AI in Insurance: Automation as a Talent Strategy

It feels like every insurer today is being told to invest in AI insurance solutions, but with very little direction on which solutions, and where. We’ve seen most frameworks pointing to cost savings or customer experience, which is helpful in theory but doesn’t always tell the whole story. In fact, a constraint many insurers are struggling with right now isn’t budget or strategy, but talent. 

• Is there work that doesn’t require judgement? 
• Are we burning out experienced people on that work? 

When AI investments are reframed in this way, they become more of a talent strategy, rather than a tech decision. 

Why the Old Frameworks May Not Work 

Automating repetitive tasks and keeping humans in the loop are the usual solutions being presented today, but another consideration that gets overlooked is whether there are even enough humans to begin with. As core roles are becoming harder and harder to fill every year, the solution might not be all about “efficiency.”  

Insurers are struggling with the fact that most senior underwriters in North America are expected to retire within the next decade, putting pressure on institutional knowledge and continuity. At the same time, nearly half of insurance leaders say they’re already struggling to attract talent, according to Statista’s 2025 Future of Jobs Report. 

That said, the most impactful AI insurance solutions seem to be aimed at where talent is most constrained and hardest to replace. 

Automate Where Expertise Isn’t the Constraint 

Not every task deserves expert attention. We’ve noticed that the highest-impact AI insurance solutions are the ones that don’t require experience, but still take the load off your most experienced people. That can include things like: 

• routing incoming claims 
• classifying documents 
• pulling together data from multiple systems 
• sending customer updates 
• early-stage risk flagging—letting AI surface patterns and anomalies while your underwriters focus on making the call. 

While these tasks are important and necessary, they don’t necessarily require seasoned judgement. By automating these areas, leaders are able to prioritize their experts’ time for truly strategic decision-making, while also reducing administrative drag across the organization. 

In fact, recent research from Statista shows that over 48% of global insurers have generative AI in production, signaling that automation is quickly becoming a structural part of how the industry operates. 

Protecting Judgment and Accountability

On the flip side, there’s work that should be handled with intention and discernment. This includes decisions that carry real financial, regulatory, or reputational weight, and where a human needs to stand behind the outcome. 

• Complex claims adjudications that require disputes or have potential fraud  
• Underwriting exceptions in speciality lines 
• Customer escalations in need of judgement and empathy 
• Filings and attestations that require ownership and personal accountability 

When trust is on the line, resolutions go beyond speed alone. Moving too fast can introduct more risk than reward, especially in a heavily regulated industry where expectations around human oversight are explicit. 

Where AI Insurance Solutions Assist without Replacing 

Most insurance work doesn’t sit neatly in one category or the other. There’s a middle ground where AI solutions can take on part of the load without replacing the human role entirely. Underwriters, for example, can use AI to surface risk signals faster but still make the final decision. Claims adjusters can get AI-generated settlement ranges as a starting point, then negotiate based on real-world context. Compliance teams can use AI to flag policy language issues but still review and approve changes themselves. This is where you start to see the best of both worlds: faster workflows without sacrificing expertise. 

Another hesitation is that some leaders assume their workforce won’t adopt the technology. But recent research from the World Economic Forum suggests that concern is overstated—only a small portion of older workers report struggling significantly with new technology, and the vast majority of employers are already prioritizing upskilling to support this shift.  

In fact, according to the WEF’s Future of Jobs Report, 85% of employers plan to prioritize workforce upskilling, with half planning to transition staff from declining roles into growing ones. So while concerns around adoption are real, your people might be more ready than you might think. 

The Right Solution for Your Organization 

When reevaluating your automation strategy, this simple set of questions can serve as a helpful launching pad: 

• Can we hire or train for this role fast enough? If not, that’s a strong candidate for automation. 
• Does this work rely on institutional knowledge or nuanced judgment? If yes, it likely needs a human in the loop.  
• What’s the cost of getting this wrong? High-cost errors should stay human-led.  
• Would a regulator or customer expect a person to be involved? If the answer is yes, don’t remove them. 

This kind of filter can help you focus on the most impactful opportunities, because the reality is most organizations don’t have the luxury of scaling talent as quickly as demand is growing.  

According to that same World Economic Forum’s Future of Jobs research, 70% of employers expect they’ll need to hire for new skills, while nearly half anticipate ongoing talent shortages—especially in industries like financial services and insurance. While industry pressure might imply otherwise, your automation roadmap should also be aligned with how you’re going to support, extend, and protect your workforce. 

Protecting Your Workforce 

The conversation around AI in insurance often centers on replacement, but that framing is a bit outdated now. The most effective AI insurance solutions protect your experts and help you stretch limited talent further without compromising quality or oversight. 

And in a labor market that’s rapidly evolving, this matters more than ever. The World Economic Forum estimates that 22% of today’s jobs will change over the next several years, with both disruption and net growth happening at the same time. 

From what we’ve seen, our most successful partners are the ones who choose AI insurance solutions with intention—starting with their biggest talent constraints and building from there. Connect with our experts to see where automation could fit into your talent strategy.