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AI is changing cybersecurity work, but current evidence does not show that it is eliminating cybersecurity jobs overall. Tools can assist with repeatable monitoring and investigation tasks; that is not the same as replacing an entire occupation. U.S. and global forecasts point to growth in security roles, but neither establishes how many jobs AI itself will create or displace.
Will AI replace cybersecurity jobs?
Some tasks may be automated or reshaped, and particular roles or workers can be affected. But the evidence available does not support a claim that AI is replacing cybersecurity as a profession. A tool that helps flag an anomaly can change how an analyst spends time without removing the need for people to assess risk, investigate incidents, make decisions, and communicate consequences.
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The distinction matters: task automation describes a change in workflow; occupation-level employment describes how many jobs exist. The sources below measure workforce respondents’ views, employer expectations, or broad occupational projections. None isolates AI’s net causal effect on cybersecurity employment.
What cybersecurity practitioners say is changing
ISC2’s 2025 Cybersecurity Workforce Study surveyed 16,029 cybersecurity practitioners and decision-makers across North America, Latin America, Asia-Pacific, Europe, the Middle East, and Africa. Its findings describe respondents’ experiences and opinions, not every cybersecurity worker or a measured employment forecast. Read the ISC2 study.
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AI adoption is underway, but adoption is not a job count
ISC2 reports that 28% of respondents had integrated AI tools into operations, 19% were actively testing them, and 22% were in early evaluation. Together, those stages represent 69% engaged in adoption activity. They do not show that the tools worked successfully, how many tasks they automated, or whether they saved or eliminated jobs.
Skills needs are prominent
In the same survey, 95% reported at least one cybersecurity skill need, and 59% described needs as critical or significant. Nearly nine in ten said their organizations had experienced at least one significant cybersecurity consequence associated with skills shortages. These are respondents’ reports, not independently measured incident rates.
AI was the leading skill need cited, at 41%, followed by cloud security at 36%. Respondents also anticipated broader changes: 73% believed AI would create more specialized cybersecurity skills, 72% expected greater need for strategic mindsets, and 66% expected broader skillsets. These figures capture beliefs and reported needs, not measured changes in hiring.
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ISC2 identifies monitoring network traffic, detecting anomalies, and flagging suspicious behavior as time-intensive activities AI-driven tools may help with. That describes potential assistance, not proof that every organization has automated these tasks successfully or removed the people who perform them.
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As tools take on more routine processing, workers still need to check outputs, judge risk, investigate incidents, design secure systems, and explain decisions. These are useful areas to build capability, not a guarantee that any particular task or role is immune to change.
Are cybersecurity jobs still expected to grow?
Two U.S. Bureau of Labor Statistics (BLS) outlooks point to growth for information security analysts, but they use different projection periods. They should be read separately, not merged or treated as forecasts of AI’s effect.
| Source and context | Projection | What it means |
|---|---|---|
| BLS analysis, July 2026; United States, 2024–2034 | 28.5% projected employment growth; 52,100 additional information security analyst jobs | An occupational projection, not an estimate of jobs created by AI. |
| BLS Occupational Outlook Handbook; United States, 2025–2035 | 21% projected growth; about 14,100 openings per year on average | A separate outlook window and estimate; annual openings are not the same as net new jobs. |
The global outlook is broader, and employer-based
The World Economic Forum’s Future of Jobs Report 2025 identifies information security analysts among faster-growing roles and networks and cybersecurity among skill areas employers expect to become more important through 2030. The report combines surveyed employer expectations with employment data; it is not a count of realized jobs or an AI-only forecast.
Across all the macrotrends covered in the report—not AI or cybersecurity alone—the WEF projects 170 million jobs created and 92 million displaced globally by 2030. Those figures concern the wider labor market and should not be used as cybersecurity job-loss or job-gain estimates.
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What the forecasts do—and do not—tell you about AI
Growing occupational projections can coexist with automation. Employment may expand even as particular tasks change, but these forecasts do not prove that AI creates more cybersecurity jobs than it removes. BLS projections cover occupations and broad economic drivers; WEF combines employer expectations with employment data; ISC2 reports practitioner experience and perceptions. None quantifies cybersecurity jobs already lost or created specifically because of AI, the tasks that will disappear from each role, or AI’s realized productivity effect.
ISC2’s December 4, 2025 release quotes Acting CEO and CFO Debra Taylor saying that “the most pressing concern for cybersecurity teams isn’t headcount but skills.” That is Taylor’s interpretation of the survey, rather than an independent causal finding. The underlying results support a focus on reported skill gaps, but do not establish that headcount will never matter.
How to adapt your cybersecurity skills
The evidence supports preparing for changing skill needs—not assuming a specific job outcome. Consider learning in areas that connect AI capability with core security work:
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- Security of AI systems: Build familiarity with the risks and safeguards involved in designing, deploying, and securing AI-enabled systems.
- Core cybersecurity judgment: Strengthen investigation, risk assessment, secure design, incident response, governance, and communication skills that help teams validate findings and act on them.
- Relevant technical foundations: ISC2 respondents cited cloud security as a major need, so consider how cloud security connects to your target roles and existing experience.
Choose a learning path by examining the work you want to do, employers’ requirements in your location and seniority range, and the skills you can demonstrate in practical work. Roles differ in how much they involve repeatable triage, hands-on engineering, investigation, governance, and communication; there is no evidence here for a universally “AI-proof” specialization. WEF’s global expectations can indicate direction, while BLS figures apply to the United States.
ISC2 reports that practitioners are pursuing AI-related learning, but neither its survey nor the forecasts promise that a course, credential, or individual skill will secure a job. Treat upskilling as a way to respond to evolving requirements, not as insurance against every labor-market change.
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