In this episode, we take a practical look at AIoT-driven autonomous systems in manufacturing and separate real progress from wishful thinking. The idea sounds simple: combine AI with connected machines so systems can make decisions on their own. But the reality is more nuanced. We explore where autonomy already works well, such as anomaly detection, adaptive process adjustments, and automated responses to known conditions. At the same time, we talk about the limits — messy data, changing production contexts, and the ongoing need for human judgment. It’s a grounded conversation about how autonomy grows step by step in industrial environments, not through big leaps but through careful improvements built on reliable data and clear process understanding. For deeper reading and more real-world insights, visit iiotblog.com.