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Cybersecurity

🇺🇸 United States · Engineering
First to lose entry-level jobsAmong the riskiest 22% of 220 majors

My Major Lifespan

1 yr 11 mo
00days 00:00:00:000

until AI starts shrinking hiring of this major’s graduates
Sep 24, 2028 · 728 days left

Likely range now – 4 yrs 11 mo
Class of 2030: the hiring decline may start before you graduate
AI already handles tier-1 alert triage and monitoring, along with routine high-volume penetration testing, the usual entry points for new hires, so these jobs shrink first. Defense and federal roles that require a security clearance and U.S. citizenship, plus job postings that outnumber graduates, prop up demand, so the pressure arrives slightly later than for general junior developers.

Major lifespan is the time left until AI is expected to start shrinking hiring of this major’s graduates. It doesn’t mean the major will disappear or that everyone will lose their job.

AI vs Humans: whose side are you on?

Entry-level hiringShrinking
Among majors48 / 220
Main career growth 25–35+21%

Where graduates go

2030

Career paths · time left at graduation in 2030

Cybersecurity: how AI affects graduate hiring

A new cybersecurity hire usually starts by watching alert dashboards and running the same penetration tests repeatedly, exactly the routine work AI tools now do well. What holds this major up better than general software degrees is that many security jobs sit inside defense and federal agencies, which limit who can even apply.

Why does cybersecurity see pressure a bit later than coding majors?

Tier-one alert monitoring and routine, high-volume penetration testing are the entry-level tasks AI already handles well, so those roles shrink first. But defense and federal security jobs require a government clearance and U.S. citizenship, a barrier no AI tool changes, and there are still more open postings than graduates to fill them, which buys this major some time.

How does a penetration tester's path differ from a network engineer's?

Penetration testers doing repetitive, scripted attacks feel this earliest, since that kind of testing is easy for AI to automate at scale. Network engineers and system administrators, who keep an organization's actual infrastructure running day to day, face the pressure a little later, since diagnosing a live outage still calls for hands-on judgment.

What should a cybersecurity student focus on now?

Get hands-on with real infrastructure, not just simulated attacks, by setting up your own home lab or contributing to a bug-bounty program, since that's harder for AI to fake in an interview. If a security clearance is realistic for you, start that process early, since it opens doors that stay closed to AI tools and to applicants without it.

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Sources

Sources describe work, regulations and education. AI replacement dates and scores are AI estimates, not predictions by the cited organizations. Methodology