A growing number of leading manufacturers, logistics operators, and energy players have begun using agentic AI, and many are seeing tangible, quantifiable impacts.
Manufacturers have reported improved defect-detection rates thanks to automated visual-anomaly detection systems. Logistics operations have increased in efficiency through autonomous routing and scheduling, in some cases leading to a more than 20 percent drop in inventory and logistic costs, according to McKinsey research.
And transactional cycle times have been reduced from days to hours or even minutes with intelligent workflow agents, such as those used in documentation efforts.
These early successes illustrate the transformative potential of agentic AI, which is projected to deliver significant financial and operational benefits across industries.
According to McKinsey research, agentic AI has the potential to generate $450 billion to $650 billion in additional annual revenue by 2030, representing a 5 to 10 percent revenue uplift in advanced industries, such as automotive. At the same time, cost savings could range from 30 to 50 percent, driven by automation of repetitive tasks and streamlined operations
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