May 26, 2026
Artificial intelligence (AI) is increasingly shaping how transportation and infrastructure projects are planned and delivered—and how information about them is shared with the public and stakeholders. A recent CTS webinar highlighted examples in these areas, from a large-scale urban development in Finland to communications and public engagement practices among U.S. agencies.
Some transportation agencies and project teams have reported that they value AI for its ability to manage and make sense of large, complex data. Large infrastructure efforts generate massive amounts of information across design, construction, finance, safety, and public input. AI can connect and interpret this data and improve efficiency in routine tasks.
AI can also support more consistent and informed decision making. AI tools, such as project-specific knowledge networks, can make sense of scheduling risks, sustainability gaps, or recurring public concerns that might otherwise go unnoticed. These tools can improve service to the public by enabling faster responses through chatbots and translation.
Nicole Moon, strategic communications lead for engineering consultant HDR’s highways and roads division, described how AI supports transportation industry professionals in their day-to-day work. Rather than replacing human judgment, communications and public relations professionals use AI tools to draft content and streamline workflows, often improving efficiency, she said.
“Whatever day-to-day problems you have, you could probably find a way to use AI to solve it, but I would challenge people to consider whether that’s the right approach,” Moon said. “There are risks. As a communicator, I don’t want to lose the human side of what we do—that connection piece.”
To offer an international perspective, Tomi Kotala of the City of Helsinki’s public works department and Pieti Marjavaara of consulting and design firm AINS Group presented on the Infrastructure Programme Helsinki, an initiative focused on building a more sustainable city through light-rail expansion and transit-oriented development. The nearly decade-long project is set to run from 2025 through 2033.
Marjavaara introduced “Project AI,” a structured framework for integrating AI into the Infrastructure Programme Helsinki.
“First we teach people what AI is, and then we teach AI how to build in Helsinki,” Marjavaara said. He emphasized the importance of training staff in both the ethical use of AI and the practical adaptation of tools to fit project goals.
Kotala and Marjavaara both stressed that AI should be understood as part of a broader commitment to sustainable and ethical development.
“We want to be carbon aware, nature positive, and resource wise,” Kotala said. “We want to be harm-free for people and the environment, both during construction and in the final product.”
In their daily work, staff interact with a project-specific AI chatbot embedded within a broader “context sphere,” also known as a knowledge network, that draws from live Slack conversations, formal documents, task logs, and other project data. The chatbot, nicknamed “Bob,” uses this shared context to generate informed responses in its conversations with staff.
“We want to take the next step. So that’s why we are bringing AI, and, of course, we want to be responsible … [and use] it in a sustainable way and an ethical way I,” Marjavaara said. “We want everybody to be part of our AI journey.”
This webinar’s discussion built on CTS’s December 2025 webinar, Preparing Transportation Professionals for AI Integration.
—Olivia Hanson, CTS associate editor
Crossroads 