The overall state of network infrastructure going into 2026 can be summarized as simultaneously more capable and more fragile than many organizations would like to admit. On the surface, capacity continues to grow: pipes are expanding, equipment is scaling up, and networks are carrying vastly more traffic than ever before. At the same time, repeated outages such as Cloudflare, AWS, and Verizon, have made it clear that even the largest firms have work to do in continuing to modernize the underlying infrastructure.

Looking at the market from the service provider side, increasing capability is a long-standing trend that started 30 years ago, and is being accelerated by AI demands within and among data centers and data center infrastructure, and deeper integration with third-party cloud providers. Connectivity models such as private access to multi-cloud environments, VPN-like services, and managed offerings are no longer edge cases but the norm, and their adoption continues to rise. The enterprise side of the market reflects a related but distinct set of dynamics, where enterprises are increasingly focused on LAN-based services such as VXLAN implementations and VPNs, largely driven by the need to manage private and hybrid cloud environments.
In many cases, the fragility being exposed within the system is not the result of new technologies failing, but of very familiar problems: legacy systems, manual processes, and human error. Many organizations appear to be relying on incremental fixes, the “duct tape and bubble gum” approach, rather than stepping back to address foundational issues – fixes that are further incentivized when most businesses can’t survive more than one outage.
Rather than building deep internal expertise, many organizations are leaning more heavily on large commercial platforms, both private and public managed service systems, and external integrations, a continuing trend that is reinforced by cost pressures and outsourcing labor, and contributes to the growth of engineering silos. Traditional distinctions between network administrators, system administrators, database specialists, and developers are eroding, replaced by expectations of full-stack understanding. The net effect is that intelligence and decision-making are increasingly centralized within large providers and vendors, while expertise inside end-user organizations is diminishing.
This suggests an ecosystem in 2026 where dependence on service providers, cloud platforms, and software vendors continues to grow. Networks will continue to grow larger, faster, and more interconnected, but also more opaque to the organizations that rely on them. Self-service models are giving way to greater hand-holding or full outsourcing, which may simplify operations in the short term but raises longer-term questions about resilience, accountability, security, and the ability to respond effectively when inevitable failures occur.
One of the largest questions, for example, being that while service-level agreements (SLAs) exist as a check on these failures to provide a mechanism for accountability, are they enough when failures happen so often and are so impactful?
What’s changed about the network environment
What feels fundamentally different about today’s network environment is not any single technology shift, but the way accountability, operational boundaries, and risk have been rebalanced across the ecosystem. Two or three years ago, many organizations still approached networking as a managed internal competency supplemented by outside help; vendors, integrators, and consultants were often positioned as partners co-building solutions. Today, that posture has moved decisively toward outsourcing as a mechanism for transferring liability. The expectation is increasingly “you run it,” not “we build it together,” with internal teams serving as project managers at best (and sometimes outsourcing even that). This is less about a shortage of talent in isolation and more about the economics and governance of modern operations: firms are trying to reduce cost and exposure while keeping services stable enough that business stakeholders perceive the environment as “working.”
That shift has created a paradox for infrastructure providers and technology leaders alike. As internal expertise churns through attrition, reorganization, and role compression, external specialists often become the de facto institutional memory. In practical terms, networks are now maintained by a patchwork of third parties and distributed teams optimized for continuity rather than deep ownership. The model can keep the lights on, but it changes the nature of resilience. Resilience is no longer rooted in a small group of highly capable operators who intimately understand architecture and tradeoffs; it is increasingly rooted in process coverage, staffing depth, and escalation paths. When it works, it works quietly. When it fails, the blast radius can be wider because fewer people have end-to-end context, and the last remaining experts may sit outside the organization.
At the same time, the boundaries that used to define “enterprise” versus “service provider” networking have blurred. Many organizations now operate in a hybrid posture that resembles an MSP: they need to support service-provider-like reliability expectations alongside enterprise variability, all while integrating an expanding set of third-party services. Overlay networks, federated systems, and externalized platforms mean that “the network” is no longer confined to infrastructure an organization owns or fully controls. It is an environment stitched together across providers, clouds, and partners, with dependencies that are operationally real even when they are contractually abstract. That makes troubleshooting, governance, and change management more complex than it was when network domains were clearer and accountability was more centralized.
In short, today’s network environment is defined by distributed ownership and blurred operational borders. Stability can be deceptively reassuring, even as underlying complexity and accountability fragmentation increase, and the organizations that adapt best will be those that treat outsourcing and overlays not as ways to escape responsibility, but as architectures that require explicit visibility, governance, and documentation discipline designed for a world where the network is as much a web of relationships as it is a set of devices and links.
