As the construction industry embraces new technology, the focus is shifting towards “agentic AI,” a more advanced type of artificial intelligence. This technology not only processes data but can also act autonomously, potentially transforming project management, risk assessment, and resource optimization. Major companies, like Balfour Beatty and Skanska, are developing their own AI tools, while others, like Cork Howard, use vendor solutions to streamline processes. However, experts advise caution, noting that while agentic AI presents exciting possibilities, its actual capabilities are still evolving. Proper implementation and vendor selection are crucial to avoid unrealized potential and ensure a competitive advantage in the sector.
Three months into 2025, the artificial intelligence arms race is heating up in the construction sector. Major companies like Balfour Beatty from London and Sweden’s Skanska are leading the way, developing AI tools to enhance their building processes. In contrast, smaller firms, such as Cork Howard from Marietta, Georgia, are leveraging vendor solutions like “Billy the Bot” from Stampli to streamline invoice management, saving time and effort.
AI’s presence was a hot topic at the recent Engineering News-Record’s FutureTech conference, where industry leaders explored how AI can facilitate contract compliance and improve jobsite safety. As the industry shifts, a new player is emerging: agentic AI. Recognized by tech giant Nvidia as a significant evolution in AI, this technology is designed to automate complex tasks, allowing companies to operate more efficiently.
What sets agentic AI apart? Unlike traditional generative AI, which relies heavily on user prompts, agentic AI can autonomously tackle intricate problems. For instance, while a generative AI might answer specific queries, agentic AI can create a comprehensive plan based on multiple data points and user needs.
Industry experts, like Barry Mostert from Oracle and Patrick Murphy from Togal.AI, believe that agentic AI can transform the construction landscape by enhancing safety, optimizing costs, and managing risks effectively. They argue that these AI systems can function almost like employees, analyzing data and making recommendations autonomously.
However, opinions on the reliability of agentic AI are mixed. Some analysts warn of potential security issues and overhyped expectations. Despite these concerns, many acknowledge that businesses willing to adopt and integrate this technology could gain a competitive edge.
Yet, experts such as Senthil Kumar from Slate Technologies caution against rushing into the adoption of AI. They highlight the importance of having a well-thought-out strategy and oversight during implementation to avoid common pitfalls. For the best results, companies need to ensure a proper integration of human oversight with this advanced technology.
In summary, while the potential of agentic AI in construction is promising, it requires thoughtful utilization. Companies should focus on strategic integration to truly leverage the benefits of this evolving technology.
Tags: construction industry, AI technology, agentic AI, automation in construction, Balfour Beatty, Skanska
What is Agentic AI?
Agentic AI refers to artificial intelligence systems that can act independently and make decisions based on their environment. These systems learn from data and user interactions, allowing them to handle tasks without constant human input.
How does Agentic AI differ from traditional AI?
Traditional AI usually relies on explicit programming for specific tasks. In contrast, Agentic AI has the capability to learn and adapt its actions over time, making it more versatile and effective in dynamic situations.
What are some common applications of Agentic AI?
Agentic AI can be used in various fields, such as customer service chatbots that learn from conversations, personalized Marketing systems that analyze consumer behavior, and autonomous vehicles that adjust to changing road conditions.
What do builders need to know before developing Agentic AI?
Builders should understand the importance of data quality and bias, as well as the ethical implications of using AI. They should also focus on user control and transparency to build trust with end-users.
Is Agentic AI safe to use?
Like any technology, Agentic AI has risks, especially if unchecked. Developers must prioritize safety measures, conduct thorough testing, and be transparent about how the AI makes decisions to ensure user safety and confidence.