Overcoming the Unspoken Barriers That Keep AEC Experts From Sharing What They Know

In the last issue of Smarter by Design, I introduced the Modern Learning Organization Pipeline — a practical, end-to-end model for turning learning opportunities into durable capability inside AEC firms. The nine steps of the pipeline move through identifying and prioritizing learning needs, designing and delivering learning experiences, unlocking just-in-time retrieval, and ultimately to measurement and continuous improvement.

At a strategic level, the logic of the pipeline is straightforward. If firms systematically capture expertise, distribute it intelligently, and reinforce it in the flow of work, they become more capable, more resilient, and less dependent on any single individual.

But models on paper are the easy part.

The road to the Modern Learning Organization runs directly through subject matter experts — through their willingness and ability to share what they know — and through the organization’s ability to help transfer and scale that knowledge.

And this is where things get interesting.

If you ask a senior architect or engineer to document what they know, record a short course, or capture best practices from a recent project, what objection would you expect to hear?

For most people, it’s the same answer. “I don’t have time.” Or, closely related, “I’m too busy.”

Picture an iceberg. The visible portion above the waterline is what gets said out loud. “I don’t have time.” “I’m too busy.”

Those are socially acceptable objections. They are real, and they matter. But they are rarely the whole story.

Beneath the waterline sit quieter forces of the iceberg— unspoken barriers to keeping experts from sharing knowledge which revolve around identity, legitimacy, confidence, cultural norms, maintenance, and trust. Questions about whether sharing knowledge will actually improve the quality of someone’s workday. Questions about whether the effort will have an impact. Questions about whether they are truly the right person to step forward. Questions about whether the system will support them or simply ask them to do more.

If we respond only to the spoken barriers of “I don’t have time” or “I’m too busy” we miss a major opportunity to overcome more deeply-seated emotional barriers to knowledge sharing.

Over the past 25 years working in knowledge management in AEC — and through countless conversations with subject matter experts, knowledge and learning leaders, CEOs, and project teams — I’ve come to see a pattern. The resistance to sharing expertise is rarely about time. It is almost always about something deeper and more emotional.

In this article, I surface seven of those unspoken barriers. More importantly, I explore what leading firms are doing to address them — through culture, partnership, process, and modern learning infrastructure.

Unspoken Barrier 1: “How Will This Improve the Quality of My Workday?”

When an experienced architect or engineer is asked to formalize their expertise — to create a course, document a technical standard, or capture best practices for a project type or market sector — the hesitation that follows is rarely about unwillingness. AEC professionals care deeply about their firms. They mentor generously. They answer questions thoughtfully. They invest in people.

What they are internally evaluating is something more practical:

Will this actually change the texture of my day?

They understand, intellectually, that digital knowledge sharing creates leverage. They know that courses, standards, and searchable systems can extend their expertise beyond a single conversation. What many have not experienced is a system that reliably returns that leverage to them.

Some have contributed to past knowledge initiatives through systems that were difficult to access, hard to search, or poorly maintained. They taught sessions, they uploaded documents, they participated in committees, and yet, they kept getting the same questions over and over again from emerging professionals.

So when asked again to “capture and share what you know,” they run a silent calculation: 

Will I still be answering the same foundational questions next month? Will contributing to our knowledge base meaningful reduce the fragmentation of my day? Or will this simply become another well-intentioned artifact that disappears into the archives?

Their skepticism is rational and well justified.

Recommendation: Let Early Adopters Prove the Value

What has changed in the Modern Learning Organization is not the aspiration to share knowledge, but the infrastructure (people, process, and technology) which supports knowledge distribution and retrieval. When intranet, learning management, and AI-powered search capabilities are integrated through platforms like Synthesis, knowledge becomes accessible in the flow of work. Emerging professionals can easily search the entire knowledge base, even inside videos, before escalating questions to experts. They can review foundational material asynchronously through well-designed, on-demand courses. They can arrive at conversations better prepared. And they can easily revisit course material months later.

But most experts do not embrace a vision simply because they are told it is possible. They embrace it when they see it working and when they hear about it from peers they trust.

