AI Drives Alphabet Past Expectations, Powered by Cloud
Meanwhile, shareholders call for tighter oversight for AI applications in surveillance and military applications.
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[Image source: ChetanJha/MITSMR Middle East]
Alphabet’s latest earnings suggest that its long-promised AI dividend is beginning to materialize. The standout was its cloud unit, which delivered its fastest reported growth to date, driven by enterprise demand for AI services.
The Google parent reported first-quarter revenue of $109.9 billion, up 22% year over year and ahead of analyst expectations. Shares rose more than 6% in after-hours trading.
Chief Executive Sundar Pichai stated that the company’s enterprise AI offerings are its “primary growth driver” in the cloud sector for the first time. Revenues from these offerings have increased eightfold year over year. These results indicate a potential turning point for Alphabet, as its cloud business, which has historically struggled, is now gaining momentum due to the impact of generative AI on spending priorities.
The performance highlights a broader industry pattern of hyperscalers converting years of AI research into commercial products, particularly in cloud infrastructure and tools. For Alphabet, this may help justify heavy capital expenditure on AI models and infrastructure, while strengthening its competitive position against peers such as Microsoft and Amazon.
At the same time, governance concerns are intensifying. A coalition of investors managing over $1 trillion in assets has asked Alphabet to clarify how it oversees the use of its cloud and AI technologies in high-risk contexts, including surveillance and military applications. The group cited the company’s involvement in government contracts and its 2025 revision of AI Principles, which removed explicit prohibitions on certain weapons and surveillance use cases.
Alphabet has pushed back, stating that it already maintains a “robust, multi-layered framework” for data privacy and security, and arguing that additional disclosures would be redundant. But as AI systems become embedded in state functions, scrutiny is expanding beyond performance and profitability to include governance, oversight, and ethical risk.
Recently, the U.S. Department of Defense has indicated plans to expand its use of Alphabet’s Gemini model, while similar debates are unfolding across competitors, including Apple.
