With 30% of insurance employees will reach retirement age by 2030and the rise of generative AI, including the emergence of agent systems, the insurance industry workforce is poised for major change. AI offers enormous opportunities, but recruiting and upskilling talent remains a major challenge. Insurers that can attract, upskill and retrain their employees on AI skills can realize significant benefits and efficiencies.
Accenture’s research highlights the importance of a human-led approach to AI and shows potential $17.9 trillion Difference in economic growth over the next 15 years. At our FS Industry AI symposium in London in November, most insurers were convinced by this approach and recognized it as a key strategy for driving value.
The insurance industry is particularly well-positioned to benefit from AI because the majority of working time in financial services, including insurance, involves voice or data-intensive tasks. Even in view of this Unstructured data accounts for an estimated 80-90% of all new enterprise dataIt’s no surprise that generative AI, with its human-like capabilities and ability to handle unstructured data, is already gaining widespread acceptance.
Unlocking this potential in the insurance industry requires close collaboration with the professionals who have the deepest understanding of the industry. At the moment, 36% of insurance CXOs fear that a lack of workforce skills will impact their organization’s ability to fully leverage generative AI.
Preparing employees for the age of generative AI has never been more important. In this blog, we’ll explore three strategies for taking a people-centered approach to reinvention.
1. Address employee concerns through transparent communication
While AI can handle many tasks with increasing capabilities; Human skills such as judgment, creativity, critical thinking and emotional intelligence remain irreplaceable. This is what our research revealed 55% of insurance workers are concerned about stress and burnout related to working with AI, while 50% are worried about losing their jobs. These concerns are valid, but can be overcome and must be addressed to ensure a smooth transition and maintain a motivated workforce. By highlighting how AI can improve human capabilities, companies can build trust among their employees while transforming roles and shifting insurance recruiting to a skills-based approach.
This is what we found It is estimated that only 5% of tasks performed by insurance agents are fully automated, 47% remain unchanged and the rest are expanded This will significantly improve both employee experience and productivity. For example, there are currently not enough insurers on the job market and up to 40% of a typical underwriter’s time is taken up by non-core activities and administrative tasks. If used properly, generative AI and autonomous agents could significantly improve their work by automating data analysis and providing insights, allowing underwriters to focus on more strategic and value-added activities. Likewise, customer service agents can use AI-powered chatbots to handle routine queries, allowing them to focus on more complex issues and build stronger relationships with customers. By emphasizing these complementary roles, companies can help their employees see AI as a tool that enhances their work and improves work-life balance and job satisfaction, rather than as a threat to their jobs.
2. Upskill quickly and promote a culture of continuous learning
To succeed in the age of generative AI, insurance companies must invest in robust retraining programs. The importance of this cannot be overemphasized 24% of insurance leaders say lack of access to the right skills is a major barrier to growing their business and serving their customers. This statistic underscores the urgent need for action and highlights the potential benefits of a well-prepared workforce.
Helping workers understand the changing nature of their roles is critical. Insurers should offer learning paths that are relevant to the future work environment. The employees’ appetite is there. Although 92% of workers want generative AI capabilities, Only 4% of insurers carry out retraining to the extent required. Therefore, insurers should implement comprehensive and ongoing retraining programs that are diverse and offer a mix of online and in-person training opportunities. These programs can include workshops, webinars, and hands-on training to ensure employees are equipped with the necessary skills to work with AI. For example, insurers are great at handling structured data, but by ensuring their employees are equipped with generative AI skills and tools, they can process the massive amounts of unstructured data and documents more quickly.
Partnerships with external providers can also play a critical role in these reskilling efforts. By collaborating with educational institutions, technology companies and industry experts, insurance companies can access the latest training resources and best practices. These partnerships can help create a culture of continuous learning by providing employees with a broader range of learning opportunities and ensuring training is current and relevant.
To maintain the love of learning, insurers should support colleagues who are continuing their education through sponsorship and clear recognition. Making the learning experience gamified with elements like points, badges, and leaderboards can motivate employees and help them track their progress. Platforms like Viva Engage promote a collaborative learning environment where employees can share knowledge, ask questions and support each other.
With LearnVantage, we at Accenture put our money where our mouth is
We started a year ago LearnVantageour flexible AI-powered ecosystem that supports learning and future skills. This includes the AI Academy, which offers educational sessions and in-depth learning opportunities such as: B. Nanodegree paths, certified online education programs that give you specialized skills in less time than bachelor’s and master’s degrees, and external certifications from institutions like Stanford. For example, we trained the entire management team, managers and employees S&P Global with a comprehensive AI academy.
LearnVantage is designed to support continuous learning and skill development for both human employees and AI agents. The focus is on learning in workflow and personalization, covering a wide range of topics from basic AI skills to advanced areas such as responsible AI. By collecting meaningful data, LearnVantage helps refine and improve learning experiences over time, building trust and ensuring that both humans and AI agents are well-equipped to accomplish their tasks effectively. This approach fosters a culture of curiosity and innovation and is consistent with broader AI and digital transformation initiatives.
3. How to Attract and Retain Talent in Insurance: Now and in the Future
It is critical for insurers to compete across industries for new talent in technology, security, data and AI. People ages 18 to 24 are the least likely to choose to work in the insurance industry* in the U.S., and insurance companies are losing more talent than they are hiring. With a By 2030, a workforce shortage of 10.7 million is predicted in the financial and business services sectorsAttracting and retaining talent has never been more important than it is today.
A key way to address this issue is to reformulate the Employee Value Proposition (EVP). It should highlight the positive impact of working in insurance and how it protects society, companies and individuals to appeal to determined younger generations. The EVP should also reflect the importance of innovation and skills development, particularly in new technologies such as AI. Including your EVP in your marketing strategy can help increase insurance awareness outside of traditional talent pools.
Once your EVP is redefined, it’s important to develop a solid recruiting strategy. Segment recruiting by business area and target relevant regions by creating personalized messages for specialized candidates. Integrate and test EVP elements both globally and locally and integrate them into HR processes and employer branding.
To refresh recruiting strategies, partner with universities strong in engineering, security, data, and AI to specifically recruit young talent. Leverage alumni and staff for advocacy and referrals and engage with emerging talent, including trainees and graduates.
Ensuring a seamless candidate experience is critical. With generative AI, it has become much easier to personalize and accelerate the recruiting process, keep job postings competitive, and improve candidate experiences through AI and agent architecture, making recruiting more engaging and efficient.
Finally, look for hidden workers like caregivers, veterans, and others who have a wealth of soft skills. These individuals are often overlooked or may not think they are suitable for the insurance industry.
Not just a technological change, but a cultural change
To fully embed AI into the workforce and ensure adoption of tools and practices, insurers must understand future role requirements, refine their processes to identify and develop skills gaps, and use data tools like Skills.AI to determine external and internal skills acquisition needs. Additionally, AI should also be used to conduct regular competitor analysis to further refine these hiring strategies and ensure that all offerings, including compensation structures, are relevant to the market. By driving this cultural change, together we can build an agile workforce ready to meet the ever-evolving needs and demands of the insurance industry today and tomorrow.
