There is something that happens inside large insurance organizations that is easy to observe and hard to argue with.
Technical expertise accumulates over years, sometimes decades. The people who have it know things that cannot be quickly learned — the product complexity, the regulatory relationships, the underwriting logic, the claims nuances that separate a defensible decision from an expensive one. That knowledge is real. It was hard-won. And organizations that prize it aren't wrong to do so.
But at some point, pride in expertise stops being a competitive advantage and becomes a closed door. "We know how it's done" is a statement that can mean two very different things. It can mean: we have deep capability that outsiders underestimate. Or it can mean: the way we've always done it is the way it will be done.
Those two meanings lived comfortably together for a long time. In a stable, regulated environment where the job was consistent execution at scale, they were essentially the same thing. They are not the same thing any more.
The role has changed. The hiring criteria haven't.
My direct experience is in life insurance, which gave me a specific window into one part of a much larger and more varied industry. But the structural pattern I'm describing shows up across the sector in the data.
Insurance has one of the highest employee tenure rates in the U.S. economy. According to the Bureau of Labor Statistics, median tenure in insurance was 4.9 years as of January 2024, compared with 3.5 years across the private sector overall. That gap reflects something real: Insurance is technically complex enough that the learning curve is steep, the career pathways are well-defined, and once someone has built genuine expertise, there are good reasons to stay.
The result is an industry with deep organizational memory, strong internal culture, and — this is the part worth sitting with — a hiring logic built around selecting for people who already fit that culture. Sector experience as the primary filter isn't laziness. In a domain this technical, it looks like prudence.
The problem is that the middle manager role in a transforming insurance organization now requires something sector experience doesn't reliably build. It requires what I'd call cross-boundary judgment: the ability to synthesize signals across domains that didn't used to talk to each other, to make decisions without a clear precedent in the playbook, to manage a workforce whose skills and expectations are shifting while simultaneously absorbing a strategic pivot and maintaining execution velocity. All at once. Often with the same or reduced resources.
That is not a job description. That is a description of what transformation actually asks of the people accountable for making it happen. And it is a set of demands that years of deep sector experience — on its own — does not prepare you for. In some cases, it prepares you against it. The longer you've succeeded by applying known patterns, the harder it becomes to recognize when the pattern no longer fits.
What the wrong filter produces
Steve Jobs made a version of this argument decades ago, about the need for people who could move fluently between technical depth and human experience. George Anders developed it further in his work on what he called "jagged resumes" — candidates whose career paths crossed domains in ways that looked unconventional on paper and proved, in practice, to be exactly the flexibility that complex environments require.
Insurance has its own version of this problem, and it is structural. The sector-experience filter isn't applied by accident. It's applied because the technical complexity is real, because the regulatory environment — state-by-state in the U.S., country-by-country for global insurers — demands people who understand the stakes, and because the consequences of a bad judgment call in a regulated environment are not abstract. These are legitimate reasons to prize expertise.
But the filter is being used to solve a different problem than the one that now exists. The technical complexity of insurance hasn't disappeared. What's changed is that operating in that complexity now requires people who can also navigate conditions that have no established pattern — AI-driven workflows that are being invented in real time, workforce dynamics that have no precedent, competitive pressure from insurtechs that are unburdened by the infrastructure that makes large insurers what they are.
The sector is not short of people who know how insurance works. It is short of people who know how insurance works and can operate effectively when the rules of how it works are being rewritten around them.
Vertafore's 2023 survey found that roughly one-third of insurance professionals entered the industry from another sector. That means cross-sector pathways are already significant — the question is whether those entrants are being placed in roles where their cross-boundary capability actually gets used, or filtered past hiring managers who default to the most familiar profile.
What this costs
The talent shortage pressure is real and accelerating. Industry projections suggest approximately 400,000 workers will leave the insurance industry through attrition and retirement in the near term. That is not a diversity initiative argument. It is a pipeline arithmetic argument. The experienced cohort is aging out faster than it is being replenished, and the incoming generation has different expectations.
A 2025 survey by Young Risk Professionals found that 69% of insurance workers ages 21 to 35 believe AI will improve their workflow — but only 8.5% report being strongly encouraged to use it at work. That is not a technology gap. That is a judgment gap. The people who could help the sector absorb what is coming are already inside the building. The question is whether the organization is structured to hear them.
The hiring filter problem compounds this. If the primary selection criterion remains sector experience, the incoming talent pool shrinks precisely when the need for new capability is at its highest. And if the organizational culture treats unfamiliarity with established patterns as a disqualification, it will systematically exclude the cross-boundary judgment that transformation now requires.
The question worth asking
Insurance organizations know they need to transform. The evidence is visible everywhere: AI pilots underway, digital initiatives announced, transformation programs staffed and funded. The commitment is real.
What is less clear is whether the talent strategy is keeping pace with the transformation ambition. The sector's technical and regulatory complexity hasn't diminished — it has grown. The expertise required to navigate a multi-state regulatory environment, to underwrite complex risk, to manage claims with precision — none of that is going away. Those capabilities still matter enormously.
The question is whether organizations are also building muscle in what transformation now additionally requires: the ability to synthesize across boundaries, to act under genuine uncertainty, to lead people through conditions that have no established pattern. These are not soft skills. They are the core operating requirements of change leadership in this era — capabilities like cross-functional coalition building, decision quality under ambiguity, and the organizational readiness to absorb what AI and digitization are actually asking of the people responsible for making them work.
Are insurance organizations finding the right balance between deep sector expertise and these newer demands? Are they developing change leaders built for this era — or are they still relying on the 20th-century model of change management, which assumed that expertise plus a clear playbook was enough?
Those are the talent questions that will determine whether transformation investments produce results — or produce another round of pilots that never quite scale.
This is the first in a two-part series. Part Two examines why organizations that hire differently still struggle to deploy better judgment when they find it.
