ASIA BUSINESS OUTLOOK8APRILNEWSROOM ALIBABA CHAIRMAN HIGHLIGHTS CHINA'S AI EDGE IN POWER AND DATA STRATEGYAWS expands data center footprint in India with a major $15.3B investment across Mumbai and Hyderabad, boosting cloud capacity, AI services, and job creation.The company has signed letters of intent with six to eight providers, including Sify Technologies, Yotta Data Services, NTT Data, CtrlS, and CapitaLand, as part of its plans to meet growing cloud demand.Amazon Web Services currently operates two cloud regions in India: Mumbai, launched in 2016, and Hyderabad, launched in 2022. In January 2025, AWS announced a US$8.3 billion investment to expand its Mumbai region, projecting an overall contribution of US$15.3 billion to India's GDP by 2030 and creating approximately 81,300 jobs annually.· AWS expands Mumbai and Hyderabad data centers with $15.3B investment· High-capacity network with Tata Communications to support AI workloads· Renewable-powered data centers and IPO plans from Sify for growthThe Hyderabad expansion, valued at US$7 billion, will support AI/ML-enabled services and broader cloud infrastructure, although high-performance computing applications were not explicitly cited.AWS is also partnering with Tata Communications to build a high-capacity network linking Mumbai, Hyderabad, and Chennai, targeting data-intensive workloads including generative AI and HPC.India's hyperscale data center market is forecast to grow from US$9.51 billion in 2025 to US$53.68 billion by 2031, driven in part by regulatory mandates such as the Digital Personal Data Protection Act, which encourages in-country data storage and processing.Infrastructure challenges, including grid congestion near Mumbai, have prompted some developers to explore locations beyond the metro area. Renewable energy is increasingly prioritized, with Sify having PPAs totaling 231 MW of solar and wind capacity for its data center portfolio.Sify also plans an IPO for its data center unit, Sify Infinit Spaces, to fund expansion and refinance debt. These initiatives highlight AWS's strategic commitment to growing India's cloud infrastructure and supporting the nation's digital and AI-driven economy. At the China Development Forum 2026 in Beijing, Alibaba chairman Joe Tsai highlighted the factors driving China's AI progress, including heavy investment in power infrastructure, commitment to open-source AI models, and the country's manufacturing supply chain.Tsai noted that China spends about US$90 billion annually on power transmission, and last year's newly installed power generation capacity was ten times that of the U.S., reducing energy constraints for AI operations.He emphasized that open-source models have lowered barriers to AI development, while China's industrial base generates large volumes of data to train industrial AI systems.· China's AI growth fueled by $90B power investment and open-source models· Alibaba's Qwen AI app integrates payments, shopping, and travel services· Over 200B yuan planned for AI R&D, with energy overbuild easing deploymentAlibaba is deploying AI applications using its Qwen model, which includes consumer-facing features such as ordering food, making payments, and planning travel, leveraging Alibaba's ecosystem including Taobao and Alipay.Government officials, including Industry and Information Technology Minister Li Lecheng and Xiaomi CEO Lei Jun, discussed plans for over 200 billion yuan in AI and R&D investment over the next five years.Analysts point out that China's overbuilt energy capacity allows AI data centers to absorb excess supply, contrasting with the U.S., where regional grids operate near 15% reserve margins, and private capital-driven projects face long payback periods, potentially slowing AI deployment.While Tsai's remarks underscored China's advantages in energy infrastructure and data, experts note U.S. grids and corporate AI ecosystems differ, and the claim that no U.S. company matches Alibaba's integrated consumer AI is not fully established.Nonetheless, Alibaba's ecosystem integration may accelerate transaction-ready AI applications, demonstrating how infrastructure, policy, and data availability shape AI adoption speed. AWS EXPANDS DATA CENTER FOOTPRINT IN MUMBAI & HYDERABAD
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