The insurance industry has invested heavily in technology to improve the efficiency and thoroughness of claims operations. And it’s working. AI and automation are absorbing routine tasks that once consumed adjusters’ days.
But technology can’t solve everything on its own. The work that still requires a human is getting measurably hardeInsured catastrophe losses have exceeded $100 billion for six consecutive years, per the Swiss Re Institute. But weather alone isn’t driving the complexity. Gallagher Re’s Q1 2026 Natural Catastrophe and Climate Report found that 80-90% of the nominal growth in U.S. severe convective storm losses this century stems from non-weather factors, like rising replacement costs, population growth in high-risk areas, legal system abuse, and third-party litigation funding.
Those forces show up in the adjuster’s day as attorneys applying pressure, public adjusters inflating scope, and contractors looking to maximize every claim. Those conversations require someone with enough experience and confidence to push back, and the judgment to distinguish legitimate damage from inflated.
The profession isn’t shrinking because the work is disappearing. It’s being redefined. And many training models haven’t caught up.
AI and automation have made claims processing faster and more consistent. Transcription tools capture calls in real time. Computer vision assesses property damage from photos and drone imagery. Triage algorithms route claims by complexity. Documentation that once consumed hours now happens in the background.
But it’s also exposed a gap that carriers have been slow to close. The claims that still require human attention are increasingly the ones that demand judgment, empathy, and the ability to handle adversarial situations. The assumption that technology can compensate for less experienced adjusters has limits.
Adjusters with limited field experience can be overwhelmed by the complexity that technology surfaces but cannot resolve on its own. Spotting inflated claims, pushing back on aggressive contractors and attorneys, making sound coverage decisions under pressure—those skills come from experience and deliberate development.
Deloitte’s interviews with 17 P/C chief claims officers found average adjuster attrition running around 20%, with turnover significantly higher among lower-tenure and early-career adjusters. Each departure costs roughly six years of institutional knowledge. Onboarding typically costs $8,000-$10,000 per new hire, with the majority of that going toward compliance, systems, and process training rather than judgment-based skills that determine claim outcomes, the claim officers reported to Deloitte. New-hire productivity has dropped by about 15%, and carriers that rely heavily on underprepared adjusters report indemnity payouts up to 20% higher than those with more experienced teams.
But, there’s a telling gap between awareness and action. A broader Deloitte survey found that while 90% of insurance executives acknowledge the urgency of building human skills alongside AI capabilities, only 25% had taken meaningful steps to do so.
Carriers with better retention and stronger claim outcomes tend to share a few characteristics that go beyond technology investment.
They hire for existing technical competency rather than training from scratch. Adjusters who already understand construction terminology know how to read an estimate, and those who have field exposure don’t need months of foundational instruction. What they do need, and what many carriers overlook, is business context.
When adjusters understand how their decisions affect loss ratio, combined ratio, and company performance, they make different calls than adjusters trained only to follow a playbook. They’re not trying to minimize every payout. They’re trying to assess damage accurately, apply coverage correctly, and deliver an experience that builds trust with a policyholder during one of the most stressful moments of their life.
These carriers also treat experienced adjusters as a development resource, not just a production resource. Roundtable exercises where adjusters work through difficult claims together build pattern recognition and peer knowledge transfer that no onboarding module can replicate. This isn’t complicated to implement. It simply requires protected time and a culture that treats knowledge transfer as a business priority.
The customer interaction model matters, too. Carriers that give policyholders options about which communication channel they prefer, or whether they want a field inspection or a technology-assisted assessment report, consistently outperform those that optimize for internal efficiency at the expense of customer experience. Delivering that kind of flexibility requires adjusters who are confident in their judgment and empowered to make real-time decisions, which circles back to training.
As AI absorbs more routine claims tasks, the human work will increasingly demand judgment, empathy, critical thinking, and the ability to handle confrontation without flinching. Straightforward property claims can move through automated pipelines with minimal human involvement. The claims that reach an adjuster’s desk should be the contested ones, the complex ones, those where a policyholder is distressed, a contractor is inflating the scope, or an attorney is pushing for dollars beyond the scope of damage.
Carriers that recognize this trend have a narrowing window to rethink how they invest in adjuster development. The financial case is clear. Every percentage point of attrition improvement, every policyholder who renews because the claim experience was handled well, those returns compound. Those that don’t will keep paying for it in ways that are increasingly visible in the balance sheet.
The technology investment was the easy part. Building the judgment to use it well is the work that’s left.