Core Viewpoint - The article emphasizes the significant impact of artificial intelligence (AI), particularly generative AI, on various industries and the increasing demand for AI-related content and research. Springer Nature is actively embracing these trends by publishing insightful research and developing AI tools and services to enhance academic and industrial collaboration [1]. Group 1: AI Resources and Services - Springer Nature is set to launch a new collection of AI books in 2025, covering topics from machine learning algorithms to neural network research impacting healthcare. This collection aims to provide a comprehensive resource for researchers, educators, and professionals [2]. - The AI book collection includes diverse resources such as monographs, conference proceedings, textbooks, and manuals, catering to different levels of readers and facilitating a deeper understanding of the rapidly evolving AI field [2]. Group 2: Core Research Areas - The AI book collection focuses on core research areas, including machine learning, deep learning, natural language processing, computer vision, and AI ethics, among others [3]. Group 3: AI-Driven Services - Springer Nature offers AI-driven services, including text and data mining (TDM) tools that help researchers extract valuable information from large datasets, enhancing their ability to discover patterns that traditional analysis may miss [46]. - The Methods Muse platform simplifies experimental design and optimization for life sciences research, integrating with protocols.io to streamline the research process [50]. - Nature Research Intelligence provides data-driven insights to help academic, governmental, and corporate researchers make informed decisions, track research trends, and enhance their academic impact [53][55].