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arXiv · 2604.00189

Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways from Practitioners

Ruoyu Su·Matteo Esposito·Roberta Capuano·Rafiullah Omar·June Sallou·Henry Muccini·Davide Taibi
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Abstract

To support practitioners in understanding how agentic systems are designed in real-world industrial practice, we present a review of practitioner conference talks on AI agents. We analyzed 138 recorded talks to examine how companies adopt agent-based architectures (Objective 1), identify recurring architectural strategies and patterns (Objective 2), and analyze application domains and technologies used to implement and operate LLM-driven agentic systems (Objective 3).

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Ruoyu Su, Matteo Esposito, Roberta Capuano, Rafiullah Omar, June Sallou, Henry Muccini, Davide Taibi. 2026-03-31. Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways from Practitioners. https://arxiv.org/abs/2604.00189

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