Cloud Wars Live with Bob Evans

In today's Cloud Wars Minute, I unpack Workday's move toward agentic contract lifecycle management and greater workflow automation.

Highlights

00:03 — Workday has announced that its next mission is to bring agentic AI across the entire contract lifecycle, instead of just AI for individual contract-related tasks. The company is launching the Workday Contract Workflow Agent, which is now in early access.

00:22 — But before I get into that, I want to share some other findings that kind of support Workday's intentions here. The company recently conducted a survey of nearly 7,000 professionals and found that 89% said their organizations routinely absorbed financial losses from vendor contracts that auto-renew without anybody's knowledge.

00:44 — So, to support this and other processes across contract creation, negotiation, execution, management, compliance, and renewal, the company has launched the Workday Contract Workflow Agent, which is one of a series of major enhancements coming to Workday Contract Lifecycle Management, or CLM, and described as the 'beginning of a new era of agentic CLM."

01:09 — The overall goal is to automate more of the manual work involved in managing contracts, connect those tasks with broader business workflows, and it really chimes with Workday's wider vision, which is to embed agentic AI into enterprise workflows, rather than treating AI as a separate tool.

01:31 — I think that's what makes the company's approach particularly interesting in the enterprise AI space. It's not just about giving employees another AI assistant, but about embedding agents directly into the workflows that run the business.

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In today's Cloud Wars Minute, I examine Microsoft’s plans to more than triple its data center capacity as AI compute demand continues to soar.

Highlights

00:09 — According to reports, Microsoft plans to more than triple its data center capacity, from around 12 gigawatts today to about 38 gigawatts by 2032.

00:23 — So, right now, only about two gigawatts of Microsoft's current capacity is centered on AI-specific chips, but that's expected to grow to around one-third of the 38 gigawatts that it's planning. These data centers will be a mix of owned and leased capacity.

00:56 — Microsoft expects $50 billion in CapEx for the first quarter of 2027 and $175 billion for the 2026 calendar year, and as we've seen across the industry, there really is no getting around these massive CapEx figures. Microsoft needs to supercharge its infrastructure build-up because AI compute demand is so high, and it needs the capacity to support that demand.

01:15 — But I think there's something else telling here: the fact that only around two gigawatts of Microsoft's current capacity is dedicated to AI-specific chips. To me, that's a sign that we're still very much in the infrastructure and preparation phase.

01:49 — There's been so much talk about AI adoption and its increasing integration into companies, but if the infrastructure being built today is any indication, some of the biggest changes could still well be ahead of us. So, if you think we've already seen the full impact of AI on businesses, be prepared for what happens when all of this compute capacity actually comes online.

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In today's Cloud Wars Minute, I look at Microsoft’s new AI-powered Dynamics 365 Activate and what it could mean for Salesforce customers.

Highlights

00:11 — Microsoft has launched Dynamics 365 Activate. It's an AI-powered tool for migrating from Salesforce to Dynamics 365. In practice , this means analyzing a company's existing Salesforce setup, its data workflows, customizations, and integrations.

00:31 — And then mapping what should be migrated, simplified, or redesigned in Dynamics 365. Now, the goal is to reduce the cost, the complexity, and the friction of switching enterprise software. So this is just the start for Activate, and Microsoft plans to expand it beyond Salesforce to other CRM and ERP migrations.

00:55 — The company is really positioning this as a way of getting over vendor lock-in in the CRM space, and here's what Jeff Teper , Executive Vice President, Microsoft Apps and Agents, had to say about it: "Often, we hear from leaders that they feel locked into systems customized over years, surrounded by point solutions, and connected through complex integrations."

01:19 — He says that Dynamics 365 Activate can help partners and customers move to Dynamics 365 faster, with less manual effort and lower migration risk. Now, why would they want to make the jump? Well, Microsoft is essentially saying, "Hey, Dynamics is a cutting-edge AI- and agent-oriented platform, so why stay locked into Salesforce architecture when you could move to a Microsoft platform designed around the AI agent Era?"

01:49 — Now, it's rare that you see such an explicit example of a company targeting another where it hits hardest. In this case, that's Salesforce and its CRM business, where it remains a market leader with around 20% market share, despite all the alliances and partnerships we've seen, and continue to see , in the AI Era. The Cloud Wars are certainly alive and well.

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In today's Cloud Wars Minute, I examine what Salesforce’s reported interest in Listen Labs could mean for the future of Agentforce.

Highlights

00:04 — Salesforce is reportedly in talks to acquire Listen Labs for close to $2 billion. Listen Labs is an AI-powered customer research company that uses AI tools to carry out really large-scale customer interviews and analyze those conversations.

