According to MIT researchers, agentic AI systems require robust data foundations to function effectively, with inadequate data infrastructure representing a critical failure point for these technologies. The research suggests that organizations implementing autonomous AI agents must prioritize data quality and governance as foundational requirements before deploying such systems at scale.