Americans Embrace AI for Security but Draw a Hard Line at Autonomous Spending

The integration of artificial intelligence into the financial sector has reached a critical juncture, revealing a distinct psychological threshold for the average American consumer. According to new research from the 2026 FIS Consumer Pulse Survey, while the public is increasingly comfortable with AI acting as a digital bodyguard for their assets, they remain deeply skeptical of delegating actual spending decisions to algorithms. This clear divide in consumer sentiment provides a roadmap for financial institutions and advisors who are currently navigating the complexities of adopting agentic finance platforms.

The survey, conducted by financial technology firm FIS in partnership with Kantar, polled 2,000 U.S. adults between September 16 and 30, 2026. The findings suggest that the path to widespread adoption of AI in banking is not paved with promises of autonomous wealth management, but rather with the immediate, tangible benefits of fraud prevention.

Data from the report indicates that 57% of American adults are comfortable with an AI assistant automatically flagging or freezing a suspicious transaction without prior human consultation. This level of acceptance drops significantly when the role of AI shifts from protective to proactive. Only half of the respondents expressed comfort with an AI having the authority to execute any transaction on their behalf. For financial advisors and institutions, this data is vital: it underscores a population that is open to automation only in a narrowly defined, defensive context, while remaining fiercely protective of their own financial agency.

"The path to AI that moves money starts with AI that protects it," said Jim Johnson, Co-President of Banking Solutions at FIS. "Consumers are open to innovation on their terms: they want security, control and confidence that someone is accountable when something goes wrong. Banks that build AI around those expectations will earn the trust to do more."

Understanding the Hierarchy of Client Comfort

For advisors, the survey results offer a clear hierarchy of trust that should inform how they discuss technological tools with their clients. When asked about specific AI-assisted tasks, the respondents exhibited a tiered level of comfort that directly correlates with the perceived risk and consequence of the action.

The tasks involving "defensive" financial management garnered the highest approval. Beyond the 57% who support AI-driven fraud detection, 55% of respondents said they are comfortable with an AI paying a recurring bill that has been pre-approved. However, once the task involves the active movement or allocation of capital, enthusiasm wanes. Comfort levels fall to 47% for sending money to another person or business, 43% for opening a new savings account, and bottom out at 40% for applying for a loan or credit card.

This pattern suggests that clients are looking to delegate the "drudgery" of financial safety to AI, while reserving high-stakes, consequential financial decisions for human review. This disposition mirrors what many financial advisors are hearing on the front lines: clients are interested in the efficiency that technology provides, but they are unwilling to cede their role as the ultimate decision-maker in their financial lives.

The survey also identified the specific conditions required for clients to feel secure in delegating these tasks. When asked to name their top three criteria for trusting an AI assistant with their money, 58% of respondents prioritized a refund guarantee for any mistakes made by the system. Furthermore, 56% insisted on having immediate access to a human agent who can override an AI’s decision at any time. Among those who indicated they were not ready to turn their finances over to an AI, 70% cited a fundamental desire to maintain control, highlighting a deep-seated human need for oversight in an increasingly automated financial landscape.

The Generational Divide in Financial Automation

While the aggregate data paints a picture of caution, the industry cannot ignore a sharp generational divide that suggests a shift in the cultural attitude toward technology. The readiness to embrace AI-managed finances fluctuates wildly depending on the age of the respondent.

Millennials, those aged 30 to 45, stand at the forefront of this transition, with 61% expressing readiness to hand over day-to-day money management to an AI assistant. Gen Z respondents, aged 18 to 29, follow closely at 58%. This stands in stark contrast to the older demographics, where the appetite for such automation nearly evaporates. Among Gen X, aged 46 to 61, readiness drops to 33%. For those aged 62 to 69, that figure falls to 11%, and it reaches a negligible 3% among adults 70 and older.

Overall, the survey found that 37% of all respondents are prepared for AI-managed finances, while 49% are explicitly not. This generational gap echoes broader trends in how younger investors approach technology-driven advice, viewing AI as a utility rather than a threat. However, the fact that a strong majority of Americans, regardless of age, still want a human "hand on the wheel" serves as a powerful signal to firms that they must balance innovation with a high-touch human element to maintain client trust.

The Rising Threat of AI Impersonation

A critical finding that advisors should integrate into their client communications immediately is the prevalence of AI-driven fraud. With 35% of U.S. adults reporting that they have either been targeted by an AI impersonation scam or know someone who has, the threat is no longer theoretical—it is a live, day-to-day concern for the average household.

The sophistication of these scams is evolving rapidly. Among those who reported being personally targeted, 58% said the attempt came via a fake-voice phone call—a testament to the effectiveness of generative AI in cloning human speech. Younger generations report the highest exposure to these scams: 55% of Gen Z and 48% of millennials say they have either been personally targeted or have a close connection who has fallen victim to such fraud.

Interestingly, those same groups that report higher exposure also report higher confidence in their banks’ ability to thwart these attacks. 57% of Gen Z and 65% of millennials expressed confidence in their financial institution’s capacity to stop a deepfake scam, compared to 46% of the general population. When asked about recovery, 47% of all respondents expressed a belief that their bank would return money lost to such a sophisticated fraud, a metric that will likely become a critical differentiator in how consumers choose their banking partners in the coming years.

The prevalence of AI-driven fraud is creating a complex atmosphere of wariness within the advisory industry. As firms move to adopt new AI tools, they must contend with the fact that many clients view the technology with a degree of suspicion born from their own personal encounters with digital deception. The FIS findings point to a practical and necessary pivot for the advisory industry: lead with the protective capabilities of AI rather than the promise of replacing human judgment. Trust in AI-assisted finance is being earned incrementally, starting with security and moving toward autonomy only when clear, human-backed accountability is established. For advisors, the message is clear: the technology is a tool for support, but the client’s desire for human connection and control remains the bedrock of the advisory relationship.