In this broadcast from AWS re:Invent, Clint Sharp, co-founder and chief executive officer of Cribl, joins theCUBE’s John Furrier to discuss the infrastructure realities facing the enterprise transition to agentic AI. Sharp highlights a critical disconnect between executive ambition and procurement reality, noting that while CEOs are pushing for AI adoption, legal and compliance teams remain hesitant due to risk. The conversation centers on the massive data implications of autonomous agents, which generate exponentially more queries and logging "exhaust" than human analysts. Sharp explains the looming ROI mismatch where the efficiency gains of AI agents could be negated if the underlying logging infrastructure costs quintuple to accommodate the increased transactional volume. The discussion delves into how Cribl is addressing these challenges through the Cribl Lakehouse, bringing cloud data warehouse capabilities to telemetry data. Sharp details the necessity of moving from unstructured data "soup" to structured, agent-ready schemas via automated data preparation and parsing. He outlines the benefits of a federated approach that offers a single lens on data without the cost of centralization, allowing enterprises to manage data gravity effectively. Additionally, Sharp shares significant business milestones, including 50% year-over-year growth and surpassing $200 million in ARR, underscoring Cribl's expanding footprint within the Fortune 100 as companies prepare their data pipelines for an agentic future.