While Artificial Intelligence and Machine Learning drive efficiency and innovation, challenges persist. Poor data quality, limited skilled talent, high infrastructure costs, and ethical risks like bias or privacy breaches slow adoption. Firms that invest in governance, workforce training, and robust data practices overcome these hurdles, unlocking more reliable and impactful outcomes.