Americans Trust AI for Fraud Prevention but Hesitate on Finances

Recent findings from the 2026 FIS Consumer Pulse Survey reveal a nuanced perspective among Americans regarding artificial intelligence (AI) in financial management. While a majority express comfort with AI monitoring their finances, they draw a clear line at allowing AI to make autonomous spending decisions. This distinction is critical for financial institutions and advisors as they navigate the evolving landscape of AI-driven services.

The survey, conducted by FIS in partnership with Kantar, sampled 2,000 U.S. adults between September 16 and 30, 2026. It found that 57% of respondents are comfortable with AI flagging or freezing suspicious charges without prior approval. However, only 50% would trust AI to execute all transactions on their behalf. This indicates a strong preference for AI in fraud prevention, while clients remain hesitant about ceding control over significant financial decisions.

Jim Johnson, Co-President of Banking Solutions at FIS, emphasized the importance of building AI tools around consumer expectations of security and accountability. He noted that banks that prioritize these aspects are more likely to gain consumer trust and expand their AI capabilities. This sentiment is echoed in the survey results, which show that respondents are most comfortable with AI performing defensive tasks, such as flagging suspicious transactions or managing pre-approved payments. Comfort levels drop significantly for more consequential actions, such as sending money or applying for loans.

The generational divide is also notable. Millennials (ages 30 to 45) and Gen Z (ages 18 to 29) show a greater willingness to delegate day-to-day financial management to AI, with 61% and 58% respectively expressing readiness. In contrast, only 33% of Gen X (ages 46 to 61) and a mere 3% of those aged 70 and older feel similarly. This generational trend suggests that younger consumers are more open to technological integration in finance, reflecting broader shifts in how they engage with financial services.

Despite the openness to AI, significant skepticism remains. The survey revealed that 35% of U.S. adults have encountered AI impersonation scams, with younger generations reporting higher exposure rates. This experience contributes to a cautious approach toward AI in financial contexts. Notably, 58% of those targeted by scams expressed a desire for a human to review AI decisions, reinforcing the need for human oversight in financial management.

For financial advisors, the implications are clear. Conversations about AI should focus on its protective capabilities rather than its potential to replace human judgment. The findings suggest that trust in AI will be built incrementally, beginning with security measures and gradually moving towards greater autonomy as accountability is established. Advisors must be proactive in addressing client concerns about AI, particularly regarding security and the human oversight necessary for significant financial decisions.

Looking ahead, financial institutions that effectively integrate AI with a focus on consumer protection will likely gain a competitive advantage. As younger generations mature and their financial needs evolve, the demand for AI-driven solutions will increase, provided that these solutions are framed within a context of trust and accountability. Companies that can demonstrate a commitment to safeguarding consumer interests while leveraging AI technology will be well-positioned to lead in the financial services sector.