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SaaS applications are being architecturally disrupted because the agent tier is replacing the old business-logic tier that used to be tightly coupled with data and UI, and low-ARPU/high-usage products like Microsoft 365 are best positioned for this shift.

Satya explains that AI is decoupling the traditional data/logic/UI architecture of SaaS apps, with the 'agent tier' taking over business logic, and argues Microsoft 365's low-ARPU, high-usage model positions it well for this transition. ✦ AI generated

Satya Nadella · BG2 Pod · 2025-10-31 · original ↗

starts at this moment · 54:07

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How today is AI affecting the growth rates of your software products, and what are you doing to make sure software is not disrupted but instead superpowered by AI?

the architecture of SAS applications is changing because this agent tier is replacing the old business logic tier... the way we built SAS applications in the past was you had the data, the logic tier, and the UI all tightly coupled... AI quite frankly doesn't respect that coupling because it requires you to be able to decouple.

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53:49you doing to make sure that software is not disrupted but is instead superpowered by AI? Yeah, I think that's a Yeah, that's right. So, the last time we talked about this, my my point really there was the architecture of SAS applications is changing because this agent tier is replacing the old business logic tier. And so, because if you think about it, the way we built SAS applications in the past was you had the

54:13data, the logic tier, and the UI all tightly coupled. Uh, and AI quite frankly doesn't respect that coupling because it requires you to be able to decouple. And yet the context engineering is going to be very important. I mean take you know something like uh office 365. One of the things I love about uh our Microsoft 365 offering is it's low arpoo uh high usage right I mean if you think

54:39about it right outlook or teams or sharepoint you pick word or excel like people are using it all the time creating lots and lots of data which is going into the graph and our arpoo is low. So that's sort of what gives me real confidence that this AI tier with I can meet it by exposing all my data. In fact, one of the fascinating things that's happened uh Brad with both GitHub

55:04and Microsoft 365 is thanks to AI, we are seeing alltime highs in terms of data that's going into the graph or the repo. >> I mean think about it. The more code that gets generated, whether it is codeex or cloud or wherever, where is it going? GitHub, more PowerPoints that get created, Excel models that get created, all these artifacts and chat conversations. Chat conversations are new docs, they're all going in to the

55:31graph and and all that is needed again >> for grounding. Uh so that's what you know you turn it into a forward index into an embedding and basically that semantics is what you really go ground any agent request. And so I think the next generation of SAS applications will have to sort of if you are high RPO low usage then you have a little bit of a

55:55problem. But if you are we are the exact opposite. we are low RPO, high usage and I think that anyone who can structure that and then use this AI as in fact an accelerant because I mean like if you look at the M365 copilot price I mean it's higher than any other thing that we sell and yet it's getting deployed faster and with more usage and so I feel

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The SaaS business model packaged workflow into data model, business logic, and UI — we now have to unbundle and rebundle those layers in new ways, creating 10x more value in the agent world.Satya Nadella · No Priors · conf 85%The Medallia failure is a sign of a broader SaaS debt bomb: agents are now so good and cheap that enterprises can spin up internal alternatives to vertical SaaS, crushing net new sales and making previously predictable cash flows unpredictable.Jason · All-In Podcast · conf 85%SaaS companies are suffering because AI agents have become so good, fast, and cheap that enterprises can spin up internal alternatives to vertical SaaS products, crushing new sales and making debt-financed SaaS buyouts increasingly risky due to unpredictable cash flows.David Friedberg · All-In Podcast · conf 85%AI is driving a three-layer re-engineering of enterprise software: generative UI that is dynamic and proactive rather than click-driven, business processes that blend structured and unstructured worlds via agents, and a harmonized data layer that combines SAP's structured data with external data to fuel AI.Philipp Herzig · No Priors · conf 75%The SaaS apocalypse is actually the realization of AI deflationary promise. Enterprises can now spin up alternatives to vertical SaaS products using agents, which is crushing SaaS sales teams. This deflation creates economic expansion elsewhere because enterprises can reinvest the savings into growing their business.David Friedberg · All-In Podcast · conf 60%Infrastructure software is undervalued and will thrive as enterprises store 10x more data over the next three years, and systems of record will be reinvented as agents eliminate UIs.Nikesh Arora · All-In Podcast · conf 60%
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