A respected principal saying, “My team is ramping faster,” or “The baseline competence has risen,” or “I’m spending less time repeating fundamentals and more time on judgment and nuance,” carries a lot of weight. When early adopters can point to fewer repetitive questions, more prepared emerging professionals, and clearer insight into how their material is being used, the abstract promise of the Modern Learning Organization becomes reality.

You do not need to convince the entire firm at once. In fact, trying to do so often slows progress. The more effective path is to begin with the curious — the early adopters who are open to experimentation and willing to try something new. Partner with them closely. Make the process simple. Help them capture and structure their knowledge in ways that are searchable and accessible in the flow of work.

Then make the success of the early adopters visible.

Show that assignments are tracked, that learners are engaging, that feedback is surfacing what is useful and what needs refinement, and that analytics reveal how frequently their knowledge is being accessed. Prove that their knowledge is not disappearing into an archive, it is accelerating development and protecting their time by elevating the baseline knowledge of the firm.

Once experts can see that captured knowledge is actually being used — that it protects their thinking time, elevates the level of dialogue, and allows their expertise to scale — the calculation changes. Sharing knowledge doesn't feel like a donation, it feels like an investment which strengthens the organization, accelerates the development of emerging professionals, and meaningfully improves the quality of their own workday.

Unspoken Barrier 2: “It Feels Like an Extracurricular Activity.”

Even when experts believe knowledge transfer matters — even when they can see how capturing and sharing what they know could strengthen the firm over time — it often feels like something that lives just outside the core of their responsibilities. 

In most AEC firms, billable hours, client deliverables, and proposal deadlines are concrete and immediate. They are measured, tracked, and reinforced. Knowledge transfer, by contrast, is often framed as important but not urgent. It exists in the space between meetings, in the margin after project work is complete, in the hour that might be available if everything else runs smoothly. It is seldom scheduled with the same seriousness as billable work.

When work feels extracurricular, it competes with work that feels essential. And essential work always wins.

This dynamic does not arise because leaders or experts lack conviction. It arises because expectations are frequently implicit rather than explicit. If expertise transfer is not written into role definitions, discussed in performance conversations, and reflected in how time is budgeted, then even the most committed professional will hesitate. The question beneath the surface is not whether sharing knowledge is valuable, but whether it is truly part of the job.

Over time, this produces a pattern that looks admirable but is structurally fragile. A handful of committed individuals carry the effort forward, often out of personal conviction. They build courses in spare hours. They document standards between deadlines. They contribute because they believe in the mission. Relying solely on the “passion budget” of a handful of generous experts is not only unfair, it won’t scale. Heroic acts may spark progress, but cannot sustain infrastructure. 

Recommendation: Integrate Knowledge Leadership Into Senior Roles

Modern Learning Organizations approach this differently. They treat the transfer of expertise as a defining element of seniority. In the firms that are making real progress, this shift often begins at the top. When senior leaders — including CEOs — make the ask directly, it carries a different weight. More importantly, when they model the behavior themselves, it removes any ambiguity about legitimacy. 

At KTGY, for example, CEO Tricia Esser and COO John Robison personally designed and now lead ELEVATE, the firm’s leadership development program. They invest time in teaching, shaping curriculum, and standing in front of their peers and emerging leaders to share what they have learned. When they later ask other principals and experts to contribute their knowledge, they do so having already demonstrated that this work is not extracurricular, it is central. The cultural value they are modeling is unmistakable: building the capability of the firm is part of leadership.

In his book The Specialist Pipeline: Winning the War for Specialist Talent, Kent Jonasen describes a progression for high-performing individual contributors that parallels their well-known Leadership Pipeline model. Specialists advance through stages such as knowledge expert, knowledge leader, and ultimately knowledge principal. As specialists move up this path, their core responsibilities explicitly expand beyond personal mastery to mentoring others, sharing expertise, and helping the organization capture and develop its collective knowledge.

Modern Learning Organizations operate on a similar premise. Teaching, documenting, and mentoring are not extracurricular expressions of goodwill; they are visible expectations attached to advanced roles. Time is explicitly allocated for knowledge and learning management activities. Contributions are acknowledged publicly and celebrated. Performance frameworks recognize not only immediate output, but the long-term impact of building and maintaining the firm’s collective intelligence.

