Day 1 at Groundbreak 2026 gave us plenty to think about. From conversations on the expo floor to sessions exploring the future of construction technology, one theme showed up everywhere: construction AI is moving from experimentation to real project workflows.
At iFieldSmart AI, we had the opportunity to connect with contractors, project managers, superintendents, VDC professionals, and construction technology leaders at iFieldSmart AI Booth #1216. Here’s what we heard, what resonated, and what teams are thinking about as they head into Day 2.
From Experimentation to Execution
This year, AI was a central theme throughout the program, from the opening keynote, “Built on Intelligence,” to the closing keynote, “From Intelligence to Impact.” The sessions reflected a shift in how construction professionals are thinking about AI agents — less as something to explore and more as something to deploy on active projects.
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Schedule a MeetingWhat Booth Visitors Really Asked
Over 50 questions about real-world construction workflows were asked by more than 30 conference participants at our booth. Their questions focused on practical problems: how to handle fragmented project data, how to catch field deviations before they become rework, and how to connect the model to what’s actually being built.
The “Invisible Interface” session, pictured teams telling an AI agent the outcome instead of clicking through menus. A companion session with an emphasis on moving from AI experimentation to business value reinforced the same point: pilot projects only matter if they connect to measurable outcomes.
Start with the weekly repetitive tasks of your project engineers, like reviewing submittals, checking scope, or capture and summarizing meeting tasks, and the list of project risks or next steps that would be generated from that data.
What Can the Jobsite Prove?
Results from reality capture strategies, like drone mapping and robotic or fixed camera capture, don’t mean much unless they address and resolve questions. Lens360 turns field captures — 360°, drone, and laser-scan data — into actionable reports on sleeve installation, field-to-BIM deviation, thermal conditions, and progress tracking.
Start here: pick a capture schedule your crew can keep, weekly or at milestones. Steady coverage beats a heroic one-time scan that nobody repeats.
When the Model Meets the Field
The session on digital delivery during NIBS integrated disparate concepts of BIM, digital twin, robotics, and process automation. The core idea: models can drift from field reality, and the gap between the two is where problems accumulate. VDC and mixed reality connect the digital model to the physical jobsite, so teams can verify what’s been built against what was designed.
People witnessed a live demo of iFieldSmart AI to review Level 3 sleeves prior to a concrete pour. The AI verified sleeves by showing misplaced or missing sleeves against the BIM model, with recommended actions for each finding.
The same principle applies to MEP clashes, inspection blockers, etc. In most cases, catching such conflicts during the various design and construction phases gives you many more options for resolving them, and is far less expensive than fixing a problem after the concrete has been poured.
A good starting point is to schedule a model vs. field verification check at 2-3 key stages in your next project and keep a record of what it finds.
Balancing AI Speed with Human Judgment
The sessions showed that speed is the primary competitive advantage of AI systems. Trust is almost non-existent. Risks associated with the construction industry are too high to allow AI to make independent decisions. Construction AI tools that pair AI analysis with expert verification — AI first, a construction expert second — address this directly. The AI surfaces potential issues at scale; the expert confirms what warrants action.
Connecting Information to Action
Reality capture shows teams what’s happening on site. BIM and VDC connect field conditions to design intent. BIM and VDC integrate design intent and construction execution. AI and expert verification connect fragmented project data to actionable findings. Each layer builds on the one before it.
Positive shifts in technology mean construction teams are less likely to encounter unexpected negative outcomes as a result of oversight failures.
Managers are able to use time saved from researching to make better-informed decisions in the administration of a project. For superintendents, it means better visibility into what’s happening on the floor. For VDC professionals, it means more reliable coordination. For project owners, it means better data to make business decisions.
Five Takeaways to Put into Action After Groundbreak 2026
Here are five practical ways construction teams can put Day 1’s insights into action:
Start small: Artificial intelligence is very flexible, and you can use it for numerous repetitive tasks such as performing document reviews or summarizing meetings in ways that create measurable value. If you start small, then scale up.
Record jobsite conditions: To comprehensively document progress, consider implementing a schedule of 360° reality capture.
Connect models to field conditions: Survey BIM designs against real-life site conditions to spot conflict before it leads to redoing work.
Identify risks earlier: Keep watch on delayed contractors, pending Requests for Information, and remaining inspections.
Keep people in the loop: Verify critical AI outputs and measure results using metrics such as RFI turnaround time and rework.
Where Day 1 Leaves Us
The most interesting construction AI use cases don’t begin with a technology demonstration. They begin with a problem someone needs to solve.
An RFI that’s holding up installation. A clash discovered too late. A schedule that looks healthy until you examine the outstanding work. A field condition that didn’t match the model. Those problems are the entry point.
Visit iFieldSmart AI at Booth #1216 at Groundbreak 2026 to learn more about Agentic AI, Lens360 Reality Capture, BIM/VDC, and Mixed Reality. Bring a construction workflow, coordination problem, documentation challenge, or field issue — a real example beats a general question every time.
We’ll discuss data requirements, workflows AI can assist with, the areas where human judgment and review are essential, and the constraints of construction AI. The goal isn’t to sell a platform. It’s to find the workflows where earlier information would have changed the outcome on your last project.
See you at Booth #1216.
