We’re now in mid-April, 2026. There are more than a million unfilled Network Engineering roles GLOBALLY. The field (Networking) is projected to grow 12% in the next decade, nearly double the average for all occupations. The global market for network engineering services is on a trajectory to hit $133 billion by 2034.
And I’m watching entry-level positions quietly shrink.
I’m a sophomore at the New Jersey Institute of Technology studying networking and IT. The majority of the work I do is building upon the concepts that’ll allow me to obtain the Cisco Certified Network Associate (CCNA) certification. Through spending tons of time and money on physical gear whether intermediary devices or end user based in a Home Lab I put together deliberately. This isn’t because I had to, but rather because I understand something about the moment I’m walking into. I’m not arriving at this field during a period of stability, nor was the field at a stable point in what could be argued the last decade-and-a-half or so since the expansion in the commercialization of the Internet. I’m arriving during a critical moment in restructuring in the field. And I think most people, whether students, professionals, and institutions alike are misreading what’s really happening.
Headlines will tell you the field is growing to an absurd number. And they’re right. The practitioners will tell you automation is eating the entry-level. They’re also right. That both are true simultaneously isn’t a contradiction, it’s the whole story needing to be addressed.
This post is an immersed-sophomore's attempt to tell that story. Where this field came from, what it’s founding principles built into the DNA and structure, what the data says about where it’s going, and what all of that means for someone like me who’s sitting writing this in their college dorm in Newark early 2026, trying to make intelligent bets about where to put my energy.
I’m not writing this as an expert. I’m writing this as someone with skin in the game and ready to go even further.
The First Transmission
Here’s where it begins! A consistent theme that gave birth to the understanding of the internet. Not a sole, specific, and exact moment in time. Jumping into a IMP-logged recording (the original routing device) moment on October 29th, 1969. A team of researchers utilized a terminal that connected 2 machines of different operating systems and architectures under ARPA at the time, with one of the machines being a Stanford Research Institute occupied one roughly 350 miles away. UCLA attempted to send the full word “login” Only after the first two letters L and O did the system crash. And that became the very first message ever sent over a medium that would set the foundation for the internet. This medium was a telephone network utilized to launch the new technology of packet switching which would render the old way of internetworking obsolete.
Most people are under the widespread belief that APRANET was built as a military failsafe . A network designed to survive nuclear war by rerouting around destroyed computers. Again this is most people who’ve read that story and continue to attach a different origin to it.
ARPANET was funded by DARPA but it’s primary motivation was research collaboration between intellectuals across vast geographic distances. Scientists around the world in fact were all working towards the packet switching capabilities that would lead networking technology into the 70’s, such as France’s Louis Pouzin and the Cyclades Project, and the United Kingdom’s Donald Davies, National Physics Laboratory. And only from these sources came about the concept of packet switching.
The distinction matters more than it seems and is why I put emphasis on it. Because of the principles that came out of the original intent being openness, shared access, collaboration by design, this all baked into the architecture from day one. Architecture carries on even in modern day technology, architecture houses memory.
The network ran on NCP–Network Control Protocol. NCP established something that wasn’t just a way to move data, but to allow multiple applications to share the same network services on a single host. Using networking terms, we now utilize TCP and UDP for this ‘transportation’ layer, utilizing a duplex system, but back then it was 2 ports, even and odd, and super slow. NCP made the rest of packet switching structural.
Its ceiling, tightly coupled applications to the network beneath them. So when you change something about one layer, you break the other. The researchers at the time realized this wasn’t just technically a problem but philosophically. A network built for institutional collaboration and distant communication at the same time couldn’t afford to be brittle.
So we got our first separation of the layers.
Ultimately, coming from the decision that everything has been built upon. The decision to decouple application protocols from the underlying network services meant each layer could evolve their own way independently. Fulfilling the goal of having two distinct layers/architectures fulfill a “conversation” or exchange of data.
Giving rise from that thinking was the dawn of TCP/IP. In 1977, it was put into operation for the first time. January 1st, 1983 is when it officially made NCP obsolete across ARPANET, setting the new standard for the transport protocol/transmission layer. That date is known as Flag Day among technicians and network engineers. Everything you study for in the CCNA, every protocol running the global internet right now, all runs on a foundation that was formally established on that day.
The OSI model didn’t happen by accident either. It’s the descendant of the same philosophy. Takes out the complexity, defines the boundaries between layers, and lets each one do its job without needing to know what the others are doing internally. Providing the modern day methodology for troubleshooting, scaling, and creating networks. This is the principle.
Here’s why I’m spending time on this.
