AI isn’t solving cybersecurity workforce woes
Summary
A new report by the Information Systems Security Association (ISSA) and Omdia, based on interviews with 380 IT and cybersecurity professionals in January and February 2026, reveals that AI is not alleviating the cybersecurity workforce crisis. Over half of cybersecurity professionals are considering leaving the industry, with 20% thinking about it regularly. Despite the adoption of AI for tasks like penetration testing and threat detection by over 80% of organizations, nearly seven in 10 cyber workers report their jobs have become more difficult in the past two years. A quarter of companies increased AI spending without clear integration strategies. High stress (53%), lack of career advancement (37%), and poor work-life balance (34%) are primary drivers of burnout, exacerbating an existing skills gap that affects three-quarters of organizations.
Key takeaway
For CTOs and IT leaders evaluating AI investments for cybersecurity, recognize that AI tools alone will not resolve workforce shortages or burnout. Your strategy must prioritize defining clear AI integration plans and investing in comprehensive workforce training, resource allocation, and governance improvements. Failing to address these foundational issues risks exacerbating existing skills gaps and increasing professional demoralization, despite significant AI spending.
Key insights
The report indicates AI is not solving the cybersecurity workforce crisis, with burnout and skills gaps persisting despite AI adoption.
Principles
- AI tools alone cannot replace skilled cyber professionals.
- Unplanned AI spending offers limited workforce benefit.
- Strong cybersecurity culture requires training and investment.
In practice
- Define AI integration strategies before spending.
- Invest in workforce training and resources.
- Improve governance for cybersecurity programs.
Topics
- Cybersecurity Workforce
- AI in Cybersecurity
- Skills Gap
- Employee Burnout
- ISSA Omdia Report
- IT Leadership
Best for: VP of Engineering/Data, Director of AI/ML, Executive, CTO, IT Professional, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by Information and Enterprise Technology News | CIO Dive - Www.ciodive.com.