Your underwriters are not leaving because the work is hard. They are leaving because the volume of work that does not need their judgment keeps growing, and the headcount to absorb it has not.
That shows up as longer hours, slower quote turnaround, and resignations that arrive without warning. Pay and perks do not reverse it, because the cause sits in the workload itself.
This article breaks underwriter burnout into four loads, shows how to measure each one on your own team, and explains what to fix first.
Why Are Underwriting Teams Burning Out Now?
Burnout on an underwriting desk is what happens when work piles up faster than the team grows. Two forces push in the same direction at once: a workforce that is not growing and a workforce that is aging out.
The Headcount Gap
The Q1 2026 Insurance Labor Market Study from The Jacobson Group and Aon found that P/C industry headcount grew 0.81% from January 2025 to January 2026, well below the 1.42% firms anticipated. The same study found involuntary turnover across the insurance industry rose 0.6 percentage points year over year.
Fewer people than planned are carrying the same book of business. Each desk absorbs the difference.
The Age Gap
A Vertafore survey of MGA professionals, published in February 2026, found that 67% are 44 or older and 23% are over 60. Fewer than 5% are under 28.
The sample covers MGAs, not carriers, but it shows the shape of the problem: a top-heavy team with a thin bench behind it. Every retirement moves undocumented knowledge and mentoring duty onto the mid-career people who stay.
Why Burnout Is a Load Problem
Marsh's 2026 People Risk report surveyed more than 1,000 US HR and risk professionals across industries. Of those, 36% flagged employee burnout as a pressure related to the labor shortage.
Burnout tracks load. Treating it as a resilience issue leaves the load exactly where it was.
What Are the Four Loads Behind Underwriter Burnout?
We call this diagnostic the Four-Load Burnout Check. Each load is a category of work that drains an underwriter without using their judgment, or that adds responsibility without adding capacity.
Load | What it looks like | Where to look |
|---|---|---|
Intake load | Re-keying and reformatting submission data before pricing starts | Time from submission receipt to first underwriter touch |
Chase load | Contacting brokers for information that should have arrived with the file | Number of touches per file before pricing begins |
Absorption load | Taking on a retiring colleague's unwritten rules while mentoring newer hires | Weekly hours spent answering questions only one person can answer |
Tool load | Extra screens and steps that add work, or suggestions nobody trusts | Screens opened per file and override rate on any suggestion tool |
Intake Load
Submissions arrive as PDFs, emails, and spreadsheets in different shapes. Someone has to turn each one into a consistent record before pricing can start.
When that someone is an underwriter, judgment time becomes data entry time. Our piece on why poor submission quality slows underwriting shows how the problem begins at intake.
Chase Load
A survey of 543 underwriting professionals, fielded in May 2026 and reported by Insurance Journal, found that 83% of the underwriters surveyed still spend at least 30 minutes, and up to four hours, chasing missing information from brokers on a single risk. Every respondent already used or piloted AI, so the figure describes teams with modern tooling.
Every chase interrupts the file. The underwriter pays once in the delay and again in the effort of picking the file back up.
Absorption Load
This is the load nobody schedules. A senior underwriter retires, and their appetite calls, broker history, and exception rules leave with them.
In a survey of 350 commercial and specialty P&C underwriting leaders and underwriters, only 15% said their firm has found a way to capture what its best underwriters know. The mid-career underwriters who remain rebuild those rules through trial and error while mentoring new hires. We cover the same dynamic in claims in what happens to institutional knowledge when experienced adjusters retire.
Tool Load
A tool that adds a login, a screen, or a step adds load, even when it saves time somewhere else. Underwriters also decline to lean on tools they cannot check.
In the 543-person survey above, not a single underwriter said they treat AI as a fully trusted part of how they work. A tool that asks for trust without showing its reasoning becomes one more thing to verify.
Why Do Pay and Perks Fail to Fix Underwriter Retention?
Most retention plans start with the offer, not the workload. Remote or hybrid schedules, enhanced benefits, and flexible hours rank among the top retention strategies MGAs report using today, according to the same Vertafore survey.
Those moves help. They do not touch any of the four loads.
Perks Move the Hours, Not the Work
A hybrid schedule lets an underwriter re-key a submission from home. The file takes the same effort in either place.
A raise recognizes the load. It does not remove it.
Succession Plans That Push Work Downward
The Vertafore report warns that succession planning that only shifts responsibility downward increases the risk of burnout instead of building resilience. A promotion into a retiring colleague's role, with no change in headcount or tools, is a larger load with a new title.
The mid-career underwriter now carries a bigger book, a mentoring duty, and the retiree's unwritten rules. That is absorption load stacked on every other load.
