The Entry-Level IT Job Is Disappearing. Security Certification Is How You Get In Anyway
September 29, 2026
Jillian, CMO— AI-assisted and reviewed prior to publication.
The traditional first job in IT, the help desk seat that taught you networking and troubleshooting on the job, is shrinking as AI absorbs password resets and basic ticket triage. The way in now runs through a security-focused certification that proves you can do the analysis work AI still can't, not through years of Tier 1 experience employers are no longer offering.
What's Actually Disappearing From Entry-Level IT Work?
It's the repetitive, rules-based tasks that used to fill a new hire's first two years on the job. The U.S. Bureau of Labor Statistics projects that employment of computer support specialists will decline 3 percent from 2025 to 2035, and it says so plainly: employment of computer user support specialists is projected to decline as organizations continue to implement automated tools, such as chatbots, for troubleshooting. The agency adds that this shift may push remaining staff toward more complex cases, but this use of automation may free up some computer user support specialists to handle more complex cases and troubleshooting that require attention, but fewer are expected to be needed overall.
That's not an isolated data point. Research from the World Economic Forum found that entry-level jobs in the US have fallen by 35% in the last 18 months, in large part because of AI, with routine task execution being the first thing automated out of junior roles. Help desk work is a textbook case: password resets, basic access requests, and first-pass triage are exactly the pattern-matching tasks that AI handles cheaply and consistently, which is why the job that used to train new IT workers is the one losing headcount first.
Where Is the Growth Actually Happening?
It's concentrated in roles that require judgment, not ticket volume, and cybersecurity is the clearest example. While general IT support contracts, employment of information security analysts is projected to grow 29 percent from 2024 to 2034, much faster than the average for all occupations, according to the same BLS handbook, with a median annual wage of $124,910 in May 2024. The agency also projects about 16,000 openings for information security analysts each year, on average, over the decade.
That gap between a shrinking on-ramp and a growing destination is the real story for anyone early in an IT or security career. You are not choosing between a safe path and a risky one. You are choosing between a path that is closing and one that is opening, and the skills that get you from one to the other are not automatically included in a computer science curriculum or a support desk job description.
Employers are responding by investing in AI-adjacent skill building rather than waiting for the market to produce ready-made candidates. CompTIA's most recent workforce research found that the go-slow approach is due in part to skills gaps in using AI tools, identified by 45% of firms, and in basic cybersecurity topics (43%), which tells you the gap isn't just technical depth, it's baseline readiness. On the practitioner side, industry survey data reported by GovTech shows professionals moving to close that gap themselves: they are also leaning into AI, with 70 percent pursuing AI qualifications and most expecting it to create more strategic and communication-focused roles.
Why Are Employers Skeptical of AI Skills Claimed on a Resume?
Because a resume line and a demonstrated skill are not the same thing, and hiring managers say they can usually tell the difference. Survey data covered by Built In found that in a survey of 1,000 U.S. hiring managers, 78 percent said AI tool proficiency was at least somewhat important, while only 19 percent called it very important, and that most hiring managers factor in AI, but few rank it above the skills they have screened for over decades... outside of AI engineering and similar technical fields, employers don't tend to expect fluency. What they expect is proof of applied use, not a claim of familiarity.
That skepticism runs both directions. A 2025 hiring survey found that 88% of those surveyed say they can tell when candidates are using AI to help with applications, cover letters, or resumes, and even with widespread AI adoption inside hiring departments themselves, 93% of hiring managers emphasized the importance of human involvement in the hiring process. In practice, this means a listed skill without a credential or a demonstrable project behind it reads as noise. A certification exam, by contrast, is a controlled, third-party-verified test of whether you actually know the material, which is exactly the kind of proof that cuts through claim-fatigue on the hiring side.
How Do You Use a Certification to Skip the Broken On-Ramp?
You target the certification that maps to where hiring is actually growing, not the one that maps to the job title you'd have gotten five years ago. For most people coming from general IT or a support background, that means moving toward a foundational security credential rather than another help desk qualification. The CompTIA Security+ certification covers the core defensive skills, risk concepts, and operational security knowledge that hiring managers use as a baseline filter for security-adjacent roles, which makes it a practical next step whether your current job title says support technician or something else entirely.
The certification itself does two things a resume line can't. It gives a third party's word that you cleared a defined bar, and it gives you a concrete study record you can talk through in an interview when someone asks how you actually use the tools you claim to know. If you're mapping out which certification fits your current role and where it leads next, the curriculum overview and FAQ pages in the Forge University resources section walk through prerequisites, exam objectives, and typical next steps so you're not guessing at the sequence.
None of this requires becoming a machine learning specialist. It requires being able to show, concretely, that you understand where AI helps a security or IT workflow, where it introduces new risk, and where a human still has to make the call. That's a narrower and more attainable target than the vague "AI skills" line cluttering most resumes right now, and it's the target that certification bodies have actually built exams around.
What This Means for Your Next Two Years
The practical shift is this: stop treating the help desk as a guaranteed first step and start treating a security certification as the credential that does the same job faster. The roles growing fastest, including SOC analyst work covered by credentials like CompTIA CySA+, reward people who can read an alert, understand context, and make a judgment call, not people who can close routine tickets quickly. AI is already closing that second category for you.
If you're early in your career or shifting out of general support work, the sequence that makes sense is a foundational security certification first, followed by role-specific credentials as you find out which part of the field fits you. You don't need to have that fully mapped out before you start. If you want a study plan built around this, you can start training whenever you're ready, and adjust the path once you have a clearer sense of which roles you're aiming at.
The math here isn't complicated. One entry point is shrinking by BLS's own projection, the other is growing nearly seven times faster than the average occupation, and the credential that gets you into the growing one is a known, study-able target rather than a vague aspiration. That's a better bet than waiting for a help desk seat that may not exist in the shape it used to.