Welcome to the second installment of our eBook series 'AI-Powered Construction Management Part 5.’ Building on the foundational concepts of analyzing stakeholder influence, interest and attitude, this eBook focuses on using visual tools—matrices and graphs—to effectively represent and interpret stakeholder dynamics. Visualizing these elements allows project managers to better understand stakeholder relationships, anticipate challenges and develop a more strategic approach to engagement.
AI is in use in construction, as both CAI's latest story and this month's news roundup attest. In the news, construction companies are using AI to cut waste and fraud, improve safety, expedite projects and manage complexity. Investment continues even as Microsoft cancels a major data center project. Some even predict 2025 will be the year AI revolutionizes construction.
You hear a lot about the potential of generative AI in construction, and in particular, field services. After a couple years of excitement what’s actually going on and what’s ahead? A panel addressed that question at the April 3rd, 2025, online summit titled "AI in Construction." Panelists shared actual experiences and perspectives on how AI is transforming on-site construction operations.
Welcome to the first chapter of our eBook series 'AI-Powered Construction Management Part 5: Stakeholders’. We dive into the complex world of stakeholder dynamics. Effective project management in construction hinges on understanding and navigating the needs, influence and expectations of various stakeholders. AI supports analysis of stakeholder power, interest and attitudes, all critical factors that shape project success.
AI for construction is in the news more often lately. Much of it is still in the realm of "potential" analysis and surveys of plans to use AI. But owners are investigating how AI can help solve specific challenges. For example, the Virginia Department of Transportation. And AI is driving actual construction, from MSOE's new building for robotics and AI, to investment in a new mammoth data center in Utah.
Welcome to the fourth and final chapter of our eBook series 'AI-Powered Construction Management Part 4’. In this final chapter, our focus turns to the integration of two foundational tools in project management: the Work Breakdown Structure (WBS) and the Organizational Breakdown Structure (OBS), specifically in relation to key deliverables.
In the news this month, stories of AI trends (of course) and of use cases, leading AI tools for construction and research. Also, reports on how people are actually using AI in their work, for example a mechanical engineer. And while solution providers are hailing agentic AI, companies are still in the experimental and skeptical phase.
Welcome to the third chapter of our eBook series 'AI-Powered Construction Management Part 4.’ As we embark on this latest chapter, our focus narrows down to a crucial aspect of construction project management: the Organization Breakdown Structure (OBS) during the construction phase. This issue will explore how AI can streamline organization and enhance efficiency in project execution.
When they first came out, OpenAI's o1 mini and o1 preview were slow and provided unnecessarily long responses. They were, in a word – annoying. Since the initial release, things have changed, and we now have access to the full o1 model (no longer in preview) and even an O1 Pro model. So what does o1 do well?
One of the big challenges facing the construction industry is the labor shortage threatening productivity. AI promises to help. One analysis finds application for AI in six key areas, while a provocative story calls for a return to the master builder. "AI has the potential to resolve the complexities of modern construction and rekindle the spirit of the master builder for a new era.”
In this next chapter, we focus on a crucial element of the pre-construction phase: the Organization Breakdown Structure (OBS). A well-planned OBS is the backbone of any project, and during pre-construction, it becomes vital to lay the groundwork for who will manage and execute the project’s various components.
One of the pitfalls of working with generative AI chatbots is the need to continuously navigate back and forth between the chat interface and a document you are working on. However, ChatGPT’s canvas feature lets you interact with and edit documents in real-time.
