The commercial real estate industry spends significant effort tracking interest rates, cap rates, and construction costs. But a quieter threat carries greater long-term consequences: the mass departure of experienced professionals who take decades of practical project knowledge with them when they retire. A Wall Street Journal report suggests the industry is entering one of the largest exits of institutional knowledge in its history, expected to unfold over the next five to ten years. For real estate development, this threat is not abstract.
The pre-development phase includes site selection, cost modeling, pro forma construction, and risk assessment. Each depends heavily on judgment built through years of project experience. That judgment doesn’t transfer through onboarding documents or training sessions. It couldn’t come at a worse time. Demand for new housing, retail, and data centers isn’t pausing to accommodate a talent transition. Businesses that fail to address the knowledge gap will confront it in the middle of active project pipelines.
Replacing headcount is easy; replacing institutional knowledge isn’t. A company can hire a junior project manager to replace a retiring senior one. But it can’t easily replace what that senior manager knew internally: how a specific subcontractor performs under pressure, which site conditions in a given market tend to cause cost overruns, and how to spot early warning signs in a pro forma before they become construction-phase problems.
Usman Wajid, CEO of the pre-development platform Block and Mortar, frames the stakes. “With the boomers retiring,” he says, “how can you retain that knowledge?”
This kind of knowledge has historically lived in people, not systems. Real estate and construction businesses have been slower than industries like finance or healthcare to codify operational expertise into structured, retrievable formats. When experienced professionals retire, the next generation of project leads is often left relearning lessons that were already learned, sometimes at significant cost.
Part of the reason this knowledge has never been captured is cultural. Real estate companies have long held their data tightly, treating project histories, cost overruns, and vendor performance as competitive assets rather than shared operational knowledge. That instinct makes sense from a competitive standpoint. But it has also left companies structurally dependent on individual expertise rather than institutional systems. There’s no standard way to transfer what one project team learned to the next.
The cost of that gap shows up earliest in pre-development, the phase where decisions about whether and how to build an asset get made before significant capital is committed. Companies without a way to transfer judgment from experienced staff to newer teams tend to repeat errors at exactly the stage where mistakes are cheapest to avoid and most expensive to make.
A number of companies across real estate and construction are building technology aimed at this gap, each taking a different approach to the same underlying problem. In construction specifically, AI-powered voice tools let workers debrief naturally at the end of a shift. A digital assistant structures and logs what gets said, so institutional memory starts accumulating somewhere it can be retrieved, instead of retiring along with its owner.
Other companies are approaching the same problem from a different angle: training AI models on a firm’s own historical project data, rather than on industry-wide inputs. The premise is that a company’s past decisions, mistakes, and outcomes are themselves a dataset, and that making that dataset searchable is a more direct fix than trying to document expertise through manuals or training programs.
Wajid describes the intent as supporting human judgment rather than replacing it. “AI can let humans be a little more human,” he says, framing the goal as freeing project leads from administrative data-gathering so they can focus on the judgment-intensive work that requires real experience.
Whether any single approach becomes standard across the industry remains an open question. What’s becoming clearer is that companies that treat institutional knowledge as an asset worth deliberately preserving, rather than as a byproduct of tenure, are better positioned to manage the transition ahead.
About the Expert: Usman Wajid is founder of Block and Mortar, a pre-development platform for commercial real estate that connects developers, general contractors, lenders, and investment partners during the earliest stages of a project. The platform launched in late 2024 with an initial focus on retail and multifamily development.
This article is intended for informational purposes only and does not constitute legal, financial, or investment advice. The views and opinions expressed herein reflect those of the individuals quoted and do not represent an endorsement of any company, product, or service mentioned. Readers should conduct their own due diligence and consult qualified professionals before making any investment decisions.
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