2026 NetOps Predictions - Part 2

Industry experts offer predictions on how NetOps and Network Performance Management (NPM) will evolve and impact business in 2026. Part 2 covers NetOps challenges and the edge.

Listen to Episode 20 of the MTTI Podcast: 2026 NetOps Predictions

NETOPS CHALLENGE: TRAINING AI

Training AI is about to give corporate networks a workout. With more companies adopting agents creating AI apps, the onus will be on IT and NetOps to condition their networks for the big lift in training AI. When AI apps are in learning mode they can access terabytes or petabytes of data very quickly, and they need high speeds to do it. Companies may need to alter their architecture to leverage the GPU on user machines, and create a time-sharing GPU infrastructure that distributes the AI processing towards users of AI rather than centralized data centers. With AI-capable devices and laptops taking some of the load, all users will get a better experience.
Prakash Mana
CEO, Cloudbrink

WEBINAR: Beyond the VPN - Why ZTNA Alone Isn't Enough — and What's Next 

NETOPS CHALLENGE: PHYSICAL SPACE

Addressing The Real Network Bottleneck - Physical Space: AI networks use dramatically more fiber than traditional cloud systems — in fact, ten times more in the GPU back-end alone — and they require predictable power distribution across expanding footprints. In 2026, operators will concentrate on extracting more capacity from the assets they already have, whether that's upgrading existing long-haul routes with low-loss fiber or maximizing conduit and rack space with high-density cabling. This is where glass becomes the hidden performance engine: how far, how densely, and how efficiently data can travel will hinge on advancements in fiber design. Instead of asking, "How fast is the link?" operators will increasingly ask, "How can we increase network capacity can we fit into the space we already have?" 
Brian Rhoney
Data Center Market Development Director, Corning

NETOPS CHALLENGE: WORKFORCE SHORTAGE

Because There Aren't Enough Technicians, Networks Must Become Easier to Build: One of the biggest challenges next year will be the shortage of trained installers. AI networks are growing faster than the engineering workforce can support. In 2026, more operators will adopt plug-and-play, modular, and error-resistant fiber systems that reduce the need for highly specialized labor. This shift isn't just about efficiency — it's about survival. Without simpler, faster ways to connect high-density systems, AI buildouts will hit deployment bottlenecks long before they hit hardware limits. These solutions will speed up installation, reduce mistakes, and help teams build larger networks with fewer technicians.
Brian Rhoney
Data Center Market Development Director, Corning

NETOPS CHALLENGE: CONNECTED DEVICES

More connected devices on more people will put security to the test. Personal connected devices like smart glasses, translation capable airpods, and personal robots will put more load on already straining networks and require new security processes and protocols. IT will need to compensate for the increase in PII in video, audio, and other formats, while maintaining an excellent user experience for employees on their networks. 
Prakash Mana
CEO, Cloudbrink

NETOPS CHALLENGE: DEEPFAKE ATTACKS

Deepfake-driven attacks will become the norm in the corporate world as cybercriminals embrace AI. Imagine attacks that use real-time voice and video cloning to impersonate executives, or fake "live" Zoom/Teams scams, or AI-written business email compromise (BEC) attacks that adapt mid-conversation. If you can imagine it, cybercriminals can do it. Not only are these attacks more difficult to detect, they are cheaper and easier for criminals who can now focus on compromising people to get at a company. Add these individual AI attacks to employees that work from anywhere and it becomes critical for corporate security controls to move away from protecting just the office or the organization with perimeter or network security. Every user, and every device, should be verified every time, regardless of location.
Prakash Mana
CEO, Cloudbrink

NETOPS CONVERGES WITH SECOPS

NetOps will (hopefully) fully converge with SecOps under a single goal: maintaining secure network intent across hybrid infrastructure. As automation deepens, network teams will adopt observability models that continuously validate connectivity, performance, and compliance. I believe that by 2026, successful NetOps organizations will rely on real-time topology awareness and policy-driven automation to reduce both downtime and exposure windows, ensuring agility doesn't come at the cost of control.
Erez Tadmor
Field CTO, Tufin

CLOUD-LIKE EXPERIENCE FOR THE EDGE

Edge computing will become a bigger part of the narrative in 2026. It's been reported, but my conversations with clients are starting to lean heavily on how to bring cloud-like experiences into a hybrid edge environment. AI, whether generative, agentic, or traditional, is becoming a bigger part of the conversation at the edge. Innovating, managing, and scaling solutions for a large fleet of devices/locations will be a big ask and clients want a similar experience for those environments as they have with their cloud operations.
Juan Orlandini
Chief Technology Officer, North America, Insight Enterprises

