Trust in technology: 

AI-driven personalization in consumer finance

The combination of low awareness, high privacy concerns, and the clear demand for human-AI collaboration suggests that trust—not technology—is the necessary ingredient for AI adoption in consumer finance.

 

Executive summary

Artificial Intelligence (AI) has revolutionized numerous industries, and consumer finance is no exception. AI-driven hyper-personalization—tailoring financial services and products based on individual preferences and behaviors—holds immense potential. However, despite these advancements, a significant trust gap exists. Americans remain largely unfamiliar with AI-powered financial solutions, adoption rates are low, and concerns over data privacy persist (Figure 1). Empower's "Trust in technology: AI-driven personalization in consumer finance study” delves into the challenges and opportunities for AI-driven personalization in consumer finance.

a) Low consumer awareness:

  • Two in three Americans (64%) are unfamiliar with AI-driven hyper-personalization in financial services.

  • One in three Millennials and high-income earners ($100k+) are most familiar with hyper-personalization, while Baby Boomers are the least familiar.

b) Privacy and security are the key barriers to adoption:

  • Despite technological advancements, only 7% of Americans say they use AI-driven financial planning tools.

  • While 26% see value in AI-personalized financial services, 59% cite data privacy and security concerns as major barriers.

c) Americans demand transparency and control:

  • 29% of Americans want clearer data usage disclosures from financial institutions.
  • 18% prefer AI-driven financial recommendations with manual adjustments.
Overcoming awareness and security barriers to meet consumer expectations
Low consumer awareness. Privacy and security are the key barriers to adoption. Americans demand transparency and control.

 

Financial institutions and employers alike can build trust through transparency, education, and consumer-centric AI models. The future of AI in finance will likely be hybrid—integrating human oversight with AI-driven insights to provide tailored, secure, and trusted financial solutions.


The hidden potential of hyper-personalization

Nearly two in three Americans (64%) are unfamiliar with hyper-personalization in financial services, underscoring a substantial education gap (Figure 2). Demographics play a role – awareness is higher among Millennials and high-income earners ($100k+), while Baby Boomers are the least familiar. But overall adoption lags innovation – despite industry advancements, only 7% of Americans use AI-driven financial planning tools. Privacy concerns create barriers – while 26% see value in personalized financial services, 59% cite data privacy and security as key concerns, making trust a significant hurdle.

Most Americans are unfamiliar with hyper-personalization in financial services
How familiar are you with the concept of hyper-personalization in financial services? 64% not familiar at all. 17% heard of it, but don't fully understand it. 11% somewhat familiar. 8% Very familiar.


Many Americans recognize the value of AI-driven personalization in consumer finance

More than a quarter of Americans (26%) recognize and acknowledge the value of hyper-personalization in improving financial decision-making (Figure 3). Younger generations see the most value – while one in four Gen Z (24%) cite better financial decision-making as the primary advantage, one in five Millennials (22%) highlight improved savings and budgeting habits. Digital banking apps (40%) are popular among Millennials, while Gen Z follows closely (34%). Credit monitoring tools (20%) are the most widely used AI-powered financial tool among Baby Boomers.

Many Americans recognize the value of AI-driven personalization


Privacy and security are the primary roadblocks

Three in five Americans (59%) express strong concerns over data privacy and security, with one in three Americans (33%) stating they are "very concerned" (Figure 4). Baby Boomers are the most apprehensive, particularly regarding AI-driven financial tools. 

Data privacy concerns remain the biggest barrier to adoption of AI


Driving consumer comfort with privacy and security

37% of Americans demand stronger privacy and security safeguards (Figure 5). 29% want clearer explanations of how their data is used. Two in five Baby Boomers (41%) and Gen Xers (40%) are the most concerned about data security. Gen Z is the most likely generation (15%) to already trust AI-powered financial tools, indicating a potential shift in future adoption.

Privacy and security measures are key to helping Americans feel comfortable about personalization


The future of AI in consumer finance: Automation with oversight

Human-AI collaboration is preferred – Americans are more likely to trust AI-driven financial tools if they include human oversight (Figure 6). About one in five Americans (18%) would prefer AI-generated recommendations that allow for manual adjustments.

Many consumers want personalization but not full automation


Americans demand practical benefits in AI-driven financial tools

Two in five Americans (19%) favor AI-powered real-time budgeting assistance and personalized investment recommendations (Figure 7). Nearly one in five Gen Z Americans (18%) would be more likely to adopt AI-driven financial tools if they provided real-time budgeting assistance.

Americans demand practical AI features, not just automation

 

Methodology

Empower’s “Trust in technology: AI-driven personalization in consumer finance study” is based on online survey responses from 2,203 Americans ages 18+ fielded by a third-party panel provider from February 13-14, 2025. The survey is weighted to be nationally representative of U.S. adults (aged 18+).

 

 

04.07.2025

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The Currency editors

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The CurrencyTM, a publication from Empower, covers the latest financial news and views shaping how we live, work, and play. We keep you current on ways to plan, save, and invest for life.

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