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88 I-CONNECT007 MAGAZINE I SEPTEMBER 2026 can recognize when a process is drifting, investi- gate unusual results, interpret data, understand the relationship between one operation and the next, and determine when intervention can improve an outcome. Most importantly, people can question what is happening, understand the context, and determine what should happen next. That remains one of the most valuable capabilities in manufacturing. AI Finds Patterns While People Provide Context AI introduces another level of capability into au- tomation due to the extraordinary volume of in- formation generated in modern manufacturing environments. Consider the data that can accu- mulate across every area of the shop floor: plating thickness, chemistry, imaging, registration, lamina- tion, drilling, inspection, electrical testing, environ- mental conditions, equipment performance, ma- terial lots, product types, and final yields. Those relationships can be extraordinarily difficult for a person to identify on their own. AI and machine learning help manufacturers detect anomalies, rec- ognize developing process trends, support predic- tive maintenance, improve visual inspection, and identify correlations between process conditions and manufacturing outcomes. Human experience adds context to what the data reveals. For example, an experienced technician standing beside a piece of equipment may notice that a pump sounds slightly different or may recog- nize that a material is behaving differently than usual. An engineer may understand that an unusual result reflects a particular customer requirement. A veteran employee may remember encountering a similar condition years earlier and know where to begin looking for the cause. When AI can identify a pattern, experience can help explain what that pattern means, leading to powerful manufacturing decisions, and the conver- sation moves beyond AI toward augmented intel- ligence: technology that expands what people are able to see, understand, and act upon. The Technician's Role Is Evolving As technology changes the factory, so does work- force development. As machines perform more repetitive physical tasks, the people overseeing those systems can develop a deeper understand- ing of the processes surrounding them. The PCB technician of the future will increasingly understand the entire process surrounding an operation: what happens before, during, and after, which variables matter, what the data means, how quality is affect- ed, and when intervention is needed. Consider an automated plating operation. An employee overseeing that process can develop knowledge that extends from basic electrochem- istry and current density to solution control, plating distribution, material effects, equipment mainte- nance, process limits, statistical process control, defect recognition, upstream influences, down- stream consequences, and troubleshooting. In essence, your skilled operator who no longer needs to manually operate a line can become more like an engineer in how he or she views the process and analyzes data. Automation creates an opportunity to upskill employees and deepen the expertise present on the manufacturing floor. As PCB technology grows more sophisticated and manufacturing environ- ments become more interconnected, that knowl- edge becomes a valuable part of the manufac- turing system. Building a Continuous Learning System Manufacturers have long embraced continuous im- provement for equipment and processes. Applying that same philosophy to people creates an opportu- nity for training. Employees can expand their under- standing of processes, materials, quality, automa- tion, data, troubleshooting, maintenance, customer requirements, and adjacent operations. Cross-training is particularly valuable because manufacturing processes are deeply intercon- nected. A condition identified during drilling may have a relationship to an earlier process. A plating defect may reveal an upstream influence. An elec- trical failure discovered near the end of production may provide insight into something that occurred several processes earlier. Turning Experience Into Institutional Knowledge The PCB industry has an extraordinary amount of