AIP Publishing leaders Melissa Patterson and Marc Segers discuss how artificial intelligence (AI) is changing scholarly publishing, focusing on evolving policies and researcher benefits. Patterson states that transparency, access, fairness, and sustainability are core to a researcher-centered publishing strategy, supporting how research is shared, preserved, evaluated, and trusted. Segers notes the organization tracks pressures shaping the publishing journey to refine tools, policies, and platforms. Practical benefits for researchers include clearer submission guidance, more transparent editorial and peer review processes, and updated policies to keep research discoverable and credible. While AI can streamline workflows, human expertise will continue to oversee research integrity practices. Authors are excited about AI tools but have concerns about reliability and integrity, seeking clear guidance from publishers. AIPP is exploring responsible AI uses that improve discoverability, strengthen integrity, and reduce administrative burdens without replacing human editorial judgment. AI-powered discovery tools are becoming common in literature searches, making accurate attribution increasingly important. Segers, working on content discovery and licensing projects, emphasizes making research outputs more discoverable while protecting attribution. He notes readers may type questions into tools like ChatGPT, Perplexity AI, or other platforms and receive instant answers, and the goal is to preserve authors' recognition as part of that answer.