For decades, the AEC industry has been talking about the talent problem.

There are not enough engineers and architects entering the profession. The middle of the bench remains particularly thin. Firms continue to struggle to find strong professionals with 10 to 15 years of experience who can lead projects, develop people, and take on greater responsibility.

None of this is new. What is changing is the nature of the problem.

Several forces are now converging in ways that could fundamentally change how AEC firms develop the next generation of leaders. For the founder or owner-CEO, the stakes extend well beyond having enough people to deliver the work. They reach all the way to the durability and eventual value of the business you have spent decades building.

The talent pool is under pressure and getting more expensive. COVID disrupted a development model that relied heavily on people learning through proximity. Now AI is providing firms with an increasingly powerful opportunity to do more work with fewer people.

For a founder trying to remain competitive, protect margins, and deliver the work in front of them, the response is rational: become more efficient.

That is also where the risk begins.

The same decisions that improve the economics of the business today could quietly weaken its ability to endure beyond its current generation of leaders and, with it, the transferable value the founder thought they were creating. If we use AI to reduce our dependence on people without intentionally protecting how those people develop judgment, we may discover years from now that we have optimized away part of the system preparing the next generation to carry the business forward.

For founders counting on the value of their firms as part of their financial future, that is not simply a talent problem.

It is a crisis of judgment.

Judgment Is the Currency

AEC firms are fundamentally experience-based businesses operating in technically complex environments. Technical knowledge creates the foundation, but experienced professionals are constantly applying that knowledge in situations where the answer is not completely obvious.

In AEC businesses, the currency is judgment.

There is no checklist that fully captures how it develops. Professionals encounter situations, make decisions, and see the consequences. They watch experienced people navigate problems and gradually begin recognizing patterns themselves. Over time, they learn where to look, what questions to ask, and when something simply does not feel right.

That judgment begins in the craft, but it compounds over the course of a career. Technical judgment becomes project judgment. Project judgment expands into client and people judgment. Eventually, decades of accumulated experience shape how the most senior leaders make decisions about the enterprise itself.

The business judgment we value in our most experienced leaders did not suddenly appear when they became principals or owners. It was built through thousands of repetitions along the way.

In a young firm, much of that judgment naturally resides in the founder. As the business matures, its durability increasingly depends on transferring that judgment into other people. A firm becomes more valuable when clients, projects, people, and consequential decisions can be carried by an organization rather than an individual.

The creation of that durability, and the value that comes with it, is what is at risk as three powerful forces converge.

Three Forces Are Converging

The first pressure is demographic.

The population of young people entering the workforce is under pressure, adding another constraint to an industry that already struggles to attract enough technical professionals. Competition for capable people is also pushing compensation higher.

For AEC firms, the economic reality is straightforward: the people they need are increasingly difficult and expensive to find.

Then COVID changed how we work.

Before 2020, much of the development model inside AEC firms happened through something resembling informal apprenticeship. Young professionals did the work while spending significant time around people who knew more than they did. They attended meetings, visited jobsites, overheard conversations, and watched experienced professionals solve problems.

Much of that learning was never called mentoring. It simply happened because people were together.

COVID disrupted that system, pushing us into a work environment where proximity became less consistent. That matters particularly in the middle of the organization. These professionals carry significant project and client responsibilities while serving as the critical bridge between generations. They are still learning from the senior people ahead of them while increasingly being asked to develop the people behind them.

A development model that relied heavily on incidental proximity now has a gap. The transfer of experience can still happen, but firms can no longer assume it will happen by default.

Then, just as firms are confronting a smaller and more expensive talent pool and a more difficult environment in which to develop people, AI arrives.

The Easy Button

In many ways, AI looks like an extraordinary solution to the pressures already facing the industry.

We cannot find enough junior people. They are increasingly expensive to hire and develop. Technology is now giving us the ability to accomplish more work with fewer of them.

The economics are compelling, and the opportunity is real. AI can eliminate repetitive work, accelerate analysis, improve productivity, and allow talented professionals to spend more time on higher-value activities. AEC firms should embrace it.

What deserves equal attention is what else may be removed along with the work.

The junior engineer performing a repetitive task was not only producing an output. That engineer was getting repetitions, discovering mistakes, and beginning to recognize patterns. In a word, they were cultivating judgment.

There is no reason to preserve low-value work simply because previous generations had to do it. The opportunity is to understand which parts of the old process were simply inefficient and which were quietly developing the experience and pattern recognition the business would need later.

AI should remove low-value work without removing the experiences that create high-value judgment.

