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How are industrial automation professionals practically integrating AI with traditional PLC systems today - are we talking about actual predictive maintenance algorithms running alongside ladder logic, or is this still mostly marketing hype?

JackHughes

JackHughes

2025-11-26

answer

Great question! This is definitely a hot topic in the automation world right now. From what I'm seeing, we're in an interesting transition phase where AI integration with PLCs is moving from marketing buzzwords to real-world implementations, but it's not quite as seamless as some vendors might suggest.

Here's what's actually happening on the ground:

• Predictive maintenance is real and working

- AI models are analyzing sensor data from PLCs to predict equipment failures before they happen. However, these typically run on separate edge devices or cloud platforms that communicate with the PLC, rather than directly inside the ladder logic itself.

• Hybrid architectures are emerging

- Some newer PLCs like the Arduino Opta have dual cores that can run AI components alongside traditional ladder logic. This is promising but still relatively new territory.

• Standards are evolving

- IEC initiatives are exploring AI function blocks that could eventually let you program predictive logic directly in familiar PLC programming environments.

The reality is that most current implementations involve AI running on separate hardware that feeds recommendations back to the PLC. True "AI-native" PLCs that seamlessly integrate machine learning with deterministic control are still emerging rather than mainstream.

So while there's definitely some marketing hype, the practical applications are growing rapidly. The key is understanding that today's solutions often involve layered architectures rather than AI replacing traditional PLC programming entirely.

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