Cloud Wars Live with Bob Evans

In today’s Cloud Wars Minute, I analyze Q4 performance to reveal who’s truly leading in cloud growth right now.

Highlights

00:03 — We're just a couple weeks away from getting Q1 results of the hyperscalers and some other companies in the Cloud Wars Top 10, I wanted to take a look at these world-shaping companies. Let's start off by taking a quick look back at Q4 and some numbers for Google Cloud, Microsoft, and AWS.

00:34 — I'm not including Oracle in this hyperscaler comparison because it's on a different financial reporting schedule, and I recently covered Oracle's most recent financial results in detail. So if we compare the Q4 growth rates for Google Cloud, Microsoft, and AWS: 48%, 26%, 24%. Now some people say, “Oh, that's not fair. That's not legit. Google Cloud is so much smaller.”

01:01 — Let's look: $17.7 billion for Google Cloud, $51.3 billion for Microsoft, $35.6 for AWS. So AWS is about twice as big as Google Cloud, and relative to Microsoft, Microsoft is three times bigger than Google Cloud. Riddle me this: how then, if you look at Q4 cloud and AI revenue versus Q3, Google Cloud came up with more revenue — more incremental Q4 over Q3 revenue — $2.5 billion versus $2.4?

02:23 — Yet AWS came up with more — significantly more — revenue Q4 over Q3 than Microsoft did: $2.6 billion versus $2.4. Now what does that mean? Well, it could be a temporary blip. It could be an anomaly. I think all of these things are valid. They all are pointing toward bets that customers are making about who is the company best equipped to take my company into the AI future.

03:49 — Google Cloud came up with almost as much as AWS. And to me, that just says Google Cloud is the hot company right now. So let me wrap up here with an outlook for Q1. I think both Google Cloud and Microsoft say that they will be releasing their financial results for Q1 on April 29. I think we're going to see Google Cloud report a growth rate of 44%, Microsoft 25%, and AWS 23%.

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Highlights

00:09 — Microsoft’s global investments continue to grow. Latest news is the company plans to invest $10 billion into Japan over the next three years to build out AI infrastructure, improve cyber resilience, and train a million engineers and developers by 2030.

00:28 — Our key partnerships include internet infrastructure provider Secura Internet, whose share price rose over 20% following the announcement, and SoftBank, already a major player in the AI revolution. Now, thanks to Secura Internet’s data infrastructure, the data used to develop various AI systems, including domestic large language models, will be processed in Japan.

00:57 — Now, in terms of training, Microsoft is also partnered with five other Japanese IT firms, including NTT Data Corp, NEC, Fujitsu, and Hitachi, to deliver this ambitious target. Now, the two-point focus here on both infrastructure and training is becoming a common strategy for companies building the next generation of AI systems.

01:22 — However, instead of solely focusing on the domestic market, Microsoft is continuing its global investment drive by enabling in-country training, leveraging the incredible skills base already available within existing organizations. Now, let’s not overlook the importance of data sovereignty, either.

01:41 — It’s increasingly important to adhere to the laws governing where data resides, and these laws are only becoming more stringent. Not only is Microsoft future-proofing itself, it’s also cultivating the next generation of Azure customers and AI-native enterprises aligned with its platforms.

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In today's Cloud Wars Minute, I break down OpenAI’s massive $122 billion funding round and what it means for the future of AI infrastructure.

Highlights

00:04 — OpenAI has completed its latest funding round with $122 billion in committed capital. The company explained the reasoning behind such a massive investment by highlighting that after reaching a billion dollars in revenue in its first year, it's now generating $2 billion in revenue per month, more than 40% of which is driven by the company's enterprise products.

00:54 — So what will it do with all of this funding? Well, the answer to that is a lot, but for the purposes of this minute, I'm going to dig into its core goals. Now, one of the major expansion areas is in infrastructure, as demand for AI systems is increasing.

01:13 — OpenAI recognizes that no single architecture can meet the demands of this diverse range of needs and expectations. So to that end, the company is building a broader infrastructure portfolio that incorporates cloud services, chips, and design partners.

01:43 — And then there's the AI Super App. OpenAI said in a blog post, our Super App will bring together ChatGPT, Codex, browsing, and our broader agentic capabilities into one agent-first experience.

01:58 — This is not just product simplification, it is a distribution and deployment strategy. Adding the capital being deployed today is helping build the infrastructure layer for intelligence itself.

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In today's Cloud Wars Minute, I explain how ServiceNow is enabling secure, scalable adoption of AI agents across the enterprise.

Highlights

00:03 — ServiceNow is joining forces with Zenity, the first security and governance platform that's been purpose-built for AI agents. Zenity is becoming a ServiceNow build partner, bringing with it a range of capabilities to ServiceNow Security Operations, including agent security, posture management, and vulnerability assessment.

00:25 — Deepak Kolingivadi, VP of Product Management and Head of Security Products at ServiceNow, said the following about this new partnership: “AI agents are transforming how work gets done across the enterprise, including Security Operations. Our partnership with Zenity strengthens the ServiceNow AI control tower and Security Operations solutions.”

01:01 — Now, collectively, these new capabilities bring to ServiceNow customers a greater ability to scale the use of AI agents safely and with full confidence as part of their existing SecOps processes. And what we're seeing here is ultimately a new category, AI Security Operations, or AI SecOps.

01:26 — It's also important to note that by embedding this governance layer through its build partnership, ServiceNow is demonstrating that it's truly ahead of the curve here. All new products delivered by software vendors need integrated security and governance, and agentic AI is no exception.

01:58 — The key word here is scale. ServiceNow has the tools to drive AI across the breadth of a business, and now through Zenity, it's delivering the ability to do this at scale.

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In today's Cloud Wars Minute, I explore how Microsoft’s latest Windows changes reveal a strategic shift toward more intentional AI integration and focused Copilot experiences.

Highlights

00:09 — It was only a short paragraph in a blog post by Microsoft’s Pavan Davuluri, Executive Vice President of Windows and Devices, discussing the changes the company is making to Windows in response to community feedback. However, it has significant implications and, if you pick it apart, could provide a better understanding of where Microsoft is directing its AI ambitions.

00:36 — Here’s the paragraph in full: “With craft and focus, you will see us be more intentional about how and where Copilot integrates across Windows, focusing on experiences that are genuinely useful and well crafted,” says Davuluri. “As part of this, we are reducing unnecessary Copilot entry points, starting with apps like Snipping Tool, Photos, Widgets, and Notepad.”

01:05 — When Microsoft went all out on the Copilot rollout across its massive ecosystem of products, platforms, and services, some commentators argued that this push could overwhelm consumers. Instead, a more targeted approach would perhaps make it easier for customers to see the benefits and, critically, the use cases that Copilot can amplify.

01:28 — It seems that Microsoft has taken these concerns into consideration and is now scaling back the areas where Copilot is utilized. This is a smart move from a Windows perspective, as it prioritizes value over volume, and this approach aligns well with the evolving direction of Copilot Studio, which focuses on creating agentic experiences.

01:53 — Now Microsoft is consolidating its AI offerings by moving away from the idea of having Copilot everywhere. Instead, agents developed through Copilot Studio will be able to plug into specific execution environments, just like Windows.

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