Over the past year, much of the conversation around AI and knowledge management in AEC has rightly focused on technology. Generative AI platforms, AI search offering, and emerging capabilities like AI agents are transforming how firms surface and share what they know.
We’ve also spent a lot of time exploring the benefits: how AI can support emerging professionals, elevate subject matter experts, improve onboarding, streamline marketing, and accelerate learning and development, to name a few.
But one deceptively simple question from the Q&A session at the end of our KM 3.0: Connecting People to Knowledge and Expertise in the Flow of Work webinar has stayed with me:
“How is the work of AEC knowledge management teams changing because of AI?”
In many ways, that question became the organizing impulse for this issue—because KM 3.0, this new era of AI-powered knowledge management, isn’t just about technology. KM 3.0 is also about people, process, and culture, and how AI is reshaping the work of knowledge management teams.
Over the past few months, I’ve spoken with some of the most thoughtful and forward-thinking KM leaders in our community—members of Knowledge Architecture’s Research Council and others leading mature programs across firms of all sizes.
And to be clear, not everyone doing this work has “knowledge” in their title. Across the AEC industry, we see knowledge management being led by a diverse mix of roles—knowledge managers, design technology leaders, operations directors, IT leaders, marketing and communications professionals, learning and development leads, innovation strategists, practice leaders, quality assurance directors, and even CEOs.
Regardless of their title or department, what they share is a deep investment in how knowledge flows across the firm and a commitment to making it more usable, accessible, and strategic.
What follows is a synthesis of 12 key trends—emergent patterns in how the smartest KM teams are evolving their work to thrive in this new era of AI-powered knowledge management.
