The Three Things Actually Moving the Needle in Construction Right Now

Three shifts are reshaping how buildings get built. The firms that see them are already pulling ahead.

The gap between construction firms that have figured out the next decade and the ones that haven’t is widening every quarter. It’s not showing up in the headlines yet. It’s showing up in schedules, in prefab outcomes, in which contractors get hired twice and which ones don’t. The firms pulling ahead are doing three specific things differently.

We’ve been watching this build for the last few years at VIATechnik. Across our work with general contractors, owners, and trade partners on hundreds of projects, the same patterns keep showing up. The firms making them work are pulling away from the ones still operating the old way. The gap is getting wider every quarter.

Three shifts are doing most of the work.

The model is leaving the BIM room and ending up in the hands of the people who actually build. AI is moving from a vendor pitch to a building material that construction teams use to shape their own workflows. Owners are no longer just accepting the physical building as the deliverable. They want the digital one too, and they’re rewriting the rules of the industry to get it.

None of these are individually revolutionary. But together they change how a project runs.
The leaders we talk to across the industry are seeing the same thing. Here’s what’s actually working.

Theme 1: The Model Has Left the BIM Room

For two decades, the BIM has lived in a room. Maybe a literal one. Definitely a metaphorical one. A small group of specialists owned it, fed it, protected it, and translated it for everyone else. If you wanted something from the model, you asked the model people.

That model of working is ending, and the firms that haven’t noticed are already behind.

The shift we’re seeing across our client base is the dissolution of the specialist gatekeeper. The actual coordination environment, the model itself, is moving into the hands of project engineers, field engineers, superintendents, and trade partners. The VDC team’s job is shifting with it. Less operating the model. More enabling other people to operate it.

This is not a story about software getting easier, though some of it has. It’s a story about expertise moving outward. Projects move too fast for the old model. Decisions happen too far from the VDC trailer. When the model lives in one room, the rest of the project is flying blind.

The leaders we work with see this clearly. Michal Wojtak, who runs VDC for Mortenson’s sports group, named it directly when we talked recently. “Democratization of VDC. The model is not only in the hands of a selected group of professionals, but also in every team member’s hands.” His team puts the coordination environment on every engineer’s computer. Not viewers. Not exports. The real thing.

Tristan Garner at Ryan Companies described the same shift from the field side. His superintendents have started building their own 4D planning sequences. The VDC team sets up the model and the phasing structure, then hands it over. “They become the operator,” Tristan told us. “We’re just the setup.”

The same dynamic is reshaping the trade side of the project. Steel and MEP have been the sophisticated BIM-enabled trades for a decade. Now interior framing, CMU, precast, and other historically lower-tech trades are catching up fast. The driver is prefabrication. The economics of prefab only work if every trade in the chain can operate from the model with precision.

Michal put it in one line: “A lot of prefabrication is only available if everybody is a player. One weak link in a chain breaks the system.”

The model is also leaving the office entirely and showing up where the physical work happens. AR headsets are now the verification layer for prefab installation. Carey McIlrath, Director of VDC at Christman, walked us through one of the cleanest examples we’ve seen. His team panelizes the top half of interior walls with all the MEP openings cut in the shop directly off the BIM model. When the panels arrive on site, the field crew puts on a Matterport headset, turns on the MEP model, and verifies that 200 openings across a floor are where they need to be. “It’s the only thing we could verify that with,” Carey told us. Six inches of accuracy. Anything off the model flags immediately.

The same model data is starting to drive robotic layout, automated total stations, and field tablets that pull up real-time coordination views on demand. None of these tools are new. What’s new is that they all draw from the same source, and that source is no longer confined to a workstation in the VDC trailer.

When the model is everywhere, and every trade is operating from it, and the field is verifying physical work against it in real time, coordination stops being a phase of the project. It becomes a property of the project. Something the whole team is doing continuously, instead of something the VDC group delivers and then defends.

The firms operating this way are running faster, catching problems earlier, and getting more value out of the same model investment. The firms still treating the model as specialist territory are watching that gap open.

Theme 2: Construction Teams Have Started Building With AI, Not Just Buying It

Every panel at every conference in 2026 has an AI track. Most of them are talking about the same things: agents, copilots, generative tools that promise to write your RFIs or summarize your specs. Useful, maybe. Not the thing that’s actually changing the industry.