The engineers who understand this field historically don’t just know what the protocols do, they know the why and the why the architecture is shaped the way it is. That’s a different kind of knowledge. And it’s the one that tells you something useful when you notice the field changing. Let me call back to what I said about the telephone network, that’s still with us today, but that plays in the tight relationship the networking and telecommunications industries have with each other.
Because it moves along the same lines, take away the complexity and you build for resilience. Every single major technological shift in this industry has followed that pattern, and the one happening now is no different.
Laying The Foundation
This story is the blueprint of what this field is all about. Every time the field shifted, in which it has multiple times, it shifted along those guiding lines. To abstract away the complexity, decouple the layers, and build for resilience. It’s architecture with memory and the people who built this field (notably scholars and researchers who expressed engineering mindsets) encoded their philosophy into the structure itself. Repeating the pattern throughout history.
And understanding that pattern is what separates engineers who see change coming from the engineers who’ll get surprised by it. Here's how it (the pattern) works.
A new technology enters the field from below. Cheaper, simpler, and doesn’t do everything the solution prior does. The engineers look at it and call it inferior, also they are usually right about that at first. The new tech has real limitations, it struggles to handle edge cases, and it isn’t enterprise-grade/ or ready. The engineers remained unfazed or lack a worrisome response. Then it gets better.
It improves quietly, closing the gap on things it couldn’t do. Because it was always cheaper and simpler it allowed adoption of the technology to spread fast in the places that can no longer afford the old way. By the time the established engineers realized that it’s a real threat, it’s already inside the walls and echoed by the workers around them. This field has watched that play out before though.
SDN known as Software Defined Networking was supposed to collapse the traditional networking model around 2012 and the argument was clean. Why would you need expensive proprietary hardware when you can abstract the control plane into software itself? Cisco’s entire business model was at risk, they were the leading company in network hardware and certain specialized telecommunications at the time. So the engineers pushed back hard.
SDN remains a moment in history that relates to right now. SDN didn’t kill traditional networking and not on the timeline people would’ve predicted. The enterprise adoption was even slower than expected. The edge cases were real. Migration complexity was the most remarkable challenge. But here’s what actually happened. SDN didn’t need to win to change the field. It changed what skills matter.
It pulled automation and programmability from the edges of the job description or adjacent fields to the center. Engineers who had spent careers mastering Command-Line-Interface only workflows, suddenly found those workflows being immediately abstracted away, distracted and preoccupied but not eliminated or removed. Abstracted.
That’s the move and it’s always the same move. The layer gets abstracted, complexity is hidden, and the engineers who only understood how to operate within that layer find themselves with less to stand on. Not why it existed however. The founding principle of this field was decoupling. Separating layers so that now each one evolves independently, so that solutions are made to solve the many complexities of interconnecting them. The irony is that the same principle is exactly what keeps disrupting the engineers inside it. The data will show you how far along that disruption already is.
What The Numbers Actually Say
The Bureau of Labor Statistics projects network engineering employment to grow 12% from 2024 to 2034. Nearly double the average growth across all occupations. It’s a number that should end the conversation about whether this field has a future. It actually starts the real conversation.
That projection alone doesn’t tell the full story. Analysts project over 1.2 million unfilled network engineering roles globally in 2025. A massive talent shortage at that scale in a field that’s supposed to be growing faster and more than double your average occupation. That SHOULD mean entry level pipelines are overflowing with opportunity. Bad news is that they aren’t.
The contradiction here is the whole argument. Only looks like it’s a contradiction until you understand what the exact talent the market is short on. The global network engineering services market was valued at $60.7 Billion in 2025. Projected to reach $133 Billion by 2034. A field doubling it’s market value as well inside of a decade. Growth is real, but the market is splitting visibly and fast.
Demand for the roles built around manual configurations and CLI-only based skillsets are narrowing. Not due to relevance, but because those skills alone are no longer enough. The floor of what the market requires has moved while a lot of people were looking at their cert roadmaps and assuming the path was the same one it’s always been. But certifications along with post-secondary education is linear, not exponential.
On the other hand of said split, the demand for engineers who can design the secure AI-capable and ready, operate in hybrid cloud environments, and bridge the gap between networking and security is climbing faster than the pipeline can usually fill it. And this is where the 1.2 million unfilled roles live. Not in entry-level positions, but in the space where the blend of skills meets real infrastructure complexities. We need people who can do more than one thing well at the same time, a challenge traditional academic institutions face as they can’t produce this kind of hybrid skill fast enough.
Engineers who treat the CCNA, A+, Network+, or the entry level certifications as the sole way in are the ones who feel the squeeze. Engineers that treat certs and credentials as foundations, being the first layer of a much larger skill stack are the ones the market is being shaped for.