What Underwriters Say Keeps Them
In the 543-person survey, 72% said a structured AI strategy would matter to them when considering new roles. Another 69% said their company's approach to AI makes them more likely to stay.
The survey was commissioned by an underwriting software vendor, and every respondent already worked with AI. Read it as a signal about tools and workload, not as an industry benchmark.
How Do You Find Which Load Is Hurting Your Team?
Run a four-week load audit. It uses records you already have and needs no new tooling.
Run the Audit
Sample recent files for each underwriter, spread across small, mid-size, and complex risks.
Log the minutes each file spent on intake, chasing, and system switching before pricing began.
Ask each underwriter how many hours a week go to mentoring or to questions only they can answer.
Ask which tools they open per file and which suggestions they override.
Total each load per underwriter, then rank the four loads for the whole team.
Read the Results
If intake and chase load dominate, the fix sits upstream of the underwriter, at the front door of the file. If absorption load dominates, the fix is capture and protected mentoring time.
If tool load dominates, remove steps before adding any. A mixed result is normal. It sets the order of work, not the answer.
What Should Leaders Fix First?
Fix the load that removes the most non-judgment hours per underwriter, and leave every decision with the underwriter.
Remove Load Before Adding Tools
Saved time does not repair the knowledge side. Among underwriters who use AI, 51% named saved manual admin time as its main benefit, while only 21% reported improved decision quality, according to the same survey of 350 underwriting leaders and underwriters.
Intake and chase load respond to saved time. Absorption load does not. Treat them as separate projects with separate owners.
Protect Mentoring Time on the Calendar
Mid-career underwriters carry the absorption load, so give it a place in the week. Block mentoring hours and count them as core work, not overflow after the queue clears.
A retiring senior's best contribution is a recorded reason behind each exception. That record gives the next underwriter something to check against.
Keep the Underwriter as the Decision-Maker
Underwriters accept help they can check. Any tool that touches a decision should show its source and wait for approval.
A suggestion is not a decision, and an underwriter who approves it owns the result. Our article on why underwriters make inconsistent decisions explains how shared inputs and recorded reasons make that approval defensible.
How InsOps Helps
InsOps builds an insurance-trained AI that assists underwriting teams with the data work behind each file. LiLa, our insurance-trained LLM, runs inside your own environment, so PII and PHI never leave controlled infrastructure. A person reviews and validates every mapping before it is deployed.
Our Integration Gateway connects to Guidewire PolicyCenter and UnderwritingCenter, so policy and underwriting data from your source systems arrives in consistent Guidewire structures without custom engineering for each source. That cuts the system-to-system re-keying inside intake load and tool load. InsOps migrates legacy data into Guidewire and keeps it flowing in real time.
Validating broker submissions at intake and surfacing a retiring underwriter's past decisions for newer underwriters are capabilities InsOps is building toward inside LiLa. They are not shipped features today, and an underwriter reviews every suggestion and makes the final call.
If you are evaluating how to lighten underwriter workload without taking judgment away from your team, contact us to talk through what this could look like for your operation.
Frequently Asked Questions
What is underwriter burnout?
Underwriter burnout is sustained exhaustion from a workload that exceeds what a desk can handle, including work that needs no underwriting judgment. It shows up as slower turnaround, disengagement, and resignations.
Why does underwriter retention matter?
Each departure takes unwritten appetite calls and broker knowledge out of the building, and the remaining team absorbs the work. Industry headcount is growing more slowly than firms planned, so a departing underwriter is hard to backfill.
How do you reduce underwriter burnout?
Measure the four loads, then fix the largest one first. Intake and chase load respond to cleaner data and fewer follow-ups. Absorption load responds to protected mentoring time and recorded decision reasons.
What are the signs your underwriters are burning out?
Watch time to first touch on each submission, the number of files waiting on broker information, and how often mentoring gets pushed to evenings. Rising override rates on any suggestion tool also signal that underwriters have stopped trusting it.
What metrics show retention is improving?
Track non-pricing minutes per file, time to first touch, voluntary turnover, and the share of mentoring hours that stay on the calendar. Falling non-pricing minutes with stable turnaround is the clearest early signal.
How does AI assist underwriters without adding to their workload?
AI-assisted tools prepare data inside the systems underwriters already use, and a person reviews every output before it is finalized. InsOps assists with the data side today by mapping source data into Guidewire structures, with a person validating each mapping.
How long does it take to see results?
The load audit takes about four weeks. Plan on a quarter to move intake and tool load, and several quarters to move absorption load, because knowledge capture runs alongside live work.
Do pay increases fix underwriter retention?
Not on their own. Pay recognizes the load but does not change it, so the same four loads remain after the raise.