AI in construction: What it is, what it does & how to get started

Are you curious about integrating AI into your construction business?

You’re not alone.

Since the launch of ChatGPT in November 2022, every industry has been exploring how this artificial intelligence chatbot and others like it can improve – and maybe even revolutionize – workflows. In fact, Bloomberg estimates that mentions of artificial intelligence have already increased by 77% since last year. While people have mixed opinions about AI ranging from bright optimism to complete skepticism, one thing is for sure: it’s here and the possibilities are endless.

Our teams at Buildertrend are already working with AI to make our work more efficient. This blog, for example, was written by a human with the help of AI, cutting in half the time required to research, write, format and edit this piece. We know – a blog about AI written with AI does feel a little bit like an episode of “The Twilight Zone.” But hang with us.

As new construction technologies continue to accelerate, many residential builders and remodelers are looking for creative ways to leverage cutting-edge tools to improve construction efficiency and profitability. When our teams recently attended the Contractor Coalition Summit, top builders were already sharing how they’re using AI chatbots to streamline social media, customer communications and more.

We understand that construction, one of the world’s largest and longest-standing industries, grapples with rising costs and complex challenges around efficiency while prioritizing safety. Technology, such as AI, provides the answer, but how does an industry notoriously slow to embrace new things adapt to and embrace AI? And is it worthwhile to do so?

AI can alleviate the hassle of painstaking manual tasks such as data entry, risk management analysis, document organization and collaboration processes between general contractors and clients – making smart construction a reality.

But where do you start? In this post, we’ll explore practical tips on how to plan for the future with construction AI so that you can stay ahead of the competition while maintaining an efficient project workflow – just like the team creating this content for you.

What is AI in construction?

Artificial intelligence in construction is software that analyzes large data sets from your business to automate difficult calculations and processes. This can take different forms, but it ultimately aims to improve your business operations, saving you time and money.

Types of AI in construction

AI can be implemented in the construction industry in various ways, such as machine learning, deep learning, AI automation, robotics and predictive analytics.

Machine learning

Machine learning is a subset of AI that provides systems with the ability to automatically learn and improve from experience without being programmed. Machine learning focuses on developing computer programs that can access data and use it to learn for themselves. In the context of residential construction, machine learning has become incredibly useful in helping automate complex processes.

For example, machine learning can be used to quickly and accurately identify any issues in the construction process, such as potential defects in materials or instances of noncompliance. Machine learning algorithms can also make decisions about which materials should be used based on price, availability, quality and environmental impact.

Deep learning

In its simplest form, deep learning imitates the way the human brain works, creating multilayered neural networks and patterns that can be used for tasks.

In the residential construction sector, companies can use it to automate routine tasks such as safety audits and quality control inspections. It can also be used to improve design processes by helping architects and engineers identify potential problems in their plans before they become costly mistakes during construction. Additionally, deep learning enables companies to quickly detect and diagnose problems in existing structures, reducing the amount of time and money spent on repairs.

AI automation

AI automation is the use of chatbots and other AI technology to automate various processes within your construction business. AI automation allows for tasks to be completed more efficiently, with reduced cost and labor, all while providing higher-quality results.

Automation can help streamline communication between contractors and clients, manage project timelines and budgeting, keep track of labor hours and costs associated with a project, provide insight into customer satisfaction levels, and even detect problems and errors before they become major issues.

Robotics

Robotics is a technology that uses computer systems to control machines and processes, enabling them to interact with their environment autonomously. In residential construction, robotics is being used in a range of ways to streamline operations and provide more efficient means of getting jobs done.

For instance, robotic surveyors can quickly map out and measure sites for new projects while robotic crane operators can safely and accurately lift and place building materials with minimal human supervision. Robotic bricklayers can lay bricks faster and with more consistency than traditional manual labor, while robotic carpentry machines can cut lumber to precise specifications with ease. In addition, AI-driven construction management systems are being used to automate paperwork, calculate project costs and optimize workflows for maximum efficiency.

