The insurance industry's persistent talent crunch goes far deeper than a hiring gap – it's also becoming a knowledge gap, as the accumulated judgment of a workforce built over decades retires faster than it can be replaced.
By the end of 2026, the U.S. Bureau of Labor Statistics estimates roughly 400,000 insurance professionals will have retired in the last half-decade alone. Today's average insurance employee is in their mid-40s to mid-50s, depending on the line of business. One in four underwriters is already over 50, and less than a quarter of our workforce is under 35.
Turnover has climbed from a historical 8-9% to 12-15% industry-wide. Even with a nearly unprecedented 14 months of workforce reductions, as insurance economist Dr. Robert Hartwig has noted, the sector's 3.3% unemployment rate is still far below the national average of 4.4%.
And that's just the demographic aspect to the story. The bigger issues are what insurers lose when long-tenured experts retire - and what we're doing right now to fill the talent pipeline with future innovators and leaders.
The Industry's Best-Kept Secret Was Its On-Ramp
Ask almost any insurance executive how they got their start, and you'll hear some version of the same story. They largely majored in something other than RMI (risk management/insurance) as undergrads. They came to insurance in an entry-level position – a junior-level claims processing role, a customer service line, or an underwriting support seat.
The pay was good but not great, and the title wasn't impressive. But this was accepted as part of the bargain for landing a job that taught them how the business actually worked in a field that offered tremendous stability and growth opportunities.
They learned how a policy is priced by experiencing the underwriting and pricing process in real-time.
They learned how a claim goes sideways by handling complex claims.
Over years, that ground-level exposure became accumulated knowledge, which in turn became true expertise and leadership.
This story isn't merely an exercise in nostalgia; it's the operating model that built our industry's immense knowledge base.
Insurance knowledge has never been something learned just from a textbook. It's acquired by doing the scut-work long enough to understand why the rules exist. This is the foundation for valuable context that later empowers people to spot the exception, catch the fraud, or make the call a model won't – or can't.
It also happens to be one of the industry's most reliable recruiting advantages.
Nevertheless, insurance has struggled for years with a perception problem. Nearly one-third of the global population is Gen Z (birth years 1995-2012, per Pew Research), yet 79% of respondents in this age cohort say they've never considered working in insurance because it looks boring or overly corporate, according to a 2025 Cake & Arrow survey.
Beyond this, insurance is marketed in such a way that it's either an abstraction (or worse, the bill their parents complain about bitterly). The best we can hope for is that kids who are not old enough to drive are able to embrace and internalize geckos, "Mayhem," and "Bibberty" as past generations learned to recognize Mickey Mouse or Joe Camel in their pre-literate phases.
The insurance career on-ramp – the promise that you can enter the field without an advanced finance degree and build a real career in an essential, thriving industry that's focused on the future – is one of insurance's strongest attractions as a career destination. Dismantling this at precisely the moment we need it most would be a catastrophic mistake.
Where AI Actually Helps, and Where It Quietly Doesn't
This is not an argument against AI. Applied strategically, AI eliminates repetitive, low-value work (data entry, document review, first-pass triage, routine correspondence) that used to take hours or days. Agentic AI is proving useful for executing entire multi-step processes, like claims intake or policy servicing, without a person managing every stage. This efficiency creates a higher standard of service and customer satisfaction.
But there's a vast difference between using AI to remove drudgery and AI inadvertently undermining insurance's "farm system," the roles in which fledgling insurance experts build knowledge and wisdom. Companies eliminating entry-level claims or underwriting support positions to fatten margins as AI scales to handle the volume aren't merely cutting costs. They're turning off the talent pipeline that credentialed underwriters and licensed adjusters flow through.
Industry hiring forecasts make the stakes plain: projections show underwriting and claims roles shrinking even as demand grows for developers, actuaries, InfoSec specialists, and data scientists. But those burgeoning roles don't carry the state licensing and credentialing requirements that underwriting and claims work does – which means the very entry-level positions insurers are cutting are the ones that produce the credentialed underwriters and licensed adjusters that insurance businesses (and in many states the law), require.
This creates more than a talent or experience shortfall: it potentially opens a compliance gap, since carriers need licensed, credentialed professionals to legally price and adjust risk. Underwriters typically spend years earning their Chartered Property Casualty Underwriter (CPCU) or Certified Insurance Counselor (CIC) designations, building the on-the-job experience that shapes how carriers price and structure risk.
