Reproduce “Agentic AI in Product Management: A Co-Evolutionary Model” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Nishant A. Parikh
Nishant A. Parikh at Capitol Technology University developed a conceptual framework for integrating agentic AI into product management. The work proposes a co-evolutionary model that illustrates the dynamic, reciprocal relationship between human product managers and autonomous AI systems throughout the product lifecycle, aiming to guide organizations in effectively adopting these advanced technologies.
Key insights
- Agentic AI represents a transformative force that necessitates mutual adaptation between product managers and AI systems, evolving PM roles from process gatekeepers to orchestrators of intelligent ecosystems.
- The PM-AI Co-Evolutionary Model emphasizes mutual shaping, the orchestration of hybrid workflows, and the critical need for robust governance, accountability, and transparency in AI-integrated environments.
- Agentic AI enables a paradigm shift in decision-making, where AI agents can autonomously generate hypotheses and initiate changes, requiring product managers to focus on designing ethical frameworks and behavioral guardrails.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.