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3 key talent retention and management strategies to help insurance navigate the retirement crisis
The insurance industry is facing a talent crisis as experienced workers near retirement age without enough rising professionals to fill their shoes. This can leave firms struggling to fill roles or pass on vital institutional knowledge. However, taking a focused, strategic approach to talent retention and management inside your insurance business can help you navigate this challenging moment for the industry. Keep reading to learn more. What’s fueling the insurance industry talent crisis? The insurance industry is facing a worrying talent shortage , which has become a pressing issue for many organizations. A number of factors are at play in the current state of affairs, including: An aging U.S. workforce : A significant portion of the current workforce is nearing retirement. This includes a large percentage of the current insurance workforce. These retirements will leave a substantial gap in experience and knowledge. Continued effects of the “great resignation ”: The pandemic prompted many professionals to reevaluate their careers, leading to a wave of resignations. This has left many positions unfilled, exacerbating the talent gap. An industry perception issue : Insurance is often viewed as less exciting than other industries, including fintech or other financial services. This perception makes it challenging to attract younger talent. Compounding the issue, many employees feel that traditional career paths in insurance are limited, leading to a lack of engagement and motivation. Younger workers seek diverse experiences and growth opportunities. Emerging skills mismatch : As the industry evolves with technology, there’s a growing need for skills in AI, data analysis and digital tools . However, many insurance providers are voicing concerns over potential candidates lacking these skills, making it difficult to fill roles. Cultural and diversity gaps : The industry continues to struggle with diversity and inclusion gaps, which can deter some high-potential candidates. Companies that fail to reflect the diversity of the communities they serve may find it harder to attract new talent. In order to stay competitive in the industry, insurance companies need solid talent retention and management strategies in place to overcome these substantial obstacles. What do some key strategies look like? 1. Build a foundation for transferring knowledge Whether your organization is facing turnover or succession issues, it is critical to put strategies in place to document job duties and enhance knowledge transfer. That helps you avoid losing essential institutional knowledge to retirement and also boosts newer employees’ job satisfaction, as employees who feel they have received training and support are more likely to stay. Key steps here include: Create standard operating procedures Have clear, accessible documentation for team members that supports their job success. AIG maintains a comprehensive digital library of their standard operating procedures that is regularly updated, ensuring all employees have access to the latest procedures and job expectations. Leverage technology Use video, blogs and other technologies that allow users multiple ways to document. If available, seek to implement tools like knowledge management systems to store and update job descriptions and processes. Host regular knowledge-sharing sessions Organize workshops or lunch-and-learns where employees can share insights and best practices. Communicate to employees that these are important scheduling matters and ensure that leadership is actively participating. Liberty Mutual hosts monthly “knowledge exchange” meetings where employees present case studies or innovative solutions, promoting a culture of continuous learning. Implement feedback mechanisms Establish channels for employees to provide input on documentation, ensuring it remains relevant and useful. Progressive Insurance uses employee surveys to gather feedback on documentation processes, allowing for real-time updates and improvements based on employee experiences. 2. Create a people plan to appeal to rising talent How can you make your organization a magnet for rising talent? Consider that skilled professionals don’t just value financial compensation, but growth opportunities, flexibility and culture when choosing where to work. To stand out, your organization needs to appeal to both current and potential employees by taking action to: Highlight career growth Emphasize opportunities for advancement and skill development within the company. Lay out an employee journey map that is available to all team members. Geico showcases success stories of employees who have advanced from entry-level positions to management roles, emphasizing clear career paths. Understand flexible work environments For many organizations, local talent may not be available. Can remote work options or flexible hours appeal to different generations and demographics? MetLife offers hybrid work options, allowing employees to choose their work environment, which is particularly appealing to younger generations seeking work-life balance. Foster an engaging company culture Foster a culture that values diversity, inclusion and innovation. These concepts are necessary for attracting the widest range of talent to fill roles. Chubb promotes a diverse and inclusive workplace, hosting events that celebrate various cultures and perspectives, making it attractive to a broader talent pool. Embrace social responsibility For some segments of the workforce, showcasing the organization’s commitment to social causes or giving back to stakeholders may be important. Travelers actively participates in community service projects and sustainability initiatives, appealing to younger employees who value corporate social responsibility. 