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Cloud Growth Enters a New Phase: From Rapid Expansion to Optimization and Cost Efficiency


Cloud Growth

Recent earnings reports from major cloud service providers have revealed outlooks that fell short of investor expectations, leading to notable market reactions. Amazon's AWS reported a 19% revenue increase to $28.79 billion, slightly below analyst projections, contributing to a 4% drop in Amazon's share price. Similarly, Microsoft's Intelligent Cloud segment saw a 19% revenue rise to $25.54 billion, but this growth was tempered by capacity constraints in data centers, resulting in a 4.5% decline in Microsoft's shares. Alphabet's Google Cloud also experienced a slowdown, with revenue growth decelerating to 30.1% from the previous quarter's 35%, leading to a 7% decrease in Alphabet's stock value.

Why Cloud Growth is Slowing

  • Capacity Constraints – The rapid expansion of AI services has led to significant investments in data center infrastructure. However, cloud providers are encountering delays in acquiring necessary hardware and securing adequate power supplies, hindering their ability to meet growing demand.
  • Exponential growth times are over – The rapid cloud migration of the past decade is slowing as most enterprises that intended to transition have already done so. There are fewer large-scale migrations left, shifting the market from expansion to optimization.
  • Transition from "Lift and Shift" to Optimization – Initially, many companies moved workloads from data centers to the cloud without redesigning them for efficiency, often leading to higher-than-expected costs. Now, businesses are restructuring their cloud architectures to optimize workloads and reduce spending.
  • Belt-tightening across tech – Many tech companies have entered a cost-cutting phase, implementing layoffs and trimming excess spending. Since cloud expenses are often the second-biggest cost after HR, companies are actively looking for ways to reduce their cloud bills.

While the cloud sector is still growing, the days of easy, double-digit expansion purely from cloud adoption are over. Companies are now focusing on efficiency rather than expansion, leading to more tempered growth projections for cloud providers. Infrastructure limitations, changing customer behavior, and corporate budget tightening all contribute to a more cautious outlook.


About The Author

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Sia Gholami

Sia Gholami is a distinguished expert in the intersection of artificial intelligence and finance. He holds a bachelor's, master's, and Ph.D. in computer science, with his doctoral thesis focused on efficient large language models and their applications—an area crucial to the development of advanced AI systems. Specializing in machine learning and artificial intelligence, Sia has authored several research papers published in peer-reviewed venues, establishing his authority in both academic and professional circles.

Sia has created AI models and systems specifically designed to identify opportunities in the public market, leveraging his expertise to develop cutting-edge financial technologies. His most recent role was at Amazon, where he worked within Amazon Ads, developing and deploying AI and machine learning models to production with remarkable success. This experience, combined with his deep technical knowledge and understanding of financial systems, positions Sia as a leading figure in AI-driven financial technologies. His extensive background has also led him to found and lead successful ventures, driving innovation at the convergence of AI and finance.