If you spend enough time around blockchain conversations in financial services, you start to notice a pattern: people talk about “tokenization” like it is one thing. It is not. It is three distinct categories of work, each with different risk profiles, different operational demands, and different paths to production. Tokenization will matter most when it stops acting like an experiment. From where I sit as Head of Institutional Finance at Ava Labs, the team building the Avala

The national home price index has become one of those gauges everybody watches even while knowing full well that real estate is local. One metro can be surging while another is rolling over, and sometimes that divergence exists within the same state. But the broader national trend right now is unmistakable. The market is weakening and continuing to weaken. Year-over-year appreciation has steadily decelerated, with really only one bright patch left in the country, the Midwest.

Q: With midterms approaching and housing affordability still a major concern, do you expect the Trump administration to step up its focus on the mortgage market? A: There’s already a noticeable push from Washington, and not just from one party. Policymakers across the aisle are trying to address affordability, which is encouraging. The recent executive actions and announcements from the Federal Housing Finance Agency are part of that effort, and they’re tackling substantive i

For much of the past century, the concept of the “starter home” served as the foundational entry point into homeownership, offering a predictable path in which households could save, purchase modestly, and gradually trade up over time. That model relied on a housing market where entry-level inventory was abundant and prices moved in relative alignment with income growth. Today, those conditions no longer hold. Home prices have persistently outpaced wages, supply remains struc

At first glance, “lender choice” sounds like an unambiguously positive development. More choice typically implies more competition resulting in better pricing and improved outcomes for borrowers. In the context of mortgage credit, however, the reality is more complex. What appears to be a straightforward modernization of credit scoring may, in practice, introduce inefficiencies, shift risk in unintended ways, and ultimately increase borrower costs. For more than two decades,

The rush to embrace and adopt artificial intelligence technology solutions to make mortgage operations faster, better and leaner has primarily focused on operational cost savings. Some lenders are entranced by the vision of the promise of reduced labor costs, increased operational efficiency, and modernization. There is also an inherent concern about competitive disadvantage as lenders see their peers adopting new AI tools where they have none. I have addressed AI regulatory

Walk through enough mortgage operations and a pattern emerges: lenders have applied automation with considerable sophistication to the tasks that needed it least, and left the moments that matter most to chance. The result is an experience that feels seamless until it suddenly doesn't. And when it breaks, it breaks at exactly the wrong time. This is not an argument against automation. Under sustained margin compression and declining origination volumes, cost discipline is not

“Friction” has quickly become the mortgage industry’s favorite word, but like most buzzwords, it risks being overused and under examined. Everyone wants to remove it, from origination to capital markets to post-closing, but few stop to ask where it actually lives or why it persists. The reality is that friction is not a singular flaw; it’s the visible output of deeper design issues. It shows up in rising costs to originate, in employee frustration, and in the quiet inefficien

For years, mortgage lenders have optimized the wrong end of the funnel. Entire operating models are built around application-to-submission ratios, pull-through rates, lock efficiency, and funding velocity. The industry has become exceptionally good at measuring what happens after a borrower is “in.” But the uncomfortable truth is this: most of the damage is already done before the application ever exists. The real leakage point -- the one that quietly drains revenue, distorts

For lenders, the most important metric is often the one they do not measure. For all the dashboards tracking pull-through, pipeline conversion, lock fallout, and funded loan volume, there is a gap at the very beginning of the mortgage funnel that continues to erode performance in ways most organizations do not fully see. That gap is application abandonment: the borrowers who start an application with intent, engage just enough to indicate demand, and then disappear before eve

For nearly anyone working in the residential mortgage industry since the mid-1980s, our industry has been shaped by a single, powerful force: the refinance cycle. Rates fell, borrowers refinanced, volumes surged, and the system reset. That pattern repeated itself as the ten-year treasury rate consistently and repetitively fell during a 40-year cycle becoming so ingrained that it came to define how lenders built their businesses, how capital flowed through the system, and how

The mortgage industry has long been defined by the paradox of being both highly standardized and deeply manual, governed by rigid guidelines yet executed through labor-intensive processes that leave ample room for inconsistency and friction. This is most evident in underwriting, where highly trained professionals sift through stacks of borrower documents (i.e., pay stubs, tax returns, bank statements) reconciling data and translating findings into conditions that drive the lo

After years as a housing economist, it becomes clear that the numbers only tell part of the housing story. On paper, it is straightforward. Prices, incomes, and interest rates interact to determine affordability. In practice, it is far more complicated because those numbers are filtered through human behavior, perception, and trust. That gap between what is true and what people believe to be true is at the crux of today’s housing market dynamics. Many borrowers are convinced

There’s a moment most mornings, when it’s just me, a cup of coffee that’s already going cold, and a screen full of loans, emails, and conversations that need to be turned into something coherent before the rest of the industry wakes up. It’s not glamorous. No one is posting about it. But that hour tells you almost everything you need to know about this market. The people still doing the work, still refining their process, still picking up the phone when it would be easier not

The mortgage process still treats key parts of homeownership as separate conversations: borrowers focus on interest rates and monthly payments, while insurance, taxes, and other costs often appear later as surprises that reshape the true cost of owning a home. Yet the economics of homeownership have shifted dramatically in recent years, and that fragmentation is becoming harder for consumers to navigate. One solution is to integrate related financial products like insurance d

For years, the mortgage industry has been talking about automation as the key to lowering costs and speeding up loan production. But when lenders start exploring where to apply technology, the instinct is almost always the same. They go straight to underwriting or post-closing. It makes sense on the surface. Underwriting is expensive. Post-closing is complex. These are large operational departments with highly trained employees, and they sit near the end of the production lin

My previous piece argued that credit underwriting in mortgage is restructuring around cashflow-native frameworks that treat repayment capacity as a distribution rather than a score. The GSEs have moved, and the capital markets are following. The logic is compelling and the direction is clear. A model is only as good as its inputs: input the wrong income or verify a job that is gone, and the shape of risk changes. The system that promised certainty now hides uncertainty. We c

By Matt Schulz For generations, homeownership has been treated as the cornerstone of the American dream: a near-automatic financial goal tied to stability, wealth building, and the promise of a white picket fence. But the economics of that assumption are shifting. Today, owning a home costs roughly 37 percent more per month than renting across major U.S. metros, a statistic that forces households to reconsider long-held beliefs about whether buying a home still makes financia

For years, the mortgage industry has talked about the need for a seamless point-of-sale experience, but the reality on the ground has been more uneven. The largest financial institutions have invested heavily in fully integrated digital platforms that can guide a borrower from application through closing with relatively little friction. Meanwhile, independent mortgage banks, credit unions, and regional lenders have often struggled to deliver the same level of digital convenie