PC Slower Than It Used to Be?
A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Crashes, No Sound, or Screen Glitches?
Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteiTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
AI is changing cybersecurity tasks and the skills employers need, but current evidence does not show that it is eliminating cybersecurity jobs overall. Tools can assist with repetitive monitoring and investigation; that is not the same as replacing an occupation. U.S. and global outlooks point to growth in cybersecurity roles, but neither establishes how many jobs AI itself will create or displace.
Will AI replace cybersecurity jobs?
There is no sound basis for saying that AI will replace cybersecurity professionals as a group. The more defensible conclusion is narrower: AI can help automate parts of some workflows, while practitioners report growing demand for AI-related skills and other cybersecurity capabilities. A task may change or take less time without the entire role disappearing.
That distinction matters because the available figures measure different things. A practitioner survey describes reported experiences and expectations; employment projections estimate occupational growth; neither isolates AI’s net effect on cybersecurity hiring. Some tasks and roles may still be affected, and the evidence does not show that every cybersecurity job is secure.
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 results capture respondents’ views and experiences, not a census of the workforce or a causal forecast of employment.
AI adoption is moving beyond evaluation for some teams
ISC2 reports that 28% of respondents had integrated AI tools into operations, 19% were actively testing them, and 22% were in early evaluation. Combined, 69% were engaged in some stage of adoption. These figures describe adoption stages; they do not prove that tools worked as intended, improved security, or saved jobs.
ISC2 says AI tools have the potential to assist with time-intensive work such as monitoring network traffic, identifying anomalies and flagging suspicious behavior. That describes possible support for specific tasks, not evidence that organizations have successfully automated them everywhere or removed the people responsible for security decisions.
Skill needs remain a central concern
In the same study, 95% of respondents reported at least one skills need, and 59% described those needs as critical or significant. Nearly nine in ten said their organization had experienced at least one significant cybersecurity consequence associated with skills shortages. These are survey responses, not independently measured incident rates.
Do these 3 things before closing this tab:
1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteAI was the most commonly cited skills need, 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 cybersecurity mindsets, and 66% expected broader skillsets. Those percentages report respondents’ beliefs, not measured future hiring.
Rank #3
Debra Taylor, ISC2’s acting CEO and CFO, said the study made clear that “the most pressing concern for cybersecurity teams isn’t headcount but skills.” That is Taylor’s interpretation of the survey. It should not be read as an independent finding that AI has no employment effect.
What employment projections do—and do not—say
U.S. outlook: information security analyst projections
The U.S. Bureau of Labor Statistics (BLS) projects 28.5% growth in information security analyst employment from 2024 to 2034, equivalent to 52,100 additional jobs. This is a U.S. occupational projection, not an estimate of jobs created by AI. In a separate outlook period, the BLS Occupational Outlook Handbook projects 21% growth from 2025 to 2035 and about 14,100 openings per year on average. These are distinct projections and should not be combined.
See the BLS analysis for 2024–2034 and the Occupational Outlook Handbook entry for information security analysts for their respective periods and definitions.
Quick wins for a faster PC:
Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →Global outlook: employer expectations through 2030
The World Economic Forum’s 2025 Future of Jobs report identifies information security analysts among faster-growing roles and networks and cybersecurity among skills employers expect to become more important through 2030. The report combines employer expectations with employment data; it is a directional global outlook, not a tally of realized jobs or an AI-only forecast.
Best Value
Across all the macrotrends it analyzes, the WEF estimates 170 million jobs created and 92 million displaced globally by 2030. Those figures cover the wider economy and cannot be attributed to AI or cybersecurity alone. The report’s jobs outlook chapter provides the broader context.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why these numbers cannot settle AI’s net job impact
The ISC2 survey, BLS projections and WEF outlook answer different questions. ISC2 reports what cybersecurity practitioners say about skills and tool adoption. The BLS projects employment in a defined U.S. occupation across broad economic drivers. The WEF describes employers’ global expectations across multiple trends. None measures how many cybersecurity jobs AI has already displaced or created, or calculates AI’s net causal effect on the occupation.
So positive employment projections are not proof that AI creates more cybersecurity jobs than it removes. Nor does task automation prove that the occupation is disappearing. The evidence supports a changing job, with continued projected demand, while leaving the scale and distribution of AI’s employment effects unresolved.
How to adapt your cybersecurity skills
For a worker or job seeker, the evidence supports building skills that help you work with AI and secure the systems that use it, while continuing to develop core security judgment. It does not establish that a particular course, certification or specialization guarantees employment.
- Learn AI fundamentals. Understand what AI tools can and cannot do, how to assess their outputs, and where human verification is necessary.
- Study security for AI systems. Build familiarity with the security risks and controls involved in designing, deploying and governing AI systems.
- Strengthen core cybersecurity practice. Develop the ability to investigate incidents, assess risk, design secure systems and communicate findings. These capabilities remain relevant when tools assist with analysis.
- Build complementary technical depth. Cloud security is a prominent reported skills need alongside AI, according to ISC2. Evaluate it in light of your interests and the roles available in your region.
- Choose a role by its actual work. Compare how much a position involves repeatable triage versus judgment and accountability; whether it focuses on hands-on engineering, investigation, governance or communication; and what employers in your location and career stage request.
These are practical areas to consider, not a ranking of “AI-proof” careers. Demand and requirements vary by geography, seniority and employer.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