FRONTIER EDGE

The industry's definition of "the Edge" is now obsolete; 2026 is here, and so is the "Frontier Edge." This shift is driven by several compounding pressures: the explosion of AI-generated content, the massive amount of data for inference (from immersive 8K media to critical AI model updates), and the necessity of connecting the never thought before locations, such as the deep sea, outer space, and the quantum world. However, consumer immersive traffic always takes center stage and competes with critical data, leading to a choke point within cellular 5G, Wi-Fi, and satellite networks. Avoiding this contention requires an immediate architectural shift away from congested and designed for one-to-one communication systems (e.g., cellular 5G, Wi-Fi, satellite), to a scalable, one-to-many distribution like the broadcast networks to ensure seamless and reliable connectivity in the Frontier Edge era.
Apoorva Jain
CPO, EdgeBeam Wireless

DIGITAL TWINS

The digital twin is evolving from a visualization tool into a practical workspace for network planning. It's becoming the operational backbone that unifies teams, accelerates design cycles and drives smarter decisions throughout the entire lifecycle of a network. Although still in the early stages, digital twins are rapidly evolving into a key enabler for AI-driven network lifecycle management, powering faster and more precise strategic planning.
Kelly Burroughs
Director of Strategy and Market Development, iBwave Solutions

WORK ANYTIME

Work from anywhere will become work anytime. Back-to-office mandates have pulled many workers back to the office, but WFH habits die hard. Many tech workers are used to logging in at times convenient for their schedule or work habits. Our usage data early this year showed heavy transfer of data on Fridays, an indication that "work from anywhere" employees actually put in longer hours than their "9 to 5" counterparts — with heavy usage starting at 7:00 am and continuing to 7:00 pm. In 2026 we expect to see more workers logging in both at the office and at home in their off-hours, which may temporarily increase productivity, but burn workers out more quickly. Companies will need to focus on worker experience as well as productivity.
Prakash Mana
CEO, Cloudbrink

Go to: 2026 Cloud Predictions

Related Links

Hot Topics

The Latest

When the Database Is the Problem, Is APM Enough?

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

From Cleanup to Prevention: The Future of Cloud-Native Cost Optimization

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

The Real Enterprise AI Risk Isn't Hallucinations

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

Beyond Buy vs. Build: The New Playbook for Data Pipelines

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

The Corporate Network Is Fading - Here's What Replaces It

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

IT Leaders Must Establish a Network Data Architecture Practice

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

Data Center Outages Are Decreasing but More Costly

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

Observability Has a Physical Layer Now: What AI Infrastructure Teaches IT Operations

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

TLS Certificate Expiration Is Becoming an Observability Problem

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprise Cloud Observability: Choosing the Right Starting Point

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

2026 NetOps Predictions - Part 2

Industry experts offer predictions on how NetOps and Network Performance Management (NPM) will evolve and impact business in 2026. Part 2 covers NetOps challenges and the edge.

Listen to Episode 20 of the MTTI Podcast: 2026 NetOps Predictions

NETOPS CHALLENGE: TRAINING AI

Training AI is about to give corporate networks a workout. With more companies adopting agents creating AI apps, the onus will be on IT and NetOps to condition their networks for the big lift in training AI. When AI apps are in learning mode they can access terabytes or petabytes of data very quickly, and they need high speeds to do it. Companies may need to alter their architecture to leverage the GPU on user machines, and create a time-sharing GPU infrastructure that distributes the AI processing towards users of AI rather than centralized data centers. With AI-capable devices and laptops taking some of the load, all users will get a better experience.
Prakash Mana
CEO, Cloudbrink

WEBINAR: Beyond the VPN - Why ZTNA Alone Isn't Enough — and What's Next 

NETOPS CHALLENGE: PHYSICAL SPACE

Addressing The Real Network Bottleneck - Physical Space: AI networks use dramatically more fiber than traditional cloud systems — in fact, ten times more in the GPU back-end alone — and they require predictable power distribution across expanding footprints. In 2026, operators will concentrate on extracting more capacity from the assets they already have, whether that's upgrading existing long-haul routes with low-loss fiber or maximizing conduit and rack space with high-density cabling. This is where glass becomes the hidden performance engine: how far, how densely, and how efficiently data can travel will hinge on advancements in fiber design. Instead of asking, "How fast is the link?" operators will increasingly ask, "How can we increase network capacity can we fit into the space we already have?" 
Brian Rhoney
Data Center Market Development Director, Corning

NETOPS CHALLENGE: WORKFORCE SHORTAGE

Because There Aren't Enough Technicians, Networks Must Become Easier to Build: One of the biggest challenges next year will be the shortage of trained installers. AI networks are growing faster than the engineering workforce can support. In 2026, more operators will adopt plug-and-play, modular, and error-resistant fiber systems that reduce the need for highly specialized labor. This shift isn't just about efficiency — it's about survival. Without simpler, faster ways to connect high-density systems, AI buildouts will hit deployment bottlenecks long before they hit hardware limits. These solutions will speed up installation, reduce mistakes, and help teams build larger networks with fewer technicians.
Brian Rhoney
Data Center Market Development Director, Corning

