Cloud Wars Live with Bob Evans

In this episode of the AI Agent & Copilot Podcast, John Siefert, CEO of Dynamic Communities and Cloud Wars, is joined by AJ Ansari, Microsoft MVP and member of the programming committee for the AI Agent & Copilot Summit. The conversation focuses on what enterprises should really be looking for as agentic AI adoption matures.

• Real-world stories over hype: As interest in agentic AI surges, Ansari notes a sharp increase in speaker submissions driven by practitioners who have moved beyond experimentation. The most valuable content, he explains, comes from organizations that have tried, failed, learned, and succeeded—particularly those using AI to tackle concrete business challenges like efficiency, productivity, and margin pressure. Those real-world stories are “worth the price of admission,” he says.
• Practical impact and ROI: While aspirational innovation has its place, conference attendees want takeaways they can actually apply. According to Ansari, the best sessions balance vision with execution—so attendees leave knowing not just what’s possible, but how their investment in agentic AI will translate into measurable business outcomes.
• Clarity before AI: One standout insight is Ansari’s “Clarity Method,” which urges organizations to step back before defaulting to AI. Not every problem requires agents or copilots. Some can be solved through process changes, automation, or application updates. AI should be applied deliberately, once it’s clear it’s the best solution, not just the newest one.
• What to expect at the AI Agent & Copilot Summit: The upcoming AI Agent & Copilot Summit emphasizes an intimate, peer-driven experience with a mix of main-stage discussions and deep-dive master classes. Expect practical guidance, candid discussions about risks and security, and a community willing to “pull back the curtain” and share lessons learned, because, as Ansari puts it, this isn’t a zero-sum game.
• Maximizing the conference experience: Ansari encourages attendees to plan ahead: identify must-see sessions, leave room for serendipity, and prioritize networking. “Come with an appetite to learn,” he advises, noting that some of the most valuable insights emerge from hallway conversations and peer exchanges.

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In today's Cloud Wars Minute, I look at how Google Cloud is reshaping the defense tech landscape.

Highlights

00:04 — Google Cloud has announced a multi-million dollar contract with the NATO Communication and Information Agency (NCIA), to provide critical sovereign cloud capabilities.This new strategic partnership aims to enhance NATO's digital infrastructure.The NCIA will utilize Google Distributed Cloud, or GDC, to support its Joint Analysis, Training, and Education Center, or JATEC.

00:39 — One of the key features it will employ is Google Distributed Cloud (GDC) Air-Gapped, which is an essential component of Google's sovereign cloud solutions. The feature allows the delivery of cloud services and AI capabilities to disconnected, fully secure environments.

00:56 —Tara Brady, President of Google Cloud EMEA, said the following: ". . . This partnership will enable NATO to decisively accelerate its digital modernization efforts while maintaining the highest levels of security and digital sovereignty."

01:38 — For Google Cloud, this development represents significant progress in expanding its presence within the defense industry, a sector long led by AWS and Microsoft. It also emphasizes growing confidence in Google's sovereign cloud offerings and highlights the increasingly complex and competitive nature of the cloud market.

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In today’s Cloud Wars Minute, I break down the latest earnings results showing Oracle and Google Cloud surging into a tie for the #2 fastest-growing cloud vendors in the world’s greatest growth market.

Highlights

00:13 — Two companies that are really pushing the boundaries here in the greatest growth market the world has ever known are Oracle and Google Cloud. Recently, Oracle pulled into a tie with Google Cloud for the second spot, number two spot on the fastest growing major cloud vendors list that is topped by number one, Palantir.

00:41 — Nine of the 10 companies break out their cloud earnings. IBM does not for reasons I cannot fathom, but of the nine that do, five saw their growth rates accelerate in the most recent quarter, four of them saw declines, but only by one point. So for these, levels of growth are being sustained, strong customer demand, belief in the transformative power of what's going on with AI in the cloud.

02:13 — Overall, we see lots of momentum here, across the board all the different sorts of products and services offered by the different Cloud Wars Top 10 companies and we saw Oracle make the biggest jump here, other than Palantir, Oracle went from 28% to 34%. So, it and Google Cloud: I've been making the case for the last 12-15 months that they're the most disruptive of the four hyperscalers.

02:43 — They're coming out with new sorts of technologies, new ways of helping to push AI forward and definitely new go to market approaches. The partnership programs they have are also quite striking. So, going into the new year, those are going to be two companies really to watch. I think Microsoft's doing a good job on a very broad basis.

03:03 — AWS has some has some work to do. It's just not been performing at the rate, especially when we look at future revenue growth as we see through the RPO numbers — talked about that some in yesterday's episode. Anyway, lively group here. When we say the greatest growth market world has ever known, I think these numbers continue to bear that out.

