GCP outgrew AWS and Azure in Q1

Cloud growth used to be a pretty stable hierarchy. AWS was the scale leader, Azure was the fast AI beneficiary, and Google Cloud was the smaller player trying to close the gap. But Alphabet’s April 29, 2026 earnings changed the tone. Google Cloud didn’t just grow fast in Q1 — it accelerated to 63% growth, crossed $20 billion in revenue for the first time, and tied that surge directly to AI models and AI infrastructure. (abc.xyz) ### Did Google Cloud really outgrow Azure? Yes — on the numbers companies have actually published for the same broad period. Alphabet said Google Cloud revenue grew 63% in Q1 2026. Microsoft, reporting for the quarter ended March 31, 2026, said Azure and other cloud services grew 33% in constant currency. That makes the “Google outgrew Azure” claim straightforward. (abc.xyz) ### What about AWS? That part is murkier. I couldn’t find an official Amazon investor release with a Q1 2026 AWS growth figure in the material surfaced here, so the clean comparison is Google versus Azure, not a verified three-way sweep. Social posts may be extrapolating from older AWS growth rates or from channel checks, but(abc.xyz) the March quarter, and may have outgrown AWS too, but that second claim needs Amazon’s actual number. (abc.xyz) ### Why did Google jump this hard? Google itself gave the answer pretty plainly. The biggest contributor was AI solutions, driven by demand for Gemini 3, and it also saw strong AI infrastructure growth from continued TPU and GPU deployment. Core GCP still mattered, but the standout was AI demand. Basically, this was not a generic cloud rebound. It was customers buying model access and the compute needed to train and serve AI systems. (abc.xyz) ### Why do TPUs matter here? Because TPUs are Google’s in-house accelerator chips, and they give Google something AWS and Azure do not have in quite the same form — a vertically integrated stack from model to silicon to cloud service. If customers want Gemini hosting, or want capacity tuned around Google’s own AI systems, Goo(abc.xyz)al model. This is partly inference, but also a control story. (abc.xyz) ### Is one quarter enough to call a winner? No — and this is the catch. Azure is still enormous, deeply embedded in enterprise software, and still growing above 30%. AWS remains the cloud profit machine and could still post a strong number once Amazon reports. Google’s result shows a burst of momentum, not a settled new order. But momentum matters in cloud because capacity, backlog, and developer habits compound. (microsoft.com) ### What is the backlog number telling us? Alphabet said cloud backlog nearly doubled quarter over quarter to more than $460 billion. That is the loudest signal in the whole release. Backlog is not current revenue, but it is a queue of contracted demand waiting to be delivered. In plain English, Google is not just having a hot quarter — it is sitting on a giant pile of future work, much of it likely tied to AI capacity coming online. (abc.xyz) ### Why does this change the security conversation? Because AI-heavy cloud usage shifts what needs protecting. The crown jewels are no longer just databases and VMs. They are service accounts tied to model pipelines, tenancy controls around shared inference systems, and permissions around massive GPU and TPU clusters. When gr(abc.xyz)rd identity, workload isolation, and model-serving controls. (abc.xyz) ### Bottom line? The real news is not “Google beat everyone forever.” It is that AI demand was strong enough in early 2026 to make Google Cloud accelerate to 63% growth and briefly look like the hyperscaler with the most obvious upside. Azure is still huge. AWS still needs a fresh reported comparison. But Google just proved that owning the model, the chip, and the cloud can turn AI hype into very real revenue. (abc.xyz)