Hey there! That's a fantastic question that's on the minds of many automation professionals right now. As someone working in industrial automation, I'm definitely feeling this shift firsthand. Let me break down what's changing as PLCs become smarter edge devices with AI capabilities.

First, the skills that are becoming less critical: Traditional ladder logic programming alone won't cut it anymore. The days of just wiring up relays and basic sequential control are fading. Manual troubleshooting methods and purely reactive maintenance approaches are becoming obsolete. Also, isolated system knowledge - where you only understood your specific PLC or HMI - is being replaced by integrated system thinking.

Now for the exciting new competencies you'll need: You'll have to become proficient in AI and machine learning basics - understanding how to implement and maintain AI algorithms locally on edge devices. Data analytics skills are crucial since these smart PLCs generate tons of data that needs interpretation. Cybersecurity expertise is non-negotiable as connected systems create more vulnerability points.

You'll also need cloud-edge integration knowledge to manage how local processing interacts with cloud systems. Industrial IoT architecture understanding is essential for designing connected systems. Software development skills, particularly in Python and modern programming languages, are becoming as important as traditional PLC programming. Finally, predictive maintenance capabilities using AI-driven insights will be a game-changer.

The good news? This transformation creates exciting opportunities for automation engineers to become more valuable than ever. It's about evolving from a controls specialist to a smart systems architect who understands both the physical automation world and the digital intelligence layer. The future belongs to those who can bridge these two worlds!