I‘ve spent the past few weeks trying to unpack why I believe the market is moving beyond Rule of 40 as the dominant way of thinking about software companies. Not because growth and profitability no longer matter, but because AI is changing how companies achieve both. That made the recent Extreme Networks APAC Analyst Day particularly interesting.
Extreme is, at its core, a cloud networking infrastructure company. It builds and sells the switches, wireless access points and campus networking fabric that underpin enterprise networks around the world. Increasingly, however, Extreme is shifting the operational experience of its customers from traditional network management software towards a cloud-native platform called Extreme Platform ONE. Delivered as a subscription service, it unifies network management, AI, automation, security, licensing and multi-vendor (third-party) management into a single operating layer.
On the surface, this year's Platform ONE announcements read like a modern AI platform release. Agentic AI, conversational interfaces, an AI marketplace and new consumption models all feature. Several of these, particularly the built-in consumption guardrails and commercial controls, appear genuinely well considered. But I don't think the long-term significance of Platform ONE lies in any individual AI feature.
The more interesting question for me is whether Extreme is becoming a SaaS company, or a hardware company with SaaS economics. The latter is far more interesting because it changes the questions buyers should be asking. Rather than simply comparing hardware specifications or AI feature lists, organisations should be asking which platform will deliver the greatest operational value over the life of the network.
In that context, Platform ONE shouldn't simply be judged on AI capabilities or subscription growth. It should be judged on whether it increases the lifetime economic value of every switch, access point and fabric deployment. If the software can continually reduce operating costs, automate management and improve customer outcomes over time, then the value of the hardware extends well beyond the day it is installed. It becomes the foundation on which an ongoing software relationship is built.
Extreme still derives most of its revenue from selling networking infrastructure such as switches, wireless access points and campus fabric. These are mission-critical products that must be designed, manufactured, shipped, installed and supported over many years. That matters because enterprise networking is not a three-year software subscription. Buyers are making infrastructure decisions that often last the better part of a decade, and they need confidence not only in the technology, but in the vendor’s long-term commercial and supply chain viability.
That also means Extreme cannot, and arguably should not, be evaluated as though it were a pure software company. Enterprise networking carries a fundamentally different economic model to enterprise software. Vendors must invest simultaneously in silicon roadmaps, hardware engineering, manufacturing, logistics, global support, channel ecosystems and, increasingly, cloud software platforms.
The more interesting question is not whether those economics begin to resemble SaaS, but whether AI allows them to become structurally better. Judged through that lens, almost every strategic decision discussed during the analyst day appeared directed towards improving the economics of owning, deploying and operating enterprise networks rather than replacing the underlying infrastructure.
Platform ONE brings together cloud management, AI agents, licensing, workflow automation and multi-vendor visibility into a single commercial platform. Their new enterprise agreements are introducing true-forward consumption pricing. MSP licensing is poolable and AI capabilities are arriving as part of the platform rather than discrete product upgrades.
That all adds up to customers increasingly buying an ongoing operational capability rather than simply another piece of networking hardware. In other words, the commercial relationship is progressively shifting from a transactional hardware purchase to an ongoing software and operational platform. It feels much less like a product strategy than a financial one.
The implication is that the hardware sale increasingly becomes the beginning of a recurring software relationship rather than the end of a product transaction. But that relationship only works if the software is sufficiently capable to simplify, automate and continually improve the operation of the hardware throughout its lifecycle.
If Extreme can continue to execute over the coming quarters, the distinction between its hardware and software businesses may become increasingly irrelevant. The two would become strategically symbiotic. Great hardware creating the opportunity for a long-term software relationship, while great software continually increases the value of the installed hardware. Each reinforcing the other.
This is where the changing measures of AI success become really important for them. AI only matters if it materially improves the operating economics of their ecosystem. Does it increase software attach rates? Does it accelerate deployment for customers and partners? Does it reduce the effort required to support and operate the network? Does it shorten implementation times? Does it create opportunities for greater customer expansion? Does it enable organisations to manage larger, more complex environments without adding headcount?
Perhaps that's the most interesting observation from the analyst day. Platform ONE appears to have been designed not simply to make networks more intelligent, but to make them progressively more economical to own and operate.
For buyers and partners these are not simply product metrics. They are the operational capabilities that will increasingly drive financial performance. They represent acquisition efficiency, onboarding efficiency, implementation efficiency, support efficiency and customer success efficiency. They are, in effect, the new margin economics of AI and they apply equally to networking.
Viewed through that lens, Platform ONE is attempting to do more than add AI to networking. It is attempting to improve the economics of every stage of the customer lifecycle for themselves, their partners and their customers. One observation from the analyst day particularly reinforced this thinking.
Almost every demonstration focused more on reducing operational effortless rather than increasing technical capability. They shared a common objective of making enterprise networks easier and less expensive to deploy, operate and support. How refreshing. That means none of the capabilities inherently exist to sell more networking hardware. They exist to increase the lifetime value of the hardware that has already been sold. And that is a fundamentally different economic proposition, which brings us to why this matters now.
Across the world, organisations are entering another major campus networking refresh cycle. Many of the switches and wireless networks deployed during the last decade are approaching end of life. On the surface, buyers appear to be making familiar decisions about speeds and feeds, Wi-Fi 7, switching capacity and security as they always will. But I suspect something more significant is also happening.
Increasingly, organisations will transition from simply selecting networking hardware to choosing the operational model that will govern that infrastructure for the next decade. The quality of the hardware remains essential, but will no longer be sufficient on its own. As a result buyers will start asking more of the type of questions where Extreme has a real competitive advantage, for example:
Which platform will let my team deploy new sites faster?
Which platform reduces configuration drift?
Which one helps me manage more infrastructure without adding engineers
Which one automates repetitive operational tasks?
Which one integrates cleanly with the rest of my IT operations?
Which one continues to improve after I’ve bought the hardware?
One thing seems increasingly certain. Networking remains the operational backbone of the modern enterprise and will not be left untouched by AI. At the same time, buyers face increasing pressure from constrained skills, geopolitical uncertainty, supply chain resilience and relentless expectations around uptime. These forces make the economics of operating the network as important as the technology itself.
So, combining resilient infrastructure with software that continually improves the economics of owning and operating that infrastructure over its lifetime feels less like a product strategy to me and more like the right direction of enterprise networking.
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