Estimating and takeoffs
Models read drawings and specifications, count quantities and draft the first estimate, which an estimator then checks and prices.
AI in construction: use cases, tools and adoption data
Half of US construction firms say they use AI tools, yet the Census Bureau counts only one in six construction businesses using AI in their operations. Here is what the 2026 data says, where AI pays off on real projects, and what it takes to connect AI to the systems you already run.
- 52% of US construction firms use AI tools for everyday work, up 20 points in a year
- Only 17% of US construction businesses use AI in their operations, by the Census Bureau's count
- The biggest wins are in reporting, documents and cost forecasting, not on the jobsite
AI adoption in construction: 2026 data
- 52%of US construction firms use AI tools for everyday business tasks, up 20 points in a year
- 17%of US construction businesses used AI in their operations in the latest Census survey, up from 8% at the end of 2025
- 44%of employed US construction workers use generative AI for work
- 37%of construction professionals plan to increase AI investment in the next 12 months
How many construction workers use generative AI
The most consistent public time series comes from the Real-Time Population Survey, a nationally representative survey of US adults. Use rose for six quarters, peaked in early 2026 and then levelled off.
View data as a table
| Q3 '24 | 37.8% |
|---|---|
| Q4 '24 | 33.9% |
| Q1 '25 | 30.9% |
| Q2 '25 | 37.4% |
| Q3 '25 | 37.9% |
| Q4 '25 | 43.4% |
| Q1 '26 | 48.1% |
| Q2 '26 | 43.5% |
| Q3 '26 | 43.7% |
How many construction firms use AI
Houzz surveyed 601 US construction and design businesses in mid-2026. Among construction firms, half already use AI, and only one in seven has no plans at all.
- Use AI-powered tools for business tasks52%
- Exploring AI34%
- No current use or plans14%
Of the construction firms that use AI, 80% use it daily. Estimates and proposals are the most common use in project and client management (87%).
View data as a table
| Use AI-powered tools for business tasks | 52% |
|---|---|
| Exploring AI | 34% |
| No current use or plans | 14% |
AI use cases in construction
Most value today sits in paperwork-heavy workflows around the project, not on the jobsite itself. Pick a project phase to see where AI fits.
Bid and proposal drafting
Language models assemble proposals from past bids, scope documents and pricing, so teams spend time on strategy instead of formatting.
Design review
Automated checks compare drawings against specifications and flag clashes or missing information before tender.
Reporting
Daily and weekly reports are compiled from site logs, photos and schedules instead of being written by hand.
Document and RFI management
Assistants search contracts, RFIs and submittals and answer questions with a link to the source document.
Cost forecasting
Forecasts are updated from actual spend, change orders and progress data, so overruns show up earlier.
Scheduling
Schedules are checked against resources, deliveries and weather, and conflicts are flagged before they hit the site.
Safety monitoring
Computer vision on site cameras flags missing protective equipment and unsafe zones for a supervisor to review.
Progress tracking
Photos and scans are compared with the plan to show what is actually installed and what is behind.
Quality inspection
Defects found during inspections are classified and routed to the responsible trade with photos attached.
Demand forecasting
Material needs are forecast from the project schedule and past jobs, so orders match the work that is actually coming up.
Automated reordering
Stock levels at the yard and on site trigger purchase requests within agreed limits; anything unusual goes to a person.
Delivery and location tracking
Materials are tracked from supplier to site, so superintendents can plan crews around what has actually arrived.
Where project managers see the most value
- Reporting84.3%
- Document management69.4%
- Cost management and forecasting65.7%
- Contract administration63.9%
- Scheduling62%
- Cost estimation and takeoffs59.3%
- Risk, issues and opportunities54.6%
- Quality assurance and defects36.1%
- Safety management32.4%
Respondents could choose several answers.
View data as a table
| Reporting | 84.3% |
|---|---|
| Document management | 69.4% |
| Cost management and forecasting | 65.7% |
| Contract administration | 63.9% |
| Scheduling | 62% |
| Cost estimation and takeoffs | 59.3% |
| Risk, issues and opportunities | 54.6% |
| Quality assurance and defects | 36.1% |
| Safety management | 32.4% |
Not sure which workflow to automate first?
We review your current tools and data and show which AI use case pays off fastest on your projects.
AI for construction materials and inventory management
Materials are where schedule and cash meet. Order too early and capital sits in the yard; order too late and crews wait. Most contractors still manage this with spreadsheets, phone calls and periodic stock counts.
AI inventory management connects three things that usually live in different systems: the project schedule, purchasing and actual stock on site.
- Forecast what each phase will consume from the schedule and from similar past projects.
- Propose purchase orders and deliveries timed to the work, within limits the team sets.
- Reconcile deliveries, returns and transfers between sites automatically.
- Flag price changes and supplier delays early enough to re-plan.