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Key Takeaways

• Summit expectations: With so many people dipping their toes into the AI, Copilot, and agentic capabilities of Microsoft, Nancie expects the AI Agent & Copilot Summit to be filled with exciting stories about the outcomes and how people are leveraging and benefiting from it. She also anticipates seeing more exploratory customer case studies demonstrating the shift from conversational Copilot side to the agentic side. "I'm expecting to see much more of that understanding, how to use the full capability of the agentic feature."
• Selecting speakers: As part of the AI Agent & Copilot Summit Programming Committee Board, Nancie has been involved with selecting sessions for the event. She considers criteria for sessions, such as applying real-world use cases, demonstrating outcomes, and providing clarity on how organizations are benefiting. "It's less about the fear of 'How do I use this?' We should be able to see a good balance between business and technical perspectives," and how to launch safely, she shares.
• Moving forward in confidence: Those who attend the AI Agent & Copilot Summit will be able to move forward in adopting the technology in confidence and understanding the path to success. It's important to look at the holistic process so the end customers understand all the features available to update business processes as well as be able to work in a co-creation, collaborative way.
• AI impact: Attendees can gain guidance at the event on applying AI within their own careers, as it can add a competitive edge not only to businesses but also at the career level. Individuals can reflect on how AI will impact professional roles and leadership. The event provides a space to consider what career paths look like in the age of AI. "I see this event as an opportunity for people not just to attend sessions but to collaborate and talk with others who are attending so that they can learn from each other and network with each other, and just build their careers."

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In today's Cloud Wars Minute, I cover Oracle's Q2 results.

Highlights

00:19 — One of the hottest Cloud Wars Top 10 companies right now is Oracle. And I want to talk today a little bit about Oracle's Q2 results from last week. I think there's been a little bit of the fog of war, the fog of AI war specifically here, that has obscured the impact behind what's really going on with Oracle's numbers.

01:06 — Let's look at Oracle's RPO (remaining performance obligation) results from Q2. RPO rose 433% to $523 billion. Far bigger than any RPO any other company has in the last three months, due in large part to deals with NVIDIA, Meta, and others not named. These are hard and fast numbers about where Oracle's business is headed in the future

02:36 — What's going on elsewhere? The biggest cloud vendor in the world, Microsoft, its most recent RPO numbers went up 51% to $392 billion. Those are remarkable numbers. Looking forward, customers around AI and cloud are giving far more of their contracted future business to Oracle than to Microsoft.

04:06 — Oracle's OCI cloud business is bigger than its applications business. Its Autonomous Database revenue rose 40%, and its multi-cloud business is up 817%. That number is a little misleading, because the business is relatively new, but I don't know anybody out there who would not want to have businesses growing at 817%.

04:45 — I've been focusing a lot on RPOs for the last two and a half years or so. It's a great indicator of where customers are committing their money for the future. These big contracts that have signed are going into the past. Nothing wrong with that, but that reflects where the money in the past has gone. RPO is showing the future.

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In today's Cloud Wars Agent & Copilot Minute, I explore Microsoft's addition of Mistral Large 3 to its Foundry platform and why it's a major win for developers seeking open, enterprise-ready AI models.

Highlights

00:11 —Microsoft Foundry is a platform from Microsoft, designed for building, customizing, and deploying GenAI applications and agents. It allows users to access over 11,000 models. Recently, Microsoft added a new model to its offerings, Mistral Large 3. Microsoft claims it to be one of the strongest open-weight, Apache-licensed frontier models available on the Microsoft cloud.

00:53 — An open-weight model is similar to an open-source model, but with some differences. In an open-weight AI model, the parameters used to train the model are publicly available, not just for use or viewing, but also for downloading and modifying. More developers are turning to these models because they offer flexibility.

01:40 — Mistral Large 3 is one of the world's leading open models optimized for enterprise applications. It excels in instruction following, long-context comprehension and retention, multimodal reasoning, predictable performance, and applied reasoning. Unlike its closest competitors, Mistral Large 3 is fully open, with Apache 2.0 licensing.

02:08 — Each new model is carefully selected. It's not just a free-for-all. With Foundry, Microsoft is demonstrating its expertise in the space by keenly understanding what developers want—in this case, an open model with real-world enterprise applications. The pace of AI development is such that even incremental changes and improvements dramatically impact how businesses operate.

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Sales, and Matt Hobbs, Cloud Engineering and Data Analytics Platform Leader and Partner at PwC US. Together, they explore how companies can stop overpaying for cloud and instead fund AI innovation by shifting spend from legacy and suboptimal cloud deployments into modern architectures, multi-cloud strategies, and enterprise-grade AI capabilities that actually move the needle on growth, margin, and new business models.