Claims adjusters face even greater educational and regulatory hurdles: 34 states require independent adjusters to hold a license, and many additional states require staff (in-house) adjusters to be licensed as well, meaning a person cannot legally handle a claim in a majority of the US without passing state exams and meeting continuing education requirements.
Training alone does not clear that bar. Eliminating entry-level roles in which claims workers accumulate the experience and knowledge needed to earn these official designations doesn't merely remove valuable institutional memory; it endangers insurers' future ability to compete in increasingly crowded markets.
Are We Eating Our Seed Corn?
FINRA's 2026 oversight report isolated AI hallucinations as a specific compliance risk, noting the failure isn't that systems misunderstand questions – it's that they don't recognize when they don't know the answers, replacing probability with, well, "plausibility" – answers that "look" right to the untrained eye.
Some carriers have started layering additional review AI agents into the process specifically to catch these errors before they reach a human operator, and early research shows this step can cut hallucination rates meaningfully. But someone still has to know what a correct answer looks like well enough to catch what even these systems miss.
Today, those people are the ones who came up through the ranks. Tomorrow, absent this entry-level talent pool, the industry might lack adequate numbers of human experts in the loop to verify and correct AI outputs just as our industry leans harder into the technology.
If insurers de-emphasize developing talent internally and try to fill gaps by hiring experienced insurance workers from other companies, they'll be competing in a tightening market in the least cost-effective way possible.
The USBLS projects roughly 21,500 claims job openings per year over the next decade. Experienced underwriters and adjusters don't grow on trees – and the industry is shedding them faster than it's producing them.
A carrier that starves its own farm system hasn't opted out of the problem. It's locked itself into paying retail for talent that competitors are still growing at wholesale, ensuring a future of longer hiring cycles and higher salary floors.
How Insurance Leaders Can Act Today to Safeguard Their Business for the Long Haul
- Protect roles that build judgment while you automate tasks around them. View entry-level positions for what they teach, not just what they cost, and redesign them so AI absorbs the repetitive tasks while people spend more time on work that builds understanding.
- Use AI to raise the ceiling on early-career work, not lower the floor. Give newer employees tools that let them take on higher-value problems sooner, with human and AI oversight built in, rather than tools that perform the work itself for them and leave nothing to learn.
- Keep a trained human expert in the loop on every agentic workflow that matters. Regulators are already moving this direction. More than 20 states have adopted the NAIC Model Bulletin on AI Systems as of mid-2026, and examiners expect documented human oversight on high-risk decisions.
- Treat internal development as a cost strategy, not just a culture initiative. Every role built internally is one you don't have to buy at a premium in tight talent markets.
- Build succession plans ahead of the exit wave, not after it. Know which roles are at risk this year and who could be ready to step up with the right support before those seats become external searches.
AI is helping insurers work faster and more efficiently than ever. Today's leaders are responsible for recognizing when and where we should solidify and expand people's knowledge, rather than reflexively eliminating roles that have traditionally added value across the insurance lifecycle.
Sources
U.S. Bureau of Labor Statistics data, via PropertyCasualty360, "Insurance industry talent shortage is imminent," June 2025
Insurance Thought Leadership, "Insurance Industry Faces Critical Talent Shortage," May 2026
Insight Global, "Retiring Underwriters Are Creating An Insurance Talent Shortage"
Sonant, "Insurance Staffing Shortage 2026: Crisis Data & AI Solutions," April 2026
Sonant, "Insurance Agency Talent Shortage: Solutions for 2026 & Beyond"
PYMNTS, "Insurance Industry May Be Unprepared for Agentic AI Risks," 2026
Notch, "AI Hallucinations in Insurance: Risks & Fixes"
actuary.info, "Adversarial Self-Critique Rewrites AI Underwriting Governance," June 2026
Cake & Arrow, "Why Gen Z Is Ambivalent About Working in Insurance," Oct. 2025
NAIC, "State Licensing Handbook, Chapter 18: Adjusters"; ADbanker, "Insurance Adjuster Licensing Requirements by State," 2025-2026
Kore1, "Insurtech Hiring Trends 2026" (kore1.com/insurtech-hiring-2026) https://www.pewresearch.org/short-reads/2019/01/17/where-millennials-end-and-generation-z-begins/
