

Photo by Emilie on Unsplash
After my recent edition in which I expressly desired to appeal to a wider audience by, among other things, eschewing the use of acronyms (unsuccessfully), I am now going to offer much more parochial industry commentary on what I think should be the biggest focus for the mortgage origination business in the coming year; specifically, the costs of loan production. So why the picture of a shovel in a ditch above? One, it’s a reminder about an alleged Milton Freidman story about tools, progress, and efficiency, and two, see footnote 15 below.
Apologies in advance for those of you come here for the politics of takes about the importance of process over outcomes, the LSCR emphasis on knowing your compliant RESPA narrative, Yeats’ poetry, 1980’s movie references, Gen X pop culture (a/k/a the Greatest Generation?)[1] and other
evergreen Musings topics.[2] While this edition isn’t going to have much in terms of regulatory guidance or commentary coupled with those themes, I do have a regulatory angle at the end to “reward” my regualtory readers for hearing me out on some business advice first.
Although I’m not normally an “all the business advice you need to know in a minute” type of guy,[3] sometimes there are lessons in a good parable like the “Who Moved My Cheese” book. So, if I can be blunt, to succeed in the mortgage origination business[4] in 2026 and beyond, lenders need to stop pining for another refi wave (or other “manna from Heaven” volume gooser)[5] and figure out how to reduce the cost of production.
Cost of production
The mortgage industry proved in 2020 and 2021 (and in other refinance boom periods) that it can scale up rapidly and be very profitable when there is massive growth in volume. In my 30 years of experience in this business,[6] however, that never seems to work in the other direction. That is, when volumes decline, the industry is unable to quickly scale downward in its costs.[7] The story for nearly the last 4 years is that breaking even or losing money just to stay in business is the new normal.[8] The graph below from the MBA’s Third Quarter 2025 Quarterly Mortgage Bankers Performance Report shows how this relationship of profits to loan volume looks to people who like charts.[9]

We also learned from MBA[10] that in the 3rd quarter of 2025, total loan production expenses (commissions, compensation, occupancy, equipment, and other production expenses and corporate allocations) increased to 326 basis points, and per-loan costs increased to $11,109 per loan. Freddie Mac put that cost to originate number at $11,800/loan.[11] Of course, when you look at costs per loan it is largely a function of the denominator (volume in terms of number of
loans) because (other than originator commissions) most of the 326 basis points/$11,109 is fixed cost overhead.[12]
Lousy business since 2022
All of this points to the fact that, if my math is correct,[13] since the beginning of 2022, the mortgage business has been a lousy business to be in.[14] Roughly speaking, inflation and home price appreciation (which correlates to loan size) have been about the same over this period, but lenders, as has been the history for this industry, were largely unable to change their production processes to lower their cost structure commensurate with the decline in volume which led to these dismal 4 year results.[15]
There are lots of people talking about cost reduction being critical for the next year. Consultants like Joe Garrett and Mike McAuley have been beating this drum for years, but 4 years of funding losses or basically operating at breakeven should make mortgage company owners reconsider the urgency of the need for dramatic change. Frankly, even commissioned mortgage originators who want their company to remain viable should want to see the cost of production decline (and they might need to consider thier own role in that).
Is AI the answer?
Since there are no raw materials in making a loan,[16] almost all of the cost of production (at least for most distributed retail companies who don’t buy Super Bowl ads or stadium naming rights) is bound up in up in compensating knowledge workers and the systems they use. So, there are two primary levers to reduce costs: lower employment costs[17] and/or lower IT system costs.
As a result, in 2026, mortgage companies need to at least consider if artificial intelligence (AI) can enable scalable cost reductions in staffing and/or systems outlays.[18] Some very smart folks were predicting last year that unless you get on the AI train that you will be left at the station. There are also plenty of AI skeptics, but whether AI is another Dot-com, blockchain/crypto bubble or not, I suspect you’ll see even more smart person predictions about AI use for 2026 (highlighting how data integration is essential AI cost/benefit analysis).
I agree with Rob Chrisman about AI’s potential and the pivotal moment for the mortgage industry




