This paper proposes a conceptual framework that integrates artificial intelligence (AI) with 3D printing to advance architectural component design, leveraging the rapid expansion of generative design tools in architecture post-2020. The convergence of AI and additive manufacturing enables the creation of complex, optimized, and customizable architectural elements that address contemporary demands for innovation, sustainability, and efficiency in the built environment. The framework outlines key mechanisms by which AI enhances design exploration, fabrication adaptability, and performance optimization in architectural 3D printing. At the core of the framework is the utilization of AI-driven generative design algorithms including machine learning, evolutionary computation, and neural networks that facilitate the automated generation of diverse architectural forms. These algorithms optimize multiple design criteria simultaneously, such as structural integrity, material usage, aesthetic appeal, and environmental responsiveness. By navigating vast design spaces, AI tools empower architects and engineers to develop components tailored to unique project requirements and constraints. The framework also highlights the integration of AI with real-time 3D printing process control, enabling adaptive fabrication through sensor feedback and predictive analytics. This integration supports dynamic adjustments to printing parameters, improving accuracy, reducing material waste, and enhancing build quality. Furthermore, the model emphasizes seamless interoperability between AI design platforms and 3D printing hardware, promoting efficient workflow automation and collaborative design-fabrication cycles. Attention is given to the potential of AI-enhanced 3D printing to produce functionally graded and architecturally complex components that transcend traditional construction limitations. The approach fosters innovation in architectural aesthetics, structural performance, and sustainable building practices, while accelerating project timelines and reducing costs. This review synthesizes current advances in AI and additive manufacturing, providing a roadmap for future research and application in architectural fabrication. The proposed conceptual framework serves as a foundational guide for leveraging intelligent technologies to transform architectural design and construction, enabling smarter, more efficient, and more creative solutions in the evolving landscape of digital fabrication.