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
Welcome to Lykken on Lending.
Over the past few years, I’ve used the same phrase over and over again: 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.
And that last one 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 say the mortgage industry is broken, they’re usually reacting to real pain:
- Slow closings
- Constant rework
- Mounting compliance pressure
- Widespread burnout
Those symptoms are real. But they don’t necessarily mean the system has failed.
Systems don’t suddenly break—they outgrow their design.
For decades, mortgage worked remarkably well. It was built for a different environment—one with manageable volume, fewer rules, and coordination that could live in people’s heads.
Today, that environment no longer exists.
The Real Problem: Scale and Complexity
The issue isn’t incompetence. It’s that scale and complexity have overwhelmed a model that was never designed for today’s conditions.
When leaders misdiagnose this as “breakage,” they reach for quick fixes. But what’s required now isn’t fixing—it’s rebuilding.
And those are two very different paths.
Why Technology Didn’t Fix It
Over the last 20 years, this industry has invested heavily in technology:
- Loan origination systems
- Automation tools
- Point solutions
- Dashboards
Yet outcomes haven’t improved nearly as much as promised.
Why?
Because most of that technology was layered on top of existing workflows.
We automated individual tasks, but left orchestration, judgment, and follow-through with humans.
Humans Became the Glue
Think about a loan officer’s day:
Multiple systems open. Conditions checked manually. Emails sent. Follow-ups tracked in someone’s head or inbox.
Technology informed the human—but it didn’t relieve the human.
We automated tasks, but never automated responsibility.
As volume increased and rules multiplied, humans became the glue holding everything together.
And glue fails under pressure.
AI: Tool vs. Infrastructure
That brings us to AI—a term that’s everywhere, but often misunderstood.
Most people think of AI as a tool. Something you open, use, and close—like a calculator or chatbot.
But what’s emerging in mortgage is something different: AI as infrastructure.
Infrastructure doesn’t wait to be used. It operates continuously in the background.
Imagine a system that:
- Reviews a loan file as it’s being built
- Flags missing data before it becomes a condition
- Identifies guideline conflicts early
- Surfaces the next best step automatically
This isn’t about replacing people.
It’s about removing manual orchestration from work that should never have depended on memory and vigilance in the first place.
What “Rebuilding” Actually Means
So what changes when an industry is rebuilt?
It starts with relocating intelligence.
In the legacy model, intelligence lived in people’s heads.
In a rebuilt model, intelligence lives in the workflow.
That shift changes everything.
Instead of humans:
- Checking rules
- Chasing conditions
- Coordinating steps
The system:
- Guides
- Validates
- Anticipates
Rebuilding isn’t about doing the same work faster.
It’s about doing different work.
The New Role of Humans
In this new model, humans move toward:
- Judgment
- Relationships
- Decision-making
While systems handle:
- Consistency
- Recall
- Orchestration
That’s the structural shift underway.
Patching vs. Rebuilding
So here’s the question I’ll leave you with:
When you look at what’s happening around you, are you seeing rebuilding—or patching?
Adding tools feels productive.
Rebuilding structures feels uncomfortable.
But only one of those leads to meaningful change.
What to Watch Next
In the next episode, we’ll go deeper—looking inside 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.