What IT leaders should be thinking about
What business and IT leaders should be paying closest attention to right now is not any single technology trend, but the widening gap between how risk is understood on paper and how it manifests in reality.
Artificial intelligence, cloud, and emerging technologies like quantum computing dominate headlines, much as cloud computing once did when nearly every product was suddenly branded “cloud-enabled.” The less obvious issue is not whether these technologies are real or transformative (they very clearly are) but how rapidly they are reshaping the threat landscape in ways most organizations are structurally unprepared for. Security threats today are cheaper to launch, easier to automate, and far more destructive in their downstream impact. Attacks that once required sophisticated actors are now accessible to minimally skilled individuals using commoditized tools, yet the consequences can be existential for unprepared firms.
At the same time, many organizations still rely on compliance frameworks as a proxy for security maturity. Checking boxes against established standards may satisfy auditors, but it does little to address how attacks are actually evolving. Compliance regimes are, by design, backward-looking and slow-moving. They codify what was once considered good practice, not what is required to defend modern, highly interconnected systems. In fast-changing environments where infrastructure, identity models, third-party integrations, and encryption assumptions are all in flux, rigid adherence to static controls can actively hinder an organization’s ability to adapt.
At the same time, many organizations still rely on compliance frameworks as a proxy for security maturity. Checking boxes against established standards may satisfy auditors, but it does little to address how attacks are actually evolving. Compliance regimes are, by design, backward-looking and slow-moving. They codify what was once considered good practice, not what is required to defend modern, highly interconnected systems. In fast-changing environments where infrastructure, identity models, third-party integrations, and encryption assumptions are all in flux, rigid adherence to static controls can actively hinder an organization’s ability to adapt.
This creates a particularly acute challenge for technology leaders. The modern CTO and CIO are simultaneously responsible for operational stability, continuous innovation, and active defense. Keeping systems running is no longer enough; leaders must assume that attack is constant and that resilience, not prevention alone, is the goal. This requires shifting attention from surface-level assurances toward deeper questions: how quickly can systems be hardened, segmented, or recovered when assumptions fail? How well do security models hold up as passwordless authentication, encrypted data, and decentralized architectures become the norm? And how exposed is the organization to weaknesses introduced by partners and platforms it does not directly control?
The most capable technology leaders are learning that, while they have to pay attention to everything, they also have to accept that they cannot prioritize everything equally. They must be proactive with regard to resilience and security architecture while remaining agile enough to react elsewhere. In an environment where both innovation and attack are accelerating, success increasingly depends on the ability to adapt faster than yesterday’s assumptions, not on the comfort of having complied with them.
Looking forward
Looking forward, the path out of this tension is not mysterious, but it does require a different ordering of priorities than many organizations have followed over the last decade.
The first step is visibility, not as a tooling exercise but as an operational posture. Organizations need to be able to see their networks as they actually exist, not as diagrams frozen in time or abstractions presented by vendors. That means understanding dependencies across clouds, providers, and partners, knowing where authority truly resides during an incident, and having a clear picture of how traffic, identity, and control planes intersect. Without this baseline, every other improvement is built on assumptions that will eventually fail under pressure.
From there, the harder work is rebuilding institutional understanding. This does not mean recreating the large, siloed infrastructure teams of the past, but it does mean investing in shared mental models of how systems behave and why decisions were made. Documentation, cross-disciplinary education, and deliberate knowledge transfer matter more in outsourced and hybrid environments, not less. When expertise lives only with vendors or a shrinking number of external specialists, organizations lose their ability to ask the right questions, evaluate tradeoffs, or respond decisively when conditions change.
Only after visibility and understanding are in place does control become effective. The goal is not heavier governance or more intrusive management, but deeper and more precise control that can be exercised quickly and selectively. Controls should be designed to limit blast radius, enable rapid isolation and recovery, and adapt as architectures evolve, without constraining day-to-day operations. In complex, interconnected environments, resilience comes from having the right levers available at the right moments, not from pulling every lever all the time.
As networks continue to expand and responsibility continues to diffuse, the organizations that fare best will be those that resist the temptation to outsource awareness along with operations. Outsourcing can reduce effort, but it does not remove accountability. In 2026 and beyond, resilience will belong to those who can see, understand, and intervene clearly decisively, especially when their infrastructure no longer sits entirely within their walls.