When that legitimacy is clear, the internal friction dissolves. Experts no longer feel as though they are stealing time from billable work; they understand that building institutional knowledge is part of how the firm remains competitive and resilient. What once felt extracurricular becomes integrated. What once felt fragile becomes sustainable.

Until that shift occurs, even the most sophisticated technology will struggle to gain traction. If knowledge transfer remains something you do “after everything else,” it will remain perpetually postponed. When it becomes embedded in the structure of roles and expectations, the expert’s narrative shifts from “I don’t have time for this” to “This is part of what I’m responsible for.” When expectations are explicit and time is protected, the barrier of being “too busy to share knowledge” begins to fall away.

Unspoken Barrier 3: “Am I Really the Expert on This Topic?”

Once questions of leverage and legitimacy begin to settle, another hesitation may emerge.

“Am I really the expert on this topic?”

Most AEC professionals are grounded in epistemic humility — a deep awareness of what one does and does not yet know. Craft disciplines reward precision, caution, and respect for complexity. The more experience someone accumulates, the more clearly they see the edge cases and exceptions.

There is an old joke that an expert is simply someone who knows a little more than you do. In practice, that often feels uncomfortably accurate. A senior engineer may have completed more projects of a given type than anyone else in the firm and still hesitate to claim authority. An architect with decades of experience will describe themselves as having merely “been around a while.” They know the limits of their knowledge. They know how much they are still learning.

Being positioned as “the expert” can therefore feel uncomfortable, even undeserved. Formalizing expertise can feel like overstepping — as though documenting one’s thinking is a declaration of mastery rather than a contribution.

The way forward is not to argue someone out of their humility. Humility is a strength in a craft profession. The task is to reframe what expertise means inside the organization.

In most firms, “expert” does not mean omniscient. It means experienced enough to articulate patterns that others have not yet seen. It means having walked through enough repetitions to notice what tends to go wrong and what tends to work. It means being far enough along the path to help someone a few steps behind you move forward with more confidence.

Recommendation: Reframe Expertise as Stewardship

One of the most effective ways to lower this barrier is to begin with conversation. Interviews are often more powerful than presentations. When knowledge and learning teams sit with subject matter experts and ask thoughtful questions — How do you approach this? What do you look for first? Where do teams typically struggle? Can you share an example from a recent project? — the pressure to perform dissolves. The expert is not asked to deliver a polished lecture. They are invited to reflect on their practice.

At LS3P, their “Expert Hours” sessions follow this exact pattern. Rather than asking senior professionals to prepare formal training materials, the firm records structured conversations — sometimes facilitated by marketing, sometimes led by peers — and captures the thinking in a way that feels natural. The format lowers the psychological bar. The expert does not have to claim authority. They simply have to talk about what they have learned.

Seeing peers engage in this process also matters. When respected colleagues document their thinking in a practical, imperfect, and accessible way, it resets the standard. Expertise becomes less about spotlight and more about stewardship.

Over time, identity begins to shift. Teaching becomes a natural extension of seniority. Sharing is about preserving craft, strengthening the firm’s collective capability, and ensuring that hard-earned insight does not disappear when one project ends or an expert moves on.

Unspoken Barrier 4: “Do I Want to Be Seen as the Expert on This Topic?”

Even when someone accepts that they are the expert on a topic, a second question could linger.

“Do I actually want to be seen as the expert on this topic?”

Visibility has consequences. Being known as the expert can feel less like recognition and more like obligation. “If I document my thinking, will every question now route through me?” “If my name becomes attached to this topic, will I become a magnet?” “Will documentation increase demand rather than distribute it?”

For professionals who are already stretched thin, this concern is primarily about self-preservation.

And yet, paradoxically, one of the most reliable ways to stop being the bottleneck is to teach.

Recommendation: Sharing What You Know Creates More Experts

Knowledge management professionals often distinguish between two forms of knowledge: tacit and explicit. 