3. Lean on both technology and people when training the new generation of insurance professionals From a talent retention and management perspective, forward-thinking insurance companies will typically benefit by embracing both technology and human relationships as training tools. Consider an approach that relies on both: New tools like AI Highlight the importance of integrating AI and data analysis tools into training programs. You can use simulations and AI-driven platforms to provide hands-on experience and encourage a culture of ongoing education through online courses and workshops. A company like Allstate uses AI-driven platforms for training, allowing new employees to engage in virtual simulations that mimic real-world scenarios, enhancing their decision-making skills. Timeless mentorship programs Pair seasoned employees with new hires to facilitate knowledge sharing and practical insights. State Farm has implemented a mentorship initiative where experienced agents guide new hires through the complexities of insurance products and customer interactions, fostering a supportive learning environment. Next steps: How should insurance firms implement a smarter talent retention and management strategy? By following some of these best-in-class examples and applying these lessons to your own talent retention and workforce development efforts, you can foster an environment that is primed for growth. Remember, your employees are one of your most valuable resources — the harder you work for them, the stronger your business will be. Here’s how to get started: 1. Consult an advisor: Lean on a third-party advisory firm that understands both human capital management and the insurance industry to help you implement a smarter talent retention strategy. Your advisor will complement your internal capabilities, so your organization can evolve faster and more effectively. 2. Assess your current talent retention strategies: Working with your advisor, assess your current approach to talent management and retention with an eye on identifying areas for improvement. What are the gaps in your strategy that need to be filled? 3. Make focused improvements: Adjust your talent strategy to incorporate some of the ideas explored here, emphasizing whatever makes sense for your specific business and organizational needs. Read more 2026 insurance industry trends: AI, but make it people-first How AI helps insurance companies adapt to challenging times Building a data-driven roadmap in insurance
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AI use cases in insurance: How AI helps insurance companies adapt to challenging times
The insurance industry is facing unprecedented challenges. Changing climate and weather patterns have led to an increase in both the frequency and scale of natural disasters like wildfires, floods and hurricanes, which leaves insurers on the hook for bigger payouts than ever. To adapt, insurance companies are increasingly turning to AI for use cases like underwriting, reducing risk and tackling claims, all while managing costs. Keep reading to learn more about how AI can benefit insurance companies, plus what you’ll need to do in order to better integrate AI into your business. Why are more insurance companies looking to AI for help? For insurance companies, the cost of claims keeps going up . Spiraling wildfire claims have led many insurers to stop selling home insurance policies in some parts of California, for example, while increased flood risks have led to the same outcomes in coastal Florida. Insurers are also dealing with a retirement crisis, as a generation of experienced older staff step back from their roles without enough capable replacements available. Customer retention is an issue, too, as customers are quicker to switch policies than they were in the past. AI can’t make any of these issues go away entirely. But can it offer some relief? What are the top AI use cases for insurance companies? The most valuable AI use cases for insurance companies include smarter underwriting to reduce risks and limit costs, as well as operational efficiencies like faster claims processing and a smoother sales process. For example: 1. AI helps insurance companies reduce risk during underwriting Using AI insurance underwriting and policy pricing helps reduce the amount of risk insurers face. For example, when evaluating risk models, this might include performing an AI-powered image analysis of satellite or drone photos during the underwriting process for a homeowner’s insurance policy. Doing this could help insurers to better assess the likelihood of a wildfire occurring or model risks for flood damage, allowing for more sophisticated underwriting decisions. And for both new and existing policyholders, doing this kind of image evaluation could also create an opportunity to suggest corrective action, like clearing brush to lower the risk of fire. 2. Using AI can speed up claims processing An increase in severe weather events means more claims, which also translates into slower processing times. This is frustrating for both insurers and their customers. Insurance companies are experimenting with AI as a tool to speed up claims processing and reduce the burden on already overstretched team members. AI can help read and summarize claims for the agent handling the claim, potentially cutting down on the number of working hours needed to process them. 3. AI tools streamline the sales process AI can also help improve the sales process for both insurance providers and third-party brokers. Those who work in insurance sales sometimes say that one of the most boring, challenging parts of insurance sales is having to read through hundreds of pages of policy documents to understand the policies they’re selling. But AI can make this process easier. For example, AI might read through an insurance policy and provide a summary to sales team members, who can more quickly understand what the policy covers. Those team members would then be free to spend more of their time doing higher-level, customer-facing work. This can reduce burnout and increase job satisfaction. 