New York Build 2026 at the Javits Center was a strong reminder for me that the conversation around AI and robotics in construction is no longer theoretical. It is moving quickly from hype to practical application.
I had the opportunity to participate in two panel discussions: Supporting but Not Replacing: AI’s Role in Construction and Better, Faster, Stronger: Robotics Shaping the Future of New York’s Construction Industry. Across both conversations, one point came through clearly: these technologies only create real value when they are integrated into how projects are delivered, not when they are treated as standalone innovations.
From my perspective leading VDC, that distinction is critical.
AI as an Amplifier, not a Replacement.
There is still a tendency to frame AI as something that replaces people. That has not been my experience.
What I am seeing in practice is that AI works best as an amplifier of expertise.
Within VDC/BIM workflows, we have already moved beyond basic clash detection. AI is now enabling a more intelligent coordination process, one that prioritizes issues, adds context to risk, and supports faster, more informed decision-making.
Instead of simply identifying conflicts, AI helps teams:
- Focus on the issues that matter most
- Understand the downstream impact of coordination decisions
- Act earlier in the process with greater confidence
For electrical contractors, this has immediate implications. Coordination-heavy systems like conduit, cable tray, and above-ceiling distribution benefit significantly from better visibility and earlier risk identification.
But even with these advancements, the “last mile” still belongs to people. Constructability decisions, sequencing, and field adjustments require judgment that comes from experience, understanding how things get built, not just how they are modeled.
Robotics: Real Progress, Real Constraints
The conversation around robotics has also matured.
We are no longer asking if robotics has a place on the jobsite. We are now asking how it fits into the workflow, and what it takes to scale it.
There are already clear benefits:
- Improved productivity in layout and repetitive installation
- Safer execution by reducing exposure to hazardous tasks
- Greater consistency and quality in installation
But what I have seen is that the limiting factor is rarely the technology itself. It is everything around it.
Robotics depends on:
- Accurate, fabrication-ready models
- Clear sequencing and coordination logic
- Buy-in from the field teams who use it
Without those, even the best tools struggle to deliver value.
Why Electrical Stands Out
During the Q&A, I was asked which trade I believe will benefit the most from robotics and automation. My answer was immediate: electrical.
That is not a guess, it is based on how the work is structured.
Electrical systems are:
- Highly standardized due to code and regulatory requirements
- Repetitive in installation, especially with conduit and supports
- Precision-driven, where alignment and consistency matter
- Increasingly prefabricated, which aligns well with automation
When you look at those characteristics, it becomes clear why electrical is a strong candidate for early adoption.
We are already seeing examples:
- Robotic layout systems improving accuracy in hanger and conduit placement • Automated cutting and bending processes reducing manual effort
- Integration with prefabrication workflows for assemblies
These are not future ideas, they are happening now, in pockets. The question is how quickly they scale.
The Real Challenge: Data and Model Quality
If there is one constraint that continues to come up, across both AI and robotics, it is data quality
For these technologies to work, the model cannot be approximate. It must be constructible. That means:
- Clear routing for conduit and systems
- Defined supports and clearances
- Alignment between design intent and field reality
In many cases, we are still working with models that are closer to LOD 200–300 when what we need for automation is closer to LOD 400.
Until that gap is consistently addressed, adoption will remain uneven.
Connecting the Loop
What I keep coming back to is that the real opportunity is not in any single tool. It is in how everything connects.
The firms that will lead are the ones building a closed-loop workflow:
Model 🡪 Field 🡪 Verification 🡪 Issues 🡪 Insights 🡪 Back to Model In that loop:
- AI helps process and prioritize information
- Robotics helps execute with consistency
- Reality capture validates what was actually built
- Teams feed that information back into the model
For electrical contractors, this creates a much tighter feedback cycle. It reduces rework, improves coordination, and allows decisions to be made earlier, when they are less costly.
A Practical Path Forward
From where I sit, the industry is at an inflection point.
The technology is ready or close enough. What matters now is how we apply it. For electrical contractors, the path forward is relatively clear:
- Use AI to enhance coordination and decision-making, not replace it • Target robotics where tasks are repetitive and standardized
- Invest in better model quality and upstream data
- Align workflows between design, fabrication, and field execution
If we get those pieces right, the impact is real, better productivity, safer sites, and higher-quality outcomes.
If we do not, we risk adding another layer of complexity without solving the underlying problems.
Final Thought
The biggest takeaway for me is simple:
AI and robotics are not the transformation.
The transformation is how we connect them to the way we build.
And in that shift, the electrical trade is not just participating, it is in a position to lead.
