The 2025 AI/ML Conference was an opportunity for the BuiltWorlds network to gather and discuss one of the hottest topics affecting the industry. The conference brought together industry leaders, innovators and technologists to discuss how artificial intelligence and machine learning are reshaping the AEC industry. From data strategy discussions to field solutions use cases, here are the key insights from the event.
Data Foundations Are Critical for AI Adoption
One of the biggest takeaways from the conference was the importance of organizations having strong data governance and infrastructure. AI models are only as good as the data they rely on, yet many AEC firms still face challenges with data silos, inconsistent formatting and interoperability. Panelists emphasized that companies must focus on clean, structured and accessible data before AI can generate meaningful insights.
The “Build vs. Buy” Debate is More Nuanced Than Ever
A hot topic was whether firms should develop AI solutions in-house or invest in third-party tools. While in-house solutions offer greater customization and control, they require significant resources and expertise. On the other hand, off-the-shelf solutions provide faster deployment and pre-built capabilities, but may not align perfectly with company workflows. Companies are increasingly taking a hybrid approach, customizing external AI solutions to fit their needs.
AI Adoption in the Field is Accelerating
AI is making significant inroads on construction sites, with companies leveraging AI for real-time jobsite monitoring, predictive analytics and safety enhancements. While the benefits are clear—increased productivity, better tracking and improved worker safety—barriers to adoption remain. The biggest challenges? Building trust with field teams and ensuring AI tools are easy to use.
Preconstruction AI is Driving Efficiency Gains
AI-powered preconstruction tools are becoming more prevalent. Optimizing design, cost estimation and risk assessment at this stage leads to further gains down the road. Solutions in this area are helping firms reduce rework, improve budget accuracy and make better early-stage decisions. As a result, AI is streamlining one of the most complex and time-consuming phases of construction.
AI in Robotics & Equipment is Becoming More Viable
The potential of construction robotics and equipment automation is expanding. Robotics and AI-driven automation are being used for site inspections, material handling and autonomous equipment operation. While cost and scalability remain key concerns, interesting conversations about the potential of this technology were abundant throughout the event.
Cybersecurity and Data Protection Are Growing Priorities
As AI adoption rises, so do concerns around data security and model integrity. A dedicated cybersecurity breakout discussion underscored the importance of protecting sensitive user data, preventing breaches and ensuring compliance. Firms are being urged by their IT departments to invest in secure digital frameworks to prevent unauthorized access and manipulation of sensitive project data.
AI Strategy Must Align with Business Goals
A recurring theme was that AI is not just a technology initiative thrown at the IT department—it must be a business strategy. Companies that successfully implement AI align the solution with their operational goals, demonstrate clear ROI and secure team member buy-in. Without a strong strategic foundation, business leaders risk AI becoming just another tech stack experiment rather than a true driver of transformation.
Conclusion
The BuiltWorlds AI/ML Conference showcased how AI is reshaping construction, engineering and design. While adoption is accelerating, firms must tackle data challenges, security concerns and integration hurdles to unlock AI’s full potential. One thing is clear: while many in the construction industry may be lagging in AI adoption, artificial intelligence and machine learning are becoming an essential tool for those looking to stay ahead and improve efficiency in their operations.
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