Tacit knowledge is what lives inside an expert’s head — the accumulated instincts, judgment calls, and pattern recognition that develop over years of practice. It shows up in how someone frames a proposal strategy, reads a client’s hesitation, or anticipates a technical risk. It is powerful precisely because it is internal. As long as expertise remains tacit — residing in memory rather than shared — dependency concentrates on the expert. The organization becomes reliant on the availability of a single person rather than the ability to leverage the firm’s collective intelligence.

Explicit knowledge is different. It is knowledge that has been articulated, structured, recorded, or digitized in a way that others can retrieve and apply. When recurring patterns, best practices, standard operating procedures, and hard-earned lessons move from one person’s head into a shared and searchable system, responsibility begins to redistribute. Emerging professionals gain access to guidance before they escalate questions. Conversations become more advanced. The baseline rises.

Teaching, in this sense, is about converting tacit knowledge into explicit knowledge so that capacity can expand beyond a single individual.

The more clearly expertise is documented, the less fragile it becomes and the less the organization depends on one person’s constant availability. Sharing knowledge allows others to handle the foundational questions so that when they do reach out, they come prepared, and the dialogue operates at a higher level.

Expertise, then, is less about authority and more about stewardship. When it is preserved and shared intentionally, it distributes capability, builds resilience, and ensures that the firm’s performance does not hinge on one person’s availability and bandwidth.

Boulder Associates offers a particularly elegant example of how this can work in practice. One of their senior medical planners, Kate, developed a series of analytical tools that were widely used across the firm. As often happens, she became the person everyone depended on to explain how they worked. Instead of letting that expertise remain concentrated in one place, the knowledge and learning team introduced a simple process. Other medical planners interviewed her, studied her tools in depth, and then presented short internal “MED Talks” to their colleagues explaining how the tools worked and how they should be used.

The effect was subtle but powerful. Each presenter effectively became the internal steward of that tool — the person who understood it deeply enough to teach it. Over time, the firm moved from a single expert to a network of practitioners who could support and evolve the work. The original expert was no longer the bottleneck, and the knowledge itself became more durable because it had been articulated, shared, and practiced by others.

Unspoken Barrier 5: “I’m Not a Teacher.”

Even when experts understand the value of sharing what they know — even when they believe it would help the firm — another hesitation can surface.

“I’m not a teacher.”

This one is layered. It is humility. It is the blank page problem. It is the discomfort of being on camera. It is the feeling that knowing how to do something and knowing how to teach it are two entirely different skills.

And in many ways, they are.

Teaching well is a skill. Structuring ideas, sequencing material, designing for adult learners, editing for clarity — these do not automatically come bundled with technical expertise. A senior architect can be extraordinary in practice and still feel uncertain about how to translate that practice into something coherent and useful for others.

So the hesitation makes sense.

Left alone, many experts stall, not because they lack insight, but because they lack a starting point. They cannot visualize the final course. They do not know how to structure the material. They are unsure what good looks like, so they understandably say “I don’t have time” or "I'm too busy.”

Recommendation: Make Knowledge Sharing Easy Through Partnership

This is where Modern Learning Organizations change the model.

The expert does not need to become an instructional designer, video editor, or curriculum architect. One of the reasons we form organizations in the first place is division of labor. When knowledge transfer is treated seriously, the firm surrounds its subject matter experts with the right support.

Knowledge and learning management teams begin to operate less like administrators and more like internal journalists and media partners. They prepare interview outlines. They ask thoughtful questions. They record conversations. They transcribe and refine. They use AI to help organize themes and sequence ideas. They shape raw insight into accessible formats and create high-quality live, on-demand, and hybrid learning experiences.

The expert shares. The knowledge and learning management team packages.

Todd Henderson of Boulder Associates interviewed a healthcare expert who had very little available time. Rather than asking her to write a document or design a course, he arrived with a focused game plan. He used AI to help draft an interview script, sat with her for 25 to 30 minutes, recorded the conversation, transcribed it, and then used AI again to extract key takeaways and lessons learned. He posted the video to their Synthesis intranet and created structured knowledge assets from that short exchange. The expert invested less than half an hour. Todd invested a handful of hours. The firm gained durable, retrievable insight and he’s repeated the process with several other experts at Boulder.