The real shift is happening one layer down. Construction teams are starting to use AI to build their own tools. Not commercial products. Not vendor platforms. Internal workflows, small applications, automations that solve problems too specific for any off-the-shelf solution to bother with. Project engineers are writing tools that used to require a six-month vendor evaluation. Schedulers are automating their own report pipelines. VDC managers are shipping internal apps in weeks.

This is the move VIATechnik has been watching most closely. The build-versus-buy math has flipped, and most firms haven’t updated their playbooks yet.

Mitch Cornelius at Fortis said it plainly when we discussed this with him. “Putting AI development tools in the hands of end users who are not tech professionals has moved the needle faster than anything I’ve seen before.” Then he asked the question every operations leader should be asking right now: “Why would we go buy a point solution that does 80% of what we need to do, when we can build a point solution that does 100?”

The answer used to be obvious. Building was hard. Vendors had specialists, infrastructure, support teams, an ongoing roadmap. Buying was the safer bet for anything other than the most strategic workflows. The cost of building software has collapsed in the last two years, and that calculation has changed for a huge category of construction work.

This shift is real. It’s also dangerous, and Mitch knows it. “We’re a construction company, not a software company,” he said. “We don’t really want to be a software company. We don’t understand CI/CD. We don’t understand disaster recovery for software.”

That tension is the actual conversation worth having right now. The cost of building software collapsed. The cost of owning software did not. Every internal tool eventually needs maintenance, version control, security review, and a person who answers when it breaks at 2 a.m. The firms that haven’t thought about that are about to learn it the hard way.

The firms doing this well are holding both ideas at once. Build where the workflow is strategic and specific to how you operate. Buy where the problem is universal and someone else has already solved it. Partner where you need someone who understands both the construction work and the software lifecycle. The wrong answer is treating every problem as a build problem, or treating every problem as a buy problem. The right answer is portfolio thinking, applied to your tech stack the same way you apply it to your project mix.

There’s one more reframe worth sitting with. Most firms are pointing AI at information retrieval. Asking specs questions. Searching submittals. Pulling answers out of project archives. We don’t think that’s where the durable value lives, and Mitch had the sharpest version of why.

“AI for information retrieval on its own just isn’t very sticky. It’s really good at training people. Once they learn where stuff goes from using AI to help them get there, they don’t really need the AI anymore.”

That’s the insight most AI vendors don’t want you to internalize. AI as scaffolding, not crutch. People use it to learn the shape of their own systems, and then they internalize the system. The tool teaches them out of needing the tool.

The real question for 2026 isn’t what AI can do for your team. It’s where AI fits in your organization. Building internal tools. Training people on systems they already have. Automating actions in workflows that already work. Three different uses, three different operating models, three different risk profiles. Most firms haven’t picked. The ones that have are pulling ahead.

Theme 3: Owners Are No Longer Accepting Just a Physical Building

For most of the industry’s history, the deliverable was the building. The owner signed off, the construction team handed over a stack of as-builts and warranties, and the project closed. What happened next was someone else’s problem.

That arrangement is breaking down. And the pressure is coming from the top.

Owners are no longer willing to accept the old norms of construction delivery. Over budget and behind schedule used to be the cost of doing business. It isn’t anymore. Owners have watched the rest of the economy run on data, run on prediction, run on tight feedback loops between operations and decisions, and they’re asking why the buildings they finance still get delivered the way they did in 1985.

More importantly, they’re asking for something the industry hasn’t traditionally delivered. They want the digital building. Not just the as-builts. Not just a model handoff. A living, accurate, digital representation of the building they just paid for, structured well enough to plug AI on top of and run their operations from for the next 40 years.

This is the shift that’s pulling everything else forward.

The owners we work with are starting to write digital delivery requirements directly into contracts. Model accuracy standards. Asset data structures. Naming conventions. Handoff formats that align with the operations platforms they actually use. The bar for what counts as a finished project is rising, and it’s rising faster than most of the industry is prepared for.

The motivation is partly operational. A digital twin lets a facilities team find a valve in three seconds instead of three hours. It lets an owner model an energy upgrade before signing the capital approval. It lets a tenant move-in coordinator see the actual conditions of a space without walking it. These wins are real and they show up on the balance sheet within months of occupancy.

The bigger motivation is what comes next. Owners can see where the technology is going. AI on top of building data isn’t a future bet anymore. It’s a near-term reality, and the buildings that have clean digital foundations are going to compound advantages every year. The ones that don’t will spend the next decade trying to reconstruct what should have been captured the first time.

