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Beyond the Box: Rethinking Network Infrastructure in an Era of Supply Chain Volatility

Atif Khan
Alkira

Network hardware vendors are raising prices again — and enterprises are feeling it at renewal and refresh time. For example, multiple sources reported that Cisco implemented an average ~3.4% uplift on hardware effective September 13, 2025, followed by similar increases for technical services in early October.

At the same time, the "AI tax" is pushing costs up the stack — especially memory. Counterpoint has projected server-memory prices could double by the end of 2026 versus early 2025, driven by AI demand and supply constraints.

So, if you're an IT leader watching budgets swell while vendors point to "market conditions," you're not alone. Gartner forecasts worldwide IT spending will exceed $6 trillion in 2026, up 10.8% from 2025.

Here's the reality: the buy-rack-depreciate cycle is no longer the only way to build a world-class enterprise network — and this isn't a one-off. It's sustained upward pressure across the hardware stack.

The Old Model Is Breaking

For years, enterprise networking followed the same playbook: buy the hardware, rack it, and build around it. But today, the box-by-box approach creates a bottleneck that slows down an entire organization. Recent data shows that average delivery times for critical infrastructure components remain roughly 25% longer than pre-pandemic levels, stalling digital transformation projects across the globe.

A jump in semiconductor costs stems from growing AI needs, global political strains, and limits in production capacity. As generative AI infrastructure demands skyrocket, with data center systems spending now projected to grow nearly 37% in 2026, traditional enterprise networking is being crowded out of the supply chain.

On top of that, finding skilled engineers to handle complex hardware systems has become tougher. Recent reports suggest that over 60% of organizations now cite a lack of specialized skills as the primary barrier to modernization, surpassing even budget constraints.

The Shift Toward "Consumption-Based" Infrastructure

The shift we are seeing today mirrors the evolution of the data center. Just as we moved from owning physical servers to consuming elastic compute in the cloud, the network is finally decoupling from the physical hardware it runs on.

Nowadays, businesses prefer paying only for what they use when it comes to infrastructure. Instead of owning physical gear, access happens instantly — like turning on a tap — wherever needed across the planet. Software controls everything; human setup becomes unnecessary. What once required boxes and cables now runs quietly behind APIs.

The Strategic Benefits of a Hardware-Light Strategy

When an organization moves away from being its own network utility company and starts consuming networking as a scalable resource, the operational math changes:

  • Shifting focus from heavy upfront investments to flexible operations allows decision-makers to match expenses with real-time demand. Instead of locking funds into expensive equipment that loses value immediately, teams adjust resources as needed. This approach links financial choices directly to how services are used. Over time, reliance on rigid infrastructure gives way to responsiveness. Costs become more predictable when tied to activity levels rather than fixed purchases.
  • Freed from routine fixes, engineers find new roles in shaping secure systems. With less time spent on hardware glitches, attention shifts toward modernizing infrastructure. Instead of troubleshooting ports, they focus on strategic upgrades. Once manual checks fade, innovation gains space to grow. Tasks once demanding daily effort now leave room for deeper work.
  • In a software-defined, service-led model, the underlying technology is upgraded behind the scenes. The enterprise gains access to the latest speeds and security protocols without a disruptive migration project or a forklift upgrade.
  • In the traditional model, expanding into a new global region meant months of procurement and shipping. In the new model, connectivity is a configuration change, not a logistics project.

The Real Cost Conversation

When I talk with CIOs and network architects, the conversation has moved beyond the price of a router.

Instead, focus shifts toward broader expenses, like total cost of ownership. Power needs enter the picture, along with demands for cooling systems. Space constraints matter too. Above all else, the value of staff hours weighs heavily in these talks.

Given fluctuations in worldwide logistics, justifying ownership of an extensive brick-and-mortar infrastructure grows more difficult. Though scale once signaled strength, shifting dependencies now undermine that logic. Because disruptions occur without warning, large fixed networks lose their appeal. Even steady demand patterns fail to offset rising unpredictability. So, reliance on physical reach appears less strategic over time.

Navigating the Transition

Of course, switching to pay-per-use doesn't fix everything instantly. A deeper change in mindset and daily practice is needed. When fixed machines fade out, work flows shift toward APIs, with rules applied by software, not people. At the same time, finance leaders accustomed to steady costs over five years now face shifting monthly bills. For today's tech leads, success hinges less on picking tools and more on making old infrastructure talk smoothly with flexible, modern platforms.

The Path Forward

The organizations that thrive in the coming years won't be the ones with the biggest hardware budgets. They'll be the ones that rethink how infrastructure is consumed altogether.

We don't build our own power plants, and we no longer manufacture our own servers for every application. Networking is the final frontier of this shift. The infrastructure you need is increasingly software-defined and ready to serve your business. The only question is whether you'll keep buying boxes or start consuming networking the way modern enterprises consume everything else.

