and By 2030, 30% of insurance employees will reach retirement ageand the rise of generative artificial intelligence, including the emergence of agent systems, the insurance industry’s workforce is about to undergo a major transformation. Artificial intelligence brings huge opportunities, but recruiting and upskilling talent remain significant challenges. Insurers that can attract, advance and retrain their employees to become proficient in AI will reap significant benefits and efficiencies.
Accenture research highlights the importance of a human-led approach to AI, highlighting the potential of AI $17.9 trillion The difference in economic growth over the next 15 years. At a November seminar on artificial intelligence for the financial services industry in London, most of the participating insurers were committed to this approach and saw it as a key strategy for extending value.
The insurance industry is particularly well-positioned to benefit from AI, as much of the workday in financial services, including insurance, involves language-rich or data-intensive tasks. Additionally, given Unstructured data is estimated to account for 80-90% of all new enterprise dataNot surprisingly, generative AI has seen widespread adoption due to its human-like capabilities and proficiency in handling unstructured data.
Unleashing this potential in the insurance industry requires working closely with the professionals who have the deepest understanding of the work. Now, 36% of insurance CXOs Concerns that a lack of worker skills will hinder their organization’s ability to take full advantage of 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 human-centered reinvention approach.
1. Address worker concerns through transparent communication
Although artificial intelligence can handle many tasks and the level of capabilities continues to improve; human skills such as judgment, creativity, critical thinking and emotional intelligence are still irreplaceable. Our research shows 55% of insurance workers are concerned about the stress and burnout caused by working with artificial intelligence, while 50% are worried about job replacement. These concerns are legitimate but surmountable and must be addressed to ensure a smooth transition and keep employees motivated. By emphasizing how AI can augment human capabilities, organizations can build trust and confidence among employees while transforming roles in the insurance industry and shifting recruitment toward a skills-based approach.
we found Only 5% of tasks performed by insurance sales agents are expected to be fully automated, 47% will remain the same and the remainder will be enhanced This will significantly improve employee experience and productivity. For example, there are currently an insufficient number of underwriters in the labor market, at best The typical underwriter spends 40% of his or her time on non-core activities and administrative tasks. If leveraged correctly, generative AI and autonomous agents can significantly enhance their work by automating data analysis and providing insights, which will allow underwriters to focus on more strategic and value-added activities. Likewise, customer service representatives can use AI-powered chatbots to handle routine queries, allowing them to resolve more complex issues and build stronger relationships with customers. By emphasizing these complementary roles, companies can help employees see AI as a work-enhancing tool that improves work-life balance and job satisfaction, rather than a threat to their jobs.
2. Re-skill quickly and develop a culture of continuous learning
To thrive in the era of generative AI, insurance companies must invest in robust reskilling programs. The importance of this cannot be overstated because 24% of insurance leaders believe a lack of 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 employees understand the changing nature of their roles is critical. Insurers should provide learning pathways relevant to the future work environment. The employee appetite is there. Even though 92% of employees want generative AI skills, Only 4% of insurance companies retrain at the required scale. Therefore, insurance companies should implement comprehensive, ongoing, multifaceted retraining programs that provide online and in-person training opportunities. These programs can include workshops, webinars, and hands-on training sessions to ensure employees have the skills they need to work with AI. For example, insurance companies are good at processing structured data, but by ensuring their employees are equipped with generative AI skills and tools, they will be able to process large volumes of unstructured data and documents at a much higher speed.
Partnerships with external providers can also play a vital role in these reskilling efforts. By partnering with educational institutions, technology companies and industry experts, insurers have access to the latest training resources and best practices. These partnerships can help create a culture of continuous learning by providing wider learning opportunities for employees and ensuring training is up to date and relevant.
To keep the love of learning alive, insurance companies should offer sponsorship and clear recognition to colleagues who are reskilling. Gamifying the learning experience with elements like points, badges, and leaderboards can motivate employees and help track their progress. Platforms like Viva Engage create a collaborative learning environment where employees can share knowledge, ask questions, and support each other.
With LearnVantage, at Accenture we walk the talk
A year ago, we launched Learning Advantagesour flexible AI ecosystem designed to support learning and future skills. These include the Artificial Intelligence Academy, which offers educational courses and deeper learning opportunities such as nanodegree pathways, accredited online education programs that teach professional skills in less time than bachelor’s and master’s degrees, and external accreditation from institutions such as Stanford University. For example, we trained our entire executive team, leaders, and employees S&P Global It has a comprehensive artificial intelligence academy.
LearnVantage is designed to support continuous learning and skill development for both human employees and AI agents. It emphasizes learning and personalization within the workflow and covers a wide range of topics from basic AI fluency to advanced areas such as responsible AI. By capturing meaningful data, LearnVantage helps refine and improve the learning experience over time, building trust and ensuring that both human and AI agents are equipped to handle tasks effectively. This approach fosters a culture of curiosity and innovation, aligned with broader AI and digital transformation initiatives.
3. How to attract and retain insurance talent: now and into the future
For insurers, competition across industries for new talent in engineering, security, data and artificial intelligence is critical. Americans aged 18-24 are the least likely to choose insurance employment*, and insurance companies are losing more talent than they are recruiting. with a Financial and business services sector projected to experience 10.7 million worker shortages by 2030attracting and retaining talent has never been more important.
An important way to solve this problem is to reframe the employee value proposition (EVP). It should highlight the positive impact of insurance industry jobs and highlight how the industry protects society, businesses and individuals to attract a purposeful younger generation. The EVP should also embody the importance of innovation and skills development, particularly in emerging technologies such as artificial intelligence. Incorporating an EVP into your marketing strategy can help build insurance awareness outside of traditional talent pools.
After reorganizing the EVP, it’s important to have a robust recruiting strategy in place. Segment recruitment by practice area and target relevant geographies to create personalized messaging for professional candidates. Integrate and test EVP elements globally and locally into HR processes and employer branding.
To refresh your recruiting strategy, partner with universities with strong expertise in engineering, security, data, and artificial intelligence for targeted early-career recruiting. Leverage alumni and staff for advocacy and referrals, and engage with early career talent, including apprentices and graduates.
Ensuring a seamless candidate experience is critical. With generative AI, it becomes easier to personalize and accelerate the recruitment process, keeping job postings competitive and enhancing the candidate experience through AI and agent architecture, making recruiting more engaging and efficient.
Finally, look for hidden workers such as caregivers, veterans, and others with a wealth of soft skills. These people are often overlooked or may think they are not a good fit for the insurance industry.
Not just a technological shift, but a cultural shift
To fully embed AI into the workforce and ensure tools and practices are adopted, insurers need to understand future role requirements, hone their skills gap identification and development processes, and leverage tools such as Skills.AI Identify external and internal skill acquisition needs. Additionally, AI should be used to conduct regular competitor analysis to further refine these recruitment strategies and ensure that everything on offer, including salary structures, is relevant to the market. By facilitating this cultural shift, together we can create a flexible workforce ready to meet the changing needs of the insurance industry today and into the future.
