Cloud Wars Live with Bob Evans

In today's Cloud Wars Minute, I examine what OpenAI's latest move reveals about the maturation of the enterprise AI market.

Highlights

00:03 —My colleague Bob Evans has already covered the specifics of OpenAI's new partner network, so I don't want to spend too much time on the ins and outs of the program itself today. Instead, what I want to do is focus on what this announcement really tells us about the wider state, the broader state of the AI market.

00:25 — Now, for much of the past two years, the conversation around AI has focused on models, questions like: "Which model is best? Which company is ahead? How quickly are capabilities improving? Now, while those questions still matter, they're not the most important ones for many enterprises today. The challenge is more about scalable deployment.

00:44 — Most large organizations have already experimented at this point with AI in some way. They've run pilots, they've tested use cases, and identified areas where AI can really create value for them. The issue now is turning those successes into a scalable business strategy.

01:17 — And that's why OpenAI's partner network matters in this instance. For me, the announcement is less about OpenAI launching another program and more about the company realizing that, although it has the technology, that alone isn't enough for companies to scale in the AI era. They need an ecosystem that includes consultants, partners, and specialists as well.

01:49 — The winners in this next phase will not necessarily be the organizations with access to the most powerful models; they'll be the ones that can successfully embed AI into day-to-day operations and generate real business outcomes. When you look at it like this, OpenAI's partner network is not just a new customer program, it's a sign that the industry is entering a new chapter.

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In today's Cloud Wars Minute, I discuss the growing challenge of balancing AI demand, budgets, and business priorities across the enterprise.

Highlights

00:02 — We’ve got an emerging dilemma here for CEOs in the early days of the AI Revolution, and a new solution from OpenAI has brought that to light. The dilemma is this: when everybody wants AI tokens, as many as they can get, as quickly as they can get them, but AI tokens are in limited supply, who gets them? Who decides that? How do companies measure that?

00:54 — So, OpenAI has come out with a new tool. This new solution from OpenAI is aimed at AI administrators, so they can sort of turn them on and off, see who’s using what, which ones align with business impact, more over here, less over here. As a tool, that’s all great. But who sets, on high, the policies that those AI admins then can use as their guide?

01:47 — The current state of reality in the marketplace is that the technology is outpacing a lot of corporate cultures. Perhaps there are some CEOs who have sat down with their executive teams and very rigorously hammered this out: a very clear, transparent policy. The current state of the market, though, is one where I don’t see that happening in too many places.

02:49 — The problem sits on top of that solution. Who sets the policies that the AI admins will then follow? You’ve got salespeople over here screaming, “I need more,” product development saying they need more, marketing saying they need more, and every part of the company saying, “I need more.” Who sets the guidelines for how that is determined?

03:30 — The enormous burden is resting on the shoulders of AI administrators who are just not equipped to see across the company and determine where these resources should go. For CEOs, the AI clock is ticking, not only to set a high-level strategy, but also to build the culture that allows companies to be successful in the AI Revolution and AI economy.

04:33 — Great tool from OpenAI, but there’s got to be a lot of education done at the top level for customers. As AI tokens begin to be recognized as incredibly valuable, companies may need entirely new approaches to allocation, governance, and business prioritization.

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In today's Cloud Wars Minute, I examine three very different approaches to turning breakthrough AI technology into real-world business transformation.

Highlights

00:11 — The AI Deployment Wars involve Google Cloud, OpenAI, and Anthropic. Each has evolved from being almost lab-focused companies with tremendous AI models, and now the pace of innovation of these models is remarkable. The capabilities, power, is stunning, but what that leads to is a huge demand among customers now to not just slip in a piece of technology, but to change companies dramatically.

00:45 — So, that's why the focus here now is on these Deployment Wars. I want to take a look at the three different approaches that these companies are taking. How are they going to take this very cool technology and turn that into customer success at the point of deployment for these customers? There are different approaches here. Money's not the issue here.

01:45 — The challenge is, how do they set themselves up to be not just great creators of technology, but deployment enablers for some of the world's largest companies doing unbelievably complex projects and betting their futures on AI? The technology is enabling the real goals, which are transformation and the ability to move and grow quickly.

02:21 — How are they going to ensure customer success at every level? How are they going to change the processes companies have, the way they do business, the mindset, the technology, the opportunities they have, the strategy, and the cultures of these companies? How are they going to tackle technical challenges that nobody has really ever handled before? This is remarkably different.

03:56 — Google Cloud is going to go almost exclusively with partners. Both Anthropic and OpenAI are saying that they have both funded, along with a lot of partners, deployment companies that will use deployed engineers who are employees of either OpenAI or Anthropic out at the point of the customer to complement or supplement some of what partners are doing.

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In today's Cloud Wars Minute, I discuss how one of the Big Four consultancies is using Microsoft technology to simplify AI scaling for customers worldwide.

Highlights

00:10 — Some big partner news today: KPMG and Microsoft are expanding their existing partnership to help firms scale agentic AI initiatives. Another example of how far things have progressed in a few short years, as companies become increasingly AI-mature and start to incorporate these transformational technologies across their businesses.

00:34 — Within the new agreement, KPMG will leverage Microsoft 365 Agent to enhance its trusted AI framework in order to help KPMG clients deliver agentic AI across their enterprises, while KPMG member firms will also be deploying Microsoft 365 Copilot on a global scale, totaling over 267,000 users.

01:02 — So, a massive rollout of Copilot there. But the big story here is how KPMG is further integrating, this time from an agentic AI stance, Microsoft technology into its client service delivery platforms. What this means is that it's making it easier for KPMG clients to scale AI because of the consistency this provides.

01:25 — It's consistency, governance, deployment, management, and production, and that's the real customer benefit here. This is a deepening of the relationship between Microsoft and KPMG.

01:36 — I think partnerships like this are so important because the amount of options and strategies for AI deployment is really quite mind-boggling. So, when you have one of the Big Four consultancies showing the way, using a consistent set of tools in-house and with its customers, the outcomes are just going to be that much better.

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In today's Cloud Wars Minute, I explain how AWS is using AI-driven automation to reduce technical debt and free up budgets for innovation.

Highlights

00:03 — As the AI Revolution has kicked into full swing this year, we've heard a lot of stories — interesting ones — about companies blowing through their AI budgets because everybody loves this stuff; everybody wants to use it. That brings up this notion of technical debt.

00:46 — AWS has introduced an autonomous tool that's primary job is to slay the technical debt monster that is grinding up so much of so many companies' IT budgets and limiting their abilities to do the things going forward that they need to do. It said it consumes 30% of IT budgets, and this is a staggering number.

01:51 — This party that's been going on here now — the big AI kegger during the AI Revolution — is going to come to an end. And what always follows those parties is a hangover. That hangover is going to be centered on technical debt, budgets, and money decisions that have to be made.

02:44 — AWS gave a list of some of the benefits of it [the tool] but, AWS is missing a huge audience, business people who say, “God, we're spending incredible amounts of money on IT. Why are we not getting as much sort of innovation oomph out of this?” It's because so much has to be spent to sustain this already in place technology that's there, the technical debt that builds on that.

04:33 — I think AWS has to find somebody to package this as an agent, that if they call this agentic AI, it goes from being some sleepy thing with a ho-hum name to something that could be very cool. It's the technical debt killer agent, something like that. This is what it does: it autonomously operates, takes care of stuff, makes decisions, evaluates data, does all that.

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