At Shepley Bulfinch, Jess Purcell described in her KA Connect 2025 talk how the technology team encouraged experts to shift from lengthy written documentation — which could consume dozens or even hundreds of hours of expert time — to structured, interview-based video capture. The team handled preparation, editing, transcript cleanup, and formatting. The experts reviewed drafts, rather than constructing knowledge from scratch. The time required from subject matter experts dropped dramatically.

At Diamond Schmitt, the learning management team enabled experts to capture knowledge in the flow of work by recording job site walkthroughs with GoPros, narrating what they saw and why decisions were made. 

Andrew Trickett from Arup developed a lightweight project knowledge review process for capturing lessons learned built around a small set of focused questions asked at key points during a project. These conversations take place in the flow of work and generate insights that improve the live project while also feeding broader communities of practice. These conversations are brief, focused, and an easy ask of the experts.

Across all of these examples, the pattern is the same. The expert is not asked to design, execute, and produce the knowledge sharing on their own. They are invited to reflect and then review drafts. They are supported by people, processes, and technology that lower the friction of sharing.

Modern tools amplify this shift. Video reduces the intimidation of writing. Transcription removes the need to draft from scratch. AI helps organize ideas into coherent structures. Integrated LMS and AI-powered search ensure that even imperfect content can be retrieved precisely when needed. The economics of sharing have changed, but more importantly, the confidence barrier has softened.

When experts realize they do not have to master adult learning theory in order to share their knowledge — that they can simply show up, think aloud, and trust others to help shape the material and produce a draft for them to review — the internal resistance eases.

“I’m not a teacher” becomes “I don’t have to do this alone.”

Modern Learning Organizations don’t expect that every expert will become a polished instructor. They create an infrastructure where expertise can be translated effectively, efficiently, and even joyfully. 

Unspoken Barrier 6: “I Don’t Know How I Do What I Do.”

Even after questions of leverage, legitimacy, identity, and teaching have been addressed, a final barrier sometimes remains.

“I don’t know how I do what I do. I just do it.”

One of the most pernicious aspects of tacit knowledge — the kind that lives deep in pattern recognition, intuition, and accumulated judgment — is that experts often don’t have clean access to it themselves. Their “deep smarts” are so embedded in experience that the steps have collapsed into instinct.

They can glance at a spreadsheet and sense that something is off. They can walk a job site and immediately spot the flaw. They can sit in a client interview and understand what the client truly wants, even when it hasn’t been spoken aloud.

But ask them to explain how they knew, and the answer is often: “I don’t know. I just knew.”

This is the curse of knowledge at work. The more fluent someone becomes, the less visible their intermediate reasoning steps feel. 

So even a willing expert — someone who sees the value, feels supported, and is open to teaching — may still hesitate because they don’t understand what part of the expertise is useful and how to explain it.

Recommendation: Use Structured Interviews to Surface Deep Expertise

Dorothy Leonard, in her excellent book Critical Knowledge Transfer: Tools for Managing Your Company’s Deep Smarts, writes extensively about this phenomenon and offers practical methods for surfacing what experts cannot easily articulate. We partnered with her at KA Connect 2017 to work with several firms on structured knowledge transfer projects. (You can watch those talks here.) The central insight was simple: you rarely extract deep expertise through generic prompts. You extract it through asking for project stories.

Instead of asking, “Can you document everything you know about healthcare design?” you anchor the conversation in real events.

“I’ve heard from your colleagues that you’re particularly good at reading unspoken client needs.”
“Tell me about a project where that happened.”
“What did you notice first?”
“What questions did you ask?”
“How did you know to pursue that line of inquiry?”
“What happened next?”

The interviewer stays curious. They slow the expert down. They ask why. They ask how. They ask for specifics. They probe for decision points. They surface pattern recognition by walking through lived experience.

It’s even better when the interviewer doesn’t know much about the interviewee’s expertise.

Andrew Trickett from Arup spoke about intentionally playing the “naive interviewer,” asking experts to clarify acronyms, jargon, and shorthand — not to embarrass them, but to surface assumptions on behalf of the emerging professional who will one day rely on that knowledge.

