Cybersecurity in 2026 will face significant shifts as organizations struggle to keep up with increasingly sophisticated attacks. Chief Information Security Officers (CISOs) will find it impossible to scale human teams to match the relentless pace of threats. As a result, asset management, attack surface management, and vulnerability management will become competitive races. The challenge lies in finding and vetting qualified security personnel, which is cumbersome and costly. Hiring AI agents to handle security tasks may become an appealing alternative, even though these agents won't reach the effectiveness of seasoned professionals for a few years. The current incentive structures in many companies prioritize feature development over security. Developers often focus on what earns them promotions, neglecting security despite training efforts. AI, however, can be programmed to prioritize security, managing multiple tasks simultaneously. This capability is vital as attackers improve their own asset management skills, making it essential for companies to enhance their defenses quickly. The rapid deployment of agents could lead to an overwhelming amount of changes that need monitoring, creating a potential audit nightmare. While AI can increase transparency, it can also complicate accountability. Moreover, the industry will see a shift in the value of security certifications and degrees. As pressure mounts from management and attackers, organizations will favor immediate, experienced candidates over new graduates. This trend risks diminishing the talent pipeline, as fewer entry-level positions will be available to train the next generation of security professionals. The emphasis will shift to candidates who can immediately contribute and utilize AI effectively, raising concerns about the future of skill development in the field.