<p>AI has a significant impact on the evolution of web development and technologies, digital applications, and other applications. This study explores the integration of AI into web technologies, highlighting its contribution to interactivity, accessibility, personalization, and security. The use of AI in speech recognition, natural language processing, image processing, and reasoning can enhance user engagement through tools like voice navigation, chatbots, visual search tools, and intelligent recognition systems. Additionally, initiatives like Microsoft Airband, which deploys AI-powered network planning to expand broadband access, showcase how integrating AI in web applications and other services can boost digital equity, market growth, access to users, and broaden opportunities for innovation. However, these advancements also raise significant concerns around ethical standards, regulatory concerns, biases, accountability ty and user privacy, which must be addressed effectively. To address these challenges, the study evaluates the significance of the framework NIST AI RMF to emphasize management, risk mapping, and governance to meet all regulatory guidelines and safeguard trustworthiness. By tracing the evolution of the web from Web 1.0 to 4.0, the review identifies AI as central to the future web trends when humans and machines co-exist and create in an intelligent and immersive ecosystem. The findings in this study underscore the dual impacts of AI as a driver for web development innovation and a potential source of risk. Therefore, calling for balanced polices and an approach to implementation.</p>