Purpose Recognizing the transformative potential of artificial intelligence (AI) to enhance human resource management (HRM) research as well as the rapid evolution of AI, the manuscript adopts the technology-as-designed paradigm to discuss how AI can augment each critical step in the research lifecycle: ideation, literature reviews, study material design, data collection, analysis, reporting and dissemination. Design/methodology/approach A conceptual review was the method of study. Findings AI holds immense potential for researchers to improve both the efficiency and effectiveness of their research. Yet, there are also risks to consider and manage. Research limitations/implications This article does not catalog all AI tools available to researchers. Effective and ethical use requires ongoing human oversight. Following the technology-as-designed paradigm, the manuscript describes various AI tools and how, when and why to use them for different tasks in the research process. This approach allows for the enduring relevance of specific design features even as AI tools continue to evolve. Practical implications The article is a practical guide for researchers considering (or already using) AI to assist in research tasks. Many AI tools relevant to researchers are also relevant to practitioners and vice versa. Social implications AI may help democratize research by lowering technical barriers and expanding access to advanced methods. However, this potential depends on equitable access and responsible, ethical use. Originality/value AI is often discussed in terms of its application within HR practice (e.g. automating recruitment or enhancing employee engagement), yet its potential to augment the research process itself remains underexplored. This editorial outlines how AI can be thoughtfully and creatively integrated into each stage of the HRM research lifecycle, offering practical guidance and illustrative examples.
Bradley-Geist et al. (Tue,) studied this question.