00:23 — And it's got a pretty impressive client base, with companies like Microsoft, Perplexity, and Robinhood among its customers. So, why the interest from Salesforce? Because while it's one of the world's best-known CRM companies, it isn't traditionally a market research company.

00:41 — Well, the idea could be to bring this kind of analysis and customer understanding — what customers are thinking and feeling — into Agentforce. Now, that could give its agents even more context when making decisions.

01:02 — What's interesting is what it says about the direction of travel for AI agents. Again, it's this move beyond Q&A to active decision-making, and in that decision-making, context and customer understanding are so critical that Salesforce could well be willing to bet billions on what is essentially another cog, or neuron, in the autonomous vision it's creating for Agentforce.

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In today's Cloud Wars Minute, I recap some of the comments from CEO Marc Benioff's keynote at Dreamforce about the value of partnerships that enable extended, end-to-end capabilities for customers that a single company cannot provide alone.

Highlights

00:32 — CEO Marc Benioff said the arrival of Salesforce's new AIforce UI changes everything. No one company can handle all of the changes, so the corresponding expansion of partnerships that Salesforce undertook with these other great companies is a sign that customers want the simplicity, speed, and wide-ranging end-to-end solutions that will require all of the Cloud Wars Top 10 companies to continue to be as aggressive, expansive, and open-minded as possible with the partnerships they form.

01:26 — The new technology and the capabilities coming from these partnerships unlock much potential for customers — how much they can reduce migrations and integrations, complexity, and contractual issues.

01:46 — These partnerships will lead to some key outcomes. The heart of the Google Cloud partnership is Gemini Enterprise — the integration, the models being used, and its tighter integration with Salesforce's data, applications, and Agentforce will lead to some powerful new outcomes for customers.

02:11 — With AWS, it's wide-ranging. The expansion includes what's going on with cloud infrastructure. It's opening doors to new things in the AI Revolution. With Nvidia's Nemotron, the new reasoning capabilities will make data more trustworthy and capable, as well as drive greater insights for customers.

02:58 — Salesforce enlisted Anthropic and Claude to let customers do more immediately with these technologies. Benioff went into detail in the keynote, essentially explaining how Salesforce can do a lot, but it can't do it all. He elaborated on how this partnership will unleash new insights and capabilities that were never possible before. I think that's exactly the sort of outcome customers are looking for here.

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In today’s Cloud Wars AI Minute, I break down Gartner’s $2.59 trillion AI infrastructure spending figure and why rising compute and memory costs are shifting where the economics of the AI boom are landing.

Highlights

00:11 — Let's talk about this new Gartner number that just came out. Gartner is claiming that it's $2.59 trillion in CapEx expenditures that we're starting to see companies investing in the AI infrastructure space. Well, this is a very big number, and in an earlier video, I covered the fact that now we're starting to see cash flow not being able to keep up.

01:02 — If we take a look at Nvidia for a second, that is going to be running a lot of this compute on its hardware, you're going to see that they're at $89 billion in one quarter. Now, that's their revenue in just one quarter alone, and that's up 117 percent year over year. This means that they're demanding prices and they're manufacturing this in a market that the demand is far exceeding their ability to actually produce equipment.

01:36 — And you're also seeing 400% DRAM prices going up since the start of 2024, and so when you combine these two different pieces together, what we're seeing is that the revenue is really being made by the hardware manufacturers and the ability to do the compute. This is where all revenue seems to be going right now.

02:15 — Gartner has even predicted that in 2026 we're going to see the trough of disillusionment happen in the AI space. Now, what this really means is that we're going to see the hype cycle bring it down a bit to be able to go into what is the actual reality of AI return on investment, and so we should start seeing this hype cycle come down.

03:22 — And so this is going to be a very interesting thing for us to continue to watch throughout 2026, and it should open up some opportunity and hopefully maybe help us reduce the demand that we have on both compute and memory infrastructure, allowing this to normalize a bit.

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In today’s Cloud Wars Agent and Copilot Minute, I break down Microsoft’s rollout of OpenAI’s GPT-6 Astra in Foundry and why enterprise controls could be a major differentiator for agentic AI.

Highlights

00:09 — So a quick recap before I get into this story: at the start of September, OpenAI launched GPT-6 Astra, which it described as the world's most intelligent and aligned model. Now, I'd urge you to check out the promotional video that accompanied that launch, because it's pretty mind-blowing in terms of what this model can do.

00:31 — It's been a shift away from Q&A or chat and into actions. So, we're talking computer use, software engineering, browsing, and so on. Now, the reason we're talking about this today is that shortly after launch, Microsoft announced that it had made this frontier model generally available for all customers in Microsoft Foundry.

