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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

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...