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Informing your decisions with actionable intelligence
Manufacturing has always run on precision, repetition, and scale. Those same qualities make it a natural fit for artificial intelligence. AI has always been discussed in manufacturing, but the conversation has shifted. Increasingly it is about speed and diffusion of AI in service to outcomes in manufacturing. The question now is how fast manufacturing firms 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.
Lockheed Martin | AAQ: 78 | AI-Accelerating | ML: 80 | GenAI: 82 | Agentic: 70
Caterpillar | AAQ: 76 | AI-Accelerating | ML: 82 | GenAI: 68 | Agentic: 78
John Deere | AAQ: 75 | AI-Accelerating | ML: 80 | GenAI: 65 | Agentic: 80
General Motors | AAQ: 72 | AI-Accelerating | ML: 75 | GenAI: 72 | Agentic: 68
Rockwell Automation | AAQ: 70 | AI-Accelerating | ML: 72 | GenAI: 75 | Agentic: 62
Ford Motor | AAQ: 68 | AI-Accelerating | ML: 72 | GenAI: 65 | Agentic: 65
Honeywell | AAQ: 67 | AI-Accelerating | ML: 70 | GenAI: 68 | Agentic: 62
RTX (Raytheon) | AAQ: 65 | AI-Accelerating | ML: 68 | GenAI: 62 | Agentic: 64
Northrop Grumman | AAQ: 58 | AI-Adopting | ML: 62 | GenAI: 55 | Agentic: 56
Boeing | AAQ: 55 | AI-Adopting | ML: 60 | GenAI: 50 | Agentic: 55
Emerson Electric | AAQ: 55 | AI-Adopting | ML: 58 | GenAI: 55 | Agentic: 50
General Dynamics | AAQ: 50 | AI-Adopting | ML: 55 | GenAI: 48 | Agentic: 45
Cummins | AAQ: 48 | AI-Adopting | ML: 55 | GenAI: 42 | Agentic: 45
Paccar | AAQ: 45 | AI-Adopting | ML: 50 | GenAI: 40 | Agentic: 44
3M | AAQ: 45 | AI-Adopting | ML: 52 | GenAI: 42 | Agentic: 38
Dow Inc. | AAQ: 43 | AI-Adopting | ML: 50 | GenAI: 40 | Agentic: 37
Parker Hannifin | AAQ: 40 | AI-Emerging | ML: 45 | GenAI: 38 | Agentic: 35
Illinois Tool Works | AAQ: 38 | AI-Emerging | ML: 42 | GenAI: 35 | Agentic: 35
Nucor | AAQ: 37 | AI-Emerging | ML: 42 | GenAI: 32 | Agentic: 35
Textron | AAQ: 35 | AI-Emerging | ML: 40 | GenAI: 30 | Agentic: 33
About the Author
Bob Gourley is an experienced Chief Technology Officer (CTO), Board Qualified Technical Executive (QTE), author and entrepreneur with extensive past performance in enterprise IT, corporate cybersecurity and data analytics. CTO of OODA LLC, a unique team of international experts which provide board advisory and cybersecurity consulting services. OODA publishes OODALoop.com. Bob has been an advisor to dozens of successful high tech startups and has conducted enterprise cybersecurity assessments for businesses in multiple sectors of the economy. He was a career Naval Intelligence Officer and is the former CTO of the Defense Intelligence Agency.
Informing your decisions with actionable intelligence
Informing your decisions with actionable intelligence