At LS3P, marketing team members interview subject matter experts for their Expert Hours series. The interviewer often does not share the same technical specialization, which becomes a strength. The naive question — “Can you slow down and explain that?” — is precisely what makes the final product usable.

Sometimes the interviewer is an emerging professional. The learning happens in two directions: the junior team member deepens their understanding through inquiry, and the firm captures insight that would otherwise remain invisible because they bravely ask naive questions .

Across these examples, the pattern holds.

Experts are not asked to conjure their brilliance from scratch. They are asked to revisit real work, in detail, with someone skilled enough — and humble enough — to ask better questions.

When knowledge and learning teams act as careful listeners and thoughtful interviewers, tacit knowledge begins to surface. What felt like magic reveals its structure. What felt instinctive reveals its patterns.

And the expert discovers something important — they do actually know how they do what they do. It simply needed to be drawn out through conversation.

Unspoken Barrier 7: “How Will This Content Be Maintained?”

For some experts — particularly in fast-moving technical domains — the hesitation is less about sharing and more about stewardship.

“How will this content be maintained?”

Technology evolves quickly. Standards shift. Tools update. Best practices mature. An expert may be willing to capture what they know today and still worry that by the time it is published, parts of it will already be outdated.

And in the era of powerful AI retrieval, that concern sharpens. If everything is searchable, then everything is retrievable — including what is no longer correct.

So the question becomes not whether knowledge should be captured, but how it will be tended after it’s captured.

Recommendation: Build Knowledge Flywheels 

Modern Learning Organizations address the maintenance challenge by designing knowledge systems that continuously improve themselves. Rather than treating captured knowledge as static artifacts, they build feedback loops that reveal what is being used, what needs refinement, and where knowledge gaps remain.

These feedback loops create what can be thought of as knowledge flywheels — systems where usage generates insight, insight drives improvement, and improvement increases the value of the system.

Synthesis LMS provides a clear example. When professionals complete a course, they can provide both qualitative and quantitative feedback on the experience: whether the material was useful, whether it clarified the topic, what could be improved, and where confusion remains. That feedback gives instructors and the knowledge and learning management team a focused signal about what to refine. Courses improve. As the learning experience improves, engagement rises, generating more feedback and further refinement.

Synthesis AI Search creates a similar loop. When professionals search for answers, rate the results they receive, or flag gaps in available knowledge, those signals reveal which topics matter most and where the knowledge foundation needs attention. Instead of guessing what to maintain, the firm can see what knowledge is actually relied upon.

Just as importantly, those insights make stewardship conversations far easier. Knowledge and learning management teams can approach subject matter experts with concrete evidence: twenty people searched for this topic last month; several ran into this page and flagged that it is outdated; this question keeps surfacing in AI search conversations. The discussion shifts from a vague request to “keep things updated” to a focused conversation grounded in real demand. Experts are not being asked to maintain everything. They are being invited to improve the knowledge that their colleagues are actively trying to use.

As AI-powered Synthesis Knowledge Agents begin to assist professionals directly inside their workflows, the same dynamic will apply. Conversations with agents generate feedback about where responses were helpful and where they fell short. That feedback can then be used to improve both the agent’s configuration and the knowledge it draws from.

Across learning systems, search systems, and AI assistants, the underlying principle is the same: usage creates signals, signals guide improvement, and improvement increases value. The system becomes a living infrastructure that evolves over time.

When experts understand the knowledge they contribute will not simply sit unchanged in an archive — but will instead participate in a continuous cycle of feedback and refinement — the maintenance concern softens. They are not creating a static artifact destined to age poorly. They are contributing to a knowledge infrastructure which has been designed to continuously improve.

The New Social Contract Between Experts and Modern Learning Organizations

We are living through a platform shift, and platform shifts always renegotiate expectations.

For years, the implicit contract between many AEC firms and their experts was built on good intentions and fragile infrastructure. Senior professionals were encouraged to share what they knew because it was the right thing to do. They were asked to write it down themselves, to figure out how to structure it, to carve out time between billable demands, and to trust that someone might someday benefit from the effort. There was rarely structural support. Distribution was inconsistent. Search and retrieval were unreliable. Content was difficult to find when it was needed, and even harder to revisit for reinforcement or recall after the initial training moment. There was almost never a guarantee that captured knowledge would meaningfully reduce interruptions or improve performance.

