This audio is auto-generated. Please let us know if you have feedback.
After decades of experimenting with robots, predictive analysis and machine learning models, manufacturers across the United States are now exploring new tools that make it possible for certain operations to run with minimal or no human intervention.
Agentic artificial intelligence systems don’t just analyze data and answer questions. Once set up, they’re capable of autonomously planning, reasoning and coordinating actions across software systems to execute workflows.
For example, earlier AI models might flag that a machine is likely to fail. An agentic AI system could automatically identify the problem, schedule maintenance, order replacement parts, update production schedules, notify supervisors and document the entire process.
Recent surveys show that the manufacturing industry’s AI foundation is already being built. According to Deloitte's 2025 Future of Manufacturing report, 87% of manufacturers surveyed had already launched at least one generative AI pilot. This move allows them to grow from basic use cases like troubleshooting to establishing self-optimizing, self-healing environments with agentic AI.