Smarter Cloud, Bigger AI

The Big Themes:

• Built to Cost Less: Oracle entered the cloud market later and designed OCI from the “bare metal up” with off-box virtualization, a low-latency non-blocking network, and significantly lower egress pricing. That means Oracle’s own cost to deliver infrastructure is structurally lower, so they don’t need to “race to zero” with margin-crushing discounts. When customers compare OCI run-rates to first-generation hyperscalers, it’s common to see 40–70% savings at list-to-net, not just in special deals.
• Turning Technical Debt Into Innovation Budget: Hobbs notes that roughly 40% of internal tech budgets are often tied up in technical debt rather than innovation. PwC sees executives searching for ways to unlock capital for AI and growth initiatives, not just trim expenses. Its “Fit for Growth” program looks at where money is tied up in non-differentiating costs (cloud infrastructure being one of the biggest line items) and reallocates that spend into value-creating initiatives. When PwC runs side-by-side economics, they’ve seen OCI’s promised 40–70% savings show up in real deals.
• OCI + PwC: budget creation meets execution: The Oracle–PwC collaboration stands out, the guests argue, because both sides are relentlessly focused on the client outcome rather than maximizing any one platform. PwC validates OCI’s economics and brings the talent to design and execute migrations, process re-invention, and agentic AI programs; Oracle brings a cost-efficient, multi-cloud-friendly infrastructure designed for price-performance and portability.

The Big Quote: “You can burn a lot of money chasing ghosts in this game if you really don't have a very specific use case."

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Welcome to the Cloud Wars Minute — your daily cloud news and commentary show. Each episode provides insights and perspectives around the “reimagination machine” that is the cloud.

In today’s Cloud Wars Minute, I discuss why culture, mindset, and leadership matter just as much as technology in driving AI transformation, based off my conversation with Will Grannis, CTO, Google Cloud.

Highlights

00:30 — Will has been the Chief Technology Officer at Google Cloud, one of the world’s most advanced technology companies, for almost a decade. So Will’s perspectives on things are pretty powerful, especially in this notion of how corporations unlock the power of AI to drive great outcomes for those companies and their customers or their patients or their stakeholders.

01:10 — One of the first things that Will talked about is the big AI unlock. He said you’ve got to start with thinking about putting the customer at the center of everything, and then build back, build out from there. So reverse-engineer what has to change inside the organization to ensure that the customer outcomes, the customer experience, the customer value, are at the center.

AI Agent & Copilot Summit is an AI-first event to define opportunities, impact, and outcomes with Microsoft Copilot and agents. Building on its 2025 success, the 2026 event takes place March 17-19 in San Diego. Get more details.

02:27 — He talked a lot about the mindset. One customer example was recently BNY Mellon. BNY Mellon has added Gemini Enterprise for its Eliza AI platform, and that is being used now. The Chief Data and AI Officer at BNY Mellon said our AI strategy in the company is simple. He said it’s AI for everyone, AI everywhere, and AI for everything.

03:19 — He said this is something that’s enabled them now to do more things for their customers. It allows their internal people to be much more productive, be more expansive in their analysis, so that they can provide greater value to their customers. Will said it’s been a huge change at the company.

04:06 — So again, I hope you have a chance to check out the whole interview with Will Grannis, the Chief Technology Officer at Google Cloud. You can see it in the links here. Will’s a terrific guy. One of the things you’ll see here is he offers some pretty honest and candid assessments about challenges he himself has faced as the CTO at Google Cloud, and very candidly explains how he got around those.

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Bob Evans sits down with Will Grannis, Chief Technology Officer at Google Cloud, to unpack how AI is reshaping both technology stacks and corporate culture. They explore Google Cloud’s Gemini Enterprise platform, the newly upgraded Gemini 3 models, and the rise of agentic AI. Along the way, Will shares customer stories from industries like finance, healthcare, retail, and travel, and even talks about how his own team had to change its habits to benefit from AI.

Inside Google Cloud’s Agentic AI

The Big Themes:

• Models vs. Platforms in the AI Stack: Grannis draws a sharp distinction between AI models like Gemini and the broader platforms that operationalize them. Models determine how intelligent and capable AI workflows are “out of the box,” across tasks like reasoning, multimodal understanding, and conversation. Platforms, by contrast, are how a business injects its own data, processes, and rules to build differentiated IP, brand experiences, and competitive moats. In practice, that means thinking beyond a single chatbot to agentic workflows composed of models, data, tools, and multiple agents working together.
• Culture and Discipline: Grannis describes how even his own team initially struggled to build an internal ops agent to automate sprint reviews, status updates, and reminders. It was only after leadership pushed them to be an exemplar that the agent became reliable and valuable. Things as simple as putting status information in the same place on every slide suddenly mattered. The lesson: AI exposes hidden process chaos. To get leverage from agents, organizations must tighten their operating discipline and be willing to change how they work, not just bolt AI onto old habits.
• Rethinking ROI and Metrics: Traditional, siloed ROI metrics can kill transformational AI efforts before they start. Grannis cites research about AI projects dying at proof-of-concept stage and contrasts that with companies like Verizon, which used AI in the contact center to simultaneously lift revenue, reduce cost, and improve customer satisfaction by turning support calls into sales moments. Instead of chasing a single metric in isolation, he advocates for “bundles” of outcomes anchored in customer experience.

The Big Quote: “We had to be more disciplined about how we conducted our own work. And once we did that, AI’s effectiveness went way up, and then we got the leverage.”

More from Will Grannis and Google Cloud:

Connect with Will Grannis on LinkedIn or learn about Gemini Enterprise.

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