Predictive analytics

Predictive analysis tools such as IBM SPSS, 6sense, Radius, IBM SPSS Statistics, and Appier leverage data and metrics from a variety of sources, such as weather reports, customer feedback, contractor performance reviews and financial information. This data is then used to create highly accurate predictions of potential problems, risks and opportunities.

Predictive analysis isn’t just useful for identifying potential risks and opportunities. It also helps contractors stay informed about market trends, customer feedback and new technological advancements that could improve their processes. By leveraging the power of AI-driven predictive analytics, contractors can make better decisions about how to run their businesses more efficiently and profitably.

The importance of using construction AI

As AI technology continues to develop and become a more integral part of the construction industry, building contractors are realizing the many benefits that come with embracing new technology. AI is transforming the future of construction, and those who embrace it now will reap the benefits for years to come.

Increased efficiency

AI is helping construction professionals increase efficiency in numerous ways, such as automating tedious tasks, digitizing processes and streamlining data collection.

Improved safety

AI offers improved safety because it can be used to detect potential hazards in construction sites and alert workers of risks before they occur.

Better decision-making

AI provides contractors with better decision-making capabilities by allowing easy access to data and insights that can help them with project planning. AI algorithms can be used to analyze vast amounts of data in order to make better decisions faster than humans, allowing businesses to stay ahead of the competition.

Quality control

Quality control is improved thanks to AI’s ability to quickly detect any flaws in work progress and alert workers, preventing costly mistakes from happening.

Cost savings

Artificial intelligence in the construction industry can be used to save money by reducing labor costs and material waste. Contractors can use AI to manage resources more effectively, accurately estimating the amount of materials needed for a project and helping workers avoid overspending or underbuying. 

Practical ways construction teams can use AI now

Keeping up with construction industry trends is key to setting your company apart from competitors in 2023. AI is transforming the construction industry by introducing new tools and techniques to improve efficiency and effectiveness. Here are some of the most current and common applications of artificial intelligence in construction.

1. Contracts

AI-powered contract analysis tools can help review and analyze construction contracts, identifying potential issues or discrepancies that may require further attention. This can speed up the contract review process and reduce the risk of errors or disputes.

2. Design alternatives

AI-driven design software can help architects and designers explore different design alternatives, evaluating the impact of various options on a project’s cost, schedule and sustainability. This enables better decision-making and more efficient use of resources.

3. Optical character recognition

OCR technology can be used to digitize documents, such as blueprints, invoices and receipts, allowing for easier storage and retrieval of information. This can help reduce the amount of time spent on administrative tasks and improve accuracy.

4. Construction methodology

AI can help optimize construction methodologies by analyzing data from past projects and identifying areas for improvement. This can help reduce costs, minimize waste and improve overall efficiency.

5. Administrative tasks

AI-powered virtual assistants can automate administrative tasks like scheduling, email management and data entry, freeing up time for construction professionals to focus on more critical tasks.

6. Drones

Drones equipped with cameras and sensors can monitor construction sites, capture data for 3D models and inspect hard-to-reach areas. This can help improve safety and efficiency on job sites.

7. Project and subcontract management

AI-powered project and subcontractor management tools can optimize scheduling, resource allocation and budgeting, reducing the chance of errors and delays and ensuring that projects stay on track and on budget.

8. Field reporting and alerts

Wearable devices and sensors can track worker activity and provide real-time alerts for safety hazards or potential quality issues. This technology can help reduce the risk of accidents and improve quality control.

9. Smart assistants

AI-powered smart assistants can provide workers with real-time information and guidance, such as weather reports, safety alerts and instructions for performing specific tasks.

10. Safety and compliance

AI tools can monitor construction sites for compliance with safety regulations, identifying potential hazards and alerting workers in real-time to prevent accidents and maintain a safe working environment.

