The Mortgage Industry Isn’t Broken — It’s Being Rebuilt
Episode 1 | Lykken on Lending
This first installment in a three-part series challenges one of the most repeated narratives in mortgage today—that the industry is “broken.”
Drawing on decades of perspective, David Lykken reframes today’s pressures not as failure, but as the natural result of an operating model that has been pushed beyond its original design. While the legacy model was built for volume, headcount, and manual control, today’s environment demands intelligence, leverage, and speed.
This episode is not about technology—it’s about structure. Why have years of tech investment failed to materially improve outcomes? What’s the difference between modernizing versus rebuilding? And how can leaders tell if they’re solving surface issues or addressing something deeper?
This conversation establishes a critical lens for understanding the transformation already underway—and why the future of mortgage will not be built through incremental fixes, but through fundamental redesign.
The Industry Isn’t Broken—It’s Being Rebuilt
Over the past few years, I’ve used the same phrase repeatedly: the mortgage industry is broken. You hear it at conferences, in boardrooms, and across the market—broken processes, broken economics, and perhaps most concerning, broken trust.
That last point matters. Our industry has one of the weakest track records when it comes to earning repeat business from past clients.
But I want to offer a different diagnosis.
After more than five decades in this business, I don’t believe the industry is broken. I believe it’s being rebuilt.
Symptoms vs. System Failure
When people describe the mortgage industry as broken, they’re responding to real and visible pain. Closings take longer than they should. Files require repeated rework. Compliance pressure continues to mount. Burnout has become common across roles.
These are real symptoms. But symptoms alone do not define a system failure.
Systems rarely collapse overnight. More often, they outgrow the conditions they were designed for.
For decades, mortgage functioned effectively within a very different environment—one defined by manageable volume, fewer regulatory constraints, and coordination that could be handled through human memory and experience. That environment no longer exists, yet much of the system built for it remains in place.
The Real Problem: Scale and Complexity
The challenge facing the industry today is not incompetence. It is scale and complexity.
The current operating model has been stretched beyond its original design limits. As volume increased and regulatory requirements expanded, the system was forced to handle demands it was never built to support.
When leaders interpret this strain as “breakage,” the natural response is to attempt repairs. But repairing a system that has outgrown its design does not resolve the underlying issue.
What is required is not fixing. It is rebuilding.
And those are fundamentally different paths.
Why Technology Didn’t Fix It
Over the past two decades, the industry has invested heavily in technology. Loan origination systems, automation tools, point solutions, and dashboards have all been introduced with the expectation of improving efficiency and outcomes.
Yet the results have fallen short of expectations.
The reason is structural. Most technology has been layered onto existing workflows rather than rethinking those workflows entirely. Individual tasks were automated, but orchestration, judgment, and follow-through remained dependent on human effort.
Technology supported the process, but it did not redefine it.
Humans Became the Glue
The result is a system in which humans carry the burden of coordination.
A typical day for a loan officer illustrates this clearly. Multiple systems must be monitored simultaneously. Conditions are reviewed manually. Communication is handled across fragmented channels. Follow-ups are tracked through memory, notes, or inboxes.
In this model, technology informs the human, but it does not relieve the human.
Responsibility remains fragmented, and as complexity increases, humans become the connective tissue holding the system together. That approach can function under limited pressure, but it does not scale.
Eventually, the strain exceeds what individuals can manage.
AI: Tool vs. Infrastructure
This context brings us to artificial intelligence, a term that is widely used but often misunderstood.
Most people still think of AI as a tool—something discrete that is opened, used, and then set aside. But what is emerging within mortgage is fundamentally different. AI is beginning to function as infrastructure.
Infrastructure does not wait for instruction. It operates continuously, embedded within the system itself.
In this model, a system can review a loan file as it is being built, identify missing data before it becomes a condition, surface potential guideline conflicts early, and guide the next step in the process without requiring manual intervention.
This is not about replacing human roles. It is about removing the need for humans to manually orchestrate work that should be managed systematically.
What “Rebuilding” Actually Means
Rebuilding begins with a shift in where intelligence resides.
In the legacy model, intelligence lives in people’s heads. Experience, memory, and individual judgment drive the process forward.
In a rebuilt model, intelligence is embedded within the workflow itself.
This shift changes the nature of the work. Instead of relying on individuals to check rules, chase conditions, and coordinate steps, the system takes on those responsibilities. It guides the process, validates inputs, and anticipates what comes next.
Rebuilding is not about accelerating the same activities. It is about redefining which activities should exist in the first place.
The New Role of Humans
As the system evolves, the role of humans evolves with it.
Human effort moves toward areas where it adds the most value—judgment, relationships, and decision-making. These are the domains where nuance, trust, and context matter most.
At the same time, the system assumes responsibility for consistency, recall, and orchestration. These are areas where technology can perform more reliably and at greater scale.
This is the structural shift underway across the industry.
Patching vs. Rebuilding
This leads to a simple but important question.
When you look at the changes happening around you, are you witnessing rebuilding or patching?
Adding tools can feel like progress. It creates activity and signals investment. But without structural change, it often reinforces the existing model rather than transforming it.
Rebuilding, by contrast, requires confronting how the system actually works and making changes that may feel uncomfortable in the short term. It demands a willingness to rethink assumptions and redesign processes at a foundational level.
Only one of these approaches leads to meaningful, lasting improvement.
What to Watch Next
In the next episode, we will look more closely at what a rebuilt operating model actually looks like in practice.
Until then, pay attention.
Pay attention to who is rebuilding, and who is still patching.