Building the Workforce of Tomorrow: Training and Development in the Age of Automation

Introducing automation doesn’t mean having to replacing people, but it does mean a shift in workforce training.

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Bryan Griffen is the President of Griffen Executive Solutions LLC. He was previously é during his many years there.


The modern food and beverage manufacturing environment is changing—fast. As automation becomes increasingly central to production efficiency, quality assurance, and operational flexibility, the skill requirements for today’s workforce are evolving just as quickly. Nowhere is this more evident than on the production floor, where line operators and maintenance personnel are navigating a shift from manual, repetitive tasks to technology-enabled, value-added roles.

This transformation doesn’t signal the disappearance of the human workforce—it marks a new chapter in how people and machines collaborate. Automation isn’t replacing people; it’s freeing them. But for companies to realize the full benefits of this evolution, they must commit to one essential principle: continuous training and upskilling.

This article concludes our six-part series on workforce strategy in food manufacturing. In previous columns, we explored recruiting and retention, the skills gap, and knowledge transfer. In this final installment, we turn our attention to preparing operations teams for the automated future—and why investing in people is just as critical as investing in technology.

The automation shift: what it means for operations teams

For decades, the focus of many frontline manufacturing roles was hands-on and repetitive. Manual changeovers, mechanical adjustments, and trial-and-error troubleshooting were daily realities. While foundational mechanical skills are still important, today’s most successful maintenance teams and production operators are those who can work seamlessly with connected equipment, digital diagnostics, and intelligent automation.

The skills required in this new landscape are broader and deeper. Operators must now understand how to interface with modern HMIs, interpret sensor data, and respond to system feedback. Maintenance techs are expected to navigate PLCs, smart devices, and networked systems—skills once reserved for engineers. The age of automation demands a workforce that blends mechanical intuition with technical fluency.

This shift is not theoretical—it’s happening now. One powerful example comes from my own experience at Nestlé. We had a cooking and extrusion process that proved too complex for basic automation to handle reliably. Operators, through constant attention and manual tweaks, managed to keep it running relatively smoothly. Recognizing the inefficiency, I helped design an AI-based system, augmented by new sensors, to learn and mimic the operators’ decision-making patterns. Within a month of deployment and training, the system was running the process independently, freeing operators to focus on broader system optimization and boosting overall plant efficiency. That’s the kind of transformation we’re talking about—where smart automation multiplies human impact rather than diminishing it.

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