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6 Signals That an Architectural Shift Is Underway Across Enterprise Networks

A major architectural shift is underway across enterprise networks, according to a new global study from Cisco.

As AI assistants, agents, and data-driven workloads reshape how work gets done, they're creating faster, more dynamic, more latency-sensitive, and more complex network traffic. Combined with the ubiquity of connected devices, 24/7 uptime demands, and intensifying security threats, these shifts are driving infrastructure to adapt and evolve.

The result: IT leaders are changing how they think about the network: what it is, what it enables, and how it protects the organization. The network they build today will decide the business they become tomorrow.

Image
Cisco

Image Source: Cisco

Six signals that an architectural shift is underway:

1. The network has become a strategic priority

97% say a modernized network is critical to rolling out AI, IoT, and cloud. 91% of IT leaders plan to increase the share of their overall IT budget allocated to networking.

2. Secure networking is mission critical

98% say secure networking is important to their operations and growth; 61% say it's critical. 94% believe an improved network will enhance their cybersecurity posture.

3. AI intensifies demand for resilient networks

95% of IT leaders say a resilient network is critical, at a time when 77% faced major outages — driven largely by congestion, cyberattacks, and misconfigurations — adding up to $160B globally from just one severe disruption per business, per year.

4. Leaders look to AI to grow revenue

55% of IT leaders say a modernized network's greatest impact on revenue will come from deploying AI tools that automate and tailor customer journeys — enabling faster, more personalized experiences that can strengthen loyalty and drive growth.

5. AI is reshaping computing infrastructure

71% say their data centers can't yet meet today's AI demands, and 88% plan to expand capacity — on-prem, in the cloud, or both.

6. Leaders want to make networks smarter

98% say autonomous, AI-powered networks are essential to future growth — yet only 41% have deployed the intelligent capabilities — like segmentation, visibility, and control — to make their network adaptive.

"AI is changing everything — and infrastructure is at the heart of that reinvention. The network has powered every wave of digital transformation, accelerating the convergence of IoT, cloud, hybrid work, and defending against rising security threats," said Chintan Patel, CTO and VP Solutions Engineering, Cisco EMEA. "IT leaders know the network they build today will shape the business they become tomorrow. Those who act now will be the ones who lead in the AI era."

The Network is the Value: Modern Infrastructure Unlocking Growth and Savings

IT leaders are already delivering financial value from today's networks — largely by improving customer experiences (55%), boosting efficiency (52%), and enabling innovation (51%). But much of that value is at risk if it comes from infrastructure that hasn't been designed for AI or real-time scale. To unlock the full growth and savings they expect, leaders have identified critical gaps they must close: siloed or partially integrated systems (58%), incomplete deployments (51%), and reliance on manual oversight (48%). Smarter, more secure, more adaptive networks are the business case for investment. Nearly 9 in 10 (89%) say improved networks will directly drive revenue, and almost everyone (93%) expects meaningful cost savings — driven by smarter operations, fewer outages, and lower energy use.

C-suite turning to IT leaders and partners to lead the architectural shift

Cisco's recent research shows CEOs are aligned with IT leaders on the importance of infrastructure in the AI era. 97% are expanding the use of AI, and 78% rely on their CIO or CTO for investment decisions.

But they also recognize the risk: 74% say outdated infrastructure is already holding back growth.

As enterprise networks undergo a major architectural shift, the C-suite is backing their tech leaders to lead from the network — and 96% believe trusted partnerships will be critical to success.

Methodology: This global study is based on a survey of 8,065 senior IT and business leaders responsible for networking strategy and infrastructure at organizations with 250 or more employees. The survey was conducted across 30 markets in December 2024 by Sandpiper Research & Insights, on behalf of Cisco.

The Latest

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 ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

6 Signals That an Architectural Shift Is Underway Across Enterprise Networks

A major architectural shift is underway across enterprise networks, according to a new global study from Cisco.

As AI assistants, agents, and data-driven workloads reshape how work gets done, they're creating faster, more dynamic, more latency-sensitive, and more complex network traffic. Combined with the ubiquity of connected devices, 24/7 uptime demands, and intensifying security threats, these shifts are driving infrastructure to adapt and evolve.

The result: IT leaders are changing how they think about the network: what it is, what it enables, and how it protects the organization. The network they build today will decide the business they become tomorrow.

Image
Cisco

Image Source: Cisco

Six signals that an architectural shift is underway:

1. The network has become a strategic priority

97% say a modernized network is critical to rolling out AI, IoT, and cloud. 91% of IT leaders plan to increase the share of their overall IT budget allocated to networking.

2. Secure networking is mission critical

98% say secure networking is important to their operations and growth; 61% say it's critical. 94% believe an improved network will enhance their cybersecurity posture.

3. AI intensifies demand for resilient networks

95% of IT leaders say a resilient network is critical, at a time when 77% faced major outages — driven largely by congestion, cyberattacks, and misconfigurations — adding up to $160B globally from just one severe disruption per business, per year.

4. Leaders look to AI to grow revenue

55% of IT leaders say a modernized network's greatest impact on revenue will come from deploying AI tools that automate and tailor customer journeys — enabling faster, more personalized experiences that can strengthen loyalty and drive growth.

5. AI is reshaping computing infrastructure

71% say their data centers can't yet meet today's AI demands, and 88% plan to expand capacity — on-prem, in the cloud, or both.

6. Leaders want to make networks smarter

98% say autonomous, AI-powered networks are essential to future growth — yet only 41% have deployed the intelligent capabilities — like segmentation, visibility, and control — to make their network adaptive.

"AI is changing everything — and infrastructure is at the heart of that reinvention. The network has powered every wave of digital transformation, accelerating the convergence of IoT, cloud, hybrid work, and defending against rising security threats," said Chintan Patel, CTO and VP Solutions Engineering, Cisco EMEA. "IT leaders know the network they build today will shape the business they become tomorrow. Those who act now will be the ones who lead in the AI era."

The Network is the Value: Modern Infrastructure Unlocking Growth and Savings

IT leaders are already delivering financial value from today's networks — largely by improving customer experiences (55%), boosting efficiency (52%), and enabling innovation (51%). But much of that value is at risk if it comes from infrastructure that hasn't been designed for AI or real-time scale. To unlock the full growth and savings they expect, leaders have identified critical gaps they must close: siloed or partially integrated systems (58%), incomplete deployments (51%), and reliance on manual oversight (48%). Smarter, more secure, more adaptive networks are the business case for investment. Nearly 9 in 10 (89%) say improved networks will directly drive revenue, and almost everyone (93%) expects meaningful cost savings — driven by smarter operations, fewer outages, and lower energy use.

C-suite turning to IT leaders and partners to lead the architectural shift

Cisco's recent research shows CEOs are aligned with IT leaders on the importance of infrastructure in the AI era. 97% are expanding the use of AI, and 78% rely on their CIO or CTO for investment decisions.

But they also recognize the risk: 74% say outdated infrastructure is already holding back growth.

As enterprise networks undergo a major architectural shift, the C-suite is backing their tech leaders to lead from the network — and 96% believe trusted partnerships will be critical to success.

Methodology: This global study is based on a survey of 8,065 senior IT and business leaders responsible for networking strategy and infrastructure at organizations with 250 or more employees. The survey was conducted across 30 markets in December 2024 by Sandpiper Research & Insights, on behalf of Cisco.

The Latest

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 ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...