00:53 — Now, in practice, this means that customers can use the model to complete multi-step, agentic work with open-ended goals. Microsoft is really pushing the idea of computer use and how transformative this can be for its enterprise clients.

01:09 — And the model is pricey, with the standard global tier starting at $10 per million input tokens and $50 per million output tokens, short context. Long context is $20 per million input tokens and $75 per million output tokens.

02:29 — Foundry complements OpenAI's safety alignment and other factors with security, safety, and compliance capabilities, including Microsoft Entra identity and access management, encryption in transit and at rest, private networking options, role-based access controls, content filtering, safety evaluations, monitoring, and, of course, governance tools. And that is what I think will draw people to Microsoft in this case.

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In today’s Cloud Wars AI Minute, I break down the explosive growth in AI infrastructure spending and the growing pressure on hyperscalers as CapEx begins to exceed operating cash flow.

Highlights

0:14 — The thing I'm going to talk about today is the fact that we are now seeing over $700 billion in AI buildout as far as the investment in CapEx that's starting to be spent. Well, this is really an interesting situation because we're starting to see that the actual CapEx expenditures are exceeding the cash flow funding it at this point.

0:57 — Amazon is saying alone in 2026 it had to raise to $220 billion in CapEx expenditures, due to memory cost as the cited reason. So, now the question becomes: Will the memory shortage start to push back a little bit in this because of the fact of where these numbers are going?

2:09 — How do we continue to fund these things where we don't actually see the cash flow being able to be a return? Now, currently, right now, we're sitting at $2.59 trillion total worldwide AI spend, and this is up 47% from 2026.

2:53 — We're either going to see them have to borrow money, or they're going to have to go into a situation where they tune it back a bit to be able to deal with the fact that it's starting to exceed their cash flow. It'll be an interesting space, and it will be something that we'll continue to watch as we continue to go forward.

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In this Cloud Wars Minute, I dive deeper into comments from Oracle's Q1 earnings call on its philosophy, position, and strategy where agents meet applications.

Highlights

00:16 — I think Oracle has, by far, been speaking with the most clarity about what the interplay between apps and agents will be. This is incredibly important for customers. Just a couple of years ago, Microsoft CEO Satya Nadella turned the whole apps world upside down when he suggested that the arrival of AI, agents, and copilots would hollow out applications.

00:46 — During the Q1 earnings call, CEO Mike Sicilia made remarks about Oracle's view on applications and where apps and agents collide. He focused on the notion that Oracle's suites of applications are moving into industry suites that seamlessly blend agents and apps together.

01:48 — Sicilia further stated that AI is an accelerator for packaged apps, not a replacement. He cited a number of ways that acceleration is happening. With this blend of apps and agents, employees will shift to overseeing agents, resolving exceptions, and using human judgement to solve complex decisions that arise. This very tight blending of what they're calling "fusion" agentic applications will make that possible.

02:21 — It's important to remember Nadella's comments on a podcast interview two years ago as he described this, saying that AI is going to take command and applications will be rendered much less valuable. He said they would be going after this with agents and copilots aggressively, with hopes of collapsing it all, referring to the current state of the role of applications at the time.

03:55 — Oracle has done the best job of consistently describing where apps end and where agents begin as well as where agents complement what apps are doing.

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In today’s Cloud Wars AI Minute, I break down the rise of AI model fatigue and why the industry’s rapid release cycle may be moving faster than buyers can keep up.

Highlights

00:16 — The thing we’re going to talk about today is going to be model fatigue. And this is a real thing that’s starting to happen in the industry as these models keep coming out, and they come out so quick that you’re starting to see that the race of the releases are just outrunning the buyer’s ability to be able to consume them.

00:37 — And just to give you some perspective of some key concepts that kind of showcase this is five of the key frontier models all released new versions within four days of one another, and when we start looking at this and having this model fatigue, you’re actually starting to see the labs that build these different frontier models starting to ask for the slowdown of the development of AI.

01:13 — What we really are starting to get into is going to be that we need to make sure that we have the ability for people to consume these things and understand the value. You’re also starting to see that there is also a need for deeper integration and depth, and data quality and domain fit are actually starting to be much more important than just releasing a new version of the model.

01:48 — The other perspective of this is not only is it causing a problem in being able to adopt, it’s also causing a problem in ability to actually service the needs. So we saw that Astra, which is GPT-6 Astra, literally in seven days turned off its Pro offering. And why did they do that? A lot of it just comes down to the race to produce these new models.

02:20 — And so now, what we’re seeing is that even if you make these new models, getting the capacity rolled out to be able to service the model’s demand is just not going to be able to be kept up with. So I anticipate what we will see is a slowdown in the number of models, so that it will be more consumable for the market in general.

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