Agentic AI in Manufacturing Demands Enterprise Foundation
Agentic AI will generate $450-650 billion annually in manufacturing value by 2030, but 80% of AI projects fail due to inadequate enterprise foundations rather than technology limitations. Unlike traditional reactive AI systems, agentic systems autonomously reason, plan, and execute complex decisions over extended periods without human intervention. Success requires evolved ERP/MES/PLM systems, real-time data mesh architectures, and comprehensive organizational transformation following the proven 10-20-70 implementation rule: 10% algorithms, 20% technology and data infrastructure, 70% people and organizational processes. Early adopters achieve 95% defect reduction and 99.5% operational uptime rates. Enterprise foundation maturity, not vendor selection, ultimately determines long-term competitive outcomes.