NETOPS CHALLENGE: CONNECTED DEVICES

More connected devices on more people will put security to the test. Personal connected devices like smart glasses, translation capable airpods, and personal robots will put more load on already straining networks and require new security processes and protocols. IT will need to compensate for the increase in PII in video, audio, and other formats, while maintaining an excellent user experience for employees on their networks. 
Prakash Mana
CEO, Cloudbrink

NETOPS CHALLENGE: DEEPFAKE ATTACKS

Deepfake-driven attacks will become the norm in the corporate world as cybercriminals embrace AI. Imagine attacks that use real-time voice and video cloning to impersonate executives, or fake "live" Zoom/Teams scams, or AI-written business email compromise (BEC) attacks that adapt mid-conversation. If you can imagine it, cybercriminals can do it. Not only are these attacks more difficult to detect, they are cheaper and easier for criminals who can now focus on compromising people to get at a company. Add these individual AI attacks to employees that work from anywhere and it becomes critical for corporate security controls to move away from protecting just the office or the organization with perimeter or network security. Every user, and every device, should be verified every time, regardless of location.
Prakash Mana
CEO, Cloudbrink

NETOPS CONVERGES WITH SECOPS

NetOps will (hopefully) fully converge with SecOps under a single goal: maintaining secure network intent across hybrid infrastructure. As automation deepens, network teams will adopt observability models that continuously validate connectivity, performance, and compliance. I believe that by 2026, successful NetOps organizations will rely on real-time topology awareness and policy-driven automation to reduce both downtime and exposure windows, ensuring agility doesn't come at the cost of control.
Erez Tadmor
Field CTO, Tufin

CLOUD-LIKE EXPERIENCE FOR THE EDGE

Edge computing will become a bigger part of the narrative in 2026. It's been reported, but my conversations with clients are starting to lean heavily on how to bring cloud-like experiences into a hybrid edge environment. AI, whether generative, agentic, or traditional, is becoming a bigger part of the conversation at the edge. Innovating, managing, and scaling solutions for a large fleet of devices/locations will be a big ask and clients want a similar experience for those environments as they have with their cloud operations.
Juan Orlandini
Chief Technology Officer, North America, Insight Enterprises

FRONTIER EDGE

The industry's definition of "the Edge" is now obsolete; 2026 is here, and so is the "Frontier Edge." This shift is driven by several compounding pressures: the explosion of AI-generated content, the massive amount of data for inference (from immersive 8K media to critical AI model updates), and the necessity of connecting the never thought before locations, such as the deep sea, outer space, and the quantum world. However, consumer immersive traffic always takes center stage and competes with critical data, leading to a choke point within cellular 5G, Wi-Fi, and satellite networks. Avoiding this contention requires an immediate architectural shift away from congested and designed for one-to-one communication systems (e.g., cellular 5G, Wi-Fi, satellite), to a scalable, one-to-many distribution like the broadcast networks to ensure seamless and reliable connectivity in the Frontier Edge era.
Apoorva Jain
CPO, EdgeBeam Wireless

DIGITAL TWINS

The digital twin is evolving from a visualization tool into a practical workspace for network planning. It's becoming the operational backbone that unifies teams, accelerates design cycles and drives smarter decisions throughout the entire lifecycle of a network. Although still in the early stages, digital twins are rapidly evolving into a key enabler for AI-driven network lifecycle management, powering faster and more precise strategic planning.
Kelly Burroughs
Director of Strategy and Market Development, iBwave Solutions

WORK ANYTIME

Work from anywhere will become work anytime. Back-to-office mandates have pulled many workers back to the office, but WFH habits die hard. Many tech workers are used to logging in at times convenient for their schedule or work habits. Our usage data early this year showed heavy transfer of data on Fridays, an indication that "work from anywhere" employees actually put in longer hours than their "9 to 5" counterparts — with heavy usage starting at 7:00 am and continuing to 7:00 pm. In 2026 we expect to see more workers logging in both at the office and at home in their off-hours, which may temporarily increase productivity, but burn workers out more quickly. Companies will need to focus on worker experience as well as productivity.
Prakash Mana
CEO, Cloudbrink

Go to: 2026 Cloud Predictions

Related Links

Hot Topics

The Latest

When the Database Is the Problem, Is APM Enough?

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

From Cleanup to Prevention: The Future of Cloud-Native Cost Optimization

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

The Real Enterprise AI Risk Isn't Hallucinations

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

Beyond Buy vs. Build: The New Playbook for Data Pipelines

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

The Corporate Network Is Fading - Here's What Replaces It

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

IT Leaders Must Establish a Network Data Architecture Practice

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

Data Center Outages Are Decreasing but More Costly

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

Observability Has a Physical Layer Now: What AI Infrastructure Teaches IT Operations

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

TLS Certificate Expiration Is Becoming an Observability Problem

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprise Cloud Observability: Choosing the Right Starting Point

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...