.S. technology restrictions and small yard, high fence policies. In her view, China's role is that of an enabler: providing technology, standards, and governance frameworks that help developing countries close AI capability gaps while resisting Western exclusionary practices. Yet this model presumes that China's domestic AI ecosystem remains self-sufficient. The Gulf is valuable precisely because it does not substitute for, or interfere with, China's internal technological base.

The relationship reflects what I refer to as asymmetric strategic complementarity. This describes a cooperative relationship in which two states' capabilities align functionally but unequally, allowing the stronger actor to extend influence and scale its systems while preserving autonomy and avoiding reciprocal dependence. This helps explain a persistent tension in Chinese analyses. The Gulf is often portrayed as strategically important but never structurally necessary. This explains why Chinese scholars emphasize cooperation in deployment-heavy sectors—cloud computing, smart cities, data centers, AI applications—while remaining largely silent on joint frontier research or upstream semiconductor co-development. Much of this happens in China. The GCC is treated as a governance and scaling partner rather than a source of innovation critical to China's technological trajectory.

This framework also illuminates a blind spot in Chinese scholarship. By emphasizing complementarity over interdependence, Chinese analysts tend to under-theorize Gulf agency—particularly the constraints imposed by security alliances and Western regulatory ecosystems. Yet as Tin El Kadi's research demonstrates, GCC states seek to actively shape these technology partnerships rather than serving as passive recipients of Chinese systems. Local regulatory requirements, data sovereignty mandates, and strategic hedging between U.S. and Chinese technology ecosystems all reflect Gulf agency in determining the scope and limits of cooperation. The GCC's renewed integration with Western technology stacks in late 2025 demonstrates that deployment arenas remain politically contingent.

Is the "complimentary without interdependence" thesis reinforced by practical investments? The empirical record of Chinese technology investments in Gulf markets between 2022 and 2025 appears to support the assessment. Chinese firms have embedded their technological capabilities across cloud infrastructure, AI platforms, and smart-city systems in Gulf markets. While Gulf investment in China exists, it remains marginal compared to Chinese incoming investment flows.

In 2022, Alibaba Cloud and Saudi Telecom (STC) launched the Saudi Cloud Computing Company, opening two public-cloud data centers in Riyadh to serve domestic government and enterprise demand. The joint venture structure paired Alibaba's cloud architecture and management stack with STC's local network access and market position. Huawei Cloud followed in 2023, announcing a USD 400 million, five-year commitment to establish its first Middle East cloud region in Riyadh, delivering localized AI and cloud services to Saudi government and enterprise users. Huawei executives explicitly framed the project as a bridge for bringing additional Chinese firms and technologies into the Saudi market.

This outward-scaling logic intensified in 2025. At the LEAP technology conference, Tencent Cloud announced a USD 150 million Middle East cloud hub in Riyadh—its first in the region—designed to provide cloud and AI services for gaming, smart-city analytics, and enterprise applications aligned with Saudi Vision 2030. Each deployment follows the same model: Chinese cloud architectures, developed and proven domestically, are adapted for Gulf regulatory requirements and demand profiles, with Gulf capital enabling regional buildout.

AI-specific cooperation reinforces the pattern. In 2022, Chinese AI firm SenseTime and the Saudi Company for Artificial Intelligence (SCAI) formed SenseTime MEA, backed by SAR 776 million (approximately USD 207 million) in Saudi investment to deploy SenseTime's AI technologies in smart cities, healthcare, and education. While the venture includes local development activity, the core models and intellectual property remain Chinese. Saudi capital enables localization and commercial scale, but it does not generate upstream innovation feeding back into China's domestic AI ecosystem—this is tailored deployment of technology specifically for the Saudi market.

In the United Arab Emirates, Alibaba Cloud opened its second Dubai data center in 2025, expanding regional capacity to support finance, logistics, and digital-government clients under UAE data-localization rules. The expansion was explicitly tied to Alibaba's global cloud growth strategy. Chinese firms also exported turnkey smart-city systems across the GCC. In Qatar, Huawei was contracted to deliver the smart-city digital backbone for Gewan Island, integrating citywide connectivity, command-and-control platforms, and on-site data-center infrastructure. In Kuwait, state-owned China Gezhouba Group secured USD 1.12 billion in contracts to build South Saad Al-Abdullah, the Gulf's first large-scale smart and green city, exporting Chinese construction, digital-infrastructure, and urban-management systems at scale.

Across these cases, the investment profile consistently points toward embedding technology and expertise in the same pattern: Chinese firms deliver cloud architectures, AI platforms, and smart-city systems developed domestically, and Gulf partners contribute capital, regulatory accommodation, and demand linked to national development visions. Where localization occurs—such as Arabic-language AI applications or compliance with data-sovereignty rules—it remains at the application and deployment layer, not at the level of core AI research, semiconductor design, or foundational model development. These adaptations expand Chinese technology's market reach. This pattern reflects what analysts have termed reverse data dependency: Gulf countries use Chinese technology platforms, but the algorithms process locally generated data, enhancing Chinese firms' algorithmic capabilities through access to diverse regional datasets without requiring fundamental technology transfer from the Gulf to China.

Chinese investment and record of cooperation supports the complementary, not interdependent hypothesis. China does not treat the GCC as a critical upstream partner for its own AI production or innovation ecosystem. Instead, the Gulf serves three interlinked strategic functions: 1) it is a proving ground for Chinese technology systems outside Western markets, 2) a source of investment capital that accelerates Chinese firms' global expansion, and 3) a governance partner helping Beijing build alternative technology frameworks beyond U.S.-dominated institutions. China does not need Gulf expertise to sustain its AI trajectory—but the trend in investments suggests it wants Gulf markets, capital, and political alignment to extend the reach of its technological systems.

Yet this relationship unfolds within a competitive GCC landscape. Roa Al Shidhani and Saranjam Baig underscore that economic disparities among GCC states generate competition for Chinese technology investments, particularly between Saudi Arabia, the UAE, and Qatar. While all six states pursue economic diversification through digital transformation, differences in hydrocarbon endowments and wealth levels shape their respective approaches. Saudi Arabia and the UAE, with their larger resource bases and GDP per capita, compete most directly for flagship Chinese AI and cloud partnerships, while smaller GCC economies seek more targeted engagements. This intra-GCC competition strengthens China's bargaining position, allowing Chinese firms to negotiate favorable terms as Gulf states vie to position themselves as regional technology hubs.

The result is a relationship that is stable and limited, with possibility to scale if geopolitical dynamics change. It is resilient so long as political conditions between China and the GCC allow deployment, yet limited in its capacity to transform the underlying balance of technological power. So far, those political conditions are bending in favor of stronger US-GCC technological cooperation. China can walk away without structural damage; the Gulf cannot. Understanding this asymmetry is essential for GCC policymakers seeking to navigate between access and autonomy—and for analysts assessing how multipolar competition in AI is likely to evolve. Both proponents of greater Chinese technological self-reliance and advocates of continued openness to global markets agree on one fundamental point: the GCC provides valuable markets, capital, and strategic alignment, but not the technological inputs essential to China's AI development. For China, Gulf cooperation offers strategic benefits without creating structural dependencies. For the Gulf, the challenge remains converting market access into genuine technological independence.

Complementarity may be sufficient for China's strategic ambitions, but for the Gulf, the harder question remains unanswered: how to turn access into independence in a world where technology partnerships are increasingly instruments of power rather than pathways to parity.