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Paul Doherty, AIA, CSI, CDT, IFMA Fellow, DFC Senior Fellow, President and CEO, the Digit Group

Paul Doherty, AIA, CSI, CDT, IFMA Fellow, DFC Senior Fellow, President and CEO, the Digit GroupWhy Construction Technology Succeeds or Fails in Practice
Successful adoption of construction technology ultimately comes down to people, incentives and timing rather than the features themselves. Being a part of this global industry since 1984, I’ve landed with a truth that adoption happens at the job trailer, not in the boardroom. What I mean by this is if executives buy the tool, but foremen, supers or subs absorb the friction, resistance is almost guaranteed. Tools win when the daily user feels an immediate payoff: less rework, fewer calls, faster close-out and fewer surprises. Another truth that I’ve discovered over time is that Construction is deeply sequential and time-compressed.
This means that Tech gets resisted when it:
• Adds steps instead of removing them
• Forces “double entry” (field → office → system)
• Breaks the rhythm of how work actually flows on site
But Tech gets adopted when it:
• Slots into existing moments (daily reports, RFIs, inspections, pay apps)
• Works offline, on mobile, with gloves on, in bad weather
• Feels like a tool, not a “system”
Construction is incentive-misaligned by design. That means adoption accelerates when:
• The party paying for the tech also captures the benefit
• The tool reduces their risk (schedule, cash flow, claims)
Adoption stalls when:
• Owners mandate, but subs do the work
• Savings accrue after the contract is closed
I’ve seen when ConTech fails because it’s perceived as:
• A compliance weapon
• A claims discovery engine
• A productivity monitor without upside
But I’ve also seen ConTech succeed when it’s framed as:
• A defensive shield (documentation, proof, protection)
• A way to get paid faster
• A way to avoid being blamed
We all know that our Construction Industry is brutally empirical, which means that:
• Case studies matter more than roadmaps
• Peer validation is valued more than analyst validation
• “Used by a competitor” is more powerful than “industry-leading AI”
I remember one superintendent saying, “This saved my ass” and in my mind, that beats 50 PowerPoint slide decks. Construction tech adoption isn’t a software problem; it’s a behavioral economics problem inside a risk-transfer industry.
Cultural and Behavioral Keys to Construction Tech Adoption
Let’s talk about the human stuff—because in construction, culture eats software for breakfast.
Here are the cultural and behavioral barriers that most reliably slow (or kill) digital adoption in construction, based on what actually happens on jobsites and in trailers:
• Digital tools feel like a challenge to professional judgment
• Tech is perceived as replacing expertise rather than amplifying it
What works:
• Position tech as memory, protection and leverage, not decision-making
• “This helps you prove you were right,” beats “this tells you what to do”
• Adoption improves when:
• Data ownership and usage rules are explicit
• Tools clearly reduce claims risk, not expand it
• Early wins show documentation protecting the field team
• Emphasize immediate, in-project wins
• Faster pay apps, fewer RFIs, cleaner closeout—not enterprise transformation
Construction is a chain of handoffs. The cultural norm:
• Optimize your scope, transfer risk downstream
• Success means “I met my contract, not the system worked”
Digital tools struggle when:
• Value depends on everyone using them
• One weak link breaks the chain
What works:
• Tools that deliver value even with partial adoption
• Clear incentives tied to your scope, not industry harmony
Solutions that stick:
• Visual-first, minimal text
• Voice, photos, checklists
• Training done in the field, not in classrooms
• Respected supers or foremen champion it
• Peer-to-peer validation spreads
• Leaders visibly change their behavior
Construction resists digital change not because people are anti-tech, but because:
• Risk is personal
• Time pressure is constant
• Trust is fragile
• Reputation matters more than dashboards
Tech wins when it protects identity, reduces risk and respects the tempo of the job.
Improving Collaboration Across Design, Construction, and Operations
Technology only improves collaboration if it changes how decisions get made, not just how files get shared. When it works, it collapses silos by aligning timing, incentives and truth across design, construction, and operations.
One shared source of truth (not three translations of it). Design, construction and operations all look at the same asset differently. When tech is adopted well:
• Designers stop “throwing over the wall”
• Builders stop redlining in isolation
• Operators stop rebuilding models after handover
• Most project conflicts are due to late discovery. Adopted tech enables:
• Constructability issues flagged during design
• Cost and schedule impacts seen in real time
• Ops constraints (maintenance access, lifecycle cost) surfaced early
Results:
• Fewer RFIs
• Less redesign
More “we solved this together” moments
But Collaboration dies when everyone is forced into the same interface. Good adoption means:
• Designers see intent and constraints
• Builders see sequences and tolerances
• Operators see assets, performance and maintainability
Using the same underlying data but with different views. That’s when teams stop arguing about whose version is right and start aligning on what to do next.
Technology improves collaboration when it:
• Shifts teams from role-based silos to outcome-based alignment
• Moves conflict earlier, when it’s cheaper and less personal
• Preserves institutional memory across phases
Our industry is entering its next phase of how work gets done. By watching, learning and implementing innovations, we will change our world and build a better built environment on a global scale.
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