4. Consumers navigating the customer journey can turn to AI for help Similarly, AI tools can help consumers better understand their insurance policies as well. If a consumer is deciding between two different policies, an AI can summarize the policies and even compare them against each other to help the consumer decide which might be a better fit. This approach can help make buying insurance less intimidating or confusing from a consumer perspective. AI can also assist customers with policy payments. And when a customer makes a claim, AI can help make sure the customer understands how the process works and what is covered. What are the major barriers to change when adopting AI? For insurance providers, creating AI wins is not as simple as just firing up Microsoft Copilot or ChatGPT. To successfully integrate AI into your business, you’ll need to overcome barriers like aversion to change, anxiety around job loss and a lack of internal AI expertise. Change-averse mindset In many cases, the single biggest challenge is actually mindset. Insurance companies are understandably risk-averse, and some have been following roughly the same business model for decades or even hundreds of years. However, to succeed at better using AI within your organization, you have to become a little more tolerant of risk. This starts with a willingness to embrace change. Have a spirit of creativity here. Consider that just because your business has always done things a certain way doesn’t mean that there’s no room to adapt or try new things. And encourage this same mindset among your team. Job-loss anxiety Here’s something you may not expect: If you want to succeed in adopting AI, you need a people-centric culture . People are afraid that AI might take their jobs — so if you want people to embrace AI, you need to make sure they feel valued and like they have room to evolve alongside your business. You’ll need to exercise your creativity and imagination to think about how you can adapt your organization to the AI era . How can you use AI to enhance or improve roles rather than getting rid of people? Carry your people along with the chance, and you’ll get much more buy-in from your team. Data quality and governance challenges Your data quality determines your AI results. If you don’t have a solid foundation for data governance and strategy, you’ll fail when trying to use AI to solve enterprise-level problems. You need to make sure that your data is clean, organized and accurate. AI will use whatever data you give it — good or bad — so it’s up to you to make sure it’s the former. Bad data increases the risk of hallucinations, inaccurate output and other risks that can cost you both money and the trust of your customers. However, implementing a data-conscious culture that prioritizes smart data usage and a clear data strategy will help minimize those risks and deliver better outcomes. Lack of internal AI expertise Because AI technology is evolving so rapidly, your internal team may not have the bandwidth to keep up with it all. This can make it harder to successfully choose and implement the AI tools that will deliver the greatest business impact. Consulting with a third-party advisor here can help. An advisor can help you assess gaps in your current systems, choose effective AI solutions and work alongside your team to implement those solutions. What are your next steps to leverage AI more effectively? Adopting AI as an effective tool for your insurance business is a process. Here are some of the key steps: Learn about AI: Before you actually start using AI, you need to understand what tools exist and how they might serve your business. This can be a good time to speak with a third-party advisor. Find pain points: Sit down with your team and identify key business problems that you could use AI to solve. These can be either internally facing or customer-facing problems, but regardless, make sure that any AI you use is meant to address a specific problem. Start with a small pilot program: Don’t try to implement AI everywhere at once. Start with a small pilot program to solve a specific problem, then learn from that as you integrate AI more broadly. Rebuild your processes and workflows: As you incorporate AI into your business, rebuild your processes from the ground up to include AI in how you work. Continue training your team: Offer ongoing professional development to educate your workforce, create buy-in and help your team learn how to use AI more effectively. This is key to long-term success. Read more Talent retention in the insurance industry: Strategies for success Building a data-driven roadmap in insurance How to approach AI in insurance like a digital leader
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2026 insurance outlook: Firms with a people-first AI strategy will outdo competitors
In 2026, the insurance industry will face a crossroads. To manage pressures like spiraling claim costs, a wave of soon-to-retire talent and a customer base that is quick to jump to competitors offering better rates, companies are increasingly looking to AI to become more agile and adaptable. This is smart — if you go about it in the right way. Firms that actually succeed in implementing AI to work more effectively will be those that use it as a tool to complement, not replace, their people. Insurers who fail to strike that balance will risk not only losing ground but even going out of business. Keep reading to learn more about the major insurance industry trends that will shape 2026 and how to better incorporate AI into your business to drive opportunities. What are the major trends and challenges for the insurance industry in 2026? Insurers in the property and casualty (P&C) or health spaces confront not just economic challenges but also a broader climate of uncertainty. Trends like increasing catastrophic weather events, spiking healthcare costs and high-dollar jury verdicts are causing claims payouts to rise, while operational issues like a major talent drain due to retirements and albatross-like legacy systems make it harder to adapt internally. Below are the five big challenges the insurance industry faces in 2026: Catastrophic events: Climate and extreme weather events continue to increase in both frequency and the dollar value of damages. This is not only costing insurance companies tens of billions in claims but also forcing firms to raise premiums and deny coverage in certain areas, which leads to blowback from regulators and customers. Healthcare costs: Healthcare costs only ever seem to go up. But the pressure has increased in recent years as popular but expensive new treatments like Ozempic become covered under more health plans. Meanwhile, inflation, Medicaid cuts and other political pressures will likely lead to rising insurance premiums as well. Social inflation: Jury verdicts in civil lawsuits have continued to rise, with some cases crossing the billion-dollar mark (although these figures are often reduced on appeal). In many cases, a defendant’s insurance company may be on the hook for some or even all of the verdict amount, making this