Title: AI-Driven Web 4.0: Toward an Intelligent Internet
Authors: Karima Akter, Taspia Tabassum Ali, Mohammad Nasar
Volume: 9
Issue: 11
Pages: 1-7
Publication Date: 2025/11/28
Abstract:
Web 4.0 represents the next evolutionary shift of the Internet, moving from a data-driven and decentralized ecosystem toward an intelligent, autonomous, and context-aware digital environment. Artificial Intelligence (AI) forms the cognitive core of this transition by enabling adaptive decision-making, semantic reasoning, and autonomous interactions among users, devices, and decentralized services. The convergence of AI with blockchain, edge computing, and the Internet of Things (IoT) enhances trust, transparency, low-latency analytics, and real-time automation across sectors such as education, healthcare, supply chain management, and immersive virtual environments. This paper examines the theoretical foundations, enabling technologies, and emerging applications of AI-driven Web 4.0, while also addressing associated ethical, governance, and privacy challenges. The study proposes a conceptual model that positions AI as the central intelligence layer responsible for autonomy, learning, and secure collaboration within Web 4.0 ecosystems.