Challenges of integrating AI into existing technology infrastructures primarily stem from issues related to compatibility, data quality, and team skillset. Legacy systems may not readily accommodate advanced AI solutions, leading to integration difficulties. Additionally, data used for AI training must be high-quality and relevant; poor data can yield inaccurate results. Furthermore, organizations often face a skills gap, lacking personnel with the adequate expertise to effectively implement and manage AI technologies. These challenges require careful planning and investment in resources to ensure successful integration.