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    🇨🇳中国·AI 新闻·2026年8月27日·来源: SCMP

    Alibaba pushes into South America’s AI market with launch of Brazil data centres

    内容仅提供英文版本

    Alibaba Group Holding has launched its first data centers in South America, establishing two facilities in Brazil. This expansion aims to provide local enterprises with secure cloud infrastructure and a suite of "agentic AI services." The move reflects Alibaba's strategy to build out its artificial intelligence infrastructure in emerging markets, particularly amid the intensifying US-China AI rivalry. Allen Guo, Alibaba Cloud's general manager for Latin America, stated that Brazil is a key market for the company's regional expansion. The new infrastructure will offer Brazilian businesses, startups, developers, and public institutions direct access to cloud services designed for low latency and data governance.

    Nexa 摘要

    Alibaba's new data centers in Brazil, offering "agentic AI services," represent a clear push into emerging markets for its cloud and AI infrastructure. While the immediate focus is South America, this expansion reflects a broader strategy by Chinese tech giants to diversify their global footprint and secure new growth avenues outside of mainland China. The company's statement about Brazil being a "dynamic digital economy" points to a deliberate targeting of regions with high potential for digital transformation and AI adoption. This move also provides a counterpoint to the US-China AI rivalry, with Chinese firms actively building capabilities in regions where Western influence may be less dominant. The thing to watch for Asia is how this strategy impacts Alibaba Cloud's investments and competitive positioning in Southeast Asia and other parts of the continent. If the Brazil model proves successful, it could accelerate similar infrastructure buildouts in Asian emerging markets, intensifying competition with established players like Amazon Web Services and Microsoft Azure. The focus on "agentic AI services" suggests Alibaba is not just offering raw cloud capacity but also higher-value AI tools, which could influence the types of AI solutions adopted by enterprises in these regions.

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