Today’s Efficiency, Tomorrow’s Capability

This is where the pressures begin to compound.

AEC has historically developed professionals through something resembling apprenticeship. People learn the technical work, encounter increasingly difficult situations, and gradually build the pattern recognition required to exercise good judgment.

Technology now gives firms the ability to make more of that work procedural, standardized, and efficient. That is progress. Yet today’s efficiency and tomorrow’s capability are not always the same thing.

A firm can become more efficient at producing today’s work while becoming less effective at producing the experienced professionals it will need tomorrow.

Demographics put pressure on the number of people entering the system. Changes in how we work make the old development model less reliable. AI creates an increasingly attractive opportunity to need fewer people in the first place.

The response to each pressure can make complete sense in isolation. The risk emerges when we respond to each immediate need without considering what those decisions collectively mean for the future. A firm can optimize the economics of today’s work while unintentionally weakening the development of tomorrow’s craftsmen and leaders.

For the founder, that is where an industry talent issue becomes something much more personal.

From Personal Capability to Enterprise Value

If the most consequential decisions still find their way back to the founder, the organization may have more than a delegation problem. It may have a durability problem that eventually becomes a financial problem as well.

A significant portion of a founder’s net worth may be tied up in the value of the firm. That value depends on the organization’s ability to serve clients, make good decisions, and continue performing without them. If critical judgment remains concentrated in the founder, some portion of what appears to be enterprise value may actually still be personal capability.

This is the trap.

A founder can spend years making entirely rational decisions to protect cash flow, manage increasing labor costs, and use technology to become more efficient. The business may be profitable and performing better than ever. Yet if the judgment required to operate it still resides primarily in the founder, its durability beyond them may be far less certain than the financial statements suggest.

That puts more than succession at risk. It puts the founder’s nest egg at risk.

There is no easy button for that problem. You cannot wait until five years before retirement and decide it is finally time to transfer 30 years of pattern recognition. Judgment takes time to develop because experience takes time to accumulate.

We cannot transfer what we have not intentionally built in the next generation.

Investing Through the Curve

The answer is not to resist AI, recreate the office environment of 2019, or preserve inefficient work simply because it once played a role in developing people.

The opportunity is to get the full benefit of the tools available while becoming much more intentional about how judgment is built.

I think of this as investing through the curve.

It starts with context. People make better decisions when they understand where the firm is going, what it values, and what good looks like. Clarity around vision, strategy, values, and expectations does more than align an organization. It creates the context within which judgment can develop.

The second requirement is proximity. If developing professionals are no longer going to absorb judgment simply by being around experienced people five days a week, leaders need to intentionally create the exposure that once occurred more naturally.

One of the simplest principles I have been using is to never take a meeting alone. Bring someone who will eventually need to manage the client, navigate the issue, or make a similar decision. More importantly, take the time afterward to explain what you saw, what mattered, and why you made the decision you did. The meeting creates exposure. The debrief transfers the lesson.

People also need repetitions of their own. Experienced leaders will almost always be able to handle an important situation faster than the person they are developing. Developing judgment requires resisting that efficiency at times and progressively transferring responsibility so others can build the experience required to eventually carry it themselves.

AI adds one more discipline. Before automating a process, understand how that process has historically developed people. Separate the work that was simply inefficient from the experiences that created useful repetitions, exposed people to consequences, and developed pattern recognition.

Then redesign the process intentionally.

Automate what should be automated. Eliminate work that creates little developmental value. Deliberately preserve or replace the experiences through which judgment was actually being built.

There is also an opportunity to use AI itself to accelerate the development of judgment. Simulated project challenges, difficult client conversations, and consequential decisions could give rising professionals opportunities to practice discernment, receive feedback, and build pattern recognition before encountering similar situations in the real world.

The objective is not to preserve the old apprenticeship model. It is to redesign it for the business we are becoming.

The Window Is Open

The convergence facing AEC creates a powerful incentive to optimize for today. People are scarce and expensive. The traditional development model has been disrupted. AI offers a legitimate opportunity to do more with less.

The risk is not any one of those forces. It is what happens when we respond to all of them without protecting the development of judgment.

For the founder, the stakes are larger than today’s margins or staffing plan. You have spent decades building a business that may represent a significant portion of your financial future. Its value beyond you depends on having people capable of carrying the work, the clients, and the consequential decisions when you no longer do.

Building that capability takes years.

Technology can accelerate the work. It cannot accelerate decades of experience into a few years at the end of your career.

Judgment cannot be rushed, outsourced, or automated. It can only be cultivated.