A significant majority of Britons are unwilling to rely on AI chatbots for advice on pensions and retirement planning, according to new research. While many are open to using AI for tasks like setting household budgets or finding savings deals, the complexities and long-term implications of retirement savings render them hesitant to trust artificial intelligence in this domain.
The study, conducted by pension firm Aegon, surveyed 2,000 adults across the UK. It revealed that 65 percent of respondents would never let an AI make a financial decision for them. This reluctance is particularly pronounced among older demographics, with 88 percent of those over 55 expressing skepticism about using AI for any financial matters, including household budgeting.
Even younger adults, aged 18 to 34, who generally show greater comfort with AI for financial management, exhibit caution. Only one in five in this age group indicated they would seek AI assistance for pension-related queries. This figure drops to one in six for those aged 35 to 54, and plummets to one in twenty for individuals over 55.
Dr. Tom Mathar, head of Money:Mindshift at Aegon, commented that retirement planning is fundamentally different from day-to-day financial management. "It's not just about money," he stated. "It's about the kind of life people want to lead, how long that money needs to last, and balancing the needs of their present self with the hopes of their future self."
Experts like former Pensions Minister Steve Webb, now a partner at LCP, advise caution when using AI for financial information. Webb, who contributes regular advice to This is Money, acknowledges using AI tools for research but stresses the potential for inaccuracies, a phenomenon known as 'hallucinating'. "AI can simply get things wrong," he warned. He recommends that users ask AI tools to cite sources, preferably official ones like gov.uk, to allow for independent verification of the information provided.
Webb also suggests that the quality of AI responses can vary significantly based on how a question is phrased. Experimenting with different formulations of a query may yield more comprehensive or accurate results. He emphasizes that if a user is seeking AI assistance precisely because a subject is unfamiliar, it becomes challenging to discern whether the AI's answer is correct.
The research highlights a stark contrast between AI's perceived utility for immediate financial tasks and its perceived inadequacy for long-term, high-stakes decisions like retirement planning. This suggests that while AI may become a more integrated part of personal finance tools, its role in guiding critical life decisions related to long-term security and future well-being remains a significant point of public concern.