<p>Dental implant surgery is becoming increasingly revolutionized through robotics, artificial intelligence (AI), and computer vision (CV), to the extent of challenging the limits of accuracy, efficiency, and customization. The presented review summarizes the recent advances in implant placement with the help of robots and AI-based surgical planning and critically examines their influence on clinical accuracy, the outcome of the procedure and the innovative technology frameworks. We look into such critical systems as optics-based guidance of navigation, haptic-feedback robotic platform, and AI-based diagnosis, which are all demonstrating remarkable outcomes with regards to angular, coronal, and apical offenses mitigation besides making operations more efficient. State-of-the-art innovations - consider machine vision-assisted planning, real-time feedback in the operating room, and patient-specific implant placement with predictive modeling through convolutional neural networks - are making the precise positioning of implants per case possible with more accuracy than ever before. In comparing the data, robotic-assisted methods will always show better results compared to the traditional free hand methods that will have tight tolerances, fewer complications, and more reproducible outcomes. Nevertheless, the barriers to mass usage still exist such as the cost expenses involved, the steep learning curve among clinicians, and the strictness of AI algorithm validation. In the future, we believe that innovations in this direction will involve the development of more technologies combining augmented reality, making machine learning models more explainable, and conducting large-scale clinical trials to cement the viability of these technologies. Combined, robotics, AI, and CV are leading to a paradigm shift in implant dentistry, which makes surgical intervention more anatomically customized, safer, and faster.</p>