AI writing tools are transforming how researchers prepare manuscripts for publication, offering sophisticated guidance on argument structure, logical flow, and alignment with journal standards. This shift has sparked debate over appropriate AI use and disclosure in academic writing. One promising outcome is that as AI lowers the barriers to high-quality editing and writing support, researchers may have less reason to submit their work to predatory journals—publications that charge fees for publication without conducting proper peer review or quality control. With AI systems capable of refining language, strengthening arguments, and ensuring adherence to formatting and stylistic guidelines, researchers—especially those in early-career stages or from institutions with limited editorial resources—can produce polished manuscripts without relying on paid services or questionable outlets. This democratization of writing support could reduce the appeal of predatory journals, which often target researchers under pressure to publish by promising fast, no-questions-asked publication. Moreover, as AI tools become more integrated into the research workflow, they may also help authors identify reputable journals that match their work’s scope and quality standards. This could further discourage submissions to low-quality or deceptive publishers. However, the ethical use of AI in academic writing remains critical. Transparency about AI assistance is essential to maintain trust and integrity in scholarly communication. Journals and institutions must continue developing clear policies on AI use, ensuring that human judgment and originality remain central to the research process. Ultimately, while AI tools are not a cure-all, they hold significant potential to improve the quality of research output and reduce reliance on predatory publishing practices. When used responsibly, they can empower researchers to meet high academic standards independently—making the scholarly publishing landscape more equitable and credible.