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Cybersecurity jobs remain hard to fill because organizations report gaps in both staffing and specific skills—not because the available evidence proves AI attacks alone created today’s vacancies. AI sharpens the challenge from two directions: organizations worry about adversaries using generative AI, while also needing people who can assess and secure their own AI deployments.
What do “unfilled cybersecurity jobs” figures actually measure?
The phrase can refer to three different things: job advertisements, employers’ reports that they lack staff, or an estimate of the difference between a workforce organizations say they need and the number of professionals available. Those measures answer different questions. The 2025 findings from the World Economic Forum (WEF) and ISC2 primarily describe surveyed organizations’ capacity and skills needs; they are not a count of current job postings.
That distinction matters when interpreting the figures:
- WEF, 2025: Two-thirds of surveyed organizations reported moderate-to-critical cybersecurity skills gaps, an 8% increase in the reported gap from 2024. Only 14% said they had the people and skills needed. These are organizational survey responses, not vacant-position totals.
- Public sector, WEF 2025: 49% of public-sector organizations said they lacked the workforce to meet their cybersecurity objectives. This measures perceived capacity to meet objectives, not the number of open public-sector roles.
- ISC2, 2024: ISC2 estimated a workforce gap of 4,763,963. Its methodology defined that gap as the difference between participants’ reported cybersecurity staffing requirements and the number of active cybersecurity professionals. It was not a live job-board count.
ISC2 did not publish a comparable aggregate gap estimate in its 2025 workforce study. Its omission does not establish that staffing shortages have disappeared; the newer study instead highlights skills respondents need. The evidence here does not establish a 2026 U.S. openings count by role or region.
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How is AI changing the cybersecurity workforce problem?
AI adds pressure, but the evidence supports a change in security demands—not a claim that AI independently caused a specific number of attacks, layoffs, or vacancies. WEF’s 2025 findings show organizations anticipating significant AI effects while also reporting concern about adversarial uses and limited processes for reviewing AI tools before deployment.
Organizations are preparing for AI-enabled threats
Nearly 47% of organizations in the WEF 2025 findings cited adversarial advances powered by generative AI as a primary concern. That is a measure of concern, not a measured increase in attacks or proof that any particular attack was AI-generated.
AI deployment creates security work of its own
In the same WEF findings, 66% expected AI to have a major impact on cybersecurity in 2025, while 37% reported having processes to assess AI tools before deployment. The contrast points to a practical challenge: organizations may expect AI to affect their security operations without yet having mature review processes for the tools they adopt.
That work adds to existing cybersecurity responsibilities. It does not mean every organization needs a new job title; depending on its needs, the work may require added expertise, training, or clearer ownership within an existing team.
AI can assist a team, but it does not replace the need for one
The WEF’s Global Cybersecurity Outlook 2025 says: “While AI will not replace the cybersecurity workforce, it will be a complementary capability.” In other words, AI and automation may help professionals address parts of the workload, but organizations still need people with the skills and authority to assess risks and make decisions.
Which cybersecurity skills are employers emphasizing?
ISC2’s 2025 workforce study surveyed 16,029 cybersecurity practitioners and decision-makers. Among respondents, 41% named AI as a pressing skills need and 36% named cloud security. These figures describe reported priorities in that study; they are not the share of job listings requiring those skills, nor do they establish that every employer has the same needs.
The findings also show why a single headcount figure can be an incomplete guide. An organization can have vacancies and still be concerned about a particular capability, or have a team in place that needs new expertise as its technology changes. Staffing constraints and skills gaps can coexist.
What can employers do about cybersecurity hiring gaps?
The WEF Strategic Cybersecurity Talent Framework organizes workforce responses into four areas. They are complementary options, not interventions proven by these reports to close a shortage on their own.
Attract people into cybersecurity
Make the work and entry routes visible to people who may not already see cybersecurity as a career. This addresses the pipeline, but attracting interest by itself does not equip candidates for a specific role.
Educate and train professionals
Build skills through education and training, including development for people already working in security or adjacent roles. Training can help meet needs such as AI or cloud security, while employers still need to decide which capabilities their teams actually require.
Recruit for capability, not only familiar career paths
Recruitment is a separate lever from training: it concerns how employers identify and select people who can do the work. A broader search for relevant experience can expand the candidate pool, but these sources do not compare recruiting methods or show which one fills roles fastest.
Retain existing professionals
Keeping experienced staff helps preserve organizational knowledge and avoids relying solely on new hiring to maintain capability. Retention is part of the WEF framework; the cited findings do not quantify how much any retention measure reduces vacancies.
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The useful planning question is therefore not only “How many people are missing?” It is also “Which capability is missing, how soon is it needed, and can the organization build it, recruit it, or retain it?” The evidence identifies the response categories and skills priorities, but does not provide a controlled comparison of their effectiveness.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Does AI mean cybersecurity jobs are becoming impossible to fill?
No. The evidence points to a substantial reported skills gap and new or more urgent capability needs, not proof that every role is unfillable or that AI has made the labor shortage inevitable. AI can increase the range of security work and help teams automate some tasks, while people remain necessary to evaluate risk and direct a security response. The strongest conclusion is that employers need a workforce strategy that joins hiring with training and retention, rather than treating AI as a substitute for cybersecurity professionals.
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