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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

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

In a 2026 survey conducted by Liquibase, the research found that 96.5% of organizations reported at least one AI or LLM interaction with their production databases, often through analytics and reporting, training pipelines, internal copilots, and AI generated SQL. Only a small fraction reported no interaction at all. That means the database is no longer a downstream system that AI "might" reach later. AI is already there ...

In many organizations, IT still operates as a reactive service provider. Systems are managed through fragmented tools, teams focus heavily on operational metrics, and business leaders often see IT as a necessary cost center rather than a strategic partner. Even well-run ITIL environments can struggle to bridge the gap between operational excellence and business impact. This is where the concept of ITIL+ comes in ...

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...