Manufacturing has always run on precision, repetition, and scale. Those same qualities make it a natural fit for artificial intelligence. But the conversation about AI in manufacturing has shifted from whether factories should adopt machine learning or computer vision. The question now is how fast they can leverage the full spectrum of AI capabilities, and what happens to the companies that wait.

This report leverages OODA’s rubric for assessing AI adoption in companies, the Artificial Intelligence Acceleration Quotient (AAQ) to evaluate the manufacturing sector overall and 20 of the largest companies in the sector by their readiness to leverage AI.

The report examines the current state of AI adoption across the manufacturing sector, identifies the use cases generating real returns, and flags the risks that executives and policymakers need to take seriously. The analysis draws on publicly available data, vendor disclosures, and insights from the OODA Network.