Why Mortgage Lenders Are Still Overstaffed for 2026 Volume
Mortgage lenders have cut staff steadily through 2026, but productivity data suggests the industry still hasn't right-sized. Boston Consulting Group found sales productivity 33% below pre-pandemic levels, and MBA data shows AI-driven workflow tools are only widening the gap between headcount and demand.
Is the mortgage industry still overstaffed in 2026?
Yes, according to a Boston Consulting Group report on industry priorities. BCG found median productivity for sales staff in 2024 ran 33% below the average for the six quarters before the pandemic. Fulfillment staff productivity was down a smaller but still notable 8%. That gap matters because loan origination systems, workflow automation and AI have all improved substantially since 2020, so capacity per employee should have gone up, not down.
Why hasn't headcount caught up with lower volume?
- Many lenders staffed up in early 2026 expecting rates to fall, then held that headcount when rates climbed back toward 7% instead
- Average net production profit at independent mortgage banks fell to 25 basis points in the second quarter of 2026, down from 89 basis points at the peak in early 2021
- Average production employees per company dropped from 555 in mid-2022 to 337 in early 2026
- Total loan officers nationwide fell from a peak of 124,805 to 86,192 over the same stretch, per the Nationwide Multistate Licensing System
Marina Walsh, MBA's vice president of industry analysis, has said flat expected volume combined with heavy ongoing technology investment means employment is more likely to hold steady or shrink than grow from here.
How is AI changing the math on mortgage staffing?
AI investment is exactly why this productivity gap persists instead of closing on its own. BCG's own recommendation to lenders was to invest in AI and workflow efficiency tools specifically to avoid the "hiring whipsaws" that come from chasing every rate-driven volume swing with new headcount. Doug Harter, a mortgage and specialty finance analyst at BTIG, has pointed to the same dynamic: AI-driven efficiency gains combined with a tough rate environment tilt the risk toward fewer new hires, with any needed growth absorbed through attrition rather than new headcount.
The tools that let a smaller team handle more volume are the same tools removing the case for rebuilding a bigger team once rates eventually ease.
What should lenders do instead of another hiring cycle?
Two approaches solve the capacity-matching problem directly, without repeating the hire-then-cut pattern:
- Variable-capacity processing. Route overflow purchase-file volume to a processing partner that scales with actual pipeline instead of carrying full-time headcount sized for hoped-for volume.
- Flexible, contract-based staffing. Add fulfillment or consumer-direct capacity for a busy quarter without owning that headcount cost once volume normalizes.
FAQ
Is the mortgage industry overstaffed in 2026?
Yes. BCG data shows sales productivity 33% below pre-pandemic levels, while MBA data shows headcount per company still declining even as volume holds roughly flat.
Why are mortgage lenders still doing layoffs if volume is stable?
Margins are thin regardless of rate direction, and AI and workflow tools let most lenders process meaningfully more volume with the same staff, so headcount hasn't needed to grow.
How is AI affecting mortgage industry staffing decisions?
AI and workflow automation increase the volume each employee can handle, reducing the case for rebuilding headcount even as origination volume rises.
What's the alternative to hiring more mortgage staff for the next cycle?
Variable-capacity processing and flexible, contract-based staffing let lenders add capacity for busy periods without carrying that fixed cost through slower ones.
Building a staffing model that flexes with the cycle instead of fighting it? Contact us!