Under those conditions, hesitation or reluctance to share wasn’t selfish. It was rational.

Many of the unspoken barriers we’ve explored — doubts about personal benefit, discomfort with visibility, uncertainty about teaching, difficulty articulating tacit judgment, skepticism about impact — were responses to a system that placed the entire burden of knowledge transfer on the individual expert.

The answer cannot be to simply ask experts to work harder. That is the old industrial model of management.

A Modern Learning Organization operates on a different social contract with its experts:

Leaders Create the Conditions for Knowledge Sharing

For leaders, the new social contract with experts may be the most consequential. This is about increasing organizational leverage and designing smarter, more adaptable practices. Leaders of Modern Learning Organizations explicitly create the space for experts to share their knowledge. They reinforce cultural norms around search-first behavior. They measure whether captured knowledge changes performance. They invest in infrastructure — both technical and human — that creates, captures, distributes, retrieves, and tracks learning in the flow of work.

Knowledge and Learning Management Teams Capture and Distribute Expertise

The contract shifts for knowledge and learning teams as well. They are no longer passive custodians of content libraries. They become translators of expertise.

For many AEC firms, knowledge management lives in what you might call the “passion budget.” A few generous people squeeze it in between billable or operational work. A committee tries to keep things moving. That model got many firms surprisingly far. But as the value of well-governed knowledge rises — and as AI-powered search, learning platforms, and structured data dramatically increase the leverage of captured expertise — the work can no longer live on the margins of the organization. Modern learning organizations increasingly treat knowledge and learning management as a designed capability of the firm, supported by dedicated roles and clear ownership.

In practice, that means these teams operate like journalists or producers. They prepare thoughtful prompts, shape conversations, organize raw insight, and use technology to lower friction wherever possible. Their role is to make knowledge sharing efficient, structured, and sustainable for experts.

Learners Search First, Leverage Digital Knowledge, and Provide Feedback

The contract with experts also changes for learners. In a Modern Learning Organization, emerging professionals are not expected to rely solely on tapping the nearest expert for answers. They begin by engaging with the firm’s collective knowledge — searching first, reviewing courses, exploring internal standards, or asking knowledge agents for guidance. This search-first habit protects the focus of subject matter experts and allows learners to arrive at conversations better prepared.

Learners also play an active role in improving the system itself. They provide feedback on courses and knowledge agent responses, surface gaps in the firm’s knowledge, and share new ideas or emerging practices they encounter on the front lines. Because they are closest to the day-to-day work, they are often the first to notice when a process no longer works, when guidance has become outdated, or when new tools and approaches could improve how the firm operates. By raising those signals, learners help the organization continuously refine and expand its collective intelligence.

Experts Scale and Share Their Expertise

In this new social contract with a Modern Learning Organization, the message to experts is no longer “figure out how to share more,” but “this organization is designed to support you, scale your expertise, and help the firm create collective intelligence.”

Experts need to know they do not need to begin with a blank page, master adult learning theory, or become a polished instructor overnight. Instead, they are invited to think aloud, reflect on their practice, and describe how they approach recurring challenges. 

Knowledge and learning teams — supported by AI — will help capture, shape, and distribute those reflections into usable forms. The infrastructure ensures what they share can be retrieved when it is needed. Distribution is intentional. Search works. Courses can be assigned. Knowledge Agents can surface answers. Over time, self-service becomes a norm rather than an exception.

And when retrieval works, something magic happens. Interruptions decline. The questions that do reach experts become more advanced and more interesting. Emerging professionals arrive better prepared. Conversations deepen. The act of sharing begins to feel less like an act of generosity and more like an investment in their own leverage.

When these pieces align, the burden on the individual expert changes meaningfully. Sharing knowledge is no longer a leap of faith. It becomes part of a system designed to amplify effort rather than absorb it — strengthening the firm, supporting its leaders, scaling the expertise of its specialists, empowering learners, and enabling knowledge and learning teams to continuously improve the firm’s knowledge infrastructure.

Let’s go.