The field is growing, the ceiling is rising, and the floor moved up to meet everyone who’s been standing still. The next question is where the money is actually going, because the employment projections tell you the field is growing. The capital expenditure numbers tell you exactly why, and it’s scale is the part that shuts down the conversation.
Where $725 Billion Is Going
Google’s CFO confirmed it to the public. 40% of Google’s capital expenditure (CapEx) goes toward “long cycle assets”. This isn’t servers, software licenses, this is data centers and networking equipment specifically. That’s the job market we’re all reading about.
Data center infrastructure spending has reached $290 billion in 2024. By 2030 it’s projected to approach $1 trillion in annual spending. A forecast of where the capital is physically moving as of late. Here’s a mouthful, the combined projected capital expenditures of Amazon, Google, and Meta in 2026 nets out to nearly two thirds of the annual U.S. defense budget. Just three private companies in a single year. Two thirds of what our government spends towards defending the country and it’s military complex. That’s the physical infrastructure argument, not employment projections, and not market forecasts. It’s real capital going into real buildings with real networking equipment/hardware that real engineers have to design, build, and maintain.
Infrastructure alone isn’t the entire picture. We need to dive into how AWS, Azure, and GCP became the dominant cloud platforms. It wasn’t an accident. They followed a specific pattern, aggregating demand. Pulling in customers with lower costs and better scale than anyone could build on their own. Locking in the values they’re at by continuously improving the platform beneath them. Aggregation Theory in action. The platform gets stronger as more people use it and as the engineers embedded into the workflows become more involved making them part of the value chain.
Meaning for you, a network engineer who only knows how to configure hardware sits beneath that value chain. A commodity input, replaceable, obsolete to business migrations. An engineer who understands the traffic moving from the configuration throughout it’s hybrid environment, an engineer who can reason about the connectivity across on premise infrastructure and cloud platforms simultaneously, sit inside the value chain. These are the people keeping the whole operation running.
AWS, Azure, and GCP consolidating the cloud market didn’t shrink the opportunity for network engineers, they concentrated it. It’s more complex infrastructure than anything that existed in the last 40 or so years. The engineers who understand both the physical and abstracted layer are exactly who that $290 billion is creating the huge demand for.
The money tells you that the ceiling is real. But without heavy insight, it doesn't tell you why the talent pipeline isn’t filling fast enough to meet it. A gap between what the market needs and what institutions produce with a specific explanation hiding in plain sight.
Why The Pipeline Can’t Keep Up
So that ~$725 billion exists, meaning the demand is real, and the infrastructure is being built as we speak. You hear the concerns as it’s happening, so why can’t the talent pipeline fill fast enough to meet it?
Because the market moves exponentially. I mentioned earlier how institutions move linearly. These two things cannot occupy the same timeline without there being a gap. That gap is exactly what the 1.2 million unfilled roles are measuring.
This is what it looks like in practice. Technology continuously compounds. Every layer of infrastructure built creates demand for the next. Cloud adoption created demand for hybrid skills, hybrid networking created demand for engineers who understand the security as a native part of network design, and AI infrastructure created demand for engineers who can reason about traffic at a scale that didn’t exist previously. Each shift doesn’t make the previous one eliminated from the equation, it stacks on top of it. The ceiling keeps rising because the compounding will not stop.
How about institutions? Well they simply ‘update’. Universities usually operate on the four-year curriculum designed around the skills the market needed in 2022. This is what most students or scholars are sitting through right now in 2026. By the time that curriculum gets reviewed, approved, updated, and taught, the market has already moved. It’s not to crticize institutions, it’s a structural reality. The review process of these new academic credentials makes the process slower than the rate their respective industries are heading.
Same could be said for certification bodies even if they move faster. Certifications simply validates what the industry agreed mattered at the time it was written. The CCNA is a strong foundation for this as it covers protocols and concepts genuinely foundational and can not be eliminated. But a cert like that alone does nothing to close the gap between what the exam tests and the job actually requires on day one. Engineers filling the 1.2 million unfilled positions aren’t just certified, they are building things and operating in environments that no exam fully replicates.
And so hiring pipelines face the same problem from the other direction. Job descriptions are written by people describing their last hire’s role, the tools and technologies that were standardized when the role was last filled. By the time the posting goes live, gets approved, listed, applied to, and hired into, the role itself is shifted. 68% of hiring managers report being understaffed in AI and ML operations. 65% of this is in cybersecurity and 59% in cloud computing. These are numbers describing a shortage of people whose skills match what the posting actually needs today.
The market is rewarding engineers who close that gap themselves. Ones who don’t wait for a curriculum update to learn what the market already needs. Ones who build the labs and document the work publicly and develop skills that aren’t on any exam yet because the exam hasn’t caught up. That’s not a competitive advantage, because at the point were at right now it’s the bare minimal viable response to the speed at which the field is moving.
