AI isn’t just getting smarter—it’s getting more independent. And that independence has big implications for how we build.
In Parts 1 through 4 of this series, we walked through the early use of AI in construction—prompting to get answers, surfacing project-critical information from floorplans and specs, and transforming that output into schedules, RFIs, and coordination wins.
But where are we headed next? Enter: Agentic AI
Agentic AI isn’t just about answering questions. It’s about AI that reasons, plans, and acts on its own. It performs multi-step tasks, sets internal goals, and executes—sometimes without needing to be asked.
And in electrical construction, that’s a game-changer.
Let’s put this in context. Imagine an agentic system like [IQ] is trained on your project’s sheets, specs, and submittals. It now operates as a second brain for your team. Here’s how:
Agentic AI doesn’t just streamline work. It changes what’s possible.
We’re entering an era where AI will actively participate in design interpretation, assembly planning, and constructibility validation.
But let’s push further.
This means your prefab plan is no longer just a worksheet—it’s a living recommendation engine, adjusting to phasing changes, spec updates, and field feedback. It’s not waiting for you to say “go”—it’s asking, “Should we prefab this run using aluminum MC instead of EMT to save a week in install time?”
This wraps up our From 0 to 1 series, but the journey is far from over.
Future articles will dive deeper into:
If you’ve followed this series, you’re already at the frontier. Because the future isn’t about replacing people—it’s about removing the friction that slows great teams down.
Agentic AI is the next chapter. And if you’re building proactively, it’s one you’ll want to help write.