Atif Khan is CTO and Co-Founder of Alkira

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Beyond the Box: Rethinking Network Infrastructure in an Era of Supply Chain Volatility

Atif Khan
Alkira

Network hardware vendors are raising prices again — and enterprises are feeling it at renewal and refresh time. For example, multiple sources reported that Cisco implemented an average ~3.4% uplift on hardware effective September 13, 2025, followed by similar increases for technical services in early October.

At the same time, the "AI tax" is pushing costs up the stack — especially memory. Counterpoint has projected server-memory prices could double by the end of 2026 versus early 2025, driven by AI demand and supply constraints.

So, if you're an IT leader watching budgets swell while vendors point to "market conditions," you're not alone. Gartner forecasts worldwide IT spending will exceed $6 trillion in 2026, up 10.8% from 2025.

Here's the reality: the buy-rack-depreciate cycle is no longer the only way to build a world-class enterprise network — and this isn't a one-off. It's sustained upward pressure across the hardware stack.

The Old Model Is Breaking

For years, enterprise networking followed the same playbook: buy the hardware, rack it, and build around it. But today, the box-by-box approach creates a bottleneck that slows down an entire organization. Recent data shows that average delivery times for critical infrastructure components remain roughly 25% longer than pre-pandemic levels, stalling digital transformation projects across the globe.

A jump in semiconductor costs stems from growing AI needs, global political strains, and limits in production capacity. As generative AI infrastructure demands skyrocket, with data center systems spending now projected to grow nearly 37% in 2026, traditional enterprise networking is being crowded out of the supply chain.

On top of that, finding skilled engineers to handle complex hardware systems has become tougher. Recent reports suggest that over 60% of organizations now cite a lack of specialized skills as the primary barrier to modernization, surpassing even budget constraints.

The Shift Toward "Consumption-Based" Infrastructure

The shift we are seeing today mirrors the evolution of the data center. Just as we moved from owning physical servers to consuming elastic compute in the cloud, the network is finally decoupling from the physical hardware it runs on.

Nowadays, businesses prefer paying only for what they use when it comes to infrastructure. Instead of owning physical gear, access happens instantly — like turning on a tap — wherever needed across the planet. Software controls everything; human setup becomes unnecessary. What once required boxes and cables now runs quietly behind APIs.

The Strategic Benefits of a Hardware-Light Strategy

When an organization moves away from being its own network utility company and starts consuming networking as a scalable resource, the operational math changes:

  • Shifting focus from heavy upfront investments to flexible operations allows decision-makers to match expenses with real-time demand. Instead of locking funds into expensive equipment that loses value immediately, teams adjust resources as needed. This approach links financial choices directly to how services are used. Over time, reliance on rigid infrastructure gives way to responsiveness. Costs become more predictable when tied to activity levels rather than fixed purchases.
  • Freed from routine fixes, engineers find new roles in shaping secure systems. With less time spent on hardware glitches, attention shifts toward modernizing infrastructure. Instead of troubleshooting ports, they focus on strategic upgrades. Once manual checks fade, innovation gains space to grow. Tasks once demanding daily effort now leave room for deeper work.
  • In a software-defined, service-led model, the underlying technology is upgraded behind the scenes. The enterprise gains access to the latest speeds and security protocols without a disruptive migration project or a forklift upgrade.
  • In the traditional model, expanding into a new global region meant months of procurement and shipping. In the new model, connectivity is a configuration change, not a logistics project.

The Real Cost Conversation

When I talk with CIOs and network architects, the conversation has moved beyond the price of a router.

Instead, focus shifts toward broader expenses, like total cost of ownership. Power needs enter the picture, along with demands for cooling systems. Space constraints matter too. Above all else, the value of staff hours weighs heavily in these talks.

Given fluctuations in worldwide logistics, justifying ownership of an extensive brick-and-mortar infrastructure grows more difficult. Though scale once signaled strength, shifting dependencies now undermine that logic. Because disruptions occur without warning, large fixed networks lose their appeal. Even steady demand patterns fail to offset rising unpredictability. So, reliance on physical reach appears less strategic over time.

Navigating the Transition

Of course, switching to pay-per-use doesn't fix everything instantly. A deeper change in mindset and daily practice is needed. When fixed machines fade out, work flows shift toward APIs, with rules applied by software, not people. At the same time, finance leaders accustomed to steady costs over five years now face shifting monthly bills. For today's tech leads, success hinges less on picking tools and more on making old infrastructure talk smoothly with flexible, modern platforms.

The Path Forward

The organizations that thrive in the coming years won't be the ones with the biggest hardware budgets. They'll be the ones that rethink how infrastructure is consumed altogether.

We don't build our own power plants, and we no longer manufacture our own servers for every application. Networking is the final frontier of this shift. The infrastructure you need is increasingly software-defined and ready to serve your business. The only question is whether you'll keep buying boxes or start consuming networking the way modern enterprises consume everything else.

Atif Khan is CTO and Co-Founder of Alkira

Hot Topics

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...