The question is what gives someone the best chance of closing that gap while institutions around them continue to catch up. For me that answer starts in a college dorm in Newark.
The Part Nobody Else Can Write
I'm writing this from a city that I never knew sat in one of the most infrastructure-dense corridors in the nation. Newark, New Jersey isn’t a tech hub like silicon valley is described. It’s nowhere near that reputation. It’s still more useful for someone trying to break into the field and that’s the actual companies.
Verizon’s New Jersey headquarters sits on 540 Broad Street in downtown Newark. Prudential Financial, which has over 5,000 employees, is headquartered here in one of the biggest buildings in the city with its global corporate office on 751 Broad Street being blocks away from it’s second tower. Audible is here with it’s tower, Horizon Blue Cross Shield, PSE&G, RWJBarnabas Health, these companies aren’t just nearby, they are here. Even AT&T’s operational infrastructure runs through the same corridor.
Not companies you apply to from across the country hoping to get noticed, these are the ones practically in the backyard of the university I attend. NJIT’s career development services office maintains the active recruiting relationships with Verizon, JPMorgan Chase, Bank of America, Merck, Bristol Myers, and others as consistent hiring partners for co-ops, internships, and full-time positions. ~1,700 NJIT students are placed into co-op and internship positions every year. The career fair brings more than 240 employers onto campus with roughly 3,000 students in the same room. PGIM, a Prudential asset management arm, runs a dedicated technology internship program specifically out of Newark. Panasonic has an IT audit internship based here, Port Newark Container Terminal runs here as well. The pipeline is operational and local.
The honest part. NJIT gives me access that self-study alone can’t replicate. Will the peer cohort I’m building here become my professional network for the next 30 years? The faculty connections, lab infrastructure, career pipeline, the institutional credibility on a resume, these are things that are real and they matter. I’m not going to pretend otherwise/ But then again, NJIT’s curriculum moves on an academic cycle.
The market doesn’t wait for curriculum committees. What I’m learning in the classroom yet foundational, isn’t keeping pace with what the ~$725 billion in CapEx is actually creating demand for right now. In fact no major universities are. A structural reality addressed in Azeem Azhar’s “Exponential gap”. Institutions are adapting linearly, markets move exponentially, the gap between them is my individual problem to solve, not the university’s.
So the question or what I’m addressing isn’t the value of NJIT. It’s very much worth pursuing a degree here. The question is what am I doing with the parts of my education that the university can’t give me.
The answer is the lab. My home setup is based off of an extensive list of end devices and cisco gear. Physical work + extreme documentation that is public and citable. Obtaining the certifications to serve as my knowledgebases. These are things I am working towards nobody assigned me to. That’s where I close the gap, in the hours around it. Newark puts me close to the companies, NJIT puts me in front of the recruiters, what I do between these two is on me.
Test Yourself
The principles that made the field what it is today haven't changed. Since 1969, we’ve abstracted away the complexity, decoupled the layers, and forced us to build for resilience. All major shifts since has followed that same logic and the shift we’re in now is no different.
Zero-Trust isn’t a product. It’s the decoupling principle finding itself as a security application or practice. It stops assuming the inside of the network is safe, verify everything, and trust nothing by default. A founding philosophy in the field that extended into the world where the perimeter no longer exists.
SASE isn’t a trend. It’s the abstraction principle within the network edge. You pull the security stack into the cloud, remote connectability, and make the architecture resilient to geography. Same logic and a new layer.
Security becoming separable isn’t a pivot within the industry, it’s what happens when we return to our principles at scale. Engineers who see that connection and understand why these technologies exist (not just configuring them) are the ones operating above the floor that is rising.
The people who only know the commands and concepts will be caught off guard, even us students. Not because they’re bad engineers, it’s because they never understood what these commands were built on. Especially what purpose they serve in the first place. That’s the whole post.
Here’s the test. Pick the technology you’re most confident in right now. Something you’d put on your resume. Now answer these questions. Why does it exist? What problem was it built to solve? What layer does it sit on and what does it depend on below it? And if that layer gets abstracted away in the next five years, what happens to the skill?
If you can answer all three, you’re on the path above the ‘floor’. If you can’t, you know what to work on. The field is growing, the ceiling is real, the floor is rising, and its doing it faster than most people realize. Market speed. The engineers who will be fine are the ones who evolve with the field.
Cite This Intel
Stefan Peele. "The Field, The Moment, and What it Means for Us (Networking Industry)." Stefan Peele | Digital Archive, May 15, 2026.