That pressure is reshaping construction from the outside in. General contractors who can deliver both the physical and the digital building are winning more work. The ones who treat digital delivery as a checkbox at closeout are getting passed over. Trade partners are being held to model quality standards that didn’t exist three years ago. Design teams are being asked to deliver authored models that survive into operations instead of getting thrown away at the end of design development.

This is the throughline behind the first two shifts. The model is leaving the VDC room partly because owners need the model to live longer than the project. AI is becoming a building material partly because the workflows that produce a clean digital handoff have to be efficient enough to not blow the budget. Every operational change happening inside construction firms right now is being accelerated by what owners are asking for at the other end.

The firms treating digital delivery as the new deliverable are positioning themselves for a different market. One where the building is the start of the relationship, not the end of it. One where the value of a project compounds for the owner over decades, and the construction team that built the digital foundation gets called for the next one.

The firms still optimizing only for the physical handoff are about to find themselves competing on price for work that increasingly isn’t being awarded on price.

The Pattern Underneath

Three themes. Three different parts of the project. Three different forces operating at different layers. Look at them together and they’re the same story.

The model leaving the VDC room is information moving from a small group of specialists to the people who need it to do their work. AI becoming a building material is workflow logic moving from software vendors to the people who actually operate the workflow. Owners demanding a digital building is information itself becoming part of the deliverable, structured to outlive the project that produced it.

Information is moving. That’s the trend.

It’s moving across stakeholders, from VDC specialists to engineers to superintendents to trade partners to owners and facilities teams. It’s moving across the project lifecycle, with information that used to live in one phase showing up in others. The model used to be a precon and construction artifact that got abandoned at closeout. Increasingly, it’s a thread that connects precon to construction to operations to capital planning. Information that lives in a silo gets less valuable every year. Information that travels across the lifecycle compounds.

And the information is moving toward the decision. Not toward the report or the deliverable, but toward the moment someone has to choose what to do next. The superintendent deciding how to sequence the next two weeks. The trade partner deciding whether to start fabrication. The owner deciding whether to approve a tenant fit-out. The facilities manager deciding which valve to service first.

That’s the thing the industry has been bad at for a long time. Construction generates enormous volumes of information. The model. The schedule. The submittals. The RFIs. The as-builts. The work orders. The commissioning data. The warranty records. Most of it has historically lived in the place it was created and stayed there. The model lived in VDC. The schedule lived in the scheduler’s head. The coordination data lived in the trailer. The reasons certain decisions were made lived in the senior superintendent who retired last year.

The firms moving fastest right now are the ones treating this as one problem. Coordination, planning, verification, fabrication, and operations are not separate disciplines that occasionally exchange documents. They’re a connected workflow, and the connections are where the value lives.

This is the work VIATechnik has been doing for years. We build the connective tissue. We help GCs, owners, and trade partners move information across stakeholders, across the project lifecycle, and into the moments where decisions actually get made. Sometimes that looks like coordination intelligence that captures and scales the knowledge of your best people. Sometimes it looks like digital twin foundations that turn a finished building into a working asset instead of a finished deliverable. Sometimes it looks like supply chain visibility that ties what’s getting built to what’s getting ordered.

The platforms have names. Precogs. Voyager. The platforms aren’t the point. The point is that construction outcomes get better when information flows, and the firms that figure out how to make it flow are going to win the next decade.

The shift is real. It’s accelerating. And the firms that see it are already ahead.

What This Means for the Rest of 2026 and Beyond

The construction firms pulling ahead right now share a pattern. The model is in everyone’s hands, not just VDC’s. AI is a building material their teams use to shape their own workflows. Digital delivery is built into how they run projects, not bolted on at the end. None of these are individually revolutionary. Together they change how a project runs, and they change what an owner gets at the end of it.

The firms that don’t make this shift will keep doing fine for a while. Then their schedules will start slipping in ways that are hard to explain. Their best people will retire and take the institutional knowledge with them. Their prefab partners will start preferring competitors who can actually keep up. Owners will start awarding work to firms that can deliver the digital building alongside the physical one. The gap will open quietly and then it will open fast.

If you’re working out where to place your bets for the rest of 2026, the bet isn’t on a tool. It’s on flow. On information moving across your stakeholders, across your project lifecycle, and into the moments where decisions get made. On building the digital foundation that owners are increasingly going to demand and that your own teams need to operate at the speed the market expects.

Talk to us before your next planning cycle. We’ve spent years building the connective tissue, and we’d rather help you build yours than watch you build it the hard way.