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

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Cybersecurity

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

Major Countdown

1 yr 11 mo
06days 01:32:08:484

until AI starts cutting hiring for this major’s grads
Sep 24, 2028 · 708 days left

Likely range now – 4 yrs 11 mo
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.
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Entry-level hiringShrinking
Among majors48 / 220
Career growth 25–35+21%

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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