That's a really insightful question! Based on what I'm seeing in the industry, here's what's happening:

For PLCs making autonomous decisions, we're already seeing the early stages right now in 2024. Companies like Siemens are integrating AI directly into PLC systems, and we're moving toward what's called "agentic AI" - systems that can make autonomous decisions, learn continuously, and adapt their behavior. The realistic timeline looks like this:

• 2024-2025: Early adoption phase where AI assists with decision-making but humans still have final approval

• 2025-2030: Widespread implementation of AI-powered PLCs that can handle routine autonomous decisions

• 2030+: Full autonomous decision-making for complex scenarios, with AI systems that can self-optimize

As for maintenance technicians, you're absolutely right about the role evolution! They're already transitioning from traditional troubleshooters to what I'd call "AI-augmented strategists." Instead of just fixing broken machines, they're becoming data-driven problem solvers who:

• Train AI models with their expertise (yes, they're becoming AI trainers!)

• Monitor AI-driven predictive maintenance systems

• Focus on preventing failures rather than reacting to them

• Work with voice AI interfaces and knowledge graphs to reduce repair times

Interestingly, technician jobs are actually expected to be among the least affected by AI job displacement, because the growth of AI-driven environments requires MORE technicians to oversee, implement, and maintain these complex systems. Their role is evolving, not disappearing!