The Next Five Years: Predictions for AI in Construction
Bassem Hamdy · CEO, briq · Mar 2026
Where AI in construction is headed — from autonomous project controls to AI-native firms, here are my predictions for 2026-2031.
I'm often asked where AI in construction is headed. Having spent years on the frontier of this transformation, I want to share my predictions for the next five years — not as speculation, but as informed forecasts based on the technology trajectories and adoption patterns I'm seeing today. Some of these predictions will seem conservative; others might seem bold. I believe all of them will prove accurate.
Prediction one: by 2028, AI-powered financial automation will be standard at every ENR-400 contractor. Today, about a third of large contractors use AI for financial workflows. Within two years, that number will exceed 80%. The ROI is too clear, the talent shortage too acute, and the competitive pressure too strong for companies to remain on the sidelines. Invoice processing, payroll generation, and month-end close will be predominantly AI-driven processes.
Prediction two: the construction back office will shrink by 30-40% in headcount — while handling 50% more volume. This isn't about layoffs; it's about growth without proportional hiring. As construction companies take on more work, AI will absorb the incremental back-office workload. Companies doing $2 billion in revenue in 2030 will have smaller finance teams than companies doing $1 billion today — and they'll close faster, forecast better, and catch more errors.
Prediction three: AI-native construction companies will emerge and outcompete traditional firms. Just as digital-native companies disrupted traditional industries, we'll see construction firms built from the ground up around AI capabilities. These firms will have fundamentally different operating models — leaner staffing, faster decision-making, better risk management — and they'll win work on the strength of their execution capabilities, not just their relationships.
Prediction four: predictive project controls will replace backward-looking reporting. The monthly cost report — the cornerstone of construction project controls for decades — will be replaced by continuous, AI-driven project health monitoring. Project managers will receive proactive alerts about emerging risks rather than discovering problems in retrospective reports. This shift from reporting to prediction will meaningfully reduce project overruns and disputes.
Prediction five: integration platforms will consolidate the construction technology stack. The era of 40 disconnected software systems is ending. AI requires connected data to be effective, which will drive rapid adoption of integration platforms. Within five years, most construction companies will operate through a connected platform layer that unifies their disparate systems — and the companies building those platforms will become the most valuable in the construction technology ecosystem.
Prediction six: AI will enable a new wave of construction industry consolidation. Companies with superior AI capabilities will be able to operate at greater scale with better margins. This operational advantage will make them more competitive in pursuing work and more attractive as acquirers of smaller firms. I expect the construction industry to consolidate significantly over the next decade, with AI capability being a primary differentiator between acquirers and targets.
Prediction seven: the role of the construction technology leader will become a C-suite position. As technology becomes the primary driver of competitive advantage, the person responsible for AI and technology strategy will move from a support function to a strategic leadership role. CTOs and Chief Digital Officers will sit alongside CFOs and COOs in driving company strategy.
The next five years will be the most transformative period in the history of construction operations. The technology is ready, the economic imperative is clear, and the early adopters are already proving the model. My advice to every construction leader: the time to act is now. The advantages compound, and the companies that move first will be very difficult to catch.