How to get started with construction AI in 2023

Getting started with AI doesn’t have to be scary. Start small and keep exploring. Just like with Buildertrend’s construction management tools, it helps to prioritize the work you want to make simpler first and focus there, rather than trying to tackle too many objectives or areas of your business at once. Here’s a step-by-step guide to getting started with construction AI – it’s the same process our teams have been using to streamline projects and daily tasks:

1. Get familiar with AI solutions

The first step in incorporating AI into your construction business is to get familiar with the current state of AI solutions available in the market. This includes understanding the different types of AI – such as machine learning, natural language processing and computer vision – and how they can be applied in a construction business context.

Here are some of the most commonly used AI tools and solutions for residential construction companies:

• Building Information Modeling (BIM) software: Some of the most popular BIM software brands include Autodesk Revit, ArchiCAD and SketchUp.
• Safety monitoring systems: Brands in this space include Smartvid.io, Triax Technologies, and Amulet.
• Predictive maintenance software: Some of the top brands in this category include IBM Watson IoT, Senseye, and Augury.
• Construction robots: There are several companies developing robotics technology for the construction industry, including Boston Dynamics, Construction Robotics and Brokk.

It’s worth noting that some of these brands may offer solutions beyond what’s listed here, and there may be other brands not mentioned that provide AI tools and solutions for the residential construction industry. It’s important to evaluate each brand and solution on a case-by-case basis to determine their suitability for a specific business’s needs.

2. Identify the problems you want to solve

Once you have a basic understanding of AI solutions, it’s important to identify the specific problems you want to solve using AI. This could include optimizing workflows, improving safety or reducing waste and costs. By identifying specific use cases for AI, you’ll be better equipped to evaluate potential solutions that can address those problems.

3. Assess the potential value of various AI implementations

After identifying the problems you want to solve, it’s important to assess the potential value of different AI implementations. This could involve conducting a cost-benefit analysis or evaluating how a specific solution might impact your workflow or operations. By assessing the potential value of different AI implementations, you can make more informed decisions about which solutions to pursue.

4. Bring in experts for building and integration

Implementing AI solutions in a construction business often requires expertise beyond what’s available in-house. This may involve bringing in experts to help with building and integrating AI solutions. Whether through partnering with a vendor or hiring a consultant, having access to specialized expertise can help ensure successful implementation of AI solutions.

5. Start small

When incorporating AI into a construction business, it’s important to start small. This means focusing on specific use cases and implementing solutions in a way that’s scalable and can be built upon over time. By starting small, you can gain experience and understanding of how AI solutions work in your organization and make adjustments as needed before scaling up.

6. Incorporate AI into daily operations

Finally, it’s important to incorporate AI solutions into daily operations. This could involve integrating AI-powered tools into existing workflows or creating new processes that leverage AI solutions. By incorporating AI into daily operations, you can realize the full potential of these solutions and achieve your desired outcomes.

What’s next for construction AI?

AI is transforming the construction industry, enabling project teams to work faster and smarter than ever before. As this transformation continues, AI will become increasingly important in helping manage complex construction projects more efficiently. In the future, AI will be used to automate mundane tasks, enhance collaboration between teams and even predict potential issues before they arise.

Construction teams can already benefit from AI-powered technologies such as computer vision and natural language processing to identify potential risks, analyze construction site images, and even speed up data entry. With AI-powered analytics, project managers can track progress with deeper insights into resource allocation, cost control, and performance.

In the future, AI will be used to automate processes like design optimization and risk detection. This will help construction teams work more efficiently and make sure projects stay on track. AI can also be used to simulate the operations of a construction project, helping teams identify potential issues. This means that any risks are identified and addressed faster, allowing for better risk management and reducing the chances of costly delays or setbacks.

To get the most out of AI, construction teams need to invest in the right tools and technologies. Investing in artificial intelligence also requires preparing for potential risks and ensuring that data is secure. By understanding the implications of AI on construction now, teams can plan ahead to ensure they’re ready for the future.

AI is revolutionizing the way we work in construction, but it’s important to remember that AI is not a replacement for hard work and expertise. By leveraging the power of AI, construction teams can take their projects to the next level and get ahead of potential issues or delays before they arise. With careful planning, AI can help teams achieve greater efficiency in the future.

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