The hard part is rarely the model. It is clean item data, integration with the ERP and project management tools the company already uses, and clear rules for when a person must approve an order.
[ Process ]
How an AI inventory workflow runs
Each step can start manually and be automated once the team trusts the output.
Connect the data
The schedule, bill of materials, purchase orders and stock counts flow into one data layer, so every forecast starts from the same numbers.
Forecast demand
The model estimates what each phase and each site will consume, based on the schedule and similar past projects.
Propose orders
An agent drafts purchase orders and delivery slots timed to the work, within the limits the team has agreed.
Approve exceptions
A buyer or superintendent reviews large orders and anything unusual. Routine orders go through without manual work.
Track deliveries
Deliveries, returns and transfers between sites are reconciled automatically, and supplier delays are flagged early enough to re-plan.
Learn from actuals
Actual usage and delays feed back into the next forecast, so accuracy improves with every project.
What holds construction teams back
- Concerns about accuracy and trust29.6%
- Don't understand how to use it15.7%
- Doesn't integrate with existing tools13.9%
- Lack of skills on the team13%
- Privacy and data security8.3%
- Too expensive3.7%
Privacy concerns fell from 25.7% in 2025 to 8.3% in 2026. The two samples differ, so treat the change as directional.
View data as a table
| Concerns about accuracy and trust | 29.6% |
|---|---|
| Don't understand how to use it | 15.7% |
| Doesn't integrate with existing tools | 13.9% |
| Lack of skills on the team | 13% |
| Privacy and data security | 8.3% |
| Too expensive | 3.7% |
Where the data disagrees: is construction AI mainstream yet?
Depending on which survey you read, construction is either an AI early adopter or barely started. The difference comes down to who was asked and what counts as using AI.
Yes: AI is already part of daily work
- 52% of US construction firms use AI tools, up 20 points in a year, and 80% of them use AI daily.
- 44% of US construction workers use generative AI for work, up from 31% in early 2025.
Not yet: use is shallow and uneven
- The Census Bureau counts only 17% of construction businesses using AI in their operations.
- 61% of construction firms that use AI work only with stand-alone tools outside their business software. Just 13% rely on AI built into it.
- Generative AI use among construction workers fell from 48% in Q1 2026 to 44% and has stayed there.
Evgeny Lupanov
Chief Technical Officer
Both are true. Most teams already use a chatbot to draft emails and reports, but that is personal productivity, not a company capability. Value shows up when AI is connected to the systems where project data lives and someone owns the result. That is why most firms are still on stand-alone tools: connecting AI to company data takes clean data and clear limits, not just a subscription.
[ Challenges ]
Challenges and how to address them
Teams don't trust AI output
Start with tasks where a person already reviews the result, such as reports and estimates. Show the source of every answer and track accuracy openly.
AI doesn't fit the tools crews already use
Build AI into the existing ERP, project management and document systems through their APIs instead of adding another standalone app.
Data is scattered and inconsistent
Clean and connect one data set first, for example materials or RFIs, and prove value there before widening the scope.
People don't know how to use it
Train on the team's own documents and workflows, and name an owner on each project who collects feedback.
“In construction, the fastest wins are not on the jobsite but in the paperwork around it. Pick one workflow your team repeats every week, connect it to the data you already have and measure it. If it doesn't save time within a month, change the workflow, not the model.”
[ Case Studies ]
Construction software we have built
Akveo has delivered software for construction companies in the UK and Australia. These are the systems that AI features plug into.
ConstructionWeb Development
Web App for UK Construction Professionals
Design delivered 2x faster than planned
HAAST, a London-based construction services company, needed a web application to connect construction professionals and manage their tasks on a tight budget. Using the Eva Design System, we delivered the design twice as fast as planned with 40% less design effort.
ConstructionMobile Development
Communication and Document App for Construction SMBs
3 platforms from one serverless codebase
We built iOS, Android and web apps that help small businesses keep communication and documents in one place. The app became part of the daily workflow of a medium-sized Australian construction company.
Sources
- Houzz, 2026 U.S. Houzz State of AI in Construction & Design (PDF) · 601 US construction and design businesses, June–July 2026
- US Census Bureau, Business Trends and Outlook Survey: AI use by sector · Biweekly survey of US employer businesses; construction sector, October 5–18, 2026
- Federal Reserve Bank of St. Louis (FRED), Generative Artificial Intelligence, Adoption Rate for Work: Construction · Real-Time Population Survey (Bick, Blandin, Deming), quarterly
- RICS, AI in Commercial Property and Construction Report 2026 · 3,148 responses, Q1 2026
- Mastt, State of AI in Construction Project Management 2026 · 108 construction project managers worldwide, March–June 2026
[ FAQ ]
Frequently asked questions
Discuss AI for your construction business
Tell us about your projects and the tools you use. We will come back with the AI use case that pays off fastest and a rough estimate.
Dmitry Klim
Head of Growth