increase a genuine concern for insurers. Retiring talent: Insurance talent is aging, with the population of insurance professionals who are 55 and older growing by 74% over the last 10 years . In little more than a decade, roughly 50% of the current insurance workforce will have retired, creating a talent vacuum and more than 400,000 open positions. Uncertainty: Health insurers are also navigating an overall climate of political and regulatory uncertainty, including changes that will result from the One Big Beautiful Bill (OBBB) Act that passed over the summer. It is not yet fully clear how the bill, which reduced funding for Medicaid and rural healthcare facilities , will affect the market for private insurers, but there will likely be ripple effects. How to overcome these challenges and move forward? Many insurers are turning to AI as a key part of the solution. AI is transforming insurance, but are companies still missing possibilities? Insurance providers want to move faster, operate more efficiently and keep their customers happy. And firms are increasingly using AI as a tool to support these aims. On both the underwriting and claims fronts, AI is helping insurance firms improve how they do business by providing better data and analytics. During the underwriting process, for example, AI can assess satellite or drone photos of a home to assess roof and general property conditions and to help model flooding or fire risk more accurately. This same analysis can also be performed for existing customers so that the insurer could suggest preventative action that could lower the risk of a future claim. These and other AI use cases are exciting. But insurers who want to go beyond what their competitors are already doing should approach AI as a tool to solve some of the sector’s most pressing talent problems: making human work more engaging and preserving fast-vanishing institutional knowledge. So what does a really effective AI strategy for insurance look like? How should insurance companies implement AI in 2026? Insurers should think about AI holistically as a tool to enhance operations throughout their whole organizations. Rather than getting caught up in AI as the next shiny thing, take the time to assess your existing processes and consider how AI and automation can help you do that work more effectively — and even more enjoyably. Here are five steps to help you better implement AI within your insurance business: 1. Make human work more interesting Many people are understandably concerned that AI could threaten their jobs. But what if it could really just make those jobs more interesting? As your company competes to stand out in the hiring market or retain existing talent , consider how AI can automate the less appealing aspects of jobs. For example, your sales team members probably prefer interacting with customers over reading through dozens of pages of underwriting details. Can you use AI to summarize those details so your team can focus on interpreting and applying the knowledge gained rather than compiling and organizing data? Ask questions here. What other routine rote tasks do your team members not like doing, and how can you leverage AI and automation to free up your people to exercise more imagination, creativity and humanity in their work? 2. Create a more appealing customer experience Just as AI can take some of the boring elements out of the work your team does, it can make life simpler for your customers, too. Gone are the days of longstanding relationships between consumers and a single insurance company; with consumers quick to jump ship based on price, insurers who make it easy for new customers to onboard will have an advantage. Consider how AI can contribute to a better customer experience. You could, for example, create an AI agent to summarize and compare different policy options for potential customers, making it simpler for them to understand what they’re signing up for. 3. Maintain institutional knowledge As thousands of experienced insurance employees head for retirement over the next several years, your firm will lose valuable institutional knowledge that cannot easily be replaced, especially given that insurance is struggling to recruit younger replacement talent. But AI can help preserve that knowledge. AI tools can learn from the wisdom of your current team, documenting and absorbing institutional knowledge that may not be getting passed down by other means. This knowledge can then be put into digital training libraries, built into your insurance risk modeling or included in analytics dashboards. Making an effort to do this can help both your younger personnel and your systems become smarter over time, helping drive more effective business decisions. 4. Upgrade holistically Many insurance companies are still using legacy systems that date back as far as the 1980s. And then those same companies are trying to add AI on top of that. Taking that approach may save a little money upfront, but you’re ultimately digging yourself into a hole. Legacy systems are simply not as adaptable as is needed to realize the full value of AI and today’s technologies, so as you begin to incorporate more AI tools into your business, think about whether now is the right opportunity to move your whole tech base into a modern, cloud-based infrastructure. Otherwise, you’re continuing to pour money into antiquated systems now in order to bolt AI on top — and will still have to replace those legacy systems in the future — and likely redesign or replace all the AI add-ons you’ve attached to it. 5. Bring in an advisor early on Engage an outside advisor to help you design and implement your AI strategy. Ideally, you should do this early on in your process so that you can lean on their experience as you move forward. An advisor can help you build the data foundation you need to benefit from AI, create an AI roadmap, and start using the AI and automation tools that fit your specific goals. Look for an advisory firm that combines deep industry knowledge, digital and organizational performance or talent management insights to help you best use AI to support your team and customers. Read more How AI helps insurance companies adapt to challenging times Talent retention in the insurance industry: Strategies for success AI checklist: Scaling AI in the mid-market
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