With the rapid advancement of AI technologies, cyber attackers are now leveraging machine learning and generative models to launch sophisticated, adaptive, and highly targeted attacks. These AI-driven threats can exploit browser vulnerabilities, bypass traditional detection systems, and even mimic human behavior to avoid suspicion. As browsers remain the primary interface between users and the internet, the question arises: are current browser architectures and security protocols robust enough to detect and counter these evolving threats? Or are we underestimating the speed at which AI can outmaneuver conventional browser defenses? This opens a critical discussion about the need to rethink browser security from an AI-resilience perspective.