The integration of artificial intelligence (AI) into application security (AppSec) is seen as a transformative step to reduce manual efforts and enhance vulnerability detection, with 90% of surveyed security leaders either using or considering AI for their programs. Despite significant adoption, especially in industries like High Tech, SaaS, and Healthcare, concerns persist about AI's reliability, as nearly half of the respondents report frequent false positives and limited oversight of AI results. This has led to a situation where a substantial portion of AppSec issues identified by AI are acted upon without human review, raising questions about risk tolerance and resource constraints. Regional differences in AI adoption are evident, with South America leading and North America trailing, potentially due to differences in talent availability. While AI integration into development pipelines is progressing, challenges such as integration complexity and lack of trust in AI outputs remain. Looking ahead, there is interest in improving AI's accuracy and capabilities, with many organizations exploring new use cases like AI-driven threat modeling and automated code review to enhance security efficiency.