The Infrastructure Decisions That Determine If Physical AI Succeeds

Nearly 46% of AI proofs of concept are scrapped before reaching production. For physical AI, the reason is rarely the hardware. It is the compute architecture, system integration, simulation capability, and data governance decisions that were never made before the robot arrived. This guide walks through the eight-dimension Physical AI Readiness Index, deployment cases from Toyota, AES Corporation, and Krones, and the governance questions most enterprises have not yet asked about their own operational data. Download the guide to find your organization’s binding constraint and the 90-day priority that follows from it.